
Sinan Aral
· David Austin Professor of ManagementMassachusetts Institute of Technology · Information Technology
Active 2002–2025
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About
Sinan Aral is the Director of the MIT Initiative on the Digital Economy (IDE) and a Professor at the MIT Sloan School of Management. He leads the IDE, which focuses on research related to the digital economy, including areas such as applied AI, technology-driven organizations, digital culture, data analytics, AI in marketplaces and labor economics, AI in financial markets and decision making, data privacy, and human-first AI. As a faculty member at MIT Sloan, Aral contributes to advancing understanding of how digital technologies impact economic and social systems. His leadership role at the IDE positions him at the forefront of interdisciplinary research exploring the intersection of technology, economics, and management.
Research topics
- Political Science
- Business
- Computer Science
- Economics
- Engineering ethics
- Medicine
- Social psychology
- Microeconomics
- Psychology
- Data science
Selected publications
Computational social science: Obstacles and opportunities
Science · 2020 · 413 citations
Data sharing, research ethics, and incentives must improve
Interdependence and the cost of uncoordinated responses to COVID-19
Proceedings of the National Academy of Sciences · 2020 · 207 citations
Senior authorCorrespondingSocial distancing is the core policy response to coronavirus disease 2019 (COVID-19). But, as federal, state and local governments begin opening businesses and relaxing shelter-in-place orders worldwide, we lack quantitative evidence on how policies in one region affect mobility and social distancing in other regions and the consequences of uncoordinated regional policies adopted in the presence of such spillovers. To investigate this concern, we combined daily, county-level data on shelter-in-p…
A causal test of the strength of weak ties
Science · 2022 · 198 citations
Senior authorCorrespondingThe authors analyzed data from multiple large-scale randomized experiments on LinkedIn's People You May Know algorithm, which recommends new connections to LinkedIn members, to test the extent to which weak ties increased job mobility in the world's largest professional social network. The experiments randomly varied the prevalence of weak ties in the networks of over 20 million people over a 5-year period, during which 2 billion new ties and 600,000 new jobs were created. The results provided e…
Providing normative information increases intentions to accept a COVID-19 vaccine
Nature Communications · 2023-01-09 · 65 citations
articleOpen accessDespite the availability of multiple safe vaccines, vaccine hesitancy may present a challenge to successful control of the COVID-19 pandemic. As with many human behaviors, people's vaccine acceptance may be affected by their beliefs about whether others will accept a vaccine (i.e., descriptive norms). However, information about these descriptive norms may have different effects depending on the actual descriptive norm, people's baseline beliefs, and the relative importance of conformity, social…
Global survey on COVID-19 beliefs, behaviours and norms
Nature Human Behaviour · 2022-05-23 · 63 citations
article
Recent grants
CAREER: Social and Economic Consequences of Information Diffusion in Networks
NSF · $476k · 2010–2014
Frequent coauthors
- 37 shared
Erik Brynjolfsson
National Bureau of Economic Research
- 33 shared
Marshall W. Van Alstyne
Boston University
- 20 shared
Dean Eckles
Data & Society Research Institute
- 16 shared
Paramveer S. Dhillon
- 15 shared
David Holtz
University of California, Berkeley
- 14 shared
D. Walker
Chapman University
- 12 shared
Sean J. Taylor
- 12 shared
Lev Muchnik
Hebrew University of Jerusalem
Labs
Awards & honors
- Microsoft Faculty Fellowship
- PopTech Science Fellowship
- NSF CAREER Award
- Fulbright Scholarship
- Jamieson Award for Teaching Excellence (MIT Sloan)
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