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Longpre, S., Mahari, R., Chen, A. et al. A large-scale audit of dataset licensing and attribution in AI. Nat Mach Intell 6, 975–987 (2024). https://doi.org/10.1038/s42256-024-00878-8
Alex Berke, Robert Mahari, Sandy Pentland, Kent Larson, and Dana Calacci. 2024. Insights from an experiment crowdsourcing data from thousands of US Amazon users: The importance of transparency, money, and data use. Proc. ACM Hum.-Comput. Interact. 8, CSCW2, Article 466 (November 2024), 48 pages. https://doi.org/10. 1145/3687005
Berke, A., Calacci, D., Mahari, R. Yabe, T., Larson, K., & Pentland, S. Open e-commerce 1.0, five years of crowdsourced U.S. Amazon purchase histories with user demographics. Sci Data 11, 491 (2024). https://doi.org/10.1038/s41597-024-03329-6
Alex Berke, Tobin South, Robert Mahari, Kent Larson, and Alex Pentland. 2024. Poster: zkTax: A Pragmatic Way to Support Zero-Knowledge Tax Disclosures. In Proceedings of Conference on Computer and Communications Security (CCS’24). ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3658644.3691421
Caicedo, H.H., Darrow, J.J., Caicedo, J.C. et al. Prioritizing Early Disease Intervention. Ther Innov Regul Sci 57, 1148–1152 (2023). https://doi.org/10.1007/s43441-023-00569-3
Hawkins, R.D., Berdahl, A.M., Pentland, A.‘. et al. Flexible social inference facilitates targeted social learning when rewards are not observable. Nat Hum Behav (2023). https://doi.org/10.1038/s41562-023-01682-x
Yuan, Y., Jahani, E., Zhao, S. et al. Implications of COVID-19 vaccination heterogeneity in mobility networks. Commun Phys 6, 206 (2023). https://doi.org/10.1038/s42005-023-01325-7
Bühler, M. et al., 2023. Harnessing Digital Federation Platforms and Data Cooperatives to Empower SMEs and Local Small Communities, OBSERVER RESEARCH FOUNDATION. India.
Epstein, Hertzmann, et al. "Art and the science of generative AI." Science 380.6650 (2023): 1110-1111.
Braley, A., Lenz, G.S., Adjodah, D. et al. Why voters who value democracy participate in democratic backsliding. Nat Hum Behav (2023). https://doi.org/10.1038/s41562-023-01594-w
Yabe, T., Bueno, B.G.B., Dong, X. et al. Behavioral changes during the COVID-19 pandemic decreased income diversity of urban encounters. Nat Commun 14, 2310 (2023). https://doi.org/10.1038/s41467-023-37913-y
Aleta, Alberto, et al. "Quantifying the importance and location of SARS-CoV-2 transmission events in large metropolitan areas." PNAS, Vol. 119 | No. 26. June 13, 2022. https://doi.org/10.1073/pnas.211218211
Epstein, Ziv, et al. "Social influence leads to the formation of diverse local trends." Proceedings of the ACM on Human-Computer Interaction 5.CSCW2 (2021): 1-18.
Pentland, Alex, Alexander Lipton, and Thomas Hardjono. "Building the New Economy." MIT Press.
Moro, E., Calacci, D., Dong, X. et al. Mobility patterns are associated with experienced income segregation in large US cities. Nat Commun 12, 4633 (2021). https://doi.org/10.1038/s41467-021-24899-8
E. C. Ferrer, T. Hardjono, A. S. Pentland, M. Dorigo, Secure and secret cooperation in robot swarms. Sci. Robot. 6, eabf1538 (2021).
D. Adjodah, et al (2021) Association between COVID-19 Outcomes and Mask Mandates, Adherence, and Attitudes, PLOS ONE, doi: https://doi.org/10.1371/journal.pone.0252315
E. Moro, et al (2021) Universal resilience patterns in labor markets, Nature Communications, 12(1972), DOI:https://doi.org/10.1038/s41467-021-22086-3
H. Rahnama, M. Alirezaie, and A. Pentland (2021) A Neural-Symbolic Approach for User Mental Modeling: A Step Towards Building Exchangeable Identities, AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering
Heroy Samuel, Loaiza Isabella, Pentland Alex and O’Clery Neave 2021COVID-19 policy analysis: labour structure dictates lockdown mobility behaviourJ. R. Soc. Interface.182020103520201035 http://doi.org/10.1098/rsif.2020.1035
D. M. J. Lazer, A. Pentland, et al (2020). Computational social science: Obstacles and opportunities, Science, 369 (6507), pp. 1060-1062, DOI: 10.1126/science.aaz8170
Abhimanyu Dubey and Alex Pentland. Kernel methods for cooperative contextual bandits. International Conference on Machine Learning, 2020.
