Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion

Tobin South, Samuele Marro, Thomas Hardjono, Robert Mahari, Cedric Deslandes Whitney, Dazza Greenwood, Alan Chan, Alex Pentland. "Authenticated Delegation and Authorized AI Agents." January 16, 2025.

Brynjolfsson, Erik, Alex Pentland, Nathan Persily, Condoleeza Rice, and Angela Aristidou. “Introduction: Artificial Intelligence and Democracy in America.” In The Digitalist Papers. Stanford, California: Stanford Digital Economy Lab, 2024. https://www.digitalistpapers.com/.

Tsai, Lily, and Alex Pentland. “Rediscovering the Pleasures of Pluralism: The Potential of Digitally Mediated Civic Participation.” In The Digitalist Papers. Stanford, California: Stanford Digital Economy Lab, 2024. https://www.digitalistpapers.com/.

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

Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex Pentland, Yoon Kim, Deb Roy, and Jad Kabbara. 2024. Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7194–7219, Bangkok, Thailand.

Artificial Intelligence (cs.AI), arXiv:2403.04893 [cs.AI] (or arXiv:2403.04893v1 [cs.AI] for this version) https://doi.org/10.48550/arXiv.2403.04893 | Shayne Longpre* 1 Sayash Kapoor** 2 Kevin Klyman** 3 Ashwin Ramaswami 4 Rishi Bommasani 3 Borhane Blili-Hamelin 5 Yangsibo Huang 2 Aviya Skowron 6 Zheng-Xin Yong 7 Suhas Kotha 8 Yi Zeng 9 Weiyan Shi 10 Xianjun Yang 11 Reid Southen Alexander Robey

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

E. C. Ferrer, I. Berman, A. Kapitonov, V. Manaenko, M. Chernyaev and P. Tarasov, "Gaka-Chu: A Self-Employed Autonomous Robot Artist," 2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 2023, pp. 11583-11589, doi: 10.1109/ICRA48891.2023.10160866.

Bühler, M. et al., 2023. Harnessing Digital Federation Platforms and Data Cooperatives to Empower SMEs and Local Small Communities, OBSERVER RESEARCH FOUNDATION. India.

Bahrami, Mohsen, et al. "Predicting merchant future performance using privacy-safe network-based features." Scientific Reports 13.1 (2023): 10073.

Epstein, Hertzmann, et al. "Art and the science of generative AI." Science 380.6650 (2023): 1110-1111.

Epstein, Ziv. The dynamics of attention in digital ecosystems. Diss. Massachusetts Institute of Technology, 2019.

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

Smith, A., Schroeder, H., Epstein, Z., Cook, M., Colton, S., & Lippman, A. (2023). Trash to Treasure: Using text-to-image models to inform the design of physical artefacts.

Epstein Z and Hause L. Yourfeed: Towards open science and interoperable systems for social media. arXiv.

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.

E. C. Ferrer, E. Jiménez, J. L. Lopez-Presa and J. Martín-Rueda, "Following Leaders in Byzantine Multirobot Systems by Using Blockchain Technology," in IEEE Transactions on Robotics, doi: 10.1109/TRO.2021.3104243.

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).

Adjodah, Dhaval, et al. "Accuracy-Risk Trade-Off Due to Social Learning in Crowd-Sourced Financial Predictions." Entropy 23.7 (2021): 801.

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

Pennycook, G., Epstein, Z., Mosleh, M. et al. Shifting attention to accuracy can reduce misinformation online. Nature (2021). https://doi.org/10.1038/s41586-021-03344-2

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

Epstein, Ziv, Gordon Pennycook, and David Rand. "Will the crowd game the algorithm? Using layperson judgments to combat misinformation on social media by downranking distrusted sources." (2019).

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

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

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.

Castelló Ferrer, E., Hardjono, T., & Pentland, A. (2019). Editorial: Proceedings of the First Symposium on Blockchain and Robotics, MIT Media Lab, 5 December 2018. Ledger, 4. doi:https://doi.org/10.5195/ledger.2019.179

Kapitonov, A., Lonshakov, S., Berman, I., Castelló Ferrer, E., Bonsignorio, F., Bulatov, V., & Svistov, A. (2019). Robotic Services for New Paradigm Smart Cities Based on Decentralized Technologies. Ledger, 4. doi:https://doi.org/10.5195/ledger.2019.177

Khawalid, A., Acristinii, D., van Toor, H., & Castelló Ferrer, E. (2019). Grex: A Decentralized Hive Mind. Ledger, 4. doi:https://doi.org/10.5195/ledger.2019.176

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."

Volker Strobel, Eduardo Castelló Ferrer, and Marco Dorigo. 2018. Managing Byzantine Robots via Blockchain Technology in a Swarm Robotics Collective Decision Making Scenario. In Proc. of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), Stockholm, Sweden, July 10–15, 2018, IFAAMAS

Hao H, Zhang K. The Voice of Chinese Health Consumers: A Text Mining Approach to Web-Based Physician Reviews. J Med Internet Res 2016;18(5):e108. URL: https://www.jmir.org/2016/5/e108. DOI: 10.2196/jmir.4430

Murata, Y. AlSalamah, S. A. AlSalamah, H. A. Quero, G. Gheorghiu, B. Ossebaard, H. C. (Eds.). (2018). The Tenth International Conference on eHealth, Telemedicine, and Social Medicine (eTELEMED). Rome, Italy. IARIA XPS Press.

H Hao, R Padman, B Sun, R Telang. Information Systems Research, 2018, 29(1), pp. 25–41. https://doi.org/10.1287/isre.2017.0746

Balsa-Barreiro, José and Dieter Fritsch. 2018. Generation of visually aesthetic and detailed 3D models of historical cities by using laser scanning and digital photogrammetry. Digital Applications in Archaeology and Cultural Heritage 8: 57-64.

Eduardo Castello Ferrer, Ognjen Rudovic, Thomas Hardjono, Alex Pentland, “RoboChain: A Secure Data-Sharing Framework for Human-Robot Interaction” eTELEMED 2018.

Alsalamah, S., Alsalamah, H., Gray, A. W., & Hilton, J. (2018). Information Security Threats in Patient-Centred Healthcare. In Information Management Association (Ed.), Health Care Delivery and Clinical Science: Concepts, Methodologies, Tools, and Applications (pp. 1531-1552). Hershey, PA: IGI Global. doi:10.4018/978-1-5225-3926-1.ch077.