Washington Capital Area Chapter Workshop

The ICEAA Washington Capital Area Chapter is pleased to announce a day-long workshop featuring a series of invited speakers offering their perspectives on a subject that continues to prompt debate among cost analysis professionals:

Big Data – What’s the Big Deal?

RSVP at www.iceaaonline.com/wdcrsvp

Invited Speakers:

March 20, 2019 DC Workshop Agenda

Date: March 20, 2019
Location: The event will be held at The Boeing Company facility located at 929 Long Bridge Drive, Arlington, VA 22002.

ICEAA members and non-members are welcome to attend this free workshop! The agenda will include notable speakers from different functional communities sharing their responses to an interrelated set of questions that support the theme.

CCEA Certificants: attendance at this event earns 6 hours of training credit towards your re-certification!

Thanks to our generous sponsors!

     

Lunch

Attendees will have 1 hour and 15 minutes for lunch. While there are some restaurants within walking distance, due to the limited time we highly recommend that you pre-purchase a boxed lunch that will be delivered to the conference room.

Boxed lunches are available for $12 and must be purchased in advance. Boxed lunches include a sandwich, chips, whole fruit, and a cookie. Lunches must be purchased by March 14. Additional boxes will not be available onsite.

To purchase a boxed lunch, log in to the ICEAA Portal and choose Register/Shop from the left menu bar, and scroll down to find the DC Workshop Lunch Order icon. Non-ICEAA members will need to create a user profile to purchase their lunch online.

If you need assistance logging in or purchasing a lunch, please contact iceaa@iceaaonline.org.

Local Restaurants

  • Rice Bar (0.1 miles/5 minutes) 1235 S Clark St, Arlington, VA 22202
  • Soho Cafe (0.2 miles/6 minutes) 1215 S Clark St, Arlington, VA 22202
  • Whole Foods Market (0.3 miles / 6 minutes) 520 12th St S #100, Arlington, VA 22202
  • Jefferson Cafe (0.3 miles/6 minutes) 1421 Jefferson Davis Hwy, Arlington, VA 22202
  • Gallery Café (0.7 miles/12 minutes) 1215 S. Clark St. Arlington, VA 22202

 

Speaker Bios

Mr. Mark Krzysko

Mr. Mark Krzysko’s focus is on transforming the way the Department thinks about and uses data related to the business of defense acquisition. As the senior executive for all aspects of management of the Department’s acquisition data, Mark leads data governance, provides access to data, and delivers and supports data science initiatives to enable acquisition analysis and decision making across the Department.

Ms. Pamela Wood

Finding New Dimensions in Cost Estimating

Pamela Wood is an Engineering Specialist in the Integrated Cost and Schedule Analysis Department at The Aerospace Corporation. In addition to being a CCEA, Ms. Wood holds a B.S. degree in Industrial and Systems Engineering from Virginia Tech and a M.S. degree in Data Analytics Engineering from George Mason. Having spent the last 13+ years providing technical consulting in the areas of cost, organizational, data, and intelligence analysis for a variety of agencies within the Federal Government, Ms. Wood possesses a unique and inspiring perspective on the use of data and data analytic techniques to resolve challenges in our everyday work.

Mr. Brian Wright

Conditions for Effective Use of Machine Learning

Brian Wright graduated from the University of Tennessee, Knoxville with a BS in Economics in 2002. Brian went on to receive a Master’s Degree in Public Administration before being awarded a fellowship in 2005 with the Department of Defense. Brian worked for various Naval commands, including an appointment to the Vice Chief of the Navy’s operational staff, OpNav, where he helped to analyze and reform strategic management processes.

Brian returned to his alma mater to work for the National Defense Business Institute, NDBI. Serving as the Assistant Director for NDBI he focused on day-to-day operations, grant proposals and government-sponsored research. Brian worked on numerous data-driven projects including manpower analysis and acquisition cost assessments using both traditional statistical modeling and machine learning approaches. During this time Brian completed a PhD in Higher Education. His dissertation focused on first-generation student engagement that utilized 10 years of student survey data.