Abhimanyu Dubey and Alex Pentland. Robust algorithms for multiagent bandits with heavy tails. International Conference on Machine Learning, 2020.
Dubey, A., & Pentland, A. (2020). Differentially-Private Federated Linear Bandits. Advances in Neural Information Processing Systems 33.
Almaatouq, Abdullah, Alejandro Noriega-Campero, Abdulrahman Alotaibi, P. M. Krafft, Mehdi Moussaid, and Alex Pentland. "Adaptive social networks promote the wisdom of crowds." Proceedings of the National Academy of Sciences, May 2020, 201917687; DOI: 10.1073/pnas.1917687117.
Leng, Yan. Collective Behavior over Social Networks with Data-driven and Machine Learning Models. Diss. Massachusetts Institute of Technology, 2020.
Abhimanyu Dubey and Alex Pentland. Private and byzantine-proof cooperative decision-making. In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, pages 357–365, 2020.
N. Oliver, et al.(2020) Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle, Science Advances, pp.1-10. DOI: 10.1126/sciadv.abc0764
M. Salganik, et al (2020) Measuring the predictability of life outcomes with a scientific mass collaboration, Proceedings of the National Academy of Sciences, 117 (15), pp. 8398-8403, DOI:10.1073/pnas.1915006117
Alex Berke, Michiel Bakker, Praneeth Vepakomma, Kent Larson, Alex `Sandy' Pentland. (March 31 2020). "Assessing Disease Exposure Risk with Location Data: A Proposal for Cryptographic Preservation of Privacy." Retrieved from https://arxiv.org/pdf/2003.14412
Somin, S., Altshuler, Y., Gordon, G., Pentland, A., Shmueli, E. (2020).Network Dynamics of a Financial Ecosystem. Scientific Reports 10, 4587, pp.1-10.
Noriega Campero, A. (2019). Human and Artificial Intelligence in Decision Systems for Social Development (Doctoral dissertation, Massachusetts Institute of Technology).
Calacci, Dan, Alex Berke, Kent Larson, Sandy Pentland. "The tradeoff between the utility and risk of location data and implications for public good." Presented at the Oxford & London School of Economics Connected Life conference. (2019). https://arxiv.org/abs/1905.09350
Marrocco, L., Ferrer, E. C., Bucchiarone, A., Grignard, A., Alonso, L., Larson, K., & Pentland, A. (2018, July). BASIC: Towards a Blockchained Agent-Based SImulator for Cities. In International Workshop on Massively Multiagent Systems (pp. 144-162). Springer, Cham.
Rahwan, Iyad, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, et al. “Machine Behaviour.” Nature 568, no. 7753 (April 2019): 477. https://doi.org/10.1038/s41586-019-1138-y.
Yuan, Yuan, Ahmad Alabdulkareem, and Alex Pentland. "An interpretable approach for social network formation among heterogeneous agents." Nature Communications 9.1 (2018): 4704.
A. L. Alfeo et al., "Urban Swarms: A new approach for autonomous waste management," 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2019, pp. 4233-4240.
T. Nishikata, T. Hardjono and A. Pentland, Social Capital Accounting, October 2018.
Noriega-Campero, A., Bakker, M., Garcia-Bulle, B., & Pentland, A. (2018). Active Fairness in Algorithmic Decision Making. arXiv preprint arXiv:1810.00031.
Sun, Huaiyi Cici, Dan Calacci, and Alex Sandy Pentland. "Patterns of Interaction Predict Social Role in Online Learning."
Eduardo Castello Ferrer, Ognjen Rudovic, Thomas Hardjono, Alex Pentland, “RoboChain: A Secure Data-Sharing Framework for Human-Robot Interaction” eTELEMED 2018.
