‍

Session D: AI Support and Creativity

Room: Auditorium

Chair: Kwong Chan

‍"Office-Mind AI: A Generative AI Tool for Gig Workers"
Christopher Curtis (Northeastern University), Seth Cooper (Northeastern University), Saiph Savage (Northeastern University)

"Towards collaborative brainstorming among humans and AI agents: an implementation of the IBIS-based brainstorming support system with multiple AI agents"
Moeka Nomura (Kyoto University), Takayuki Ito (Kyoto University), Shiyao Ding (Kyoto University)

‍"Supermind Ideator: How Scaffolding human-ai collaboration can increase creativity"
Jennifer Heyman (MIT), Steven Rick (MIT), Gianni Giacomelli (MIT), Haoran Wen (MIT), Robert Laubacher (MIT), Nancy Taubenslag (MIT), Max Knicker (Ecole Polytechnique), Younes Jeddi (Mohammed VI Polytechnic University), Pranav Ragupathy (MIT), Jared Curhan (MIT), Thomas Malone (MIT)

‍

‍

Session E: Sociality

Room: ISEC 140+142

Chair: Emily Hu

"The robust benefits of social influence for the wisdom of individuals in the crowd"
Charlie Pilgrim (University of Leeds), Joshua Becker (University College London)

"Towards unifying the understanding of social learnings' impact on collective decisions"  
Vicky Yang (MIT), Levi Grenier (MIT)

"Collective Emotional Intelligence? Social Information does not improve Group Judgement Accuracy in Emotion Judgements"  
‍Tom Taiyi (UCL School of Management), Amit Goldenberg (Harvard HBS)

‍

Session F: Mechanisms

Room: ISEC 136

Chair: Steven Sloman

"An AI-powered cross-device system to enhance group cohesion and collective intelligence at workshops" Jude Abishek Rayan (University of California, San Diego), Jinmao Wang (University of California, San Diego), Yifan Gong (University of California, San Diego), Nan Jiang (University of California, San Diego), Steven P. Dow (University of California, San Diego)

"Evaluating prediction mechanisms: a profitability test"
Rajiv Sethi (Barnard College, Columbia University), Julie Seager (Barnard College), Daniel Benjamin (Nova Southeastern University), Fred Morstatter (University of Southern California), Olivia Bobrownicki (Barnard College), Emily Cai (Columbia University), Yuqi Cheng (Barnard College), Anushka Kumar (Barnard College), Anusha Wanganoo (Barnard College)

"Full characterization of adaptively strong majority voting in crowdsourcing"  
‍Margarita Boyarskaya (NYU Stern), Panos Ipeirotis (NYU Stern)

‍"Task allocation in teams as a multi-armed bandit"
Raja Marjieh (Princeton University), Anand Gokhale (University of California Santa Barbara), Francesce Bullo (University of California Santa Barbara), Tom Griffiths (Princeton University)

‍

‍

‍

Session W1

Room: ISEC 138

‍

"Workshop on Safe AI-Enabled Systems through Collective Intelligence"
Thomas Kopinski (South Westphalia University of Applied Sciences), Justice Sefas (University of British Columbia), Michael Walters (Gaia Consortium)
‍

‍

Poster slam presentations

Room: Auditorium

‍

Teaching to Learn and Learning to Teach: Using Machine Training to Develop Artificial Intelligence Partners in Organizations"
‍Andrea Lipparini, Maurizio Sobrero and Korinzia Toniolo

‍GigSense: An LLM-Infused Tool for Workers’ Collective Intelligence
‍Kashif Imteyaz, Claudia Flores-Saviaga and Saiph Savage

‍Examining the Effects of Explainable Hints in AI-Driven Training
‍Torrence Farmer and Chien-Ju Ho

‍Automatic Evaluation of Discussion Quality using LLM Data Augmentation
‍Kazuhito Mori, Shiyao Ding, Susumu Ohnuma, Yume Souma and Takayuki Ito

‍An Empirical Study of the El Farol Bar Problem
‍Edgar Andrade-Lotero and Robert Goldstone

‍The Epistemic Potential of Adversarial Cooperation
‍Almos Molnar

‍The Impact of Technological Breakthrough on Subsequent Invention Search: Evidence from a Quasi-Experiment in Deep Learning
‍Wei Yang, Yuchen Zhang and Weiguo Zhong

‍Decoding Collective Decision-Making in a Two-Day SIGCHI-Supported HCI Workshop
‍Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍KnEvol: A Simulation for Examining the Role of Social Bias in Collective Intelligence
‍Laroyce Covington and Joshua Introne

‍Large Language Models (LLMs) for Communication Disorders: Collective Intelligence from Speech Language and Hearing Science
‍Yao Du, Bingshen Yao and Dakuo Wang

‍

‍

‍

Session G: Communication

Room: Auditorium

Chair: Seth Bullock

"The echo chambers of complexity: exploring the impact of design complexity on groupthink and innovation - An experimental study"  
‍Soumyakant Padhee (Lenoir-Rhyne University), Babak Heydari (Northeastern University)

‍"Unraveling Communication mechanisms for aggregation and food exchange among honeybees"
‍Golnar Gharooni Fard (University of Colorado Boulder), Anna Rahn (University of Colorado Boulder), Richard Terrile (University of Colorado Boulder), Elizabeth Bradley (University of Colorado Boulder), Orit Peleg (University of Colorado Boulder)

‍"Multidisciplinary learning through collective performance favors decentralization"  
‍John Meluso (University of Vermont), Laurent Hebert-Dufresne (University of Vermont)

‍"Harnessing partisan motives to solve the misinformation problem"  
‍Cameron Martel (MIT Sloan), Jennifer Allen (MIT Sloan), David Rand (MIT Sloan)

‍

Session H: Human-AI Teams

Room: ISEC 140+142

Chair: Victor Seidel

"The collaborative caring virtual testbed: a software platform for prototyping collective intelligence interventions for asynchronous care-teams"  
Andrew Kuznetsov (Carnegie Mellon University), Ping-Ya Chao (Carnegie Mellon University), Chrisopher Dishop (Carnegie Mellon University), Allen Brown (Carnegie Mellon University), Anita Williams Woolley (Carnegie Mellon University)

"Nuanced effect of human trust in AI on human-ai collaboration performance"  
Danushka Bandara (Fairfield University), Robert Dillon (Fairfield University), Noor Khattak (Fairfield University)

"Learning with AI assistance: a path to better task performance or dependence?"  
Sheer Karny (University of California, Irvine),, Lukas William Mayer (University of California, Irvine), Jackie Ayoub (Honda Research Institute), Miao Song (Honda Research Institute), Haotian Su (Honda Research Institute), Danyang Tian (Honda Research Institute), Ehsan Moradi-Pari (Honda Research Institute), Mark Steyver (University of California, Irvine)

"When are human-ai groups useful?"  
Michelle Vaccaro (MIT), Abdullah Almaatouq (MIT), Thomas Malone (MIT)

‍

Session I: Beliefs 1

Room: ISEC 136

Chair: Torben Andersen

"Using the belief landscape model to predict individual belief dynamics"  
Jianghui Li (Syracuse University), Joshua Introne (Syracuse University)

"Using artificial intelligence to accelerate collective intelligence: policy synth and smarter crowdsourcing"
Robert Bjarnason (Citizens Foundation), Dane Gambrell (The GovLab)

"Multiple AI agents that support crowd discussion"
Takayuki Ito (Kyoto University), Yihan Dong (Kyoto University), Jawad Ahmad Haqbeen (Kyoto University), Tokuro Matsuo (Advanced Institute of Industrial Technology), Sofia Sahab (Kyoto University)

‍

Session A: Wisdom of crowds

Room: Auditorium

Chair: Joshua Introne

"Evaluating News Domain Quality through a Wisdom of Expert Crowds Approach"  
‍Hause Lin (MIT), Jana Lasser (Graz University of Technology), Stephan Lewandowsky (University of Bristol), Rocky Cole (MIT), Andrew Gully (Google Jigsaw), David Rand (MIT), Gordon Pennycook (Cornell University)

‍"Estimates are not decisions: how wise crowds can make unwise choices"  
‍Jingze Wang (UCL School of Management), Joshua Becker (UCL School of Management)

‍"Leveraging advice-taking and kernel density estimation to identify a cluster of experts and improve wisdom of crowds"  
‍Yunhao Zhang (University of California, Berkeley)

‍"Averaging, Communication, and Wisdom of crowds"
‍Ulrike Hahn (Birkbeck College, University of London and Munich Center for Mathematical Philosophy (LMU)), Leon Assaad (Munich Center for Mathematical Philosophy (LMU)), Jason Burton (Copenhagen Business School)

‍

Session B: Large Language Models

Room: ISEC 140+142

Chair: Abraham Bernstein

‍"Does reading the literature improve the ability to predict the effects of interventions?"  
‍Robin Na (MIT), Abdullah Almaatouq (MIT)

‍"AI-in-the-loop expert labelling for LLM's real-world domain adaptation"  
‍Bingsheng Yao (Northeastern University), Dakuo Wang (Northeastern University)

‍"Automated social science: a structural causal model-based approach"  
‍Kehang Zhu (Harvard), Benjamin Manning (MIT), John Horton (MIT)

‍"Tripartite intelligence: synergizing deep neural network, large language model, and human intelligence for public health misinformation detection"  
‍Yang Zhang (University of Illinois at Urbana-Champaign), Rouhan Zong (University of Illinois at Urbana-Champaign), Lanyu Shang (University of Illinois at Urbana-Champaign), Zhenrui Yue (University of Illinois at Urbana-Champaign), Huimin Zeng (University of Illinois at Urbana-Champaign), Yifan Liu (University of Illinois at Urbana-Champaign), Dong Wang (University of Illinois at Urbana-Champaign)

‍

Session C: Open Source

Room: ISEC 136

Chair: Vicky Yang

"Emergent Structures and roles of and open science community during crisis: the case of OpenCovid19"
‍Camille Masselot (Universite Paris Cite, Inserm), Olga Kokshagina (Edhec Business School), Marc Santolini (Universite Paris Cite, Inserm)‍

"How can open source technology ecosystems create value? Evidence from investors' reactions to firms' github code releases"  
‍Wei Yang (China Europe International Business School)

‍"Generative AI and distributed work: evidence from open source software"  
‍Manuel Hoffman (Harvard Business School), Sam Boysel (Harvard Business School), Frank Nagle (Harvard Business School), Sida Peng (Microsoft Corporation), Kevin Xu (Github Inc.)

‍"Collective adaptation of human behavior during global crises: a COVID-19 case study"  
‍Tamanna Urmi (Northeastern University), Chris Riedl (Northeastern University), David Lazer (Northeastern University), Mauricio Santillana (Northeastern University)

‍

Session W1

Room: ISEC 138

‍

"Enhancing Hypermind Operations: Leveraging Collective Intelligence and Exploring AI Integration - A Panel Discussion"
Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍

Session D: AI Support and Creativity

Room: Auditorium

Chair: Kwong Chan

‍"Office-Mind AI: A Generative AI Tool for Gig Workers"
Christopher Curtis (Northeastern University), Seth Cooper (Northeastern University), Saiph Savage (Northeastern University)

"Towards collaborative brainstorming among humans and AI agents: an implementation of the IBIS-based brainstorming support system with multiple AI agents"
Moeka Nomura (Kyoto University), Takayuki Ito (Kyoto University), Shiyao Ding (Kyoto University)

‍"Supermind Ideator: How Scaffolding human-ai collaboration can increase creativity"
Jennifer Heyman (MIT), Steven Rick (MIT), Gianni Giacomelli (MIT), Haoran Wen (MIT), Robert Laubacher (MIT), Nancy Taubenslag (MIT), Max Knicker (Ecole Polytechnique), Younes Jeddi (Mohammed VI Polytechnic University), Pranav Ragupathy (MIT), Jared Curhan (MIT), Thomas Malone (MIT)

‍

‍

Session E: Sociality

Room: ISEC 140+142

Chair: Emily Hu

"The robust benefits of social influence for the wisdom of individuals in the crowd"
Charlie Pilgrim (University of Leeds), Joshua Becker (University College London)

"Towards unifying the understanding of social learnings' impact on collective decisions"  
Vicky Yang (MIT), Levi Grenier (MIT)

"Collective Emotional Intelligence? Social Information does not improve Group Judgement Accuracy in Emotion Judgements"  
‍Tom Taiyi (UCL School of Management), Amit Goldenberg (Harvard HBS)

‍

Session F: Mechanisms

Room: ISEC 136

Chair: Steven Sloman

"An AI-powered cross-device system to enhance group cohesion and collective intelligence at workshops" Jude Abishek Rayan (University of California, San Diego), Jinmao Wang (University of California, San Diego), Yifan Gong (University of California, San Diego), Nan Jiang (University of California, San Diego), Steven P. Dow (University of California, San Diego)

"Evaluating prediction mechanisms: a profitability test"
Rajiv Sethi (Barnard College, Columbia University), Julie Seager (Barnard College), Daniel Benjamin (Nova Southeastern University), Fred Morstatter (University of Southern California), Olivia Bobrownicki (Barnard College), Emily Cai (Columbia University), Yuqi Cheng (Barnard College), Anushka Kumar (Barnard College), Anusha Wanganoo (Barnard College)

"Full characterization of adaptively strong majority voting in crowdsourcing"  
‍Margarita Boyarskaya (NYU Stern), Panos Ipeirotis (NYU Stern)

‍"Task allocation in teams as a multi-armed bandit"
Raja Marjieh (Princeton University), Anand Gokhale (University of California Santa Barbara), Francesce Bullo (University of California Santa Barbara), Tom Griffiths (Princeton University)

‍

‍

‍

Session W1

Room: ISEC 138

‍

"Workshop on Safe AI-Enabled Systems through Collective Intelligence"
Thomas Kopinski (South Westphalia University of Applied Sciences), Justice Sefas (University of British Columbia), Michael Walters (Gaia Consortium)
‍

‍

Poster slam presentations

Room: Auditorium

‍

Teaching to Learn and Learning to Teach: Using Machine Training to Develop Artificial Intelligence Partners in Organizations"
‍Andrea Lipparini, Maurizio Sobrero and Korinzia Toniolo

‍GigSense: An LLM-Infused Tool for Workers’ Collective Intelligence
‍Kashif Imteyaz, Claudia Flores-Saviaga and Saiph Savage

‍Examining the Effects of Explainable Hints in AI-Driven Training
‍Torrence Farmer and Chien-Ju Ho

‍Automatic Evaluation of Discussion Quality using LLM Data Augmentation
‍Kazuhito Mori, Shiyao Ding, Susumu Ohnuma, Yume Souma and Takayuki Ito

‍An Empirical Study of the El Farol Bar Problem
‍Edgar Andrade-Lotero and Robert Goldstone

‍The Epistemic Potential of Adversarial Cooperation
‍Almos Molnar

‍The Impact of Technological Breakthrough on Subsequent Invention Search: Evidence from a Quasi-Experiment in Deep Learning
‍Wei Yang, Yuchen Zhang and Weiguo Zhong

‍Decoding Collective Decision-Making in a Two-Day SIGCHI-Supported HCI Workshop
‍Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍KnEvol: A Simulation for Examining the Role of Social Bias in Collective Intelligence
‍Laroyce Covington and Joshua Introne

‍Large Language Models (LLMs) for Communication Disorders: Collective Intelligence from Speech Language and Hearing Science
‍Yao Du, Bingshen Yao and Dakuo Wang

‍

‍

‍

Session G: Communication

Room: Auditorium

Chair: Seth Bullock

"The echo chambers of complexity: exploring the impact of design complexity on groupthink and innovation - An experimental study"  
‍Soumyakant Padhee (Lenoir-Rhyne University), Babak Heydari (Northeastern University)

‍"Unraveling Communication mechanisms for aggregation and food exchange among honeybees"
‍Golnar Gharooni Fard (University of Colorado Boulder), Anna Rahn (University of Colorado Boulder), Richard Terrile (University of Colorado Boulder), Elizabeth Bradley (University of Colorado Boulder), Orit Peleg (University of Colorado Boulder)

‍"Multidisciplinary learning through collective performance favors decentralization"  
‍John Meluso (University of Vermont), Laurent Hebert-Dufresne (University of Vermont)

‍"Harnessing partisan motives to solve the misinformation problem"  
‍Cameron Martel (MIT Sloan), Jennifer Allen (MIT Sloan), David Rand (MIT Sloan)

‍

Session H: Human-AI Teams

Room: ISEC 140+142

Chair: Victor Seidel

"The collaborative caring virtual testbed: a software platform for prototyping collective intelligence interventions for asynchronous care-teams"  
Andrew Kuznetsov (Carnegie Mellon University), Ping-Ya Chao (Carnegie Mellon University), Chrisopher Dishop (Carnegie Mellon University), Allen Brown (Carnegie Mellon University), Anita Williams Woolley (Carnegie Mellon University)

"Nuanced effect of human trust in AI on human-ai collaboration performance"  
Danushka Bandara (Fairfield University), Robert Dillon (Fairfield University), Noor Khattak (Fairfield University)

"Learning with AI assistance: a path to better task performance or dependence?"  
Sheer Karny (University of California, Irvine),, Lukas William Mayer (University of California, Irvine), Jackie Ayoub (Honda Research Institute), Miao Song (Honda Research Institute), Haotian Su (Honda Research Institute), Danyang Tian (Honda Research Institute), Ehsan Moradi-Pari (Honda Research Institute), Mark Steyver (University of California, Irvine)

"When are human-ai groups useful?"  
Michelle Vaccaro (MIT), Abdullah Almaatouq (MIT), Thomas Malone (MIT)

‍

Session I: Beliefs 1

Room: ISEC 136

Chair: Torben Andersen

"Using the belief landscape model to predict individual belief dynamics"  
Jianghui Li (Syracuse University), Joshua Introne (Syracuse University)

"Using artificial intelligence to accelerate collective intelligence: policy synth and smarter crowdsourcing"
Robert Bjarnason (Citizens Foundation), Dane Gambrell (The GovLab)

"Multiple AI agents that support crowd discussion"
Takayuki Ito (Kyoto University), Yihan Dong (Kyoto University), Jawad Ahmad Haqbeen (Kyoto University), Tokuro Matsuo (Advanced Institute of Industrial Technology), Sofia Sahab (Kyoto University)

‍

Session A: Wisdom of crowds

Room: Auditorium

Chair: Joshua Introne

"Evaluating News Domain Quality through a Wisdom of Expert Crowds Approach"  
‍Hause Lin (MIT), Jana Lasser (Graz University of Technology), Stephan Lewandowsky (University of Bristol), Rocky Cole (MIT), Andrew Gully (Google Jigsaw), David Rand (MIT), Gordon Pennycook (Cornell University)

‍"Estimates are not decisions: how wise crowds can make unwise choices"  
‍Jingze Wang (UCL School of Management), Joshua Becker (UCL School of Management)

‍"Leveraging advice-taking and kernel density estimation to identify a cluster of experts and improve wisdom of crowds"  
‍Yunhao Zhang (University of California, Berkeley)

‍"Averaging, Communication, and Wisdom of crowds"
‍Ulrike Hahn (Birkbeck College, University of London and Munich Center for Mathematical Philosophy (LMU)), Leon Assaad (Munich Center for Mathematical Philosophy (LMU)), Jason Burton (Copenhagen Business School)

‍

Session B: Large Language Models

Room: ISEC 140+142

Chair: Abraham Bernstein

‍"Does reading the literature improve the ability to predict the effects of interventions?"  
‍Robin Na (MIT), Abdullah Almaatouq (MIT)

‍"AI-in-the-loop expert labelling for LLM's real-world domain adaptation"  
‍Bingsheng Yao (Northeastern University), Dakuo Wang (Northeastern University)

‍"Automated social science: a structural causal model-based approach"  
‍Kehang Zhu (Harvard), Benjamin Manning (MIT), John Horton (MIT)

‍"Tripartite intelligence: synergizing deep neural network, large language model, and human intelligence for public health misinformation detection"  
‍Yang Zhang (University of Illinois at Urbana-Champaign), Rouhan Zong (University of Illinois at Urbana-Champaign), Lanyu Shang (University of Illinois at Urbana-Champaign), Zhenrui Yue (University of Illinois at Urbana-Champaign), Huimin Zeng (University of Illinois at Urbana-Champaign), Yifan Liu (University of Illinois at Urbana-Champaign), Dong Wang (University of Illinois at Urbana-Champaign)

‍

Session C: Open Source

Room: ISEC 136

Chair: Vicky Yang

"Emergent Structures and roles of and open science community during crisis: the case of OpenCovid19"
‍Camille Masselot (Universite Paris Cite, Inserm), Olga Kokshagina (Edhec Business School), Marc Santolini (Universite Paris Cite, Inserm)‍

"How can open source technology ecosystems create value? Evidence from investors' reactions to firms' github code releases"  
‍Wei Yang (China Europe International Business School)

‍"Generative AI and distributed work: evidence from open source software"  
‍Manuel Hoffman (Harvard Business School), Sam Boysel (Harvard Business School), Frank Nagle (Harvard Business School), Sida Peng (Microsoft Corporation), Kevin Xu (Github Inc.)

‍"Collective adaptation of human behavior during global crises: a COVID-19 case study"  
‍Tamanna Urmi (Northeastern University), Chris Riedl (Northeastern University), David Lazer (Northeastern University), Mauricio Santillana (Northeastern University)

‍

Session W1

Room: ISEC 138

‍

"Enhancing Hypermind Operations: Leveraging Collective Intelligence and Exploring AI Integration - A Panel Discussion"
Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍

Session D: AI Support and Creativity

Room: Auditorium

Chair: Kwong Chan

‍"Office-Mind AI: A Generative AI Tool for Gig Workers"
Christopher Curtis (Northeastern University), Seth Cooper (Northeastern University), Saiph Savage (Northeastern University)

"Towards collaborative brainstorming among humans and AI agents: an implementation of the IBIS-based brainstorming support system with multiple AI agents"
Moeka Nomura (Kyoto University), Takayuki Ito (Kyoto University), Shiyao Ding (Kyoto University)

‍"Supermind Ideator: How Scaffolding human-ai collaboration can increase creativity"
Jennifer Heyman (MIT), Steven Rick (MIT), Gianni Giacomelli (MIT), Haoran Wen (MIT), Robert Laubacher (MIT), Nancy Taubenslag (MIT), Max Knicker (Ecole Polytechnique), Younes Jeddi (Mohammed VI Polytechnic University), Pranav Ragupathy (MIT), Jared Curhan (MIT), Thomas Malone (MIT)

‍

‍

Session E: Sociality

Room: ISEC 140+142

Chair: Emily Hu

"The robust benefits of social influence for the wisdom of individuals in the crowd"
Charlie Pilgrim (University of Leeds), Joshua Becker (University College London)

"Towards unifying the understanding of social learnings' impact on collective decisions"  
Vicky Yang (MIT), Levi Grenier (MIT)

"Collective Emotional Intelligence? Social Information does not improve Group Judgement Accuracy in Emotion Judgements"  
‍Tom Taiyi (UCL School of Management), Amit Goldenberg (Harvard HBS)

‍

Session F: Mechanisms

Room: ISEC 136

Chair: Steven Sloman

"An AI-powered cross-device system to enhance group cohesion and collective intelligence at workshops" Jude Abishek Rayan (University of California, San Diego), Jinmao Wang (University of California, San Diego), Yifan Gong (University of California, San Diego), Nan Jiang (University of California, San Diego), Steven P. Dow (University of California, San Diego)

"Evaluating prediction mechanisms: a profitability test"
Rajiv Sethi (Barnard College, Columbia University), Julie Seager (Barnard College), Daniel Benjamin (Nova Southeastern University), Fred Morstatter (University of Southern California), Olivia Bobrownicki (Barnard College), Emily Cai (Columbia University), Yuqi Cheng (Barnard College), Anushka Kumar (Barnard College), Anusha Wanganoo (Barnard College)

"Full characterization of adaptively strong majority voting in crowdsourcing"  
‍Margarita Boyarskaya (NYU Stern), Panos Ipeirotis (NYU Stern)

‍"Task allocation in teams as a multi-armed bandit"
Raja Marjieh (Princeton University), Anand Gokhale (University of California Santa Barbara), Francesce Bullo (University of California Santa Barbara), Tom Griffiths (Princeton University)

‍

‍

‍

Session W1

Room: ISEC 138

‍

"Workshop on Safe AI-Enabled Systems through Collective Intelligence"
Thomas Kopinski (South Westphalia University of Applied Sciences), Justice Sefas (University of British Columbia), Michael Walters (Gaia Consortium)
‍

‍

Poster slam presentations

Room: Auditorium

‍

Teaching to Learn and Learning to Teach: Using Machine Training to Develop Artificial Intelligence Partners in Organizations"
‍Andrea Lipparini, Maurizio Sobrero and Korinzia Toniolo

‍GigSense: An LLM-Infused Tool for Workers’ Collective Intelligence
‍Kashif Imteyaz, Claudia Flores-Saviaga and Saiph Savage

‍Examining the Effects of Explainable Hints in AI-Driven Training
‍Torrence Farmer and Chien-Ju Ho

‍Automatic Evaluation of Discussion Quality using LLM Data Augmentation
‍Kazuhito Mori, Shiyao Ding, Susumu Ohnuma, Yume Souma and Takayuki Ito

‍An Empirical Study of the El Farol Bar Problem
‍Edgar Andrade-Lotero and Robert Goldstone

‍The Epistemic Potential of Adversarial Cooperation
‍Almos Molnar

‍The Impact of Technological Breakthrough on Subsequent Invention Search: Evidence from a Quasi-Experiment in Deep Learning
‍Wei Yang, Yuchen Zhang and Weiguo Zhong

‍Decoding Collective Decision-Making in a Two-Day SIGCHI-Supported HCI Workshop
‍Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍KnEvol: A Simulation for Examining the Role of Social Bias in Collective Intelligence
‍Laroyce Covington and Joshua Introne

‍Large Language Models (LLMs) for Communication Disorders: Collective Intelligence from Speech Language and Hearing Science
‍Yao Du, Bingshen Yao and Dakuo Wang

‍

‍

‍

Session G: Communication

Room: Auditorium

Chair: Seth Bullock

"The echo chambers of complexity: exploring the impact of design complexity on groupthink and innovation - An experimental study"  
‍Soumyakant Padhee (Lenoir-Rhyne University), Babak Heydari (Northeastern University)

‍"Unraveling Communication mechanisms for aggregation and food exchange among honeybees"
‍Golnar Gharooni Fard (University of Colorado Boulder), Anna Rahn (University of Colorado Boulder), Richard Terrile (University of Colorado Boulder), Elizabeth Bradley (University of Colorado Boulder), Orit Peleg (University of Colorado Boulder)

‍"Multidisciplinary learning through collective performance favors decentralization"  
‍John Meluso (University of Vermont), Laurent Hebert-Dufresne (University of Vermont)

‍"Harnessing partisan motives to solve the misinformation problem"  
‍Cameron Martel (MIT Sloan), Jennifer Allen (MIT Sloan), David Rand (MIT Sloan)

‍

Session H: Human-AI Teams

Room: ISEC 140+142

Chair: Victor Seidel

"The collaborative caring virtual testbed: a software platform for prototyping collective intelligence interventions for asynchronous care-teams"  
Andrew Kuznetsov (Carnegie Mellon University), Ping-Ya Chao (Carnegie Mellon University), Chrisopher Dishop (Carnegie Mellon University), Allen Brown (Carnegie Mellon University), Anita Williams Woolley (Carnegie Mellon University)

"Nuanced effect of human trust in AI on human-ai collaboration performance"  
Danushka Bandara (Fairfield University), Robert Dillon (Fairfield University), Noor Khattak (Fairfield University)

"Learning with AI assistance: a path to better task performance or dependence?"  
Sheer Karny (University of California, Irvine),, Lukas William Mayer (University of California, Irvine), Jackie Ayoub (Honda Research Institute), Miao Song (Honda Research Institute), Haotian Su (Honda Research Institute), Danyang Tian (Honda Research Institute), Ehsan Moradi-Pari (Honda Research Institute), Mark Steyver (University of California, Irvine)

"When are human-ai groups useful?"  
Michelle Vaccaro (MIT), Abdullah Almaatouq (MIT), Thomas Malone (MIT)

‍

Session I: Beliefs 1

Room: ISEC 136

Chair: Torben Andersen

"Using the belief landscape model to predict individual belief dynamics"  
Jianghui Li (Syracuse University), Joshua Introne (Syracuse University)

"Using artificial intelligence to accelerate collective intelligence: policy synth and smarter crowdsourcing"
Robert Bjarnason (Citizens Foundation), Dane Gambrell (The GovLab)

"Multiple AI agents that support crowd discussion"
Takayuki Ito (Kyoto University), Yihan Dong (Kyoto University), Jawad Ahmad Haqbeen (Kyoto University), Tokuro Matsuo (Advanced Institute of Industrial Technology), Sofia Sahab (Kyoto University)

‍

Session A: Wisdom of crowds

Room: Auditorium

Chair: Joshua Introne

"Evaluating News Domain Quality through a Wisdom of Expert Crowds Approach"  
‍Hause Lin (MIT), Jana Lasser (Graz University of Technology), Stephan Lewandowsky (University of Bristol), Rocky Cole (MIT), Andrew Gully (Google Jigsaw), David Rand (MIT), Gordon Pennycook (Cornell University)

‍"Estimates are not decisions: how wise crowds can make unwise choices"  
‍Jingze Wang (UCL School of Management), Joshua Becker (UCL School of Management)

‍"Leveraging advice-taking and kernel density estimation to identify a cluster of experts and improve wisdom of crowds"  
‍Yunhao Zhang (University of California, Berkeley)

‍"Averaging, Communication, and Wisdom of crowds"
‍Ulrike Hahn (Birkbeck College, University of London and Munich Center for Mathematical Philosophy (LMU)), Leon Assaad (Munich Center for Mathematical Philosophy (LMU)), Jason Burton (Copenhagen Business School)

‍

Session B: Large Language Models

Room: ISEC 140+142

Chair: Abraham Bernstein

‍"Does reading the literature improve the ability to predict the effects of interventions?"  
‍Robin Na (MIT), Abdullah Almaatouq (MIT)

‍"AI-in-the-loop expert labelling for LLM's real-world domain adaptation"  
‍Bingsheng Yao (Northeastern University), Dakuo Wang (Northeastern University)

‍"Automated social science: a structural causal model-based approach"  
‍Kehang Zhu (Harvard), Benjamin Manning (MIT), John Horton (MIT)

‍"Tripartite intelligence: synergizing deep neural network, large language model, and human intelligence for public health misinformation detection"  
‍Yang Zhang (University of Illinois at Urbana-Champaign), Rouhan Zong (University of Illinois at Urbana-Champaign), Lanyu Shang (University of Illinois at Urbana-Champaign), Zhenrui Yue (University of Illinois at Urbana-Champaign), Huimin Zeng (University of Illinois at Urbana-Champaign), Yifan Liu (University of Illinois at Urbana-Champaign), Dong Wang (University of Illinois at Urbana-Champaign)

‍

Session C: Open Source

Room: ISEC 136

Chair: Vicky Yang

"Emergent Structures and roles of and open science community during crisis: the case of OpenCovid19"
‍Camille Masselot (Universite Paris Cite, Inserm), Olga Kokshagina (Edhec Business School), Marc Santolini (Universite Paris Cite, Inserm)‍

"How can open source technology ecosystems create value? Evidence from investors' reactions to firms' github code releases"  
‍Wei Yang (China Europe International Business School)

‍"Generative AI and distributed work: evidence from open source software"  
‍Manuel Hoffman (Harvard Business School), Sam Boysel (Harvard Business School), Frank Nagle (Harvard Business School), Sida Peng (Microsoft Corporation), Kevin Xu (Github Inc.)

‍"Collective adaptation of human behavior during global crises: a COVID-19 case study"  
‍Tamanna Urmi (Northeastern University), Chris Riedl (Northeastern University), David Lazer (Northeastern University), Mauricio Santillana (Northeastern University)

‍

Session W1

Room: ISEC 138

‍

"Enhancing Hypermind Operations: Leveraging Collective Intelligence and Exploring AI Integration - A Panel Discussion"
Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍

Session D: AI Support and Creativity

Room: Auditorium

Chair: Kwong Chan

‍"Office-Mind AI: A Generative AI Tool for Gig Workers"
Christopher Curtis (Northeastern University), Seth Cooper (Northeastern University), Saiph Savage (Northeastern University)

"Towards collaborative brainstorming among humans and AI agents: an implementation of the IBIS-based brainstorming support system with multiple AI agents"
Moeka Nomura (Kyoto University), Takayuki Ito (Kyoto University), Shiyao Ding (Kyoto University)

‍"Supermind Ideator: How Scaffolding human-ai collaboration can increase creativity"
Jennifer Heyman (MIT), Steven Rick (MIT), Gianni Giacomelli (MIT), Haoran Wen (MIT), Robert Laubacher (MIT), Nancy Taubenslag (MIT), Max Knicker (Ecole Polytechnique), Younes Jeddi (Mohammed VI Polytechnic University), Pranav Ragupathy (MIT), Jared Curhan (MIT), Thomas Malone (MIT)

‍

‍

Session E: Sociality

Room: ISEC 140+142

Chair: Emily Hu

"The robust benefits of social influence for the wisdom of individuals in the crowd"
Charlie Pilgrim (University of Leeds), Joshua Becker (University College London)

"Towards unifying the understanding of social learnings' impact on collective decisions"  
Vicky Yang (MIT), Levi Grenier (MIT)

"Collective Emotional Intelligence? Social Information does not improve Group Judgement Accuracy in Emotion Judgements"  
‍Tom Taiyi (UCL School of Management), Amit Goldenberg (Harvard HBS)

‍

Session F: Mechanisms

Room: ISEC 136

Chair: Steven Sloman

"An AI-powered cross-device system to enhance group cohesion and collective intelligence at workshops" Jude Abishek Rayan (University of California, San Diego), Jinmao Wang (University of California, San Diego), Yifan Gong (University of California, San Diego), Nan Jiang (University of California, San Diego), Steven P. Dow (University of California, San Diego)

"Evaluating prediction mechanisms: a profitability test"
Rajiv Sethi (Barnard College, Columbia University), Julie Seager (Barnard College), Daniel Benjamin (Nova Southeastern University), Fred Morstatter (University of Southern California), Olivia Bobrownicki (Barnard College), Emily Cai (Columbia University), Yuqi Cheng (Barnard College), Anushka Kumar (Barnard College), Anusha Wanganoo (Barnard College)

"Full characterization of adaptively strong majority voting in crowdsourcing"  
‍Margarita Boyarskaya (NYU Stern), Panos Ipeirotis (NYU Stern)

‍"Task allocation in teams as a multi-armed bandit"
Raja Marjieh (Princeton University), Anand Gokhale (University of California Santa Barbara), Francesce Bullo (University of California Santa Barbara), Tom Griffiths (Princeton University)

