Dana Calacci

Dana Calacci is an Assistant Professor at the College of Information Sciences and Technology, affiliated with the Institute for Computational and Data Sciences (ICDS). Their research focuses on labor autonomy in digital economies, data governance for gig workers, and algorithmic transparency, drawing on interdisciplinary methods from computer science and social sciences.

Calacci’s work explores the intersection of technology and labor, particularly through studies on crowdsourced platforms like Amazon and Shipt. Key themes include monetary incentives, worker-driven data analysis, and collective bargaining in the gig economy. They also investigate the ethical implications of AI on worker autonomy and digital platform regulation.

Their recent publications examine:

• Empirical studies of gig workers’ responses to algorithmic pay changes
• Large-scale crowdsourced purchase history datasets
• Collective data governance frameworks for labor rights
• AI’s impact on future of work

Calacci actively collaborates with interdisciplinary teams, including researchers from computational sciences and legal studies, to address workplace transparency and equitable digital labor practices.

As part of ICDS, they contribute to advancing computational approaches for complex societal challenges, particularly in digital platform regulation and worker empowerment. Their research aligns with UN Sustainable Development Goals related to decent work and economic growth.