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Principles of Data-Driven Decision Making

Symposium and Webcast

 

September 14, 2017

 


Keck 100

500 Fifth St. NW
Washington, DC 20001

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The abundance of large and complex data, coupled with powerful modeling techniques and analytic methods, creates tremendous opportunity for organizations and individuals to base their decisions on empirical evidence.  However, to appreciate both the capabilities and limitations of these data and tools, decision makers need some understanding of data science principles.  We invite you to attend our upcoming symposium and webcast on data-driven decision making that will take place on September 14, 2017 at the Keck Center in Washington, DC.  The event will highlight simple principles that can support data-driven decision making and help decision makers learn the right questions to ask when presented with new analyses.

 

 

Download the symposium agenda

 

Download Checklist for Data Managers in Federal Agencies

 

Watch the entire symposium webcast recording

 

Symposium Agenda, Presentations, and Videos

 

9:00 a.m.  Welcome and Context: Strengthening Data Science Methods for DOD Personnel and Readiness Missions

Stephen Robinson, University Wisconsin Madison
Video

 

9:05 a.m.  Introduction to the Workshop and the Promise and Challenges of Data-Driven Decision Making

Stephanie Shipp, Biocomplexity Institute of Virginia Tech
Presentation - Video

 

9:25 a.m.  Opening Keynote

David Yokum, The Lab @ DC
Video

 

10:05 a.m.  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. Ask if there are other methods available and if they give similar results.

Introduction
Joe Langsam, University of Maryland
Video

Description of the Decision Context -- Policing and Crime in Albuquerque
Scott Darnell, Albuquerque Innovation Team
Presentation - Video

Description of Case Study -- Policing Analytics in Albuquerque
David Higdon, Biocomplexity Institute of Virginia Tech
Presentation - Video (talk begins at 29:56)

Panel Discussion
Video

 

11:20 a.m.  Break

 

11:35 a.m.  Principle 2:  Know Your Population and Ask if the Data Match.  Ask what the ideal data would be or what the ideal experiment to collect that data would be, and ask how and why the available data is different.

Introduction
Stephanie Shipp, Biocomplexity Institute of Virginia Tech
Video

Description of the Decision Context -- Military Health Care Benefit Design
Christopher Meyer, Center for Naval Analyses
Presentation - Video

Description of Case Study -- Accurate Population Modeling for Military Benefits
Sarah Burns, Institute for Defense Analyses
Presentation - Video

Panel Discussion
Video

 

12:50 p.m.  Lunch

 

1:35 p.m.  Principle 3:  Ask how your data drives the decision.  Ask what the decision tradeoffs are.

Introduction
Bill Strickland, HumRRO
Video

Description of the Decision Context -- IBM Workforce Management
Chid Apte, IBM Research Division
Presentation - Video

Description of Case Study -- Prescriptive Analytics for IBM's Workforce
Mark Squillante, IBM Research Division
Presentation - Video

Panel Discussion
Video

 

2:50 p.m.  Break

 

3:05 p.m.  Closing Keynote--Recommendations from the Commission on Evidence-Based Policymaking

Robert Shea, Grant Thornton LLP and member Commission on Evidence-Based Policymaking
Presentation - Video

 

3:35 p.m.  Closing Keynote--The Organizational Perspective

Fred Oswald, Rice University
Presentation - Video - Q&A Video

 

4:05 p.m.  Open Discussion
Video

 

5:00 p.m.  Adjourn