‍

‍

‍

Session W1

Room: ISEC 138

‍

"Workshop on Safe AI-Enabled Systems through Collective Intelligence"
Thomas Kopinski (South Westphalia University of Applied Sciences), Justice Sefas (University of British Columbia), Michael Walters (Gaia Consortium)
‍

‍

Poster slam presentations

Room: Auditorium

‍

Teaching to Learn and Learning to Teach: Using Machine Training to Develop Artificial Intelligence Partners in Organizations"
‍Andrea Lipparini, Maurizio Sobrero and Korinzia Toniolo

‍GigSense: An LLM-Infused Tool for Workers’ Collective Intelligence
‍Kashif Imteyaz, Claudia Flores-Saviaga and Saiph Savage

‍Examining the Effects of Explainable Hints in AI-Driven Training
‍Torrence Farmer and Chien-Ju Ho

‍Automatic Evaluation of Discussion Quality using LLM Data Augmentation
‍Kazuhito Mori, Shiyao Ding, Susumu Ohnuma, Yume Souma and Takayuki Ito

‍An Empirical Study of the El Farol Bar Problem
‍Edgar Andrade-Lotero and Robert Goldstone

‍The Epistemic Potential of Adversarial Cooperation
‍Almos Molnar

‍The Impact of Technological Breakthrough on Subsequent Invention Search: Evidence from a Quasi-Experiment in Deep Learning
‍Wei Yang, Yuchen Zhang and Weiguo Zhong

‍Decoding Collective Decision-Making in a Two-Day SIGCHI-Supported HCI Workshop
‍Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍KnEvol: A Simulation for Examining the Role of Social Bias in Collective Intelligence
‍Laroyce Covington and Joshua Introne

‍Large Language Models (LLMs) for Communication Disorders: Collective Intelligence from Speech Language and Hearing Science
‍Yao Du, Bingshen Yao and Dakuo Wang

‍

‍

‍

Session G: Communication

Room: Auditorium

Chair: Seth Bullock

"The echo chambers of complexity: exploring the impact of design complexity on groupthink and innovation - An experimental study"  
‍Soumyakant Padhee (Lenoir-Rhyne University), Babak Heydari (Northeastern University)

‍"Unraveling Communication mechanisms for aggregation and food exchange among honeybees"
‍Golnar Gharooni Fard (University of Colorado Boulder), Anna Rahn (University of Colorado Boulder), Richard Terrile (University of Colorado Boulder), Elizabeth Bradley (University of Colorado Boulder), Orit Peleg (University of Colorado Boulder)

‍"Multidisciplinary learning through collective performance favors decentralization"  
‍John Meluso (University of Vermont), Laurent Hebert-Dufresne (University of Vermont)

‍"Harnessing partisan motives to solve the misinformation problem"  
‍Cameron Martel (MIT Sloan), Jennifer Allen (MIT Sloan), David Rand (MIT Sloan)

‍

Session H: Human-AI Teams

Room: ISEC 140+142

Chair: Victor Seidel

"The collaborative caring virtual testbed: a software platform for prototyping collective intelligence interventions for asynchronous care-teams"  
Andrew Kuznetsov (Carnegie Mellon University), Ping-Ya Chao (Carnegie Mellon University), Chrisopher Dishop (Carnegie Mellon University), Allen Brown (Carnegie Mellon University), Anita Williams Woolley (Carnegie Mellon University)

"Nuanced effect of human trust in AI on human-ai collaboration performance"  
Danushka Bandara (Fairfield University), Robert Dillon (Fairfield University), Noor Khattak (Fairfield University)

"Learning with AI assistance: a path to better task performance or dependence?"  
Sheer Karny (University of California, Irvine),, Lukas William Mayer (University of California, Irvine), Jackie Ayoub (Honda Research Institute), Miao Song (Honda Research Institute), Haotian Su (Honda Research Institute), Danyang Tian (Honda Research Institute), Ehsan Moradi-Pari (Honda Research Institute), Mark Steyver (University of California, Irvine)

"When are human-ai groups useful?"  
Michelle Vaccaro (MIT), Abdullah Almaatouq (MIT), Thomas Malone (MIT)

‍

Session I: Beliefs 1

Room: ISEC 136

Chair: Torben Andersen

"Using the belief landscape model to predict individual belief dynamics"  
Jianghui Li (Syracuse University), Joshua Introne (Syracuse University)

"Using artificial intelligence to accelerate collective intelligence: policy synth and smarter crowdsourcing"
Robert Bjarnason (Citizens Foundation), Dane Gambrell (The GovLab)

"Multiple AI agents that support crowd discussion"
Takayuki Ito (Kyoto University), Yihan Dong (Kyoto University), Jawad Ahmad Haqbeen (Kyoto University), Tokuro Matsuo (Advanced Institute of Industrial Technology), Sofia Sahab (Kyoto University)

‍

Session D: AI Support and Creativity

Room: Auditorium

Chair: Kwong Chan

‍"Office-Mind AI: A Generative AI Tool for Gig Workers"
Christopher Curtis (Northeastern University), Seth Cooper (Northeastern University), Saiph Savage (Northeastern University)

"Towards collaborative brainstorming among humans and AI agents: an implementation of the IBIS-based brainstorming support system with multiple AI agents"
Moeka Nomura (Kyoto University), Takayuki Ito (Kyoto University), Shiyao Ding (Kyoto University)

‍"Supermind Ideator: How Scaffolding human-ai collaboration can increase creativity"
Jennifer Heyman (MIT), Steven Rick (MIT), Gianni Giacomelli (MIT), Haoran Wen (MIT), Robert Laubacher (MIT), Nancy Taubenslag (MIT), Max Knicker (Ecole Polytechnique), Younes Jeddi (Mohammed VI Polytechnic University), Pranav Ragupathy (MIT), Jared Curhan (MIT), Thomas Malone (MIT)

‍

‍

Session E: Sociality

Room: ISEC 140+142

Chair: Emily Hu

"The robust benefits of social influence for the wisdom of individuals in the crowd"
Charlie Pilgrim (University of Leeds), Joshua Becker (University College London)

"Towards unifying the understanding of social learnings' impact on collective decisions"  
Vicky Yang (MIT), Levi Grenier (MIT)

"Collective Emotional Intelligence? Social Information does not improve Group Judgement Accuracy in Emotion Judgements"  
‍Tom Taiyi (UCL School of Management), Amit Goldenberg (Harvard HBS)

‍

Session F: Mechanisms

Room: ISEC 136

Chair: Steven Sloman

"An AI-powered cross-device system to enhance group cohesion and collective intelligence at workshops" Jude Abishek Rayan (University of California, San Diego), Jinmao Wang (University of California, San Diego), Yifan Gong (University of California, San Diego), Nan Jiang (University of California, San Diego), Steven P. Dow (University of California, San Diego)

"Evaluating prediction mechanisms: a profitability test"
Rajiv Sethi (Barnard College, Columbia University), Julie Seager (Barnard College), Daniel Benjamin (Nova Southeastern University), Fred Morstatter (University of Southern California), Olivia Bobrownicki (Barnard College), Emily Cai (Columbia University), Yuqi Cheng (Barnard College), Anushka Kumar (Barnard College), Anusha Wanganoo (Barnard College)

"Full characterization of adaptively strong majority voting in crowdsourcing"  
‍Margarita Boyarskaya (NYU Stern), Panos Ipeirotis (NYU Stern)

‍"Task allocation in teams as a multi-armed bandit"
Raja Marjieh (Princeton University), Anand Gokhale (University of California Santa Barbara), Francesce Bullo (University of California Santa Barbara), Tom Griffiths (Princeton University)

‍

‍

‍

Session W1

Room: ISEC 138

‍

"Workshop on Safe AI-Enabled Systems through Collective Intelligence"
Thomas Kopinski (South Westphalia University of Applied Sciences), Justice Sefas (University of British Columbia), Michael Walters (Gaia Consortium)
‍

‍

Poster slam presentations

Room: Auditorium

‍

Teaching to Learn and Learning to Teach: Using Machine Training to Develop Artificial Intelligence Partners in Organizations"
‍Andrea Lipparini, Maurizio Sobrero and Korinzia Toniolo

‍GigSense: An LLM-Infused Tool for Workers’ Collective Intelligence
‍Kashif Imteyaz, Claudia Flores-Saviaga and Saiph Savage

‍Examining the Effects of Explainable Hints in AI-Driven Training
‍Torrence Farmer and Chien-Ju Ho

‍Automatic Evaluation of Discussion Quality using LLM Data Augmentation
‍Kazuhito Mori, Shiyao Ding, Susumu Ohnuma, Yume Souma and Takayuki Ito

‍An Empirical Study of the El Farol Bar Problem
‍Edgar Andrade-Lotero and Robert Goldstone

‍The Epistemic Potential of Adversarial Cooperation
‍Almos Molnar

‍The Impact of Technological Breakthrough on Subsequent Invention Search: Evidence from a Quasi-Experiment in Deep Learning
‍Wei Yang, Yuchen Zhang and Weiguo Zhong

‍Decoding Collective Decision-Making in a Two-Day SIGCHI-Supported HCI Workshop
‍Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍KnEvol: A Simulation for Examining the Role of Social Bias in Collective Intelligence
‍Laroyce Covington and Joshua Introne

‍Large Language Models (LLMs) for Communication Disorders: Collective Intelligence from Speech Language and Hearing Science
‍Yao Du, Bingshen Yao and Dakuo Wang

‍

‍

‍

Session G: Communication

Room: Auditorium

Chair: Seth Bullock

"The echo chambers of complexity: exploring the impact of design complexity on groupthink and innovation - An experimental study"  
‍Soumyakant Padhee (Lenoir-Rhyne University), Babak Heydari (Northeastern University)

‍"Unraveling Communication mechanisms for aggregation and food exchange among honeybees"
‍Golnar Gharooni Fard (University of Colorado Boulder), Anna Rahn (University of Colorado Boulder), Richard Terrile (University of Colorado Boulder), Elizabeth Bradley (University of Colorado Boulder), Orit Peleg (University of Colorado Boulder)

‍"Multidisciplinary learning through collective performance favors decentralization"  
‍John Meluso (University of Vermont), Laurent Hebert-Dufresne (University of Vermont)

‍"Harnessing partisan motives to solve the misinformation problem"  
‍Cameron Martel (MIT Sloan), Jennifer Allen (MIT Sloan), David Rand (MIT Sloan)

‍

Session H: Human-AI Teams

Room: ISEC 140+142

Chair: Victor Seidel

"The collaborative caring virtual testbed: a software platform for prototyping collective intelligence interventions for asynchronous care-teams"  
Andrew Kuznetsov (Carnegie Mellon University), Ping-Ya Chao (Carnegie Mellon University), Chrisopher Dishop (Carnegie Mellon University), Allen Brown (Carnegie Mellon University), Anita Williams Woolley (Carnegie Mellon University)

"Nuanced effect of human trust in AI on human-ai collaboration performance"  
Danushka Bandara (Fairfield University), Robert Dillon (Fairfield University), Noor Khattak (Fairfield University)

"Learning with AI assistance: a path to better task performance or dependence?"  
Sheer Karny (University of California, Irvine),, Lukas William Mayer (University of California, Irvine), Jackie Ayoub (Honda Research Institute), Miao Song (Honda Research Institute), Haotian Su (Honda Research Institute), Danyang Tian (Honda Research Institute), Ehsan Moradi-Pari (Honda Research Institute), Mark Steyver (University of California, Irvine)

"When are human-ai groups useful?"  
Michelle Vaccaro (MIT), Abdullah Almaatouq (MIT), Thomas Malone (MIT)

‍

Session I: Beliefs 1

Room: ISEC 136

Chair: Torben Andersen

"Using the belief landscape model to predict individual belief dynamics"  
Jianghui Li (Syracuse University), Joshua Introne (Syracuse University)

"Using artificial intelligence to accelerate collective intelligence: policy synth and smarter crowdsourcing"
Robert Bjarnason (Citizens Foundation), Dane Gambrell (The GovLab)

"Multiple AI agents that support crowd discussion"
Takayuki Ito (Kyoto University), Yihan Dong (Kyoto University), Jawad Ahmad Haqbeen (Kyoto University), Tokuro Matsuo (Advanced Institute of Industrial Technology), Sofia Sahab (Kyoto University)

‍

Session A: Wisdom of crowds

Room: Auditorium

Chair: Joshua Introne

"Evaluating News Domain Quality through a Wisdom of Expert Crowds Approach"  
‍Hause Lin (MIT), Jana Lasser (Graz University of Technology), Stephan Lewandowsky (University of Bristol), Rocky Cole (MIT), Andrew Gully (Google Jigsaw), David Rand (MIT), Gordon Pennycook (Cornell University)

‍"Estimates are not decisions: how wise crowds can make unwise choices"  
‍Jingze Wang (UCL School of Management), Joshua Becker (UCL School of Management)

‍"Leveraging advice-taking and kernel density estimation to identify a cluster of experts and improve wisdom of crowds"  
‍Yunhao Zhang (University of California, Berkeley)

‍"Averaging, Communication, and Wisdom of crowds"
‍Ulrike Hahn (Birkbeck College, University of London and Munich Center for Mathematical Philosophy (LMU)), Leon Assaad (Munich Center for Mathematical Philosophy (LMU)), Jason Burton (Copenhagen Business School)

‍

Session B: Large Language Models

Room: ISEC 140+142

Chair: Abraham Bernstein

‍"Does reading the literature improve the ability to predict the effects of interventions?"  
‍Robin Na (MIT), Abdullah Almaatouq (MIT)

‍"AI-in-the-loop expert labelling for LLM's real-world domain adaptation"  
‍Bingsheng Yao (Northeastern University), Dakuo Wang (Northeastern University)

‍"Automated social science: a structural causal model-based approach"  
‍Kehang Zhu (Harvard), Benjamin Manning (MIT), John Horton (MIT)

‍"Tripartite intelligence: synergizing deep neural network, large language model, and human intelligence for public health misinformation detection"  
‍Yang Zhang (University of Illinois at Urbana-Champaign), Rouhan Zong (University of Illinois at Urbana-Champaign), Lanyu Shang (University of Illinois at Urbana-Champaign), Zhenrui Yue (University of Illinois at Urbana-Champaign), Huimin Zeng (University of Illinois at Urbana-Champaign), Yifan Liu (University of Illinois at Urbana-Champaign), Dong Wang (University of Illinois at Urbana-Champaign)

‍

Session C: Open Source

Room: ISEC 136

Chair: Vicky Yang

"Emergent Structures and roles of and open science community during crisis: the case of OpenCovid19"
‍Camille Masselot (Universite Paris Cite, Inserm), Olga Kokshagina (Edhec Business School), Marc Santolini (Universite Paris Cite, Inserm)‍

"How can open source technology ecosystems create value? Evidence from investors' reactions to firms' github code releases"  
‍Wei Yang (China Europe International Business School)

‍"Generative AI and distributed work: evidence from open source software"  
‍Manuel Hoffman (Harvard Business School), Sam Boysel (Harvard Business School), Frank Nagle (Harvard Business School), Sida Peng (Microsoft Corporation), Kevin Xu (Github Inc.)

‍"Collective adaptation of human behavior during global crises: a COVID-19 case study"  
‍Tamanna Urmi (Northeastern University), Chris Riedl (Northeastern University), David Lazer (Northeastern University), Mauricio Santillana (Northeastern University)

‍

Session W1

Room: ISEC 138

‍

"Enhancing Hypermind Operations: Leveraging Collective Intelligence and Exploring AI Integration - A Panel Discussion"
Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍

Session D: AI Support and Creativity

Room: Auditorium

Chair: Kwong Chan

‍"Office-Mind AI: A Generative AI Tool for Gig Workers"
Christopher Curtis (Northeastern University), Seth Cooper (Northeastern University), Saiph Savage (Northeastern University)

"Towards collaborative brainstorming among humans and AI agents: an implementation of the IBIS-based brainstorming support system with multiple AI agents"
Moeka Nomura (Kyoto University), Takayuki Ito (Kyoto University), Shiyao Ding (Kyoto University)

‍"Supermind Ideator: How Scaffolding human-ai collaboration can increase creativity"
Jennifer Heyman (MIT), Steven Rick (MIT), Gianni Giacomelli (MIT), Haoran Wen (MIT), Robert Laubacher (MIT), Nancy Taubenslag (MIT), Max Knicker (Ecole Polytechnique), Younes Jeddi (Mohammed VI Polytechnic University), Pranav Ragupathy (MIT), Jared Curhan (MIT), Thomas Malone (MIT)

‍

‍

Session E: Sociality

Room: ISEC 140+142

Chair: Emily Hu

"The robust benefits of social influence for the wisdom of individuals in the crowd"
Charlie Pilgrim (University of Leeds), Joshua Becker (University College London)

"Towards unifying the understanding of social learnings' impact on collective decisions"  
Vicky Yang (MIT), Levi Grenier (MIT)

"Collective Emotional Intelligence? Social Information does not improve Group Judgement Accuracy in Emotion Judgements"  
‍Tom Taiyi (UCL School of Management), Amit Goldenberg (Harvard HBS)

‍

Session F: Mechanisms

Room: ISEC 136

Chair: Steven Sloman

"An AI-powered cross-device system to enhance group cohesion and collective intelligence at workshops" Jude Abishek Rayan (University of California, San Diego), Jinmao Wang (University of California, San Diego), Yifan Gong (University of California, San Diego), Nan Jiang (University of California, San Diego), Steven P. Dow (University of California, San Diego)

"Evaluating prediction mechanisms: a profitability test"
Rajiv Sethi (Barnard College, Columbia University), Julie Seager (Barnard College), Daniel Benjamin (Nova Southeastern University), Fred Morstatter (University of Southern California), Olivia Bobrownicki (Barnard College), Emily Cai (Columbia University), Yuqi Cheng (Barnard College), Anushka Kumar (Barnard College), Anusha Wanganoo (Barnard College)

"Full characterization of adaptively strong majority voting in crowdsourcing"  
‍Margarita Boyarskaya (NYU Stern), Panos Ipeirotis (NYU Stern)

‍"Task allocation in teams as a multi-armed bandit"
Raja Marjieh (Princeton University), Anand Gokhale (University of California Santa Barbara), Francesce Bullo (University of California Santa Barbara), Tom Griffiths (Princeton University)

‍

‍

‍

Session W1

Room: ISEC 138

‍

"Workshop on Safe AI-Enabled Systems through Collective Intelligence"
Thomas Kopinski (South Westphalia University of Applied Sciences), Justice Sefas (University of British Columbia), Michael Walters (Gaia Consortium)
‍

‍

Poster slam presentations

Room: Auditorium

‍

Teaching to Learn and Learning to Teach: Using Machine Training to Develop Artificial Intelligence Partners in Organizations"
‍Andrea Lipparini, Maurizio Sobrero and Korinzia Toniolo

‍GigSense: An LLM-Infused Tool for Workers’ Collective Intelligence
‍Kashif Imteyaz, Claudia Flores-Saviaga and Saiph Savage

‍Examining the Effects of Explainable Hints in AI-Driven Training
‍Torrence Farmer and Chien-Ju Ho

‍Automatic Evaluation of Discussion Quality using LLM Data Augmentation
‍Kazuhito Mori, Shiyao Ding, Susumu Ohnuma, Yume Souma and Takayuki Ito

‍An Empirical Study of the El Farol Bar Problem
‍Edgar Andrade-Lotero and Robert Goldstone

‍The Epistemic Potential of Adversarial Cooperation
‍Almos Molnar

‍The Impact of Technological Breakthrough on Subsequent Invention Search: Evidence from a Quasi-Experiment in Deep Learning
‍Wei Yang, Yuchen Zhang and Weiguo Zhong

‍Decoding Collective Decision-Making in a Two-Day SIGCHI-Supported HCI Workshop
‍Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍KnEvol: A Simulation for Examining the Role of Social Bias in Collective Intelligence
‍Laroyce Covington and Joshua Introne

‍Large Language Models (LLMs) for Communication Disorders: Collective Intelligence from Speech Language and Hearing Science
‍Yao Du, Bingshen Yao and Dakuo Wang

‍

‍

‍

Session G: Communication

Room: Auditorium

Chair: Seth Bullock

"The echo chambers of complexity: exploring the impact of design complexity on groupthink and innovation - An experimental study"  
‍Soumyakant Padhee (Lenoir-Rhyne University), Babak Heydari (Northeastern University)

‍"Unraveling Communication mechanisms for aggregation and food exchange among honeybees"
‍Golnar Gharooni Fard (University of Colorado Boulder), Anna Rahn (University of Colorado Boulder), Richard Terrile (University of Colorado Boulder), Elizabeth Bradley (University of Colorado Boulder), Orit Peleg (University of Colorado Boulder)

‍"Multidisciplinary learning through collective performance favors decentralization"  
‍John Meluso (University of Vermont), Laurent Hebert-Dufresne (University of Vermont)

‍"Harnessing partisan motives to solve the misinformation problem"  
‍Cameron Martel (MIT Sloan), Jennifer Allen (MIT Sloan), David Rand (MIT Sloan)

‍

Session H: Human-AI Teams

Room: ISEC 140+142

Chair: Victor Seidel

"The collaborative caring virtual testbed: a software platform for prototyping collective intelligence interventions for asynchronous care-teams"  
Andrew Kuznetsov (Carnegie Mellon University), Ping-Ya Chao (Carnegie Mellon University), Chrisopher Dishop (Carnegie Mellon University), Allen Brown (Carnegie Mellon University), Anita Williams Woolley (Carnegie Mellon University)

"Nuanced effect of human trust in AI on human-ai collaboration performance"  
Danushka Bandara (Fairfield University), Robert Dillon (Fairfield University), Noor Khattak (Fairfield University)

"Learning with AI assistance: a path to better task performance or dependence?"  
Sheer Karny (University of California, Irvine),, Lukas William Mayer (University of California, Irvine), Jackie Ayoub (Honda Research Institute), Miao Song (Honda Research Institute), Haotian Su (Honda Research Institute), Danyang Tian (Honda Research Institute), Ehsan Moradi-Pari (Honda Research Institute), Mark Steyver (University of California, Irvine)

"When are human-ai groups useful?"  
Michelle Vaccaro (MIT), Abdullah Almaatouq (MIT), Thomas Malone (MIT)

‍

Session I: Beliefs 1

Room: ISEC 136

Chair: Torben Andersen

"Using the belief landscape model to predict individual belief dynamics"  
Jianghui Li (Syracuse University), Joshua Introne (Syracuse University)

"Using artificial intelligence to accelerate collective intelligence: policy synth and smarter crowdsourcing"
Robert Bjarnason (Citizens Foundation), Dane Gambrell (The GovLab)

"Multiple AI agents that support crowd discussion"
Takayuki Ito (Kyoto University), Yihan Dong (Kyoto University), Jawad Ahmad Haqbeen (Kyoto University), Tokuro Matsuo (Advanced Institute of Industrial Technology), Sofia Sahab (Kyoto University)

‍

Session A: Wisdom of crowds

Room: Auditorium

Chair: Joshua Introne

"Evaluating News Domain Quality through a Wisdom of Expert Crowds Approach"  
‍Hause Lin (MIT), Jana Lasser (Graz University of Technology), Stephan Lewandowsky (University of Bristol), Rocky Cole (MIT), Andrew Gully (Google Jigsaw), David Rand (MIT), Gordon Pennycook (Cornell University)

‍"Estimates are not decisions: how wise crowds can make unwise choices"  
‍Jingze Wang (UCL School of Management), Joshua Becker (UCL School of Management)

‍"Leveraging advice-taking and kernel density estimation to identify a cluster of experts and improve wisdom of crowds"  
‍Yunhao Zhang (University of California, Berkeley)

‍"Averaging, Communication, and Wisdom of crowds"
‍Ulrike Hahn (Birkbeck College, University of London and Munich Center for Mathematical Philosophy (LMU)), Leon Assaad (Munich Center for Mathematical Philosophy (LMU)), Jason Burton (Copenhagen Business School)

‍

Session B: Large Language Models

Room: ISEC 140+142

Chair: Abraham Bernstein

‍"Does reading the literature improve the ability to predict the effects of interventions?"  
‍Robin Na (MIT), Abdullah Almaatouq (MIT)

‍"AI-in-the-loop expert labelling for LLM's real-world domain adaptation"  
‍Bingsheng Yao (Northeastern University), Dakuo Wang (Northeastern University)

‍"Automated social science: a structural causal model-based approach"  
‍Kehang Zhu (Harvard), Benjamin Manning (MIT), John Horton (MIT)

‍"Tripartite intelligence: synergizing deep neural network, large language model, and human intelligence for public health misinformation detection"  
‍Yang Zhang (University of Illinois at Urbana-Champaign), Rouhan Zong (University of Illinois at Urbana-Champaign), Lanyu Shang (University of Illinois at Urbana-Champaign), Zhenrui Yue (University of Illinois at Urbana-Champaign), Huimin Zeng (University of Illinois at Urbana-Champaign), Yifan Liu (University of Illinois at Urbana-Champaign), Dong Wang (University of Illinois at Urbana-Champaign)

‍

Session C: Open Source

Room: ISEC 136

Chair: Vicky Yang

"Emergent Structures and roles of and open science community during crisis: the case of OpenCovid19"
‍Camille Masselot (Universite Paris Cite, Inserm), Olga Kokshagina (Edhec Business School), Marc Santolini (Universite Paris Cite, Inserm)‍

"How can open source technology ecosystems create value? Evidence from investors' reactions to firms' github code releases"  
‍Wei Yang (China Europe International Business School)

‍"Generative AI and distributed work: evidence from open source software"  
‍Manuel Hoffman (Harvard Business School), Sam Boysel (Harvard Business School), Frank Nagle (Harvard Business School), Sida Peng (Microsoft Corporation), Kevin Xu (Github Inc.)

‍"Collective adaptation of human behavior during global crises: a COVID-19 case study"  
‍Tamanna Urmi (Northeastern University), Chris Riedl (Northeastern University), David Lazer (Northeastern University), Mauricio Santillana (Northeastern University)

‍

Session W1

Room: ISEC 138

‍

"Enhancing Hypermind Operations: Leveraging Collective Intelligence and Exploring AI Integration - A Panel Discussion"
Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍

Session D: AI Support and Creativity

Room: Auditorium

Chair: Kwong Chan

‍"Office-Mind AI: A Generative AI Tool for Gig Workers"
Christopher Curtis (Northeastern University), Seth Cooper (Northeastern University), Saiph Savage (Northeastern University)

"Towards collaborative brainstorming among humans and AI agents: an implementation of the IBIS-based brainstorming support system with multiple AI agents"
Moeka Nomura (Kyoto University), Takayuki Ito (Kyoto University), Shiyao Ding (Kyoto University)

‍"Supermind Ideator: How Scaffolding human-ai collaboration can increase creativity"
Jennifer Heyman (MIT), Steven Rick (MIT), Gianni Giacomelli (MIT), Haoran Wen (MIT), Robert Laubacher (MIT), Nancy Taubenslag (MIT), Max Knicker (Ecole Polytechnique), Younes Jeddi (Mohammed VI Polytechnic University), Pranav Ragupathy (MIT), Jared Curhan (MIT), Thomas Malone (MIT)

‍

‍

Session E: Sociality

Room: ISEC 140+142

Chair: Emily Hu

"The robust benefits of social influence for the wisdom of individuals in the crowd"
Charlie Pilgrim (University of Leeds), Joshua Becker (University College London)

"Towards unifying the understanding of social learnings' impact on collective decisions"  
Vicky Yang (MIT), Levi Grenier (MIT)

"Collective Emotional Intelligence? Social Information does not improve Group Judgement Accuracy in Emotion Judgements"  
‍Tom Taiyi (UCL School of Management), Amit Goldenberg (Harvard HBS)

‍

Session F: Mechanisms

Room: ISEC 136

Chair: Steven Sloman

"An AI-powered cross-device system to enhance group cohesion and collective intelligence at workshops" Jude Abishek Rayan (University of California, San Diego), Jinmao Wang (University of California, San Diego), Yifan Gong (University of California, San Diego), Nan Jiang (University of California, San Diego), Steven P. Dow (University of California, San Diego)

"Evaluating prediction mechanisms: a profitability test"
Rajiv Sethi (Barnard College, Columbia University), Julie Seager (Barnard College), Daniel Benjamin (Nova Southeastern University), Fred Morstatter (University of Southern California), Olivia Bobrownicki (Barnard College), Emily Cai (Columbia University), Yuqi Cheng (Barnard College), Anushka Kumar (Barnard College), Anusha Wanganoo (Barnard College)

"Full characterization of adaptively strong majority voting in crowdsourcing"  
‍Margarita Boyarskaya (NYU Stern), Panos Ipeirotis (NYU Stern)

‍"Task allocation in teams as a multi-armed bandit"
Raja Marjieh (Princeton University), Anand Gokhale (University of California Santa Barbara), Francesce Bullo (University of California Santa Barbara), Tom Griffiths (Princeton University)

‍

‍

‍

Session W1

Room: ISEC 138

‍

"Workshop on Safe AI-Enabled Systems through Collective Intelligence"
Thomas Kopinski (South Westphalia University of Applied Sciences), Justice Sefas (University of British Columbia), Michael Walters (Gaia Consortium)
‍

‍

Session G: Communication

Room: Auditorium

Chair: Seth Bullock

"The echo chambers of complexity: exploring the impact of design complexity on groupthink and innovation - An experimental study"  
‍Soumyakant Padhee (Lenoir-Rhyne University), Babak Heydari (Northeastern University)

‍"Unraveling Communication mechanisms for aggregation and food exchange among honeybees"
‍Golnar Gharooni Fard (University of Colorado Boulder), Anna Rahn (University of Colorado Boulder), Richard Terrile (University of Colorado Boulder), Elizabeth Bradley (University of Colorado Boulder), Orit Peleg (University of Colorado Boulder)

‍"Multidisciplinary learning through collective performance favors decentralization"  
‍John Meluso (University of Vermont), Laurent Hebert-Dufresne (University of Vermont)

‍"Harnessing partisan motives to solve the misinformation problem"  
‍Cameron Martel (MIT Sloan), Jennifer Allen (MIT Sloan), David Rand (MIT Sloan)

‍

Session H: Human-AI Teams

Room: ISEC 140+142

Chair: Victor Seidel

"The collaborative caring virtual testbed: a software platform for prototyping collective intelligence interventions for asynchronous care-teams"  
Andrew Kuznetsov (Carnegie Mellon University), Ping-Ya Chao (Carnegie Mellon University), Chrisopher Dishop (Carnegie Mellon University), Allen Brown (Carnegie Mellon University), Anita Williams Woolley (Carnegie Mellon University)

"Nuanced effect of human trust in AI on human-ai collaboration performance"  
Danushka Bandara (Fairfield University), Robert Dillon (Fairfield University), Noor Khattak (Fairfield University)

"Learning with AI assistance: a path to better task performance or dependence?"  
Sheer Karny (University of California, Irvine),, Lukas William Mayer (University of California, Irvine), Jackie Ayoub (Honda Research Institute), Miao Song (Honda Research Institute), Haotian Su (Honda Research Institute), Danyang Tian (Honda Research Institute), Ehsan Moradi-Pari (Honda Research Institute), Mark Steyver (University of California, Irvine)

"When are human-ai groups useful?"  
Michelle Vaccaro (MIT), Abdullah Almaatouq (MIT), Thomas Malone (MIT)

‍

Session I: Beliefs 1

Room: ISEC 136

Chair: Torben Andersen

"Using the belief landscape model to predict individual belief dynamics"  
Jianghui Li (Syracuse University), Joshua Introne (Syracuse University)

"Using artificial intelligence to accelerate collective intelligence: policy synth and smarter crowdsourcing"
Robert Bjarnason (Citizens Foundation), Dane Gambrell (The GovLab)

"Multiple AI agents that support crowd discussion"
Takayuki Ito (Kyoto University), Yihan Dong (Kyoto University), Jawad Ahmad Haqbeen (Kyoto University), Tokuro Matsuo (Advanced Institute of Industrial Technology), Sofia Sahab (Kyoto University)

‍

Session A: Wisdom of crowds

Room: Auditorium

Chair: Joshua Introne

"Evaluating News Domain Quality through a Wisdom of Expert Crowds Approach"  
‍Hause Lin (MIT), Jana Lasser (Graz University of Technology), Stephan Lewandowsky (University of Bristol), Rocky Cole (MIT), Andrew Gully (Google Jigsaw), David Rand (MIT), Gordon Pennycook (Cornell University)

‍"Estimates are not decisions: how wise crowds can make unwise choices"  
‍Jingze Wang (UCL School of Management), Joshua Becker (UCL School of Management)

‍"Leveraging advice-taking and kernel density estimation to identify a cluster of experts and improve wisdom of crowds"  
‍Yunhao Zhang (University of California, Berkeley)

‍"Averaging, Communication, and Wisdom of crowds"
‍Ulrike Hahn (Birkbeck College, University of London and Munich Center for Mathematical Philosophy (LMU)), Leon Assaad (Munich Center for Mathematical Philosophy (LMU)), Jason Burton (Copenhagen Business School)

‍

Session B: Large Language Models

Room: ISEC 140+142

Chair: Abraham Bernstein

‍"Does reading the literature improve the ability to predict the effects of interventions?"  
‍Robin Na (MIT), Abdullah Almaatouq (MIT)

‍"AI-in-the-loop expert labelling for LLM's real-world domain adaptation"  
‍Bingsheng Yao (Northeastern University), Dakuo Wang (Northeastern University)

‍"Automated social science: a structural causal model-based approach"  
‍Kehang Zhu (Harvard), Benjamin Manning (MIT), John Horton (MIT)

‍"Tripartite intelligence: synergizing deep neural network, large language model, and human intelligence for public health misinformation detection"  
‍Yang Zhang (University of Illinois at Urbana-Champaign), Rouhan Zong (University of Illinois at Urbana-Champaign), Lanyu Shang (University of Illinois at Urbana-Champaign), Zhenrui Yue (University of Illinois at Urbana-Champaign), Huimin Zeng (University of Illinois at Urbana-Champaign), Yifan Liu (University of Illinois at Urbana-Champaign), Dong Wang (University of Illinois at Urbana-Champaign)

‍

Session C: Open Source

Room: ISEC 136

Chair: Vicky Yang

"Emergent Structures and roles of and open science community during crisis: the case of OpenCovid19"
‍Camille Masselot (Universite Paris Cite, Inserm), Olga Kokshagina (Edhec Business School), Marc Santolini (Universite Paris Cite, Inserm)‍

"How can open source technology ecosystems create value? Evidence from investors' reactions to firms' github code releases"  
‍Wei Yang (China Europe International Business School)

‍"Generative AI and distributed work: evidence from open source software"  
‍Manuel Hoffman (Harvard Business School), Sam Boysel (Harvard Business School), Frank Nagle (Harvard Business School), Sida Peng (Microsoft Corporation), Kevin Xu (Github Inc.)

