麻豆村

麻豆村
Dietrich College of Humanities and Social Sciences  ›  Social and Decision Sciences  ›  Research

Social and Decision Science Research at Carnegie Mellon

Interdisciplinary research advancing theory, empirical methods, and policy-relevant insights into human judgment and social systems.

Research in SDS draws on psychology, economics, sociology, and data science to address fundamental questions and real-world challenges, including public policy and organizational decision making.

Graduate and undergraduate students participate in research, working closely with internationally distinguished faculty and engaging with methodological innovation.

SDS research is organized through several interdisciplinary centers and laboratories focused on decision making, risk perception, behavior, and data-driven social science.

Explore each center’s projects, faculty, and opportunities for collaboration

Research Focus Areas

Our faculty and students collaborate on cutting-edge projects that span

  • behavioral decision research,
  • experimental economics,
  • technology and innovation,
  • international relations,
  • and complex adaptive social systems.

These areas are unified by a shared emphasis on theory development, empirical testing, and methodological rigor.

Hear from Professor Simon DeDeo about research and undergraduate involvement in SDS (<2 min)

Research Centers and Labs

AI Institute for Societal Decision Making

The NSF AI-SDM brings together AI and social sciences researchers to develop human-centric AI for societal good that harnesses the power of data and an improved understanding of human decisions to create better and more trusted choices.

Professors Chapman and Gonzalez

The CBDR is an interdisciplinary research center that brings together scholars from behavioral economics, psychology, organizational behavior, marketing, and public policy. 

Professors Acquisti and Loewenstein

Center for Risk Perception and Communication

The main goals of the center are to bring together researchers interested in studying risk perception and risk communication, to establish a common framework within which these researchers can communicate and collaborate, and to bring our collective expertise to a diverse set of risk-related projects.

Professors Downs and Chapman

The D3 Lab uses data to understand and improve how different groups experience student success, thriving, and sense of belonging at 麻豆村.

Professors Manke, Jarbo and Kaufman

Dynamic Decision Making Laboratory

The DDMLab combines laboratory experiments with cognitive computational models to understand and improve human decision making in dynamic environments.

Professor Gonzalez