ATARC Federal Big Data Summit

The ATARC Federal Big Data Summit was held on December 5, 2017 at the Marriott at Metro Center in Washington, D.C.

Panelists (from left): Kirsten Dalboe (HHS OIG), Dan Morgan (DOT) and Robin Thottungal (EPA).

Some chief data officers are working with management issues and people more than they’re working with information technology, which gives them important ties to both worlds, according to experts.

“CDOs should be wherever they’re most effective,” Dan Morgan, chief data officer at the Department of Transportation said at a Dec. 5 conference hosted by the Advanced Technology Academic Research Center. (Full Story)

Government Moderator

Kevin Garrison, Chief of Analytics, Office of the Chief Information Officer, U.S. Department of Defense

7:30 a.m. 

Registration and Opening of ATARC Big Data Technology Showcase

–>Participants in ATARC Big Data Technology Showcase

8:00 a.m.
Welcome Remarks in ATARC Big Data Technology Showcase
Tom Suder, President, Advanced Technology Academic Research Center (ATARC)

8:30 a.m.
Keynote Introduction
Tom Suder, President, Advanced Technology Academic Research Center (ATARC)

8:35 a.m. – 9:00 a.m.
Visionary Keynote Briefing

Tom Sasala (speaker presentation), Chief Data Officer, U.S. Army

9:00 a.m. – 10:00 a.m.
Visionary Panel – The State of Data in the Federal Government

How are Federal agencies dealing with the exponential growth of data within the government? What types of data strategies are being developing and implemented? What impact has emerging technology had on data and analytics? This panel will examine the state of data in the Federal government.


Tom Temin, Anchor, The Federal Drive, Federal News Radio


Kirsten Dalboe
, Director, Data Operations, Office of Inspector General, U.S. Department of Health and Human Services

Dan Morgan, Chief Data Officer, U.S. Department of Transportation

Robin Thottungal, Chief Data Scientist/Director of Analytics, Environmental Protection Agency

10:00 a.m. – 10:30 a.m. 
Break in ATARC Big Data Technology Showcase

–>Participants in ATARC Big Data Technology Showcase

10:30 a.m. – 10:50 a.m.
Visionary Keynote Briefing

Kris Rowley (speaker presentation), Chief Data Officer, U.S. General Services Administration 

10:50 a.m. – 11:10 a.m.
Visionary Keynote Briefing

Kevin Garrison, Chief of Analytics, Office of the Chief Information Officer, U.S. Department of Defense

11:10 a.m. – 11:30 a.m.
Visionary Keynote Briefing

Kelly Tshibaka (speaker presentation), Chief Data Officer, Office of the Inspector General, U.S. Postal Service

11:30 a.m. – 11:50 a.m.
Visionary Keynote Briefing

Mark Krzysko (speaker presentation), Deputy Director for Enterprise Information, U.S. Department of Defense

11:50 p.m. – 1:15 p.m.
ATARC Big Data Technology Showcase

–>Participants in ATARC Big Data Technology Showcase

1:15 p.m. – 1:35 p.m.
Visionary Keynote Briefing

Adelaide O’Brien (speaker presentation), Research Director, Government Digital Transformation Strategies, IDC Government

1:35 p.m. – 1:45 p.m.
Logistics for MITRE-ATARC Big Data Collaboration Symposium

1:45 p.m. – 3:45 p.m.
Collaboration Sessions

3:45 p.m. – 4:00 p.m.
Break for Out Brief Preparation

4:00 p.m. – 4:30 p.m.
Session Out Briefs

4:30 p.m. – 6:00 p.m.
ATARC Reception

MITRE-ATARC Big Data Collaboration Symposium

The MITRE-ATARC Big Data Collaboration Symposium features discussion and white-boarding between government and industry subject matter experts in a small-group setting. The outcomes of these sessions will be compiled in a White Paper with recommendations to the government.


1. Emerging Technologies in Big Data & Analytics
There are a wide range of emerging technologies in the data and analytics space and this session will examine a variety of topics including Artificial Intelligence, Machine Learning and Virtual Reality.