‍"Collective adaptation of human behavior during global crises: a COVID-19 case study"  
‍Tamanna Urmi (Northeastern University), Chris Riedl (Northeastern University), David Lazer (Northeastern University), Mauricio Santillana (Northeastern University)

‍

Session W1

Room: ISEC 138

‍

"Enhancing Hypermind Operations: Leveraging Collective Intelligence and Exploring AI Integration - A Panel Discussion"
Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍

Session D: AI Support and Creativity

Room: Auditorium

Chair: Kwong Chan

‍"Office-Mind AI: A Generative AI Tool for Gig Workers"
Christopher Curtis (Northeastern University), Seth Cooper (Northeastern University), Saiph Savage (Northeastern University)

"Towards collaborative brainstorming among humans and AI agents: an implementation of the IBIS-based brainstorming support system with multiple AI agents"
Moeka Nomura (Kyoto University), Takayuki Ito (Kyoto University), Shiyao Ding (Kyoto University)

‍"Supermind Ideator: How Scaffolding human-ai collaboration can increase creativity"
Jennifer Heyman (MIT), Steven Rick (MIT), Gianni Giacomelli (MIT), Haoran Wen (MIT), Robert Laubacher (MIT), Nancy Taubenslag (MIT), Max Knicker (Ecole Polytechnique), Younes Jeddi (Mohammed VI Polytechnic University), Pranav Ragupathy (MIT), Jared Curhan (MIT), Thomas Malone (MIT)

‍

‍

Session E: Sociality

Room: ISEC 140+142

Chair: Emily Hu

"The robust benefits of social influence for the wisdom of individuals in the crowd"
Charlie Pilgrim (University of Leeds), Joshua Becker (University College London)

"Towards unifying the understanding of social learnings' impact on collective decisions"  
Vicky Yang (MIT), Levi Grenier (MIT)

"Collective Emotional Intelligence? Social Information does not improve Group Judgement Accuracy in Emotion Judgements"  
‍Tom Taiyi (UCL School of Management), Amit Goldenberg (Harvard HBS)

‍

Session F: Mechanisms

Room: ISEC 136

Chair: Steven Sloman

"An AI-powered cross-device system to enhance group cohesion and collective intelligence at workshops" Jude Abishek Rayan (University of California, San Diego), Jinmao Wang (University of California, San Diego), Yifan Gong (University of California, San Diego), Nan Jiang (University of California, San Diego), Steven P. Dow (University of California, San Diego)

"Evaluating prediction mechanisms: a profitability test"
Rajiv Sethi (Barnard College, Columbia University), Julie Seager (Barnard College), Daniel Benjamin (Nova Southeastern University), Fred Morstatter (University of Southern California), Olivia Bobrownicki (Barnard College), Emily Cai (Columbia University), Yuqi Cheng (Barnard College), Anushka Kumar (Barnard College), Anusha Wanganoo (Barnard College)

"Full characterization of adaptively strong majority voting in crowdsourcing"  
‍Margarita Boyarskaya (NYU Stern), Panos Ipeirotis (NYU Stern)

‍"Task allocation in teams as a multi-armed bandit"
Raja Marjieh (Princeton University), Anand Gokhale (University of California Santa Barbara), Francesce Bullo (University of California Santa Barbara), Tom Griffiths (Princeton University)

‍

‍

‍

Session W1

Room: ISEC 138

‍

"Workshop on Safe AI-Enabled Systems through Collective Intelligence"
Thomas Kopinski (South Westphalia University of Applied Sciences), Justice Sefas (University of British Columbia), Michael Walters (Gaia Consortium)
‍

‍

Poster slam presentations

Room: Auditorium

‍

Teaching to Learn and Learning to Teach: Using Machine Training to Develop Artificial Intelligence Partners in Organizations"
‍Andrea Lipparini, Maurizio Sobrero and Korinzia Toniolo

‍GigSense: An LLM-Infused Tool for Workers’ Collective Intelligence
‍Kashif Imteyaz, Claudia Flores-Saviaga and Saiph Savage

‍Examining the Effects of Explainable Hints in AI-Driven Training
‍Torrence Farmer and Chien-Ju Ho

‍Automatic Evaluation of Discussion Quality using LLM Data Augmentation
‍Kazuhito Mori, Shiyao Ding, Susumu Ohnuma, Yume Souma and Takayuki Ito

‍An Empirical Study of the El Farol Bar Problem
‍Edgar Andrade-Lotero and Robert Goldstone

‍The Epistemic Potential of Adversarial Cooperation
‍Almos Molnar

‍The Impact of Technological Breakthrough on Subsequent Invention Search: Evidence from a Quasi-Experiment in Deep Learning
‍Wei Yang, Yuchen Zhang and Weiguo Zhong

‍Decoding Collective Decision-Making in a Two-Day SIGCHI-Supported HCI Workshop
‍Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍KnEvol: A Simulation for Examining the Role of Social Bias in Collective Intelligence
‍Laroyce Covington and Joshua Introne

‍Large Language Models (LLMs) for Communication Disorders: Collective Intelligence from Speech Language and Hearing Science
‍Yao Du, Bingshen Yao and Dakuo Wang

‍

‍

‍

Session G: Communication

Room: Auditorium

Chair: Seth Bullock

"The echo chambers of complexity: exploring the impact of design complexity on groupthink and innovation - An experimental study"  
‍Soumyakant Padhee (Lenoir-Rhyne University), Babak Heydari (Northeastern University)

‍"Unraveling Communication mechanisms for aggregation and food exchange among honeybees"
‍Golnar Gharooni Fard (University of Colorado Boulder), Anna Rahn (University of Colorado Boulder), Richard Terrile (University of Colorado Boulder), Elizabeth Bradley (University of Colorado Boulder), Orit Peleg (University of Colorado Boulder)

‍"Multidisciplinary learning through collective performance favors decentralization"  
‍John Meluso (University of Vermont), Laurent Hebert-Dufresne (University of Vermont)

‍"Harnessing partisan motives to solve the misinformation problem"  
‍Cameron Martel (MIT Sloan), Jennifer Allen (MIT Sloan), David Rand (MIT Sloan)

‍

Session H: Human-AI Teams

Room: ISEC 140+142

Chair: Victor Seidel

"The collaborative caring virtual testbed: a software platform for prototyping collective intelligence interventions for asynchronous care-teams"  
Andrew Kuznetsov (Carnegie Mellon University), Ping-Ya Chao (Carnegie Mellon University), Chrisopher Dishop (Carnegie Mellon University), Allen Brown (Carnegie Mellon University), Anita Williams Woolley (Carnegie Mellon University)

"Nuanced effect of human trust in AI on human-ai collaboration performance"  
Danushka Bandara (Fairfield University), Robert Dillon (Fairfield University), Noor Khattak (Fairfield University)

"Learning with AI assistance: a path to better task performance or dependence?"  
Sheer Karny (University of California, Irvine),, Lukas William Mayer (University of California, Irvine), Jackie Ayoub (Honda Research Institute), Miao Song (Honda Research Institute), Haotian Su (Honda Research Institute), Danyang Tian (Honda Research Institute), Ehsan Moradi-Pari (Honda Research Institute), Mark Steyver (University of California, Irvine)

"When are human-ai groups useful?"  
Michelle Vaccaro (MIT), Abdullah Almaatouq (MIT), Thomas Malone (MIT)

‍

Session I: Beliefs 1

Room: ISEC 136

Chair: Torben Andersen

"Using the belief landscape model to predict individual belief dynamics"  
Jianghui Li (Syracuse University), Joshua Introne (Syracuse University)

"Using artificial intelligence to accelerate collective intelligence: policy synth and smarter crowdsourcing"
Robert Bjarnason (Citizens Foundation), Dane Gambrell (The GovLab)

"Multiple AI agents that support crowd discussion"
Takayuki Ito (Kyoto University), Yihan Dong (Kyoto University), Jawad Ahmad Haqbeen (Kyoto University), Tokuro Matsuo (Advanced Institute of Industrial Technology), Sofia Sahab (Kyoto University)

‍

Session A: Wisdom of crowds

Room: Auditorium

Chair: Joshua Introne

"Evaluating News Domain Quality through a Wisdom of Expert Crowds Approach"  
‍Hause Lin (MIT), Jana Lasser (Graz University of Technology), Stephan Lewandowsky (University of Bristol), Rocky Cole (MIT), Andrew Gully (Google Jigsaw), David Rand (MIT), Gordon Pennycook (Cornell University)

‍"Estimates are not decisions: how wise crowds can make unwise choices"  
‍Jingze Wang (UCL School of Management), Joshua Becker (UCL School of Management)

‍"Leveraging advice-taking and kernel density estimation to identify a cluster of experts and improve wisdom of crowds"  
‍Yunhao Zhang (University of California, Berkeley)

‍"Averaging, Communication, and Wisdom of crowds"
‍Ulrike Hahn (Birkbeck College, University of London and Munich Center for Mathematical Philosophy (LMU)), Leon Assaad (Munich Center for Mathematical Philosophy (LMU)), Jason Burton (Copenhagen Business School)

‍

Session B: Large Language Models

Room: ISEC 140+142

Chair: Abraham Bernstein

‍"Does reading the literature improve the ability to predict the effects of interventions?"  
‍Robin Na (MIT), Abdullah Almaatouq (MIT)

‍"AI-in-the-loop expert labelling for LLM's real-world domain adaptation"  
‍Bingsheng Yao (Northeastern University), Dakuo Wang (Northeastern University)

‍"Automated social science: a structural causal model-based approach"  
‍Kehang Zhu (Harvard), Benjamin Manning (MIT), John Horton (MIT)

‍"Tripartite intelligence: synergizing deep neural network, large language model, and human intelligence for public health misinformation detection"  
‍Yang Zhang (University of Illinois at Urbana-Champaign), Rouhan Zong (University of Illinois at Urbana-Champaign), Lanyu Shang (University of Illinois at Urbana-Champaign), Zhenrui Yue (University of Illinois at Urbana-Champaign), Huimin Zeng (University of Illinois at Urbana-Champaign), Yifan Liu (University of Illinois at Urbana-Champaign), Dong Wang (University of Illinois at Urbana-Champaign)

‍

Session C: Open Source

Room: ISEC 136

Chair: Vicky Yang

"Emergent Structures and roles of and open science community during crisis: the case of OpenCovid19"
‍Camille Masselot (Universite Paris Cite, Inserm), Olga Kokshagina (Edhec Business School), Marc Santolini (Universite Paris Cite, Inserm)‍

"How can open source technology ecosystems create value? Evidence from investors' reactions to firms' github code releases"  
‍Wei Yang (China Europe International Business School)

‍"Generative AI and distributed work: evidence from open source software"  
‍Manuel Hoffman (Harvard Business School), Sam Boysel (Harvard Business School), Frank Nagle (Harvard Business School), Sida Peng (Microsoft Corporation), Kevin Xu (Github Inc.)

‍"Collective adaptation of human behavior during global crises: a COVID-19 case study"  
‍Tamanna Urmi (Northeastern University), Chris Riedl (Northeastern University), David Lazer (Northeastern University), Mauricio Santillana (Northeastern University)

‍

Session W1

Room: ISEC 138

‍

"Enhancing Hypermind Operations: Leveraging Collective Intelligence and Exploring AI Integration - A Panel Discussion"
Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍

Poster slam presentations

Room: Auditorium

‍

Teaching to Learn and Learning to Teach: Using Machine Training to Develop Artificial Intelligence Partners in Organizations"
‍Andrea Lipparini, Maurizio Sobrero and Korinzia Toniolo

‍GigSense: An LLM-Infused Tool for Workers’ Collective Intelligence
‍Kashif Imteyaz, Claudia Flores-Saviaga and Saiph Savage

‍Examining the Effects of Explainable Hints in AI-Driven Training
‍Torrence Farmer and Chien-Ju Ho

‍Automatic Evaluation of Discussion Quality using LLM Data Augmentation
‍Kazuhito Mori, Shiyao Ding, Susumu Ohnuma, Yume Souma and Takayuki Ito

‍An Empirical Study of the El Farol Bar Problem
‍Edgar Andrade-Lotero and Robert Goldstone

‍The Epistemic Potential of Adversarial Cooperation
‍Almos Molnar

‍The Impact of Technological Breakthrough on Subsequent Invention Search: Evidence from a Quasi-Experiment in Deep Learning
‍Wei Yang, Yuchen Zhang and Weiguo Zhong

‍Decoding Collective Decision-Making in a Two-Day SIGCHI-Supported HCI Workshop
‍Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍KnEvol: A Simulation for Examining the Role of Social Bias in Collective Intelligence
‍Laroyce Covington and Joshua Introne

‍Large Language Models (LLMs) for Communication Disorders: Collective Intelligence from Speech Language and Hearing Science
‍Yao Du, Bingshen Yao and Dakuo Wang

‍

‍

‍

Session G: Communication

Room: Auditorium

Chair: Seth Bullock

"The echo chambers of complexity: exploring the impact of design complexity on groupthink and innovation - An experimental study"  
‍Soumyakant Padhee (Lenoir-Rhyne University), Babak Heydari (Northeastern University)

‍"Unraveling Communication mechanisms for aggregation and food exchange among honeybees"
‍Golnar Gharooni Fard (University of Colorado Boulder), Anna Rahn (University of Colorado Boulder), Richard Terrile (University of Colorado Boulder), Elizabeth Bradley (University of Colorado Boulder), Orit Peleg (University of Colorado Boulder)

‍"Multidisciplinary learning through collective performance favors decentralization"  
‍John Meluso (University of Vermont), Laurent Hebert-Dufresne (University of Vermont)

‍"Harnessing partisan motives to solve the misinformation problem"  
‍Cameron Martel (MIT Sloan), Jennifer Allen (MIT Sloan), David Rand (MIT Sloan)

‍

Session H: Human-AI Teams

Room: ISEC 140+142

Chair: Victor Seidel

"The collaborative caring virtual testbed: a software platform for prototyping collective intelligence interventions for asynchronous care-teams"  
Andrew Kuznetsov (Carnegie Mellon University), Ping-Ya Chao (Carnegie Mellon University), Chrisopher Dishop (Carnegie Mellon University), Allen Brown (Carnegie Mellon University), Anita Williams Woolley (Carnegie Mellon University)

"Nuanced effect of human trust in AI on human-ai collaboration performance"  
Danushka Bandara (Fairfield University), Robert Dillon (Fairfield University), Noor Khattak (Fairfield University)

"Learning with AI assistance: a path to better task performance or dependence?"  
Sheer Karny (University of California, Irvine),, Lukas William Mayer (University of California, Irvine), Jackie Ayoub (Honda Research Institute), Miao Song (Honda Research Institute), Haotian Su (Honda Research Institute), Danyang Tian (Honda Research Institute), Ehsan Moradi-Pari (Honda Research Institute), Mark Steyver (University of California, Irvine)

"When are human-ai groups useful?"  
Michelle Vaccaro (MIT), Abdullah Almaatouq (MIT), Thomas Malone (MIT)

‍

Session I: Beliefs 1

Room: ISEC 136

Chair: Torben Andersen

"Using the belief landscape model to predict individual belief dynamics"  
Jianghui Li (Syracuse University), Joshua Introne (Syracuse University)

"Using artificial intelligence to accelerate collective intelligence: policy synth and smarter crowdsourcing"
Robert Bjarnason (Citizens Foundation), Dane Gambrell (The GovLab)

"Multiple AI agents that support crowd discussion"
Takayuki Ito (Kyoto University), Yihan Dong (Kyoto University), Jawad Ahmad Haqbeen (Kyoto University), Tokuro Matsuo (Advanced Institute of Industrial Technology), Sofia Sahab (Kyoto University)

‍

Session A: Wisdom of crowds

Room: Auditorium

Chair: Joshua Introne

"Evaluating News Domain Quality through a Wisdom of Expert Crowds Approach"  
‍Hause Lin (MIT), Jana Lasser (Graz University of Technology), Stephan Lewandowsky (University of Bristol), Rocky Cole (MIT), Andrew Gully (Google Jigsaw), David Rand (MIT), Gordon Pennycook (Cornell University)

‍"Estimates are not decisions: how wise crowds can make unwise choices"  
‍Jingze Wang (UCL School of Management), Joshua Becker (UCL School of Management)

‍"Leveraging advice-taking and kernel density estimation to identify a cluster of experts and improve wisdom of crowds"  
‍Yunhao Zhang (University of California, Berkeley)

‍"Averaging, Communication, and Wisdom of crowds"
‍Ulrike Hahn (Birkbeck College, University of London and Munich Center for Mathematical Philosophy (LMU)), Leon Assaad (Munich Center for Mathematical Philosophy (LMU)), Jason Burton (Copenhagen Business School)

‍

Session B: Large Language Models

Room: ISEC 140+142

Chair: Abraham Bernstein

‍"Does reading the literature improve the ability to predict the effects of interventions?"  
‍Robin Na (MIT), Abdullah Almaatouq (MIT)

‍"AI-in-the-loop expert labelling for LLM's real-world domain adaptation"  
‍Bingsheng Yao (Northeastern University), Dakuo Wang (Northeastern University)

‍"Automated social science: a structural causal model-based approach"  
‍Kehang Zhu (Harvard), Benjamin Manning (MIT), John Horton (MIT)

‍"Tripartite intelligence: synergizing deep neural network, large language model, and human intelligence for public health misinformation detection"  
‍Yang Zhang (University of Illinois at Urbana-Champaign), Rouhan Zong (University of Illinois at Urbana-Champaign), Lanyu Shang (University of Illinois at Urbana-Champaign), Zhenrui Yue (University of Illinois at Urbana-Champaign), Huimin Zeng (University of Illinois at Urbana-Champaign), Yifan Liu (University of Illinois at Urbana-Champaign), Dong Wang (University of Illinois at Urbana-Champaign)

‍

Session C: Open Source

Room: ISEC 136

Chair: Vicky Yang

"Emergent Structures and roles of and open science community during crisis: the case of OpenCovid19"
‍Camille Masselot (Universite Paris Cite, Inserm), Olga Kokshagina (Edhec Business School), Marc Santolini (Universite Paris Cite, Inserm)‍

"How can open source technology ecosystems create value? Evidence from investors' reactions to firms' github code releases"  
‍Wei Yang (China Europe International Business School)

‍"Generative AI and distributed work: evidence from open source software"  
‍Manuel Hoffman (Harvard Business School), Sam Boysel (Harvard Business School), Frank Nagle (Harvard Business School), Sida Peng (Microsoft Corporation), Kevin Xu (Github Inc.)

