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
The inaugural NIST Data Science Symposium will convene a diverse multi-disciplinary community of stakeholders to promote the design, development, and adoption of novel measurement science in order to foster advances in Big Data processing, analytics, visualization, interaction, and lifecycle management. It is set apart from related symposia by our emphasis on advancing data science technologies through:
The first symposium has been postponed and will now be held March 4-5, 2014 on the NIST campus in Gaithersburg, MD.
Ashit Talukder (NIST), John Garofolo (NIST), Mark Przybocki (NIST), Craig Greenberg (NIST)
Registration to attend the NIST Data Science Symposium is now open. Registration is free, but it is necessary to register in order to attend. The deadline for registration will be on or before Friday, January 10. Registration may close once the capacity of the venue is reached. Please note that only registered participants will be permitted to enter the NIST campus to attend the symposium. To register, please go to:
Call For Abstracts:
Participants who wish to give presentations of their technical perspectives or present posters (potentially with technical demonstrations) that address symposium topics should submit a brief one-page abstract and brief one-paragraph bio to firstname.lastname@example.org by January 10th, 2014. Submitters will be notified whether their perspectives have been selected for plenary or poster presentation by January 31st. Speakers, panelists, and poster presenters will be selected by the organizers based on relevance to symposium objectives and workshop balance. Due to the technical nature of the symposium, no marketing will be permitted.
Understanding the Data Science Technical Landscape:
Improving Analytic System Performance via Measurement Science
Datasets to Enable Rigorous Data Science Research
Lead Organizational Unit:itl
NIST maintains a general mailing list for our Data Science Measurement and Evaluation program:
Relevant information is posted to this list. If you would like to join the list or have any question for NIST related to our data science program, please email us at: