Dr. Richard C Larson
Professor (Post-Tenure) of Engineering Systems
Primary DLC
Institute for Data, Systems and Society
MIT Room:
E17-365
Areas of Interest and Expertise
Advanced Technology and Pedagogy for Distance and Local Learning
Operations Research Applied to Private and Public Service Systems
Transportation and Logistics
Psychology of Queueing
Queueing Theory
Disease Dynamics
Workforce Analysis
Operations Research Applied to Private and Public Service Systems
Transportation and Logistics
Psychology of Queueing
Queueing Theory
Disease Dynamics
Workforce Analysis
Research Summary
Professor Larson’s career has focused his operations research and systems expertise on a wide variety of problems, in both public and private sectors. He is author, co-author or editor of six books and author or co-author of over 175 scientific articles, primarily in the fields of urban service systems (esp. emergency response systems), disaster planning, pandemics, queueing, logistics, technology-enabled education, smart-energy houses and workforce planning. His first book, Urban Police Patrol Analysis (MIT Press, 1972) was awarded the Lanchester Prize of the Operations Research Society of America (ORSA). He is co-author, with Amedeo Odoni, of the widely used Urban Operations Research, Prentice Hall, 1981 (over 1,000 citations). Larson’s research on queues has not only resulted in new computational techniques (e.g., the Queue Inference Engine – an early example of data-driven research and the Hypercube Queueing Model – 740 citations), but has also been covered extensively in national and international media.
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Projects
December 17, 2009Institute for Data, Systems and Society
Flu 101
Principal Investigator Richard Larson
February 5, 2009Institute for Data, Systems and SocietyMIT BLOSSOMS: Blended Learning Open Source Science or Math Studies
Principal Investigator Richard Larson
November 13, 2003Institute for Data, Systems and SocietyLearning International Network Consortium (LINC)
Principal Investigator Richard Larson
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Books
Publication date: July 25, 2023Books
Model Thinking for Everyday Life: How to Make Smarter Decisions