‍"Collective adaptation of human behavior during global crises: a COVID-19 case study"  
‍Tamanna Urmi (Northeastern University), Chris Riedl (Northeastern University), David Lazer (Northeastern University), Mauricio Santillana (Northeastern University)

‍

Session W1

Room: ISEC 138

‍

"Enhancing Hypermind Operations: Leveraging Collective Intelligence and Exploring AI Integration - A Panel Discussion"
Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍

Session D: AI Support and Creativity

Room: Auditorium

Chair: Kwong Chan

‍"Office-Mind AI: A Generative AI Tool for Gig Workers"
Christopher Curtis (Northeastern University), Seth Cooper (Northeastern University), Saiph Savage (Northeastern University)

"Towards collaborative brainstorming among humans and AI agents: an implementation of the IBIS-based brainstorming support system with multiple AI agents"
Moeka Nomura (Kyoto University), Takayuki Ito (Kyoto University), Shiyao Ding (Kyoto University)

‍"Supermind Ideator: How Scaffolding human-ai collaboration can increase creativity"
Jennifer Heyman (MIT), Steven Rick (MIT), Gianni Giacomelli (MIT), Haoran Wen (MIT), Robert Laubacher (MIT), Nancy Taubenslag (MIT), Max Knicker (Ecole Polytechnique), Younes Jeddi (Mohammed VI Polytechnic University), Pranav Ragupathy (MIT), Jared Curhan (MIT), Thomas Malone (MIT)

‍

‍

Session E: Sociality

Room: ISEC 140+142

Chair: Emily Hu

"The robust benefits of social influence for the wisdom of individuals in the crowd"
Charlie Pilgrim (University of Leeds), Joshua Becker (University College London)

"Towards unifying the understanding of social learnings' impact on collective decisions"  
Vicky Yang (MIT), Levi Grenier (MIT)

"Collective Emotional Intelligence? Social Information does not improve Group Judgement Accuracy in Emotion Judgements"  
‍Tom Taiyi (UCL School of Management), Amit Goldenberg (Harvard HBS)

‍

Session F: Mechanisms

Room: ISEC 136

Chair: Steven Sloman

"An AI-powered cross-device system to enhance group cohesion and collective intelligence at workshops" Jude Abishek Rayan (University of California, San Diego), Jinmao Wang (University of California, San Diego), Yifan Gong (University of California, San Diego), Nan Jiang (University of California, San Diego), Steven P. Dow (University of California, San Diego)

"Evaluating prediction mechanisms: a profitability test"
Rajiv Sethi (Barnard College, Columbia University), Julie Seager (Barnard College), Daniel Benjamin (Nova Southeastern University), Fred Morstatter (University of Southern California), Olivia Bobrownicki (Barnard College), Emily Cai (Columbia University), Yuqi Cheng (Barnard College), Anushka Kumar (Barnard College), Anusha Wanganoo (Barnard College)

"Full characterization of adaptively strong majority voting in crowdsourcing"  
‍Margarita Boyarskaya (NYU Stern), Panos Ipeirotis (NYU Stern)

‍"Task allocation in teams as a multi-armed bandit"
Raja Marjieh (Princeton University), Anand Gokhale (University of California Santa Barbara), Francesce Bullo (University of California Santa Barbara), Tom Griffiths (Princeton University)

‍

‍

‍

Session W1

Room: ISEC 138

‍

"Workshop on Safe AI-Enabled Systems through Collective Intelligence"
Thomas Kopinski (South Westphalia University of Applied Sciences), Justice Sefas (University of British Columbia), Michael Walters (Gaia Consortium)
‍

‍

Poster slam presentations

Room: Auditorium

‍

Teaching to Learn and Learning to Teach: Using Machine Training to Develop Artificial Intelligence Partners in Organizations"
‍Andrea Lipparini, Maurizio Sobrero and Korinzia Toniolo

‍GigSense: An LLM-Infused Tool for Workers’ Collective Intelligence
‍Kashif Imteyaz, Claudia Flores-Saviaga and Saiph Savage

‍Examining the Effects of Explainable Hints in AI-Driven Training
‍Torrence Farmer and Chien-Ju Ho

‍Automatic Evaluation of Discussion Quality using LLM Data Augmentation
‍Kazuhito Mori, Shiyao Ding, Susumu Ohnuma, Yume Souma and Takayuki Ito

‍An Empirical Study of the El Farol Bar Problem
‍Edgar Andrade-Lotero and Robert Goldstone

‍The Epistemic Potential of Adversarial Cooperation
‍Almos Molnar

‍The Impact of Technological Breakthrough on Subsequent Invention Search: Evidence from a Quasi-Experiment in Deep Learning
‍Wei Yang, Yuchen Zhang and Weiguo Zhong

‍Decoding Collective Decision-Making in a Two-Day SIGCHI-Supported HCI Workshop
‍Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍KnEvol: A Simulation for Examining the Role of Social Bias in Collective Intelligence
‍Laroyce Covington and Joshua Introne

‍Large Language Models (LLMs) for Communication Disorders: Collective Intelligence from Speech Language and Hearing Science
‍Yao Du, Bingshen Yao and Dakuo Wang

‍

‍

‍

Session A: Wisdom of crowds

Room: Auditorium

Chair: Joshua Introne

"Evaluating News Domain Quality through a Wisdom of Expert Crowds Approach"  
‍Hause Lin (MIT), Jana Lasser (Graz University of Technology), Stephan Lewandowsky (University of Bristol), Rocky Cole (MIT), Andrew Gully (Google Jigsaw), David Rand (MIT), Gordon Pennycook (Cornell University)

‍"Estimates are not decisions: how wise crowds can make unwise choices"  
‍Jingze Wang (UCL School of Management), Joshua Becker (UCL School of Management)

‍"Leveraging advice-taking and kernel density estimation to identify a cluster of experts and improve wisdom of crowds"  
‍Yunhao Zhang (University of California, Berkeley)

‍"Averaging, Communication, and Wisdom of crowds"
‍Ulrike Hahn (Birkbeck College, University of London and Munich Center for Mathematical Philosophy (LMU)), Leon Assaad (Munich Center for Mathematical Philosophy (LMU)), Jason Burton (Copenhagen Business School)

‍

Session B: Large Language Models

Room: ISEC 140+142

Chair: Abraham Bernstein

‍"Does reading the literature improve the ability to predict the effects of interventions?"  
‍Robin Na (MIT), Abdullah Almaatouq (MIT)

‍"AI-in-the-loop expert labelling for LLM's real-world domain adaptation"  
‍Bingsheng Yao (Northeastern University), Dakuo Wang (Northeastern University)

‍"Automated social science: a structural causal model-based approach"  
‍Kehang Zhu (Harvard), Benjamin Manning (MIT), John Horton (MIT)

‍"Tripartite intelligence: synergizing deep neural network, large language model, and human intelligence for public health misinformation detection"  
‍Yang Zhang (University of Illinois at Urbana-Champaign), Rouhan Zong (University of Illinois at Urbana-Champaign), Lanyu Shang (University of Illinois at Urbana-Champaign), Zhenrui Yue (University of Illinois at Urbana-Champaign), Huimin Zeng (University of Illinois at Urbana-Champaign), Yifan Liu (University of Illinois at Urbana-Champaign), Dong Wang (University of Illinois at Urbana-Champaign)

‍

Session C: Open Source

Room: ISEC 136

Chair: Vicky Yang

"Emergent Structures and roles of and open science community during crisis: the case of OpenCovid19"
‍Camille Masselot (Universite Paris Cite, Inserm), Olga Kokshagina (Edhec Business School), Marc Santolini (Universite Paris Cite, Inserm)‍

"How can open source technology ecosystems create value? Evidence from investors' reactions to firms' github code releases"  
‍Wei Yang (China Europe International Business School)

‍"Generative AI and distributed work: evidence from open source software"  
‍Manuel Hoffman (Harvard Business School), Sam Boysel (Harvard Business School), Frank Nagle (Harvard Business School), Sida Peng (Microsoft Corporation), Kevin Xu (Github Inc.)

‍"Collective adaptation of human behavior during global crises: a COVID-19 case study"  
‍Tamanna Urmi (Northeastern University), Chris Riedl (Northeastern University), David Lazer (Northeastern University), Mauricio Santillana (Northeastern University)

‍

Session W1

Room: ISEC 138

‍

"Enhancing Hypermind Operations: Leveraging Collective Intelligence and Exploring AI Integration - A Panel Discussion"
Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍

Session D: AI Support and Creativity

Room: Auditorium

Chair: Kwong Chan

‍"Office-Mind AI: A Generative AI Tool for Gig Workers"
Christopher Curtis (Northeastern University), Seth Cooper (Northeastern University), Saiph Savage (Northeastern University)

"Towards collaborative brainstorming among humans and AI agents: an implementation of the IBIS-based brainstorming support system with multiple AI agents"
Moeka Nomura (Kyoto University), Takayuki Ito (Kyoto University), Shiyao Ding (Kyoto University)

‍"Supermind Ideator: How Scaffolding human-ai collaboration can increase creativity"
Jennifer Heyman (MIT), Steven Rick (MIT), Gianni Giacomelli (MIT), Haoran Wen (MIT), Robert Laubacher (MIT), Nancy Taubenslag (MIT), Max Knicker (Ecole Polytechnique), Younes Jeddi (Mohammed VI Polytechnic University), Pranav Ragupathy (MIT), Jared Curhan (MIT), Thomas Malone (MIT)

‍

‍

Session E: Sociality

Room: ISEC 140+142

Chair: Emily Hu

"The robust benefits of social influence for the wisdom of individuals in the crowd"
Charlie Pilgrim (University of Leeds), Joshua Becker (University College London)

"Towards unifying the understanding of social learnings' impact on collective decisions"  
Vicky Yang (MIT), Levi Grenier (MIT)

"Collective Emotional Intelligence? Social Information does not improve Group Judgement Accuracy in Emotion Judgements"  
‍Tom Taiyi (UCL School of Management), Amit Goldenberg (Harvard HBS)

‍

Session F: Mechanisms

Room: ISEC 136

Chair: Steven Sloman

"An AI-powered cross-device system to enhance group cohesion and collective intelligence at workshops" Jude Abishek Rayan (University of California, San Diego), Jinmao Wang (University of California, San Diego), Yifan Gong (University of California, San Diego), Nan Jiang (University of California, San Diego), Steven P. Dow (University of California, San Diego)

"Evaluating prediction mechanisms: a profitability test"
Rajiv Sethi (Barnard College, Columbia University), Julie Seager (Barnard College), Daniel Benjamin (Nova Southeastern University), Fred Morstatter (University of Southern California), Olivia Bobrownicki (Barnard College), Emily Cai (Columbia University), Yuqi Cheng (Barnard College), Anushka Kumar (Barnard College), Anusha Wanganoo (Barnard College)

"Full characterization of adaptively strong majority voting in crowdsourcing"  
‍Margarita Boyarskaya (NYU Stern), Panos Ipeirotis (NYU Stern)

‍"Task allocation in teams as a multi-armed bandit"
Raja Marjieh (Princeton University), Anand Gokhale (University of California Santa Barbara), Francesce Bullo (University of California Santa Barbara), Tom Griffiths (Princeton University)

‍

‍

‍

Session W1

Room: ISEC 138

‍

"Workshop on Safe AI-Enabled Systems through Collective Intelligence"
Thomas Kopinski (South Westphalia University of Applied Sciences), Justice Sefas (University of British Columbia), Michael Walters (Gaia Consortium)
‍

‍

Poster slam presentations

Room: Auditorium

‍

Teaching to Learn and Learning to Teach: Using Machine Training to Develop Artificial Intelligence Partners in Organizations"
‍Andrea Lipparini, Maurizio Sobrero and Korinzia Toniolo

‍GigSense: An LLM-Infused Tool for Workers’ Collective Intelligence
‍Kashif Imteyaz, Claudia Flores-Saviaga and Saiph Savage

‍Examining the Effects of Explainable Hints in AI-Driven Training
‍Torrence Farmer and Chien-Ju Ho

‍Automatic Evaluation of Discussion Quality using LLM Data Augmentation
‍Kazuhito Mori, Shiyao Ding, Susumu Ohnuma, Yume Souma and Takayuki Ito

‍An Empirical Study of the El Farol Bar Problem
‍Edgar Andrade-Lotero and Robert Goldstone

‍The Epistemic Potential of Adversarial Cooperation
‍Almos Molnar

‍The Impact of Technological Breakthrough on Subsequent Invention Search: Evidence from a Quasi-Experiment in Deep Learning
‍Wei Yang, Yuchen Zhang and Weiguo Zhong

‍Decoding Collective Decision-Making in a Two-Day SIGCHI-Supported HCI Workshop
‍Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍KnEvol: A Simulation for Examining the Role of Social Bias in Collective Intelligence
‍Laroyce Covington and Joshua Introne

‍Large Language Models (LLMs) for Communication Disorders: Collective Intelligence from Speech Language and Hearing Science
‍Yao Du, Bingshen Yao and Dakuo Wang

‍

‍

‍

Session G: Communication

Room: Auditorium

Chair: Seth Bullock

"The echo chambers of complexity: exploring the impact of design complexity on groupthink and innovation - An experimental study"  
‍Soumyakant Padhee (Lenoir-Rhyne University), Babak Heydari (Northeastern University)

‍"Unraveling Communication mechanisms for aggregation and food exchange among honeybees"
‍Golnar Gharooni Fard (University of Colorado Boulder), Anna Rahn (University of Colorado Boulder), Richard Terrile (University of Colorado Boulder), Elizabeth Bradley (University of Colorado Boulder), Orit Peleg (University of Colorado Boulder)

‍"Multidisciplinary learning through collective performance favors decentralization"  
‍John Meluso (University of Vermont), Laurent Hebert-Dufresne (University of Vermont)

‍"Harnessing partisan motives to solve the misinformation problem"  
‍Cameron Martel (MIT Sloan), Jennifer Allen (MIT Sloan), David Rand (MIT Sloan)

‍

Session H: Human-AI Teams

Room: ISEC 140+142

Chair: Victor Seidel

"The collaborative caring virtual testbed: a software platform for prototyping collective intelligence interventions for asynchronous care-teams"  
Andrew Kuznetsov (Carnegie Mellon University), Ping-Ya Chao (Carnegie Mellon University), Chrisopher Dishop (Carnegie Mellon University), Allen Brown (Carnegie Mellon University), Anita Williams Woolley (Carnegie Mellon University)

"Nuanced effect of human trust in AI on human-ai collaboration performance"  
Danushka Bandara (Fairfield University), Robert Dillon (Fairfield University), Noor Khattak (Fairfield University)

"Learning with AI assistance: a path to better task performance or dependence?"  
Sheer Karny (University of California, Irvine),, Lukas William Mayer (University of California, Irvine), Jackie Ayoub (Honda Research Institute), Miao Song (Honda Research Institute), Haotian Su (Honda Research Institute), Danyang Tian (Honda Research Institute), Ehsan Moradi-Pari (Honda Research Institute), Mark Steyver (University of California, Irvine)

"When are human-ai groups useful?"  
Michelle Vaccaro (MIT), Abdullah Almaatouq (MIT), Thomas Malone (MIT)

‍

Session I: Beliefs 1

Room: ISEC 136

Chair: Torben Andersen

"Using the belief landscape model to predict individual belief dynamics"  
Jianghui Li (Syracuse University), Joshua Introne (Syracuse University)

"Using artificial intelligence to accelerate collective intelligence: policy synth and smarter crowdsourcing"
Robert Bjarnason (Citizens Foundation), Dane Gambrell (The GovLab)

"Multiple AI agents that support crowd discussion"
Takayuki Ito (Kyoto University), Yihan Dong (Kyoto University), Jawad Ahmad Haqbeen (Kyoto University), Tokuro Matsuo (Advanced Institute of Industrial Technology), Sofia Sahab (Kyoto University)

‍

Session A: Wisdom of crowds

Room: Auditorium

Chair: Joshua Introne

"Evaluating News Domain Quality through a Wisdom of Expert Crowds Approach"  
‍Hause Lin (MIT), Jana Lasser (Graz University of Technology), Stephan Lewandowsky (University of Bristol), Rocky Cole (MIT), Andrew Gully (Google Jigsaw), David Rand (MIT), Gordon Pennycook (Cornell University)

‍"Estimates are not decisions: how wise crowds can make unwise choices"  
‍Jingze Wang (UCL School of Management), Joshua Becker (UCL School of Management)

‍"Leveraging advice-taking and kernel density estimation to identify a cluster of experts and improve wisdom of crowds"  
‍Yunhao Zhang (University of California, Berkeley)

‍"Averaging, Communication, and Wisdom of crowds"
‍Ulrike Hahn (Birkbeck College, University of London and Munich Center for Mathematical Philosophy (LMU)), Leon Assaad (Munich Center for Mathematical Philosophy (LMU)), Jason Burton (Copenhagen Business School)

‍

Session B: Large Language Models

Room: ISEC 140+142

Chair: Abraham Bernstein

‍"Does reading the literature improve the ability to predict the effects of interventions?"  
‍Robin Na (MIT), Abdullah Almaatouq (MIT)

‍"AI-in-the-loop expert labelling for LLM's real-world domain adaptation"  
‍Bingsheng Yao (Northeastern University), Dakuo Wang (Northeastern University)

‍"Automated social science: a structural causal model-based approach"  
‍Kehang Zhu (Harvard), Benjamin Manning (MIT), John Horton (MIT)

‍"Tripartite intelligence: synergizing deep neural network, large language model, and human intelligence for public health misinformation detection"  
‍Yang Zhang (University of Illinois at Urbana-Champaign), Rouhan Zong (University of Illinois at Urbana-Champaign), Lanyu Shang (University of Illinois at Urbana-Champaign), Zhenrui Yue (University of Illinois at Urbana-Champaign), Huimin Zeng (University of Illinois at Urbana-Champaign), Yifan Liu (University of Illinois at Urbana-Champaign), Dong Wang (University of Illinois at Urbana-Champaign)

‍

Session C: Open Source

Room: ISEC 136

Chair: Vicky Yang

"Emergent Structures and roles of and open science community during crisis: the case of OpenCovid19"
‍Camille Masselot (Universite Paris Cite, Inserm), Olga Kokshagina (Edhec Business School), Marc Santolini (Universite Paris Cite, Inserm)‍

"How can open source technology ecosystems create value? Evidence from investors' reactions to firms' github code releases"  
‍Wei Yang (China Europe International Business School)

‍"Generative AI and distributed work: evidence from open source software"  
‍Manuel Hoffman (Harvard Business School), Sam Boysel (Harvard Business School), Frank Nagle (Harvard Business School), Sida Peng (Microsoft Corporation), Kevin Xu (Github Inc.)

