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Agenda Overview – PAW for Government –October 17 - 20, 2016

Day 1, Monday, October 17, 2016
8:00-9:00am REGISTRATION
Room: Independence Foyer
BREAKFAST
Room: Independence Foyer
9:00-9:15am WELCOME REMARKS
Room: Independence A
9:15-10:00am
KEYNOTE
21st Century Data-Driven Environmental Protection
Robin Thottungal, Chief Data Scientist @ EPA
Room: Independence A
10:00-10:30am BREAK
Room: Independence Foyer
  Track 1
Room: Independence GHI
Track 2
Room: Independence A
Mini Course Technical Track
Limited seating available
Room: Franklin
10:30-11:20am

The Application of Predictive Policing with Police Helicopters
Patrick van Vliet, Captain, Business Intelligence Center, The National Police of The Netherlands
Floris Korteweg, Analysis Specialist, The National Police of The Netherlands
Enhancing Search Results Relevance Using Word2Vec Language Models
John Herzer,
Enterprise Search Project Lead &
Pengchu Zhang, Computer Scientist, Sandia National Laboratories
Building a Durable Data Foundation for an Analytical Environment
Lewis Broome, Principal Consultant, Data Services Practice Lead !mpact Makers
11:25am-12:10pm

Harnessing the Power of Predictive Analytics for Technology Risk Management
Jennifer Dubois, Director, Operations & Technology Risk Analytics, Fannie Mae
Characteristics for Those Claiming Social Security
Benefits Early

Dae Park, Assistant Director &
Vijay D'Souza, Director, Government Accountability Office (GAO)
Data Munging/Wrangling with R
Kenny Darrell, Lead Data Scientist, Elder Research, Inc.
12:10-1:00pm LUNCH
Room: Independence Foyer
1:00-1:45pm
KEYNOTE
Implementing Predictive Analytics at CMS: Lessons Learned and Future Directions
Dr. Shantanu Agrawal, Deputy Administrator for Program Integrity & Director,
Center for Program Integrity, Centers for Medicare & Medicaid Services (CMS)
Room: Independence A
1:45-2:30pm PLENARY SESSION
Doing Space-Age Analytics with Our Hunter-Gatherer Brains
Dr. John Elder, CEO & Founder, Elder Research, Inc.
Room: Independence A
2:30-3:00pm BREAK
Room: Independence Foyer
  Track 1
Room: Independence GHI
Track 2
Room: Independence A
Mini Course Technical Track
Limited seating available
Room: Franklin
3:00-3:45pm
Consumer Financial Protection Bureau: Understanding Consumer Experience in the Financial Products and Services Marketplace through Complaint Analytics
Chad Tompkins, Data Section Chief, Office of Consumer Response, Consumer Financial Protection Bureau
Vishal Kapur, Prinipal, Deloitte Consulting LLC
Towards Analytics Maturity in a Regulatory Agency
Matthew Keir, Senior Analyst, Market Analytics, New Zealand Electricity Authority
How Do You Know When Your Model Is Good?
Wayne Folta, Data Scientist, Elder Research, Inc.
3:50-4:35pm
Reducing Flight Delays Through Predictive Analytics
Paola Libraro, Booz Allen Hamilton
Predicting HIV Transmission Networks
Ravi Goyal, Statistician, Mathematica Policy Research
Data Visualization Even Your Boss Can Understand
Andrew Lutes, Data Scientist & David Marx, Data Scientist, Elder Research, Inc.
4:35-5:45pm NETWORKING RECEPTION
Room: Independence Foyer

Day 2, Tuesday, October 18, 2016
7:30-8:30am REGISTRATION
Room: Independence Foyer
BREAKFAST
Room: Independence Foyer
8:30-8:45am WELCOME REMARKS
Room: Independence A
8:45-9:30am
KEYNOTE
Reinventing Refund Rhetoric: Using Predictive Analytics to Fight Fraud
Rick Reames, Director, South Carolina Department of Revenue
Room: Independence A
9:30-10:05am Roadmap to Analytics Excellence in Government
Jane Wiseman, Senior Fellow, Harvard University
Room: Independence A
10:05-10:30am BREAK
Room: Independence Foyer
  Track 1
Room: Independence GHI
Track 2
Room: Independence A
Mini Course Technical Track
Limited seating available
Room: Franklin
10:30-11:20am

Words that Matter: Application of Text Analytics at the U.S. Commodity Futures Trading Commission
Miguel Castillo, Assistant Inspector General for Audit, U.S. Commodity Futures Trading Commission
Antuane Allen, Specialist, Sanametrix
Infer and Characterize the Transmission Network in An Opioid-driven HIV-1 Outbreak
Ryan Weil, Ph.D, Principal Scientist, Lockheed Martin
Network Analysis for Fraud Detection with Open-Source Tools
Ryan McGibony, Data Scientist, Elder Research, Inc.
11:25am-12:10pm

Building a Highly Functioning Analytics Team
Rachel Sullivan, Program Analyst, GSA Office of Human Resources Management
Expertise Identification with Data Analytics
Dann Barnes, SMTS & Gary Huang, Sandia National Laboratories
Data Visualizations with R and Shiny
Brittany Pugh, Data Scientist, Elder Research, Inc.
12:05-1:00pm LUNCH
Room: Independence Foyer
1:00-1:45pm
KEYNOTE
IARPA's Forecasting Tournaments

Dr. Jason Matheny, Director, IARPA, Intelligence Advanced Research Projects Activity
Room: Independence A
1:45-2:30pm PLENARY SESSION
Tax Fraud Analytics in Maryland -- The Evolution, Challenges, and Rewards

Andy Schaufele, Director, Bureau of Revenue Estimates, Maryland Comptroller of the Treasury
Room: Independence A
2:30-3:00pm BREAK
Room: Independence Foyer
  Track 1
Room: Independence GHI
Track 2
Room: Independence A
Mini Course Technical Track
Limited seating available
Room: Franklin
3:00-3:45pm
Link Analysis: A New Perspective for the IRS
Brock Ramos, Office of Program Evaluation and Risk Analysis, IRS
Identifying Prescription Drug Fraud and Abuse
Jaya Tripathi, Lead Scientist for Data Analytics, MITRE
Analytics with Apache Spark
Dave Saranchak, Data Scientist, Elder Research, Inc.
3:50-4:35pm
Having a Data Science Mindset
Michael Li, CEO, The Data Incubator
Advanced Analytics to Catch Sophisticated Fraudsters
Weishin Wang, Bureau Chief of the Bureau of Fraud Science and Technology, Illinois Department of Healthcare and Family services, Office of Inspector General
Brien Lorenze, Principal, Deloitte Advisory
Dan Olson, CFE, Senior Manager, Deloitte Advisory
Building Better Models Using Robust Data Mining Methods
Tom Donnelly, Systems Engineer, SAS JMP
4:40-5:00pm Closing Remarks
Room: Independence A

Post-Conference Workshop: Wednesday, October 19, 2016
Full-day Workshop • Room: Declaration AB
The Best and the Worst of Predictive Analytics:
Predictive Modeling Methods and Common Data Mining Mistakes

Dr. John Elder, Elder Research, Inc.

Post-Conference Workshop: Thursday, October 20, 2016
Full-day Workshop • Room: Declaration AB
Making Text Mining Work: Practical Methods and Solutions
Dr. Andrew Fast, Elder Research Inc.

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Program by: Elder Research, Inc.
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