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Learn More About Isabella Loaiza
Isabella Loaiza is a computational social scientist at the MIT Sloan School of Management who is committed to building an equitable and sustainable future of work. Her research especially focuses on understanding the impact of technology on the future workforce. She also explores AI’s impact on work, workers, and organizational talent practices, with a human-centered approach that emphasizes human-AI complementarities.
Loaiza’s research ultimately seeks to understand and address social inequities. Some of her key research interests include automation and augmentation dynamics, skilling and reskilling, labor inequalities, and sustainable skills. By using computational methods, network science, and statistical techniques, Loaiza creates insights that empower individual workers and entire workforces.
Loaiza’s previous contributions focused on using digital trace data to address social and policy questions. She earned her MS and Ph.D. at the MIT Media Lab while working with renowned researcher Alex Pentland.
Isabella Loaiza is available to advise your organization via virtual and in-person consulting meetings, interactive workshops and customized keynotes through the exclusive representation of Stern Speakers & Advisors, a division of Stern Strategy Group®.
The EPOCH of AI: Human-Machine Complementarities at Work
(MIT-Sloan School of Management, December 2024)
Are Neighbourhood Amenities Associated With More Walking and Less Driving? Yes, but Predominantly for the Wealthy
(Environment and Planning B: Urban Analytics and City Science, May 2023)
COVID-19 Policy Analysis: Labour Structure Dictates Lockdown Mobility Behaviour
(Journal of the Royal Society Interface, March 2021)
Agent-Based Simulation in Management and Organizational Studies: A Survey
(European Journal of Management and Business Economics, October 2017)