‍"Collective adaptation of human behavior during global crises: a COVID-19 case study"  
‍Tamanna Urmi (Northeastern University), Chris Riedl (Northeastern University), David Lazer (Northeastern University), Mauricio Santillana (Northeastern University)

‍

Session W1

Room: ISEC 138

‍

"Enhancing Hypermind Operations: Leveraging Collective Intelligence and Exploring AI Integration - A Panel Discussion"
Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍

Session D: AI Support and Creativity

Room: Auditorium

Chair: Kwong Chan

‍"Office-Mind AI: A Generative AI Tool for Gig Workers"
Christopher Curtis (Northeastern University), Seth Cooper (Northeastern University), Saiph Savage (Northeastern University)

"Towards collaborative brainstorming among humans and AI agents: an implementation of the IBIS-based brainstorming support system with multiple AI agents"
Moeka Nomura (Kyoto University), Takayuki Ito (Kyoto University), Shiyao Ding (Kyoto University)

‍"Supermind Ideator: How Scaffolding human-ai collaboration can increase creativity"
Jennifer Heyman (MIT), Steven Rick (MIT), Gianni Giacomelli (MIT), Haoran Wen (MIT), Robert Laubacher (MIT), Nancy Taubenslag (MIT), Max Knicker (Ecole Polytechnique), Younes Jeddi (Mohammed VI Polytechnic University), Pranav Ragupathy (MIT), Jared Curhan (MIT), Thomas Malone (MIT)

‍

‍

Session E: Sociality

Room: ISEC 140+142

Chair: Emily Hu

"The robust benefits of social influence for the wisdom of individuals in the crowd"
Charlie Pilgrim (University of Leeds), Joshua Becker (University College London)

"Towards unifying the understanding of social learnings' impact on collective decisions"  
Vicky Yang (MIT), Levi Grenier (MIT)

"Collective Emotional Intelligence? Social Information does not improve Group Judgement Accuracy in Emotion Judgements"  
‍Tom Taiyi (UCL School of Management), Amit Goldenberg (Harvard HBS)

‍

Session F: Mechanisms

Room: ISEC 136

Chair: Steven Sloman

"An AI-powered cross-device system to enhance group cohesion and collective intelligence at workshops" Jude Abishek Rayan (University of California, San Diego), Jinmao Wang (University of California, San Diego), Yifan Gong (University of California, San Diego), Nan Jiang (University of California, San Diego), Steven P. Dow (University of California, San Diego)

"Evaluating prediction mechanisms: a profitability test"
Rajiv Sethi (Barnard College, Columbia University), Julie Seager (Barnard College), Daniel Benjamin (Nova Southeastern University), Fred Morstatter (University of Southern California), Olivia Bobrownicki (Barnard College), Emily Cai (Columbia University), Yuqi Cheng (Barnard College), Anushka Kumar (Barnard College), Anusha Wanganoo (Barnard College)

"Full characterization of adaptively strong majority voting in crowdsourcing"  
‍Margarita Boyarskaya (NYU Stern), Panos Ipeirotis (NYU Stern)

‍"Task allocation in teams as a multi-armed bandit"
Raja Marjieh (Princeton University), Anand Gokhale (University of California Santa Barbara), Francesce Bullo (University of California Santa Barbara), Tom Griffiths (Princeton University)

‍

‍

‍

Session W1

Room: ISEC 138

‍

"Workshop on Safe AI-Enabled Systems through Collective Intelligence"
Thomas Kopinski (South Westphalia University of Applied Sciences), Justice Sefas (University of British Columbia), Michael Walters (Gaia Consortium)
‍

‍

Poster slam presentations

Room: Auditorium

‍

Teaching to Learn and Learning to Teach: Using Machine Training to Develop Artificial Intelligence Partners in Organizations"
‍Andrea Lipparini, Maurizio Sobrero and Korinzia Toniolo

‍GigSense: An LLM-Infused Tool for Workers’ Collective Intelligence
‍Kashif Imteyaz, Claudia Flores-Saviaga and Saiph Savage

‍Examining the Effects of Explainable Hints in AI-Driven Training
‍Torrence Farmer and Chien-Ju Ho

‍Automatic Evaluation of Discussion Quality using LLM Data Augmentation
‍Kazuhito Mori, Shiyao Ding, Susumu Ohnuma, Yume Souma and Takayuki Ito

‍An Empirical Study of the El Farol Bar Problem
‍Edgar Andrade-Lotero and Robert Goldstone

‍The Epistemic Potential of Adversarial Cooperation
‍Almos Molnar

‍The Impact of Technological Breakthrough on Subsequent Invention Search: Evidence from a Quasi-Experiment in Deep Learning
‍Wei Yang, Yuchen Zhang and Weiguo Zhong

‍Decoding Collective Decision-Making in a Two-Day SIGCHI-Supported HCI Workshop
‍Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍KnEvol: A Simulation for Examining the Role of Social Bias in Collective Intelligence
‍Laroyce Covington and Joshua Introne

‍Large Language Models (LLMs) for Communication Disorders: Collective Intelligence from Speech Language and Hearing Science
‍Yao Du, Bingshen Yao and Dakuo Wang

‍

‍

‍

Session G: Communication

Room: Auditorium

Chair: Seth Bullock

"The echo chambers of complexity: exploring the impact of design complexity on groupthink and innovation - An experimental study"  
‍Soumyakant Padhee (Lenoir-Rhyne University), Babak Heydari (Northeastern University)

‍"Unraveling Communication mechanisms for aggregation and food exchange among honeybees"
‍Golnar Gharooni Fard (University of Colorado Boulder), Anna Rahn (University of Colorado Boulder), Richard Terrile (University of Colorado Boulder), Elizabeth Bradley (University of Colorado Boulder), Orit Peleg (University of Colorado Boulder)

‍"Multidisciplinary learning through collective performance favors decentralization"  
‍John Meluso (University of Vermont), Laurent Hebert-Dufresne (University of Vermont)

‍"Harnessing partisan motives to solve the misinformation problem"  
‍Cameron Martel (MIT Sloan), Jennifer Allen (MIT Sloan), David Rand (MIT Sloan)

‍

Session H: Human-AI Teams

Room: ISEC 140+142

Chair: Victor Seidel

"The collaborative caring virtual testbed: a software platform for prototyping collective intelligence interventions for asynchronous care-teams"  
Andrew Kuznetsov (Carnegie Mellon University), Ping-Ya Chao (Carnegie Mellon University), Chrisopher Dishop (Carnegie Mellon University), Allen Brown (Carnegie Mellon University), Anita Williams Woolley (Carnegie Mellon University)

"Nuanced effect of human trust in AI on human-ai collaboration performance"  
Danushka Bandara (Fairfield University), Robert Dillon (Fairfield University), Noor Khattak (Fairfield University)

"Learning with AI assistance: a path to better task performance or dependence?"  
Sheer Karny (University of California, Irvine),, Lukas William Mayer (University of California, Irvine), Jackie Ayoub (Honda Research Institute), Miao Song (Honda Research Institute), Haotian Su (Honda Research Institute), Danyang Tian (Honda Research Institute), Ehsan Moradi-Pari (Honda Research Institute), Mark Steyver (University of California, Irvine)

"When are human-ai groups useful?"  
Michelle Vaccaro (MIT), Abdullah Almaatouq (MIT), Thomas Malone (MIT)

‍

Session I: Beliefs 1

Room: ISEC 136

Chair: Torben Andersen

"Using the belief landscape model to predict individual belief dynamics"  
Jianghui Li (Syracuse University), Joshua Introne (Syracuse University)

"Using artificial intelligence to accelerate collective intelligence: policy synth and smarter crowdsourcing"
Robert Bjarnason (Citizens Foundation), Dane Gambrell (The GovLab)

"Multiple AI agents that support crowd discussion"
Takayuki Ito (Kyoto University), Yihan Dong (Kyoto University), Jawad Ahmad Haqbeen (Kyoto University), Tokuro Matsuo (Advanced Institute of Industrial Technology), Sofia Sahab (Kyoto University)

‍

Session A: Wisdom of crowds

Room: Auditorium

Chair: Joshua Introne

"Evaluating News Domain Quality through a Wisdom of Expert Crowds Approach"  
‍Hause Lin (MIT), Jana Lasser (Graz University of Technology), Stephan Lewandowsky (University of Bristol), Rocky Cole (MIT), Andrew Gully (Google Jigsaw), David Rand (MIT), Gordon Pennycook (Cornell University)

‍"Estimates are not decisions: how wise crowds can make unwise choices"  
‍Jingze Wang (UCL School of Management), Joshua Becker (UCL School of Management)

‍"Leveraging advice-taking and kernel density estimation to identify a cluster of experts and improve wisdom of crowds"  
‍Yunhao Zhang (University of California, Berkeley)

‍"Averaging, Communication, and Wisdom of crowds"
‍Ulrike Hahn (Birkbeck College, University of London and Munich Center for Mathematical Philosophy (LMU)), Leon Assaad (Munich Center for Mathematical Philosophy (LMU)), Jason Burton (Copenhagen Business School)

‍

Session B: Large Language Models

Room: ISEC 140+142

Chair: Abraham Bernstein

‍"Does reading the literature improve the ability to predict the effects of interventions?"  
‍Robin Na (MIT), Abdullah Almaatouq (MIT)

‍"AI-in-the-loop expert labelling for LLM's real-world domain adaptation"  
‍Bingsheng Yao (Northeastern University), Dakuo Wang (Northeastern University)

‍"Automated social science: a structural causal model-based approach"  
‍Kehang Zhu (Harvard), Benjamin Manning (MIT), John Horton (MIT)

‍"Tripartite intelligence: synergizing deep neural network, large language model, and human intelligence for public health misinformation detection"  
‍Yang Zhang (University of Illinois at Urbana-Champaign), Rouhan Zong (University of Illinois at Urbana-Champaign), Lanyu Shang (University of Illinois at Urbana-Champaign), Zhenrui Yue (University of Illinois at Urbana-Champaign), Huimin Zeng (University of Illinois at Urbana-Champaign), Yifan Liu (University of Illinois at Urbana-Champaign), Dong Wang (University of Illinois at Urbana-Champaign)

‍

Session C: Open Source

Room: ISEC 136

Chair: Vicky Yang

"Emergent Structures and roles of and open science community during crisis: the case of OpenCovid19"
‍Camille Masselot (Universite Paris Cite, Inserm), Olga Kokshagina (Edhec Business School), Marc Santolini (Universite Paris Cite, Inserm)‍

"How can open source technology ecosystems create value? Evidence from investors' reactions to firms' github code releases"  
‍Wei Yang (China Europe International Business School)

‍"Generative AI and distributed work: evidence from open source software"  
‍Manuel Hoffman (Harvard Business School), Sam Boysel (Harvard Business School), Frank Nagle (Harvard Business School), Sida Peng (Microsoft Corporation), Kevin Xu (Github Inc.)

‍"Collective adaptation of human behavior during global crises: a COVID-19 case study"  
‍Tamanna Urmi (Northeastern University), Chris Riedl (Northeastern University), David Lazer (Northeastern University), Mauricio Santillana (Northeastern University)

‍

Session W1

Room: ISEC 138

‍

"Enhancing Hypermind Operations: Leveraging Collective Intelligence and Exploring AI Integration - A Panel Discussion"
Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍

Session D: AI Support and Creativity

Room: Auditorium

Chair: Kwong Chan

‍"Office-Mind AI: A Generative AI Tool for Gig Workers"
Christopher Curtis (Northeastern University), Seth Cooper (Northeastern University), Saiph Savage (Northeastern University)

"Towards collaborative brainstorming among humans and AI agents: an implementation of the IBIS-based brainstorming support system with multiple AI agents"
Moeka Nomura (Kyoto University), Takayuki Ito (Kyoto University), Shiyao Ding (Kyoto University)

‍"Supermind Ideator: How Scaffolding human-ai collaboration can increase creativity"
Jennifer Heyman (MIT), Steven Rick (MIT), Gianni Giacomelli (MIT), Haoran Wen (MIT), Robert Laubacher (MIT), Nancy Taubenslag (MIT), Max Knicker (Ecole Polytechnique), Younes Jeddi (Mohammed VI Polytechnic University), Pranav Ragupathy (MIT), Jared Curhan (MIT), Thomas Malone (MIT)

‍

‍

Session E: Sociality

Room: ISEC 140+142

Chair: Emily Hu

"The robust benefits of social influence for the wisdom of individuals in the crowd"
Charlie Pilgrim (University of Leeds), Joshua Becker (University College London)

"Towards unifying the understanding of social learnings' impact on collective decisions"  
Vicky Yang (MIT), Levi Grenier (MIT)

"Collective Emotional Intelligence? Social Information does not improve Group Judgement Accuracy in Emotion Judgements"  
‍Tom Taiyi (UCL School of Management), Amit Goldenberg (Harvard HBS)

‍

Session F: Mechanisms

Room: ISEC 136

Chair: Steven Sloman

"An AI-powered cross-device system to enhance group cohesion and collective intelligence at workshops" Jude Abishek Rayan (University of California, San Diego), Jinmao Wang (University of California, San Diego), Yifan Gong (University of California, San Diego), Nan Jiang (University of California, San Diego), Steven P. Dow (University of California, San Diego)

"Evaluating prediction mechanisms: a profitability test"
Rajiv Sethi (Barnard College, Columbia University), Julie Seager (Barnard College), Daniel Benjamin (Nova Southeastern University), Fred Morstatter (University of Southern California), Olivia Bobrownicki (Barnard College), Emily Cai (Columbia University), Yuqi Cheng (Barnard College), Anushka Kumar (Barnard College), Anusha Wanganoo (Barnard College)

"Full characterization of adaptively strong majority voting in crowdsourcing"  
‍Margarita Boyarskaya (NYU Stern), Panos Ipeirotis (NYU Stern)

‍"Task allocation in teams as a multi-armed bandit"
Raja Marjieh (Princeton University), Anand Gokhale (University of California Santa Barbara), Francesce Bullo (University of California Santa Barbara), Tom Griffiths (Princeton University)

‍

‍

‍

Session W1

Room: ISEC 138

‍

"Workshop on Safe AI-Enabled Systems through Collective Intelligence"
Thomas Kopinski (South Westphalia University of Applied Sciences), Justice Sefas (University of British Columbia), Michael Walters (Gaia Consortium)
‍

‍

Poster slam presentations

Room: Auditorium

‍

Teaching to Learn and Learning to Teach: Using Machine Training to Develop Artificial Intelligence Partners in Organizations"
‍Andrea Lipparini, Maurizio Sobrero and Korinzia Toniolo

‍GigSense: An LLM-Infused Tool for Workers’ Collective Intelligence
‍Kashif Imteyaz, Claudia Flores-Saviaga and Saiph Savage

‍Examining the Effects of Explainable Hints in AI-Driven Training
‍Torrence Farmer and Chien-Ju Ho

‍Automatic Evaluation of Discussion Quality using LLM Data Augmentation
‍Kazuhito Mori, Shiyao Ding, Susumu Ohnuma, Yume Souma and Takayuki Ito

‍An Empirical Study of the El Farol Bar Problem
‍Edgar Andrade-Lotero and Robert Goldstone

‍The Epistemic Potential of Adversarial Cooperation
‍Almos Molnar

‍The Impact of Technological Breakthrough on Subsequent Invention Search: Evidence from a Quasi-Experiment in Deep Learning
‍Wei Yang, Yuchen Zhang and Weiguo Zhong

