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Sinan Aral

Sinan Aral

· David Austin Professor of Management

Massachusetts Institute of Technology · Information Technology

Active 2002–2025

h-index44
Citations25.7k
Papers13138 last 5y
Funding$476k

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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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 authorCorresponding

    Social 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 authorCorresponding

    The 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 access

    Despite 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

Frequent coauthors

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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