Dana Calacci

According to our database, Dana Calacci authored at least 16 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rideshare Transparency: Translating Gig Worker Insights on AI Platform Design to Policy.

Varun Nagaraj Rao, Samantha Dalal, Eesha Agarwal, Dana Calacci, Andrés Monroy-Hernández

CoRR, 2024

As an AI Language Model, "Yes I Would Recommend Calling the Police": Norm Inconsistency in LLM Decision-Making.

Shomik Jain, Dan Calacci, Ashia Wilson

CoRR, 2024

QuaLLM: An LLM-based Framework to Extract Quantitative Insights from Online Forums.

Varun Nagaraj Rao, Eesha Agarwal, Samantha Dalal, Dan Calacci, Andrés Monroy-Hernández

CoRR, 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, Sandy Pentland, Kent Larson, Dan Calacci

CoRR, 2024

2023

Building Dreams Beyond Labor: Worker Autonomy in the Age of AI.

Dan Calacci

Interactions, 2023

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

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

Organizing in the End of Employment: Information Sharing, Data Stewardship, and Digital Workerism.

Dan Calacci

Proceedings of the CHIWORK 2022: Symposium on Human-Computer Interaction for Work, Durham, NH, USA, June 8, 2022

Privacy Limitations of Interest-based Advertising on The Web: A Post-mortem Empirical Analysis of Google's FLoC.

Alex Berke, Dan Calacci

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2020

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

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

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

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

2018

Rhythm: A Unified Measurement Platform for Human Organizations.

Oren Lederman, Akshay Mohan, Dan Calacci, Alex 'Sandy' Pentland

IEEE Multim., 2018

2017

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

2016

Breakout: An Open Measurement and Intervention Tool for Distributed Peer Learning Groups.

Dan Calacci, Oren Lederman, David L. Shrier, Alex 'Sandy' Pentland

CoRR, 2016

2015

A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns.

Oren Tsur, Dan Calacci, David Lazer

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015