‍Decoding Collective Decision-Making in a Two-Day SIGCHI-Supported HCI Workshop
‍Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍KnEvol: A Simulation for Examining the Role of Social Bias in Collective Intelligence
‍Laroyce Covington and Joshua Introne

‍Large Language Models (LLMs) for Communication Disorders: Collective Intelligence from Speech Language and Hearing Science
‍Yao Du, Bingshen Yao and Dakuo Wang

‍

‍

‍

Session G: Communication

Room: Auditorium

Chair: Seth Bullock

"The echo chambers of complexity: exploring the impact of design complexity on groupthink and innovation - An experimental study"  
‍Soumyakant Padhee (Lenoir-Rhyne University), Babak Heydari (Northeastern University)

‍"Unraveling Communication mechanisms for aggregation and food exchange among honeybees"
‍Golnar Gharooni Fard (University of Colorado Boulder), Anna Rahn (University of Colorado Boulder), Richard Terrile (University of Colorado Boulder), Elizabeth Bradley (University of Colorado Boulder), Orit Peleg (University of Colorado Boulder)

‍"Multidisciplinary learning through collective performance favors decentralization"  
‍John Meluso (University of Vermont), Laurent Hebert-Dufresne (University of Vermont)

‍"Harnessing partisan motives to solve the misinformation problem"  
‍Cameron Martel (MIT Sloan), Jennifer Allen (MIT Sloan), David Rand (MIT Sloan)

‍

Session H: Human-AI Teams

Room: ISEC 140+142

Chair: Victor Seidel

"The collaborative caring virtual testbed: a software platform for prototyping collective intelligence interventions for asynchronous care-teams"  
Andrew Kuznetsov (Carnegie Mellon University), Ping-Ya Chao (Carnegie Mellon University), Chrisopher Dishop (Carnegie Mellon University), Allen Brown (Carnegie Mellon University), Anita Williams Woolley (Carnegie Mellon University)

"Nuanced effect of human trust in AI on human-ai collaboration performance"  
Danushka Bandara (Fairfield University), Robert Dillon (Fairfield University), Noor Khattak (Fairfield University)

"Learning with AI assistance: a path to better task performance or dependence?"  
Sheer Karny (University of California, Irvine),, Lukas William Mayer (University of California, Irvine), Jackie Ayoub (Honda Research Institute), Miao Song (Honda Research Institute), Haotian Su (Honda Research Institute), Danyang Tian (Honda Research Institute), Ehsan Moradi-Pari (Honda Research Institute), Mark Steyver (University of California, Irvine)

"When are human-ai groups useful?"  
Michelle Vaccaro (MIT), Abdullah Almaatouq (MIT), Thomas Malone (MIT)

‍

Session I: Beliefs 1

Room: ISEC 136

Chair: Torben Andersen

"Using the belief landscape model to predict individual belief dynamics"  
Jianghui Li (Syracuse University), Joshua Introne (Syracuse University)

"Using artificial intelligence to accelerate collective intelligence: policy synth and smarter crowdsourcing"
Robert Bjarnason (Citizens Foundation), Dane Gambrell (The GovLab)

"Multiple AI agents that support crowd discussion"
Takayuki Ito (Kyoto University), Yihan Dong (Kyoto University), Jawad Ahmad Haqbeen (Kyoto University), Tokuro Matsuo (Advanced Institute of Industrial Technology), Sofia Sahab (Kyoto University)

‍

Session A: Wisdom of crowds

Room: Auditorium

Chair: Joshua Introne

"Evaluating News Domain Quality through a Wisdom of Expert Crowds Approach"  
‍Hause Lin (MIT), Jana Lasser (Graz University of Technology), Stephan Lewandowsky (University of Bristol), Rocky Cole (MIT), Andrew Gully (Google Jigsaw), David Rand (MIT), Gordon Pennycook (Cornell University)

‍"Estimates are not decisions: how wise crowds can make unwise choices"  
‍Jingze Wang (UCL School of Management), Joshua Becker (UCL School of Management)

‍"Leveraging advice-taking and kernel density estimation to identify a cluster of experts and improve wisdom of crowds"  
‍Yunhao Zhang (University of California, Berkeley)

‍"Averaging, Communication, and Wisdom of crowds"
‍Ulrike Hahn (Birkbeck College, University of London and Munich Center for Mathematical Philosophy (LMU)), Leon Assaad (Munich Center for Mathematical Philosophy (LMU)), Jason Burton (Copenhagen Business School)

‍

Session B: Large Language Models

Room: ISEC 140+142

Chair: Abraham Bernstein

‍"Does reading the literature improve the ability to predict the effects of interventions?"  
‍Robin Na (MIT), Abdullah Almaatouq (MIT)

‍"AI-in-the-loop expert labelling for LLM's real-world domain adaptation"  
‍Bingsheng Yao (Northeastern University), Dakuo Wang (Northeastern University)

‍"Automated social science: a structural causal model-based approach"  
‍Kehang Zhu (Harvard), Benjamin Manning (MIT), John Horton (MIT)

‍"Tripartite intelligence: synergizing deep neural network, large language model, and human intelligence for public health misinformation detection"  
‍Yang Zhang (University of Illinois at Urbana-Champaign), Rouhan Zong (University of Illinois at Urbana-Champaign), Lanyu Shang (University of Illinois at Urbana-Champaign), Zhenrui Yue (University of Illinois at Urbana-Champaign), Huimin Zeng (University of Illinois at Urbana-Champaign), Yifan Liu (University of Illinois at Urbana-Champaign), Dong Wang (University of Illinois at Urbana-Champaign)

‍

Session C: Open Source

Room: ISEC 136

Chair: Vicky Yang

"Emergent Structures and roles of and open science community during crisis: the case of OpenCovid19"
‍Camille Masselot (Universite Paris Cite, Inserm), Olga Kokshagina (Edhec Business School), Marc Santolini (Universite Paris Cite, Inserm)‍

"How can open source technology ecosystems create value? Evidence from investors' reactions to firms' github code releases"  
‍Wei Yang (China Europe International Business School)

‍"Generative AI and distributed work: evidence from open source software"  
‍Manuel Hoffman (Harvard Business School), Sam Boysel (Harvard Business School), Frank Nagle (Harvard Business School), Sida Peng (Microsoft Corporation), Kevin Xu (Github Inc.)

‍"Collective adaptation of human behavior during global crises: a COVID-19 case study"  
‍Tamanna Urmi (Northeastern University), Chris Riedl (Northeastern University), David Lazer (Northeastern University), Mauricio Santillana (Northeastern University)

‍

Session W1

Room: ISEC 138

‍

"Enhancing Hypermind Operations: Leveraging Collective Intelligence and Exploring AI Integration - A Panel Discussion"
Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍

Session D: AI Support and Creativity

Room: Auditorium

Chair: Kwong Chan

‍"Office-Mind AI: A Generative AI Tool for Gig Workers"
Christopher Curtis (Northeastern University), Seth Cooper (Northeastern University), Saiph Savage (Northeastern University)

"Towards collaborative brainstorming among humans and AI agents: an implementation of the IBIS-based brainstorming support system with multiple AI agents"
Moeka Nomura (Kyoto University), Takayuki Ito (Kyoto University), Shiyao Ding (Kyoto University)

‍"Supermind Ideator: How Scaffolding human-ai collaboration can increase creativity"
Jennifer Heyman (MIT), Steven Rick (MIT), Gianni Giacomelli (MIT), Haoran Wen (MIT), Robert Laubacher (MIT), Nancy Taubenslag (MIT), Max Knicker (Ecole Polytechnique), Younes Jeddi (Mohammed VI Polytechnic University), Pranav Ragupathy (MIT), Jared Curhan (MIT), Thomas Malone (MIT)

‍

‍

Session E: Sociality

Room: ISEC 140+142

Chair: Emily Hu

"The robust benefits of social influence for the wisdom of individuals in the crowd"
Charlie Pilgrim (University of Leeds), Joshua Becker (University College London)

"Towards unifying the understanding of social learnings' impact on collective decisions"  
Vicky Yang (MIT), Levi Grenier (MIT)

"Collective Emotional Intelligence? Social Information does not improve Group Judgement Accuracy in Emotion Judgements"  
‍Tom Taiyi (UCL School of Management), Amit Goldenberg (Harvard HBS)

‍

Session F: Mechanisms

Room: ISEC 136

Chair: Steven Sloman

"An AI-powered cross-device system to enhance group cohesion and collective intelligence at workshops" Jude Abishek Rayan (University of California, San Diego), Jinmao Wang (University of California, San Diego), Yifan Gong (University of California, San Diego), Nan Jiang (University of California, San Diego), Steven P. Dow (University of California, San Diego)

"Evaluating prediction mechanisms: a profitability test"
Rajiv Sethi (Barnard College, Columbia University), Julie Seager (Barnard College), Daniel Benjamin (Nova Southeastern University), Fred Morstatter (University of Southern California), Olivia Bobrownicki (Barnard College), Emily Cai (Columbia University), Yuqi Cheng (Barnard College), Anushka Kumar (Barnard College), Anusha Wanganoo (Barnard College)

"Full characterization of adaptively strong majority voting in crowdsourcing"  
‍Margarita Boyarskaya (NYU Stern), Panos Ipeirotis (NYU Stern)

‍"Task allocation in teams as a multi-armed bandit"
Raja Marjieh (Princeton University), Anand Gokhale (University of California Santa Barbara), Francesce Bullo (University of California Santa Barbara), Tom Griffiths (Princeton University)

‍

‍

‍

Session W1

Room: ISEC 138

‍

"Workshop on Safe AI-Enabled Systems through Collective Intelligence"
Thomas Kopinski (South Westphalia University of Applied Sciences), Justice Sefas (University of British Columbia), Michael Walters (Gaia Consortium)
‍

‍

Poster slam presentations

Room: Auditorium

‍

Teaching to Learn and Learning to Teach: Using Machine Training to Develop Artificial Intelligence Partners in Organizations"
‍Andrea Lipparini, Maurizio Sobrero and Korinzia Toniolo

‍GigSense: An LLM-Infused Tool for Workers’ Collective Intelligence
‍Kashif Imteyaz, Claudia Flores-Saviaga and Saiph Savage

‍Examining the Effects of Explainable Hints in AI-Driven Training
‍Torrence Farmer and Chien-Ju Ho

‍Automatic Evaluation of Discussion Quality using LLM Data Augmentation
‍Kazuhito Mori, Shiyao Ding, Susumu Ohnuma, Yume Souma and Takayuki Ito

‍An Empirical Study of the El Farol Bar Problem
‍Edgar Andrade-Lotero and Robert Goldstone

‍The Epistemic Potential of Adversarial Cooperation
‍Almos Molnar

‍The Impact of Technological Breakthrough on Subsequent Invention Search: Evidence from a Quasi-Experiment in Deep Learning
‍Wei Yang, Yuchen Zhang and Weiguo Zhong

‍Decoding Collective Decision-Making in a Two-Day SIGCHI-Supported HCI Workshop
‍Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye

‍KnEvol: A Simulation for Examining the Role of Social Bias in Collective Intelligence
‍Laroyce Covington and Joshua Introne

‍Large Language Models (LLMs) for Communication Disorders: Collective Intelligence from Speech Language and Hearing Science
‍Yao Du, Bingshen Yao and Dakuo Wang

‍

‍

‍

Session G: Communication

Room: Auditorium

Chair: Seth Bullock

"The echo chambers of complexity: exploring the impact of design complexity on groupthink and innovation - An experimental study"  
‍Soumyakant Padhee (Lenoir-Rhyne University), Babak Heydari (Northeastern University)

‍"Unraveling Communication mechanisms for aggregation and food exchange among honeybees"
‍Golnar Gharooni Fard (University of Colorado Boulder), Anna Rahn (University of Colorado Boulder), Richard Terrile (University of Colorado Boulder), Elizabeth Bradley (University of Colorado Boulder), Orit Peleg (University of Colorado Boulder)

‍"Multidisciplinary learning through collective performance favors decentralization"  
‍John Meluso (University of Vermont), Laurent Hebert-Dufresne (University of Vermont)

‍"Harnessing partisan motives to solve the misinformation problem"  
‍Cameron Martel (MIT Sloan), Jennifer Allen (MIT Sloan), David Rand (MIT Sloan)

‍

Session H: Human-AI Teams

Room: ISEC 140+142

Chair: Victor Seidel

"The collaborative caring virtual testbed: a software platform for prototyping collective intelligence interventions for asynchronous care-teams"  
Andrew Kuznetsov (Carnegie Mellon University), Ping-Ya Chao (Carnegie Mellon University), Chrisopher Dishop (Carnegie Mellon University), Allen Brown (Carnegie Mellon University), Anita Williams Woolley (Carnegie Mellon University)

"Nuanced effect of human trust in AI on human-ai collaboration performance"  
Danushka Bandara (Fairfield University), Robert Dillon (Fairfield University), Noor Khattak (Fairfield University)

"Learning with AI assistance: a path to better task performance or dependence?"  
Sheer Karny (University of California, Irvine),, Lukas William Mayer (University of California, Irvine), Jackie Ayoub (Honda Research Institute), Miao Song (Honda Research Institute), Haotian Su (Honda Research Institute), Danyang Tian (Honda Research Institute), Ehsan Moradi-Pari (Honda Research Institute), Mark Steyver (University of California, Irvine)

"When are human-ai groups useful?"  
Michelle Vaccaro (MIT), Abdullah Almaatouq (MIT), Thomas Malone (MIT)

‍

Session I: Beliefs 1

Room: ISEC 136

Chair: Torben Andersen

"Using the belief landscape model to predict individual belief dynamics"  
Jianghui Li (Syracuse University), Joshua Introne (Syracuse University)

"Using artificial intelligence to accelerate collective intelligence: policy synth and smarter crowdsourcing"
Robert Bjarnason (Citizens Foundation), Dane Gambrell (The GovLab)

"Multiple AI agents that support crowd discussion"
Takayuki Ito (Kyoto University), Yihan Dong (Kyoto University), Jawad Ahmad Haqbeen (Kyoto University), Tokuro Matsuo (Advanced Institute of Industrial Technology), Sofia Sahab (Kyoto University)

‍

Session A: Wisdom of crowds

Room: Auditorium

Chair: Joshua Introne

"Evaluating News Domain Quality through a Wisdom of Expert Crowds Approach"  
‍Hause Lin (MIT), Jana Lasser (Graz University of Technology), Stephan Lewandowsky (University of Bristol), Rocky Cole (MIT), Andrew Gully (Google Jigsaw), David Rand (MIT), Gordon Pennycook (Cornell University)

‍"Estimates are not decisions: how wise crowds can make unwise choices"  
‍Jingze Wang (UCL School of Management), Joshua Becker (UCL School of Management)

‍"Leveraging advice-taking and kernel density estimation to identify a cluster of experts and improve wisdom of crowds"  
‍Yunhao Zhang (University of California, Berkeley)

‍"Averaging, Communication, and Wisdom of crowds"
‍Ulrike Hahn (Birkbeck College, University of London and Munich Center for Mathematical Philosophy (LMU)), Leon Assaad (Munich Center for Mathematical Philosophy (LMU)), Jason Burton (Copenhagen Business School)

‍

Session B: Large Language Models

Room: ISEC 140+142

Chair: Abraham Bernstein

‍"Does reading the literature improve the ability to predict the effects of interventions?"  
‍Robin Na (MIT), Abdullah Almaatouq (MIT)

‍"AI-in-the-loop expert labelling for LLM's real-world domain adaptation"  
‍Bingsheng Yao (Northeastern University), Dakuo Wang (Northeastern University)

‍"Automated social science: a structural causal model-based approach"  
‍Kehang Zhu (Harvard), Benjamin Manning (MIT), John Horton (MIT)

‍"Tripartite intelligence: synergizing deep neural network, large language model, and human intelligence for public health misinformation detection"  
‍Yang Zhang (University of Illinois at Urbana-Champaign), Rouhan Zong (University of Illinois at Urbana-Champaign), Lanyu Shang (University of Illinois at Urbana-Champaign), Zhenrui Yue (University of Illinois at Urbana-Champaign), Huimin Zeng (University of Illinois at Urbana-Champaign), Yifan Liu (University of Illinois at Urbana-Champaign), Dong Wang (University of Illinois at Urbana-Champaign)

‍

Session C: Open Source

Room: ISEC 136

Chair: Vicky Yang

"Emergent Structures and roles of and open science community during crisis: the case of OpenCovid19"
‍Camille Masselot (Universite Paris Cite, Inserm), Olga Kokshagina (Edhec Business School), Marc Santolini (Universite Paris Cite, Inserm)‍

"How can open source technology ecosystems create value? Evidence from investors' reactions to firms' github code releases"  
‍Wei Yang (China Europe International Business School)

‍"Generative AI and distributed work: evidence from open source software"  
‍Manuel Hoffman (Harvard Business School), Sam Boysel (Harvard Business School), Frank Nagle (Harvard Business School), Sida Peng (Microsoft Corporation), Kevin Xu (Github Inc.)

‍"Collective adaptation of human behavior during global crises: a COVID-19 case study"  
‍Tamanna Urmi (Northeastern University), Chris Riedl (Northeastern University), David Lazer (Northeastern University), Mauricio Santillana (Northeastern University)

‍

Session W1

Room: ISEC 138

‍

"Enhancing Hypermind Operations: Leveraging Collective Intelligence and Exploring AI Integration - A Panel Discussion"
Christianah Titilope Oyewale, Samuel Kobina Gyasi and Joshua Seyi Ibitoye