Second Big Data workshop fosters connections across disciplines at Texas A&M University

The second annual Big Data workshop was held recently at Texas A&M University to foster connections across disciplines that intersect this area and help people to continue to identify opportunities for collaboration. The workshop was comprised of 27 short talks from speakers from across the university, organized in thematic sessions with time for discussion. The sessions encompassed Big Data in Sensing and Social Applications; Environment, Resources and Power; Materials; Cybersecurity; and Bioinformatics, Medicine & Health Sciences. Participants also discussed broader issues for big data research in the university, including infrastructure support, computational resources and availability of data for collaboration. There were over 90 registered attendees.

Many researchers across Texas A&M have current or emerging research interests in big data methods, systems or applications, and there are currently opportunities at the federal level for major funding of cross-disciplinary projects in data science.

Building on the first workshop held last year, Dr. Nick Duffield, professor in the Department of Electrical and Computer Engineering and director of the Texas A&M Engineering Big Data Initiative, and Dr. Dilma Da Silva, head of the Department of Computer Science and Engineering, organized the workshop to continue to build community amongst big data researchers at Texas A&M.

Since the first workshop, interdisciplinary teams from Texas A&M have submitted proposals for funding opportunities including the NSF BIGDATA and NSF Big Data Spokes programs. In order to help researchers better position themselves for these and other opportunities, the Texas A&M Engineering Experiment Station (TEES), in partnership with the Texas A&M Division of Research, Texas A&M AgriLife Research, Texas A&M Health Science Center (TAMHSC) and the Texas A&M Transportation Institute (TTI), has awarded nearly $350,000 in seed grant funding to seven interdisciplinary research teams for big data.

“Texas A&M is positioned to lead in applications of big data in its disciplinary areas of strength, not only in research, but by leveraging its network of cross-sector partnerships to realize the benefits of big data applications more widely,” said Duffield. Texas A&M will host a conference on “Advances in Big Data Modeling, Computation and Analytics,'' on Sept.22-24, which will feature leading researchers and practitioners in the field.

The 2016 workshop program, including slides for some presentations, can be found at