NIST Data Science Symposium, Mar 4-5

NIST is forming a cross-cutting data science program, focused on system benchmarking and rigorous measurement. Register for NIST Data Science Symposium by Feb 21.

Data Science Symposium

March 4-5, 2014
NIST Campus in Gaithersburg, MD

Given the explosion of data production, storage capabilities, communications technologies, computational power, and supporting infrastructure, data science is now recognized as a highly-critical growth area with impact across many sectors including science, government, finance, health care, manufacturing, advertising, retail, and others.

Since data science technologies are being leveraged to drive crucial decision making, it is of paramount importance to be able to measure the performance of these technologies and to correctly interpret their output. The NIST Information Technology Laboratory is forming a cross-cutting data science program focused on driving advancements in data science through system benchmarking and rigorous measurement science.

Below is a summary of the topics that will be addressed at the symposium. For a more complete list,
please visit:

  • Measurement methodologies, benchmarking, and common reference datasets needed to accelerate data science research and improve performance of Big Data analytic systems.
  • Primary challenges in and technical approaches to complex workflow components of Big Data systems, including ETL, lifecycle management, analytics, visualization & human-system interaction.
  • Generation of ground truth for large datasets and performance measurement with limited or no ground truth.

Ashit Talukder (NIST/ITL; Chief, Information Access Division), Craig Greenberg (NIST/ITL)

In case of questions or if you would like to be added to our mailing list, please send email to

Registration is open until Friday, February 21st at

Participants who wish to present posters that address symposium topics should submit a brief one-page abstract and brief one-paragraph bio to by Friday, February 21st.