Currently, Brian serves as a Director and Faculty member for the Data Science program inside George Washington University’s Columbian College of Arts and Sciences. He is responsible for managing the day-to-day needs of the program to include recruitment and retention of students, developing strategic partnerships, identifying/managing faculty, curriculum development and the pursuit of sponsored research opportunities. His research focuses on the future of work with applications in education and healthcare. He also founded GW’s Data Science Institute and serves as Vice President for DC Data Community one of the country’s largest data focused networking groups.

Ms. Elizabeth Bodine-Baron

Opportunities and Challenges of Publicly Available Data

Elizabeth Bodine-Baron is an engineer specializing in complex networks and systems at the RAND Corporation. She is the associate director of the Force Modernization and Employment Program in Project Air Force and co-directs the RAND Center for Applied Network Analysis and System Science. Her research interests include network analysis and modeling for both domestic and national security issues. Her recent work for the United States Air Force includes analysis of cybersecurity, logistics, targeting and intelligence policy. She has used network analysis of social media data to study CVE messaging, Russian propaganda, ISIS support and opposition networks, CENTCOM information operations, and US Army recruiting efforts. Bodine-Baron received a B.S. in electrical engineering and a B.A. in liberal arts (Plan II Honors) from the University of Texas at Austin in 2006, and a Ph.D. in electrical engineering from California Institute of Technology in 2012.

Ms. Lorraine Feury

Data Science Cost Estimating Challenges: Cut Your Time in Hack!

Lorraine Feury is a Data Scientist in Booz Allen Hamilton’s Data Science and Machine Intelligence group and Certified Six Sigma Green Belt. She is focused on facilitating and fostering ergonomic processes that provide innovative data science approaches and solutions. Lorraine has also developed life cycle cost analysis that advised multiple decision makers within the U.S. Navy. Her predictive analogous and parametric models managed cost performance and risk of current and future U.S. Navy ships.

Mr. Brian Fitzpatrick

Brian Fitzpatrick is the Chief of Cost Analysis for the Air Force Rapid Capabilities Office and holds CCEA and CDFM-A certifications. Mr. Fitzpatrick received a B.A. degree in Philosophy from CalState Sacramento, and is a Distinguished Graduate of the Air Force Institute of Technology where he earned a M.S. in Cost Estimating and a M.S. in Logistics and Supply Chain Management. Currently a National Defense University Graduate Fellow with the Center for the Study of Weapons of Mass Destruction, his recent research has focused on developing a quantitative predictive model to forecast nuclear proliferation.

Directions

Getting to the Boeing 929 Long Bridge Facility:
The facility is conveniently located in Arlington, at the northern end of Crystal City near the Pentagon, at 929 Long Bridge Drive, Arlington, VA 22202. Paid street parking is available around the building. Paid parking is also available at various nearby garages, such as 201 12th Street South, 1225 South Clark Street, and 1350 Crystal Drive. The facility is also accessible by Metro (20 min walk from the Crystal City station or via the ART 92 Crystal City – Long Bridge/Boeing – Pentagon bus).

Walking directions from the Crystal City Metro Station (20 minute walk, mostly underground):
• Take the blue or yellow line to CRYSTAL CITY.
• Exit the Metro. After going up the escalators, make a RIGHT turn. Go through glass doors and up two small flights of stairs into the underground shopping complex.
• Directly ahead (about 20 yards) there is a “T” intersection. Turn LEFT. At Auntie Anne’s pretzel shop, turn RIGHT. (down hall with many shops). Walk to the next intersection and turn LEFT to walk through the tunnels (decorated with flowers).
• Walk approximately 10 minutes (brisk) through the halls – painted with flowers. At the end of the hall, veer RIGHT up a ram (only way to go). When at the top of the ramp, there is an ATM machine in the middle of the intersection. Turn LEFT.
• Continue walking (pass several eateries, hair salon, fitness center) and continue into the next building. Pass SoHo Café on the right and continue until reaching the end of the walkway and building.
• Exit the building and turn LEFT walking the sidewalk to the traffic light.
• At corner turn RIGHT, crossing the street onto Long Bridge Drive. Walk 1 block and the destination will be on the right.