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2020 – today
- 2024
[i9]Alex Berke, Robert Mahari, Sandy Pentland, Kent Larson, Dan Calacci:
Insights from an experiment crowdsourcing data from thousands of US Amazon users: The importance of transparency, money, and data use. CoRR abs/2404.13172 (2024)- [i8]Varun Nagaraj Rao, Eesha Agarwal, Samantha Dalal, Dan Calacci, Andrés Monroy-Hernández
:
QuaLLM: An LLM-based Framework to Extract Quantitative Insights from Online Forums. CoRR abs/2405.05345 (2024) - [i7]Shomik Jain, Dan Calacci, Ashia Wilson:
As an AI Language Model, "Yes I Would Recommend Calling the Police": Norm Inconsistency in LLM Decision-Making. CoRR abs/2405.14812 (2024) - [i6]Varun Nagaraj Rao, Samantha Dalal, Eesha Agarwal, Dana Calacci, Andrés Monroy-Hernández:
Rideshare Transparency: Translating Gig Worker Insights on AI Platform Design to Policy. CoRR abs/2406.10768 (2024) - 2023
- [j4]Dan Calacci:
Building Dreams Beyond Labor: Worker Autonomy in the Age of AI. Interactions 30(6): 48-51 (2023) - 2022
- [j3]Dan Calacci, Alex Pentland:
Bargaining with the Black-Box: Designing and Deploying Worker-Centric Tools to Audit Algorithmic Management. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-24 (2022) - [j2]Dan Calacci, Jeffrey J. Shen, Alex Pentland:
The Cop In Your Neighbor's Doorbell: Amazon Ring and the Spread of Participatory Mass Surveillance. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-47 (2022) - [c4]Alex Berke, Dan Calacci:
Privacy Limitations of Interest-based Advertising on The Web: A Post-mortem Empirical Analysis of Google's FLoC. CCS 2022: 337-349 - [c3]Dan Calacci:
Organizing in the End of Employment: Information Sharing, Data Stewardship, and Digital Workerism. CHIWORK 2022: 14:1-14:9 - [i5]Alex Berke, Dan Calacci:
Privacy Limitations Of Interest-based Advertising On The Web: A Post-mortem Empirical Analysis Of Google's FLoC. CoRR abs/2201.13402 (2022) - 2020
- [c2]Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, P. M. Krafft, Esteban Moro, Alex Pentland:
Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning. AAMAS 2020: 1738-1740
2010 – 2019
- 2019
- [i4]Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, Peter M. Krafft, Esteban Moro, Alex Pentland:
Communication Topologies Between Learning Agents in Deep Reinforcement Learning. CoRR abs/1902.06740 (2019) - [i3]Dan Calacci, Alex Berke, Kent Larson, Alex Pentland:
The tradeoff between the utility and risk of location data and implications for public good. CoRR abs/1905.09350 (2019) - 2018
- [j1]Oren Lederman, Akshay Mohan, Dan Calacci, Alex 'Sandy' Pentland:
Rhythm: A Unified Measurement Platform for Human Organizations. IEEE Multim. 25(1): 26-38 (2018) - 2017
- [i2]Oren Lederman, Dan Calacci, Angus MacMullen, Daniel C. Fehder, Fiona E. Murray, Alex 'Sandy' Pentland:
Open Badges: A Low-Cost Toolkit for Measuring Team Communication and Dynamics. CoRR abs/1710.01842 (2017) - 2016
- [i1]Dan Calacci, Oren Lederman, David L. Shrier, Alex 'Sandy' Pentland:
Breakout: An Open Measurement and Intervention Tool for Distributed Peer Learning Groups. CoRR abs/1607.01443 (2016) - 2015
- [c1]Oren Tsur, Dan Calacci, David Lazer:
A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns. ACL (1) 2015: 1629-1638
Coauthor Index
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