Remo Manuel Frey, Gabriel A. Miller, Alexander Ilic, Elgar Fleisch, Alex 'Sandy' Pentland. 2017. Wild Animals in Daily Life. 38th International Conference on Information Systems (ICIS 2017), Seoul, South Korea
Remo Manuel Frey, Thomas Hardjono, Christian Smith, Keeley Erhardt, Alex 'Sandy' Pentland. 2017. Secure Sharing of Geospatial Wildlife Data. 4th International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data (GeoRich’17), Chicago, IL, USA
Jian Gao, Bogang Jun, Alex Pentland, Tao Zhou, and Cesar A. Hidalgo. Collective Learning in China's Regional Economic Development. arXiv:1703.01369, 2017.
Jian Gao, Bogang Jun, Alex Pentland, Tao Zhou, and Cesar A. Hidalgo. Collective Learning in China's Regional Economic Development. arXiv:1703.01369, 2017.
Peter Krafft, Michael Macy, Sandy Pentland. (2017). Bots as Virtual Confederates: Design and Ethics. The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW).
Ali Nahm, Sandy Pentland, Peter Krafft. (2016). Inferring Population Preferences via Mixtures of Spatial Voting Models. The 8th International Conference on Social Informatics (SocInfo).
Almaatouq, A., Prieto-Castrillo, F. and Pentland, A., 2016, November. Mobile Communication Signatures of Unemployment. In International Conference on Social Informatics (pp. 407-418). Springer International Publishing.
Y. Leng, A. Noriega, A.S. Pentland, I. Winder, N. Lutz, L. Alonso: "Analysis of Tourism Dynamics and Special Events through Mobile Phone Metadata". 2016. Proceedings of Data for Good Exchange (D4GX) 2016. New York, NY.
Y. Leng, L. Rudolph, A.S. Pentland, J. Zhao, H.N. Koutsopolous: "Managing travel demand: Location recommendation for system eciency based on mobile phone data". 2016. Proceedings of Data for Good Exchange (D4GX) 2016. New York, NY.
Peter Krafft, Julia Zheng, Wei Pan, Nicolás Della Penna, Yaniv Altshuler, Erez Shmueli, Joshua B. Tenenbaum, and Alex Pentland. (2016). Human collective intelligence as distributed Bayesian inference. arXiv:1608.01987.
Almaatouq, Abdullah, Erez Shmueli, Mariam Nouh, Ahmad Alabdulkareem, Vivek K. Singh, Mansour Alsaleh, Abdulrahman Alarifi, and Anas Alfaris. "If it looks like a spammer and behaves like a spammer, it must be a spammer: analysis and detection of microblogging spam accounts." International Journal of Information Security 15, no. 5 (2016): 475-491.
Lederman, O., Calacci, D., MacMullen, A., Fehder, D. C., Murray, F. E., & Pentland, A. ". (2016). Open Badges: A Low-Cost Toolkit for Measuring Team Communication and Dynamics, 2016 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation , Washington DC, USA, June 28-July 1, 2016.
Krafft, Peter M., Chris L. Baker, Alex "Sandy" Pentland, and Joshua B. Tenenbaum. (2016). Modeling Human Ad Hoc Coordination. The Thirtieth AAAI Conference on Artificial Intelligence (AAAI).
Lederman, O. "Hacking Innovation - Group Dynamics in Innovation Teams"
de Montjoye Y.-A. "Computational Privacy: Towards Privacy-Conscientious Uses of Metadata"
A. Alshamsi, F. Pianesi, B. Lepri, A. Pentland, I. Rahwan
Peter Krafft, Robert Hawkins, Alex Pentland, Noah Goodman, and Joshua Tenenbaum. (2015). Emergent Collective Sensing in Human Groups. Annual Conference of the Cognitive Science Society (CogSci).
Almaatouq, Abdullah, et al. "Twitter: who gets caught? observed trends in social micro-blogging spam." Proceedings of the 2014 ACM conference on Web science. ACM, 2014.
Mani, A. "Bilateral Exchanges in Social Networks and the Design of Public Institutions"
A. Mani, I. Rahwan, A. Pentland
Rutherford, A., Cebrian, M., Dsouza, S., Moro, E., Pentland, A., Rahwan, I. (2013) "Limits of Social Mobilization", Proceedings of the National Academy of Sciences, vol. 110, no. 16, pp. 6281-6286
Krumme, K. "How Predictable modeling rates of change in individuals and populations"
Wen Dong, Bruno Lepri, Taemie Kim, Fabio Pianesi, Alex 'Sandy' Pentland
Wen Dong, Katherine Heller, Alex 'Sandy' Pentland
Y. Altshuler, W. Pan, A. Pentland