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Research Overview

Collectively, the faculty of Management Science and Engineering have deep expertise in two major disciplines: quantitative modeling (and related algorithms) and the behavioral sciences. Our dual focus is unique among our peer departments and creates a platform for building innovative knowledge, tools and techniques useful to firms, non-profit organizations and government. 

Our faculty and students currently pursue research in eight broad areas: organizations, technology and entrepreneurship; systems modeling and optimization; economics and finance; decision and risk analysis; production and operations; probability and stochastic systems; strategy and policy; and information science and technology.

Department centers, workgroups, labs and teams

MS&E is home to several research centers and groups:

  • The Asia Center is dedicated to research and education on the economic, environmental and social development of Asian countries.
  • The Center for Financial and Risk Analysis (CFRA) pioneers models, algorithms and numerical tools to address the challenges that arise in an environment of expanding regulatory initiatives;  growing complexity of financial products, markets and institutions; and increased demand for innovative analytics at organizations and supervisory agencies.
  • The Center for Work, Technology and Organization (WTO) specializes in basic and applied research on how work is changing and on designing more effective organizations and technologies.
  • The Energy Modeling Forum (EMF) seeks to improve the use of energy and environmental policy models for making important corporate and government decisions.
  • The Engineering Risk Research Group (ERRG) uses mathematical modeling, systems analysis and probabilistic methods to discover cost-effective approaches to reducing risk in complex systems in areas such as medical operations and devices, national security and the strategy of financial firms.
  • Operations Research @ Stanford develops mathematical tools for addressing important problems such as communication network management, statistical learning, supply-chain management, pricing and revenue management, financial engineering, market design, bio-informatics, production scheduling, energy and environmental policy, and transportation.
  • The Social Algorithms Lab (SOAL) combines computer science and algorithms with social science and economics in response to two recent trends: the rise of more powerful information technology and algorithms, and an increase in networked social and economic interactions.  
  • The Stanford Decisions and Ethics Center aims to promote research on decision analysis, voluntary social systems and ethical analysis.
  • Stanford Technology Ventures Program (STVP) is dedicated to accelerating high-technology entrepreneurship education and creating scholarly research on technology-based firms.
  • The Systems Optimization Laboratory (SOL) conducts basic and applied research on large-scale mathematical programming, including algorithmic development and analysis, model formulation and software production.