The Texas A&M Institute of Data Science (TAMIDS) hosted an intensive four-day workshop on 17-20th September 2019 for 15 PhD students selected from around the Texas A&M University campus interested in learning about methods of Computational / Artificial Intelligence and applying these to their research. The workshop was led by Dr. Fernando Buarque de Lima Neto, Head of Computational Intelligence and Associate Professor at the University of Pernambuco-Brazil, and Adjunct Professor in the Texas A&M Department of Electrical and Computer Engineering.

The Texas A&M Institute of Data Science invites you to join a series of five Data Science Webinars between Oct 15 and Oct 29, 2019. The webinars introduce the fundamentals of Data Science through hands-on computation with python and Jupyter notebooks. The webinars are open to students, faculty, researchers and other employees of the Texas A&M University system.

A multidisciplinary team from Texas A&M led by Zachary Grasley (Director, Texas A&M Center for Infrastructure Renewal) has received a Planning Grant for an Engineering Research Center for AI in Construction (AI-Con) from the National Science Foundation. This award supports the development of a research roadmap for implementing artificial intelligence (AI) in the construction industry and the formation of a multi-institutional team working toward an NSF Engineering Research Center (ERC).

A cross-disciplinary team of Texas A&M University researchers led by statistician Bani K. Mallick has been awarded a three-year, $1.5 million Transdisciplinary Research In Principles of Data Science (TRIPODS) grant from the National Science Foundation to establish a new institute, the Texas A&M Research Institute for Foundations of Interdisciplinary Data Science (FIDS).

Texas A&M has received an award from the National Science Foundation to promote regional Cyber expertise in a multi-institution partnership led by PI Dhruva Chakravorty, Associate Director for User Services at Texas A&M High Performance Research Computing. TAMIDS Director Dr. Nick Duffield will serve as educational coordinator for CC* Team: SWEETER–SouthWest Expertise in Expanding, Training, Education and Research.

The NVIDIA Deep Learning Institute (DLI), Texas A&M Institute of Data Science, and Texas Engineering Experiment Station invite you to attend a hands-on deep learning workshop on October 19, 2019 from 8:30 a.m. to 5:00 p.m. at the ILSB Auditorium exclusively for verifiable academic students, staff, and researchers.

TAMIDS Research Affiliates are Texas A&M’s Data Science experts, with over 200 members drawn from 32 Texas A&M Colleges, Agencies and other major organizational units. The TAMIDS Research Affiliates Program is open to all Texas A&M faculty (including tenure, professional, instructional and research tracks), other researchers (including research scientists and postdoctoral researchers), and operations and administration staff and professionals, whose role and interests include Data Science.

Nick Duffield, Director of the Texas A&M Institute of Data Science (TAMIDS), is excited to announce the inaugural awardees of the Postdoctoral Project Program.

The Texas A&M Institute of Data Science (TAMIDS) recently awarded a total of $5,000 to five teams of graduate and undergraduate students for placing in its 2019 Data Science Competition.

The Texas Data Analytics Club is currently planning the first ever Texas A&M Datathon to take place in October 2019, and we are looking for mentors and teachers to teach bite-size data science workshops for the event.

The Texas A&M Institute of Data Science (TAMIDS) solicits proposals for one-day workshops in any area of Data Science. The aim of the TAMIDS Workshop Grants Program is to support community building, stimulate collaboration, and foster interdisciplinary growth in Data Science amongst researchers at Texas A&M.

The Texas A&M Institute of Data Science Graduate Travel Grants Program supports graduate students to attend and talk at conferences in any domain of Data Science. Awards of up to $500 will be made under the program. Preference will be given to students who give talks at the meetings attended, and for whom other sources of support are limited or unavailable.