Government Lead

Marc R. Wine, Senior Adviser, U.S. Department of Veterans Affairs, Office of Information and Technology


Dr. Haleh Vafaie, Group Leader, MITRE

2. Big Data & Security Technologies
The Federal government must properly secure the vast amount of data that is being transmitted and received by its many agencies. This session will examine the tools and technologies that are being used to secure agency data and maintain the crucial privacy information of U.S. citizens.

Government Lead

Renata Spinks, Senior Advisor to the Director Enterprise Program Controls (EPC), Enterprise Program Management Office, Internal Revenue Service

Industry Lead

Shaunak Ashtaputre, 
Information Technology thought leader, Karsun Solutions


Anne Tall, Lead Information Security Engineer

3. Big Data Landscape
As the Federal Government enters the new Fiscal Year, what is the data and analytics landscape for government agencies? This session will examine the current state of Big Data and where things are heading in the coming year.

Government Lead

Joshua Gustin, Manager, Communication, Information, & Network Programs, Federal Aviation Administration

Industry Lead

Jonathan Janos, 
Technical Advisor, MapR


Anuja Verma, Principal Systems Engineer

4. Leveraging Big Data for Mission Success
This session will investigate the mission context for Big Data by examining a set of audience-inspired use cases, the operational and analytical challenges inherent in them, and the opportunities in the Big Data ecosystem to resolve those challenges, and will produce a set of recommendations for stakeholders in Government organizations, academia, and industry for advancing the state of the art in mission performance enhancement via Big Data solutions.

Industry Lead

Frank A. Romano,
Federal Solutions Engineer, Hortonworks


Ron Campbell, Group Lead, MITRE

5. Big Data & Healthcare
Big Data is characterized as having high volume, velocity, variety, variability, veracity, and value. DoD, VA, and the private sector continue to generate large amounts of data. This data needs to be mined to provide actionable insight to improve service to service members and veterans alike regardless of the point of care. The flow of shared data and/or shared analytics needs to flow among the three constituents efficiently and economically with the goal of providing improved patient outcomes. Even within each constituent’s area there will remain some variations in technology, data, and analytics platforms, standards, and capabilities.

Meeting emerging data needs requires new technologies and analytics. The Defense Health as well as Veteran’s Affairs not only work with their respective architecture pillar but also with multiple external vendors in order to provide quality care for their respective patient population. Shared analytics is one way of leveraging standardization among Big Data users.

Sharing analytics by “prescription” may enable better privacy and security via mobile health platforms. Discussions are underway regarding standards and adherence to regulations put forth by the regulatory body of government.

With opportunities to leverage mobile shared analytics use cases from the previous ATARC session, we can explore how analytic interoperability is possible with data model design.

Therefore, some of the Big Data challenges to be addresses include:

• What are the practical strategies for minimizing and/or removing impediments to shared data and shared analytics? For example, sharing patient data and analytics while maintaining patient confidentiality, integrity, and availability

• What emerging trends will allow us to extract maximum value from the Big Data that each constituent group possesses? For example, mobile health platforms, and shared analytics

• What concrete steps can we take to realize the benefits of shared data and shared analytics? For example, IEEE and ISO standards for data models and analytic models, technical reference models, data and analytic registries, and Analytics as a Service (AaaS)

Government Lead

Yvonne Cole, Chief Engineer/Co-Lead for Interagency Coordination, Department of Defense/Department of Veterans Affairs Interagency Program Office (DoD/VA IPO)

Industry Lead

Rashmi Mathur, 
Partner, IBM


Richard Eng, Associate Department Head, Applied Software Engineering Technical Center, MITRE


1.   Participants should come prepared to:

  • Contribute and participate from specific domain/experience
  • Share ideas and build off each other’s contributions
  • Support the session facilitators and other team members
  • Write down ideas on whiteboard
  • Create best practices to support the event’s objectives and goals
  • Refrain from sales or business development conversations

2.   All discussed material must be publicly releasable

  • No Classified discussions
  • No proprietary discussions

3.   None of the discussions or artifacts constitute Government direction, nor should be interpreted as official Government position

ATARC Big Data Technology Showcase | December 2017

ATARC Media & Strategic Partners