Dear All,
The National Academies Committee on Applied and Theoretical Statistics (CATS) has organized a 9/14 symposium, "
Principles of Data-Driven Decision Making": http://sites.nationalacademies.org/DEPS/BMSA/DEPS_180903.
The agenda is pasted below.
Best,
Steve
9:00 AM Introduction to the workshop and the promise and challenges of data driven
decision making
Stephanie Shipp, Biocomplexity Institute of Virginia Tech
9:20 AM Opening Keynote
-David Yokum, The Lab at DC
10:00 AM Principle 1: Question the data and analysis pipeline. Ask about uncertainty in
the data and analysis. Ask what assumptions were made and ask if the model can
be validated? Are there other ways to methods available and do they give similar
results?
Description of decision context and constraints-Policing Albuquerque
-Scott Darnell, City of Albuquerque
Description of case study-Analytics for policing
-David Higdon, Biocomplexity Institute of Virginia Tech
Panel discussion
11:15 AM Break
11:30 AM Principle 2: Know your population and ask if the data matches. Ask what the
ideal data would be (or ideal experiment to get that data) and ask how and why
your data is different.
Description of the decision context-Military health care benefit design
-TBD
Description of case study-Analyses for accurate population modeling
-Sarah K. Burns, Institute for Defense Analysis
Panel discussion
12:45 PM Lunch
1:30 PM Principle 3: Ask how your data drives a decision
Description of decision context and constraints-Workforce management at IBM
-Chid Apte, IBM
Description of case study-Prescriptive Analytics for IBMs Workforce
-Mark Squillante, IBM
Panel discussion
2:45 PM Break
3:00 PM Closing keynote presentation-The Federal Perspective
-Robert Shea, Commission on Evidence-Based Policymaking
3:30 PM Closing keynote presentation-The Organizational Perspective
-Fred Oswald, Rice University
4:00 PM Open Discussion
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Steve Pierson
Director of Science Policy
American Statistical Association
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