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Presentations - 2014 NIST Data Science Symposium
Challenges and Gaps in Data Science Technologies
Doug Cutting
Chief Architect, ClouderaThe Future of Data
Pak Chung Wong
Chief Scientist, Pacific Northwest National LaboratoryTop Challenges of Extreme-Scale Visual Analytics
Volker Markl
Professor, TU BerlinData Science from a Data Management Perspective
Data and Use Cases for Data Science Research
Philip Ashlock
Chief Architect, Data.gov, GSADatasets that Enable Rigorous Data Science Research
Michael Hurley
Technical Staff, MIT Lincoln Laboratory
Information Theoretic Evaluation of Data Processing Systems
Chesley Richards
CDC Deputy Director for Public Health Scientific Services
Public Health Data, Challenges and Opportunities
The NIST Data Science Program and Symposium Objectives
Ashit Talukder and Craig Greenberg
Data Science Benchmarking and Measurement
Thomas Karl
Director, NOAA's National Climatic Data CenterClimate Archives in NOAA: Challenges and Opportunities
Shahram Ghandeharizadeh
Director of Database Lab Computer Science Department, University of Southern CaliforniaBenchmarking Interactive Social Networking Actions
Shashi Shekhar
McKnight Distinguished University ProfessorSpatial Data Science: Challenges & Opportunities
Milind Bhandarkar
Chief Scientist, Pivotal SoftwareDeep Analytics Pipeline: A Benchmark Proposal
Keynote
Francine Berman
Chair, Research Data Alliance / U.S.
Got Data? Sustaining the Engine for Data-Driven Innovation
Government panel
Michael Huerta
Associate Director, National Library of MedicineThe NIH Big Data to Knowledge Initiative
Lucy Nowell
Program Manager, Department of EnergyScience & Data at Extreme Scale
Stephen Dennis
Innovation Director, HSARPADepartment of Homeland Security Science & Technology - Big Data Analytics
Xiaoming Huo
NSF Program DirectorNSF Funding Opportunities in Data Science
Breakout reports
Data Science Benchmarking & Performance Measurement
Datasets and Use Cases for Data Science Research
Challenges and Gaps in Data Science Technologies
Focus Group: Automated Metadata and Ontologies for Heterogeneous Data
Focus Group: HCI and Data Science
Focus Group: Big Data Analytics for Smart Manufacturing Systems