Measuring Fine-Grained Multidimensional Integration Using Mobile Phone Metadata: The Case of Syrian Refugees in Turkey. - Michiel A. Bakker; Daoud A. Piracha; Patricia J. Lu; Keis Bejgo; Mohsen Bahrami; Yan Leng; José Balsa-Barreiro; Julie Ricard; Alfredo Jose Morales; Vivek K. Singh 001; Burçin Bozkaya; Selim Balcisoy; et al. (Data for Refugees Challenge, 2019)

Active Fairness in Algorithmic Decision Making. - Alejandro Noriega-Campero; Michiel A. Bakker; Bernardo Garcia-Bulle; Alex 'Sandy' Pentland (AIES, 2019)

VizML: A Machine Learning Approach to Visualization Recommendation. - Kevin Zeng Hu; Michiel A. Bakker; Stephen Li; Tim Kraska; César A. Hidalgo 001 (CHI, 2019)

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository. - Kevin Zeng Hu; Snehalkumar (Neil) S. Gaikwad; Madelon Hulsebos; Michiel A. Bakker; Emanuel Zgraggen; César A. Hidalgo 001; Tim Kraska; Guoliang Li 001; Arvind Satyanarayan; Çagatay Demiralp (CHI, 2019)

Sherlock: A Deep Learning Approach to Semantic Data Type Detection. - Madelon Hulsebos; Kevin Zeng Hu; Michiel A. Bakker; Emanuel Zgraggen; Arvind Satyanarayan; Tim Kraska; Çagatay Demiralp; César A. Hidalgo 001 (KDD, 2019)

DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning. - Michiel A. Bakker; Duy Patrick Tu; Humberto Riverón Valdés; Krishna P. Gummadi; Kush R. Varshney; Adrian Weller; Alex Pentland (CoRR, 2019)

Fair Enough: Improving Fairness in Budget-Constrained Decision Making Using Confidence Thresholds. - Michiel A. Bakker; Humberto Riverón Valdés; Duy Patrick Tu; Krishna P. Gummadi; Kush R. Varshney; Adrian Weller; Alex Pentland (SafeAI@AAAI, 2020)

Algorithmic targeting of social policies: fairness, accuracy, and distributed governance. - Alejandro Noriega-Campero; Bernardo Garcia-Bulle; Luis Fernando Cantu; Michiel A. Bakker; Luis Tejerina; Alex Pentland (FAT*, 2020)

Assessing Disease Exposure Risk With Location Histories And Protecting Privacy: A Cryptographic Approach In Response To A Global Pandemic. - Alex Berke; Michiel A. Bakker; Praneeth Vepakomma; Ramesh Raskar; Kent Larson; Alex 'Sandy' Pentland (CoRR, 2020)

Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds. - Michiel A. Bakker; Duy Patrick Tu; Krishna P. Gummadi; Alex 'Sandy' Pentland; Kush R. Varshney; Adrian Weller (AIES, 2021)

Modelling Cooperation in Network Games with Spatio-Temporal Complexity. - Michiel A. Bakker; Richard Everett 001; Laura Weidinger; Iason Gabriel; William S. Isaac; Joel Z. Leibo; Edward Hughes 001 (AAMAS, 2021)

Statistical discrimination in learning agents. - Edgar A. Duéñez-Guzmán; Kevin R. McKee; Yiran Mao; Ben Coppin; Silvia Chiappa; Alexander Sasha Vezhnevets; Michiel A. Bakker; Yoram Bachrach; Suzanne Sadedin; William Isaac 001; Karl Tuyls; Joel Z. Leibo (CoRR, 2021)

Fine-tuning language models to find agreement among humans with diverse preferences. - Michiel A. Bakker; Martin J. Chadwick; Hannah Sheahan; Michael Henry Tessler; Lucy Campbell-Gillingham; Jan Balaguer; Nat McAleese; Amelia Glaese; John Aslanides; Matt M. Botvinick; Christopher Summerfield (NeurIPS, 2022)

How will advanced AI systems impact democracy? - Christopher Summerfield; Lisa Argyle; Michiel A. Bakker; Teddy Collins; Esin Durmus; Tyna Eloundou; Iason Gabriel; Deep Ganguli; Kobi Hackenburg; Gillian K. Hadfield; Luke Hewitt; Saffron Huang; et al. (CoRR, 2024)

AI and the Future of Digital Public Squares. - Beth Goldberg; Diana Acosta-Navas; Michiel A. Bakker; Ian Beacock; Matthew Botvinick; Prateek Buch; Renee DiResta; Nandika Donthi; Nathanael Fast; Ravi Iyer; Zaria Jalan; Andrew Konya; et al. (CoRR, 2024)

Using collective dialogues and AI to find common ground between Israeli and Palestinian peacebuilders. - Andrew Konya; Luke Thorburn; Wasim Almasri; Oded Adomi Leshem; Ariel D. Procaccia; Lisa Schirch; Michiel A. Bakker (FAccT, 2025)

Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking. - Soham De; Michiel A. Bakker; Jay Baxter; Martin Saveski (WWW, 2025)

Language Agents as Digital Representatives in Collective Decision-Making. - Daniel Jarrett; Miruna Pîslar; Michiel A. Bakker; Michael Henry Tessler; Raphael Köster; Jan Balaguer; Romuald Elie; Christopher Summerfield; Andrea Tacchetti (CoRR, 2025)

Value Profiles for Encoding Human Variation. - Taylor Sorensen; Pushkar Mishra; Roma Patel; Michael Henry Tessler; Michiel A. Bakker; Georgina Evans; Iason Gabriel; Noah D. Goodman; Verena Rieser (CoRR, 2025)

Scaling Human Judgment in Community Notes with LLMs. - Haiwen Li; Soham De; Manon Revel; Andreas Haupt; Brad Miller 003; Keith Coleman; Jay Baxter; Martin Saveski; Michiel A. Bakker (CoRR, 2025)