A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns. - Oren Tsur; Dan Calacci; David Lazer (ACL (1), 2015)

Breakout: An Open Measurement and Intervention Tool for Distributed Peer Learning Groups. - Dan Calacci; Oren Lederman; David L. Shrier; Alex 'Sandy' Pentland (CoRR, 2016)

Open Badges: A Low-Cost Toolkit for Measuring Team Communication and Dynamics. - Oren Lederman; Dan Calacci; Angus MacMullen; Daniel C. Fehder; Fiona E. Murray; Alex 'Sandy' Pentland (CoRR, 2017)

Rhythm: A Unified Measurement Platform for Human Organizations. - Oren Lederman; Akshay Mohan; Dan Calacci; Alex 'Sandy' Pentland (IEEE Multim., 2018)

Communication Topologies Between Learning Agents in Deep Reinforcement Learning. - Dhaval Adjodah; Dan Calacci; Abhimanyu Dubey; Anirudh Goyal; Peter M. Krafft; Esteban Moro; Alex Pentland (CoRR, 2019)

The tradeoff between the utility and risk of location data and implications for public good. - Dan Calacci; Alex Berke; Kent Larson; Alex Pentland (CoRR, 2019)

Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning. - Dhaval Adjodah; Dan Calacci; Abhimanyu Dubey; Anirudh Goyal; P. M. Krafft; Esteban Moro; Alex Pentland (AAMAS, 2020)

Privacy Limitations of Interest-based Advertising on The Web: A Post-mortem Empirical Analysis of Google's FLoC. - Alex Berke; Dan Calacci (CCS, 2022)

Organizing in the End of Employment: Information Sharing, Data Stewardship, and Digital Workerism. - Dan Calacci (CHIWORK, 2022)

Bargaining with the Black-Box: Designing and Deploying Worker-Centric Tools to Audit Algorithmic Management. - Dan Calacci; Alex Pentland (Proc. ACM Hum. Comput. Interact., 2022)

The Cop In Your Neighbor's Doorbell: Amazon Ring and the Spread of Participatory Mass Surveillance. - Dan Calacci; Jeffrey J. Shen; Alex Pentland (Proc. ACM Hum. Comput. Interact., 2022)

Building Dreams Beyond Labor: Worker Autonomy in the Age of AI. - Dan Calacci (Interactions, 2023)

As an AI Language Model, "Yes I Would Recommend Calling the Police": Norm Inconsistency in LLM Decision-Making. - Shomik Jain; Dana Calacci; Ashia Wilson (AIES (1), 2024)

Insights from an Experiment Crowdsourcing Data from Thousands of US Amazon Users: The importance of transparency, money, and data use. - Alex Berke; Robert Mahari; Alex Pentland; Kent Larson; Dana Calacci (Proc. ACM Hum. Comput. Interact., 2024)

QuaLLM: An LLM-based Framework to Extract Quantitative Insights from Online Forums. - Varun Nagaraj Rao; Eesha Agarwal; Samantha Dalal; Dana Calacci; Andrés Monroy-Hernández (NAACL (Findings), 2025)

Rideshare Transparency: Translating Gig Worker Insights on AI Platform Design to Policy. - Varun Nagaraj Rao; Samantha Dalal; Eesha Agarwal; Dana Calacci; Andrés Monroy-Hernández (Proc. ACM Hum. Comput. Interact., 2025)

Evaluating Amazon Effects and the Limited Impact of COVID-19 With Purchases Crowdsourced from US Consumers. - Alex Berke; Dana Calacci; Alex Pentland; Kent Larson (CoRR, 2025)

FairFare: A Tool for Crowdsourcing Rideshare Data to Empower Labor Organizers. - Dana Calacci; Varun Nagaraj Rao; Samantha Dalal; Catherine Di; Kok-Wei Pua; Andrew Schwartz; Danny Spitzberg; Andrés Monroy-Hernández (CoRR, 2025)

Measuring risks inherent to our digital economies using Amazon purchase histories from US consumers. - Alex Berke; Kent Larson; Sandy Pentland; Dana Calacci (CoRR, 2025)

FareShare: A Tool for Labor Organizers to Estimate Lost Wages and Contest Arbitrary AI and Algorithmic Deactivations. - Varun Nagaraj Rao; Samantha Dalal; Andrew Schwartz; Amna Liaqat; Dana Calacci; Andrés Monroy-Hernández (CoRR, 2025)