CHDS co-sponsored a seminar on “Health Impacts of Air Quality Warnings” with the Harvard Center for Risk Analysis and the Society for Risk Analysis – New England.
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Prof. Hammitt Celebrates 25 Years
Dr. James Hammitt, Professor of Economics and Decision Sciences and Director of the Harvard Center for Risk Analysis, marks 25 years of teaching, research, and service at Harvard University.
Read more...Call for Submissions: Dissertation Award
The Society for Benefit-Cost Analysis offers its inaugural Outstanding Dissertation Award to recognize an outstanding PhD thesis dealing with the theory and/or practice
Read more...Regulating Cost-Benefit Analysis
The U.S. Environmental Protection Agency recently sought public comment for a proposal to regulate the use of cost-benefit analysis in its decision-making. CHDS Senior Research
Read more...New Cervical Cancer Guidelines
New guidelines for cervical cancer were published by the U.S Preventative Services Task Force (USPSTF) with research by Jane Kim, CHDS faculty and professor of decision science.
Read more...CHDS Receives NIH Grant for Stroke Policy
CHDS faculty Ankur Pandya was awarded funding from the National Institutes of Health to evaluate stroke prevention and treatment policies in the U.S.
Read more...Using Implementation Science
Clinical research takes an estimated 17 years before applying it to real-world scenarios, delaying access to important discoveries and advances. CHDS faculty Jane Kim
Read more...Teaching Decision Science
In conjunction with the MDM Teaching Interest Group, faculty Ankur Pandya and incoming doctoral student Lyndon James developed a framework for understanding the variety of
Read more...Myriam Hunink Teaches RDS 288
CHDS adjunct faculty Myriam Hunink is offering RDS 288: Methods for Decision Making in Medicine during the second summer session of the Program in Clinical Effectiveness.
Read more...Modeling with Real World Evidence
HSPH Adjunct Professor Uwe Siebert spoke at a CHDS lunchtime seminar on the potential bias that can accompany the use of “real world” evidence in modeling.
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