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Kirk Borne
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  • Fairfax, VA
  • United States
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Profile Information

Booz-Allen Hamilton
Management Consulting
Short Bio:
Dr. Kirk Borne is a data scientist and an astrophysicist. He is Principal Data Scientist in the Strategic Innovation Group at Booz-Allen Hamilton since 2015. He was Professor of Astrophysics and Computational Science in the George Mason University (GMU) School of Physics, Astronomy, and Computational Sciences during 2003-2015. He served as undergraduate advisor for the GMU Data Science program and graduate advisor to students in the Computational Science and Informatics PhD program. Prior to that, he spent nearly 20 years supporting NASA projects, including NASA's Hubble Space Telescope as Data Archive Project Scientist, NASA's Astronomy Data Center, and NASA's Space Science Data Operations Office. He has extensive experience in large scientific databases and information systems, including expertise in scientific data mining. He was a contributor to the design and development of the new Large Synoptic Survey Telescope (LSST), for which he contributed in the areas of science data management, informatics and statistical science research, galaxies research, and education and public outreach.
LinkedIn Profile:
Networking, New venture

Latest Activity

Kirk Borne replied to Arunansu Pattanayak's discussion Data Science Techniques to eliminate False Negatives
"Remember that a False Positive (FP) or False Negative (FN) is essentially caused by the output variable (the classification) overlapping in low-dimension feature space of input variables. Thus, one way to reduce FP and FN is to introduce higher…"

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Kirk Borne's Blog

Smart Cities at the Nexus of Emerging Data Technologies and You

Posted on September 18, 2016 at 9:00am 0 Comments


One of the most significant characteristics of the evolving digital age is the convergence of technologies. That includes information management (databases), data…


A Plethora of Open Data Repositories (i.e., thousands!)

Posted on August 30, 2015 at 2:09pm 0 Comments

Open data repositories are valuable for many reasons, including:

(1) they provide a source of insight and transparency into the domains and organizations that are represented by the data sets;

(2) they enable value creation across a variety of domains, using the data as the “fuel” for innovation, government transformation, new ideas, and new businesses;

(3) they offer a rich variety of data sets for data scientists to sharpen their data mining, knowledge discovery, and…


Meta Collection of Data Science and Big Data Analytics Best Practices, Lessons Learned, and Success Stories

Posted on August 5, 2015 at 10:57am 0 Comments

The following list of collections of collections of Data Science and Big Data Analytics Best Practices, Lessons Learned, and Success Stories is an updated version of a previous list posted here.

The flood of articles, webinars, and conferences related to Big Data is generating its own "infoglut". Consequently, it is really helpful when you find resources that…


Dummies for Data Science - A Reading List

Posted on July 30, 2015 at 4:30am 2 Comments

There are two new books in the "... For Dummies" series that are targeted to our profession: "Data Science For Dummies" by Lillian Pierson, and "Data Mining for Dummies" by …



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