In this year’s Data Science Competition, students will use airline data from the US Bureau of Transportation Statistics to develop airline performance measures and develop models to forecast expected performance. Students are encouraged to identify one or more performance measures that they would like to model, and the competition provides them with the opportunity to showcase novel insights and analyses of the data.
The Texas A&M Energy Institute and the Texas A&M Institute of Data Science are co-hosting the Texas A&M Workshop on Energy and Data Science, which will bring together expertise from both the energy sector and the data science sector to address some of the unique challenges and opportunities ahead of the energy digitization transformation.
Dr. Xia “Ben” Hu, Assistant Professor and Lynn ’84 & Bill Crane ’83 Faculty Fellow, Dept. of Computer Science & Engineering, Texas A&M University, will led a tutorial workshop on Interpretable Machine Learning: Concepts and Techniques. The workshop covered fundamental concepts as well as the state-of-the-art algorithms with implementations in interpretable machine learning.
The Texas A&M Institute of Data Science (TAMIDS) has named Dr. Yu Ding, Mike and Sugar Barnes Professor of Industrial and Systems Engineering, as its Associate Director for Research Engagement. In this role, Ding will lead TAMIDS activities to support promote the growth and impact of interdisciplinary Data Science research at Texas A&M.
A two-day workshop on Astronomical Data Science was held at Texas A&M on February 17-18, 2020. Astronomy’s unprecedented success in data collection necessitates equal levels of innovation in data processing and analysis. Current and upcoming large and complex data streams offer huge opportunities for new science, but also new (and old) challenges. This workshop brought together astronomers, statisticians, computer scientists, and others to present the latest methods for tackling these challenges and discuss ideas for the next generation of approaches.
The Texas A&M Institute of Data Science (TAMIDS), Texas A&M High Performance Research Computing (HPRC), and Texas Engineering Experiment Station invite you to join our Bring-Your-Own-Data (BYOD) workshop, taking place weekly on Tuesdays during Spring 2020.
The Texas A&M Institute of Data Science (TAMIDS: https://tamids.tamu.edu) and the newly established NSF-funded Research Institute on the Foundations of Interdisciplinary Data Science at Texas A&M University (FIDS: http://FIDS.tamu.edu) are seeking to recruit a postdoctoral research associate to work in the area of machine learning, statistical and computational methods for the modeling and analysis of high-dimensional and graph-based data. Candidates should possess a Ph.D. in Data Science, Electrical Engineering, Computer Science, Statistics, Mathematics, or a related area.
The Texas A&M Institute of Data Science (TAMIDS) seeks a postdoctoral Data Scientist to join its initiative on Operational Data Science. The principal goals of this initiative are to: (i) identify new data-driven research problems arising from operational contexts; (ii) use Data Science to derive new insights and enable new analyses of the data and embody these in software tools that can benefit operations; (iii) help the broader community of faculty, researchers and students at Texas A&M engage with operational data challenges. Achieving these goals has the potential to transform Texas A&M into a living laboratory for applied Data Science.
The NVIDIA Deep Learning Institute (DLI), the Texas A&M Institute of Data Science, Texas A&M High Performance Research Computing, and the Texas Engineering Experiment Station invite you to attend a hands-on deep learning workshop on Feb 1, 2020 from 8:30AM to 5:00PM at the ILSB Auditorium exclusively for verifiable academic students, staff, and researchers.
The Texas A&M Institute of Data Science (TAMIDS) is seeking to hire Associate Director for Institute Operations. The Associate Director will be responsible for developing and managing operations of the Texas A&M Institute of Data Science in its mission to lead and support the growth of Data Science research, education, and outreach. In association with the Director, they will lead development of new partnerships within Texas A&M and with universities, government, non-profits, and industry.
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.
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).
Texas A&M Receives $1.5M National Science Foundation TRIPODS Award on Foundations of Interdisciplinary Data Science
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 Leads National Science Foundation Funded Consortium for Regional Expertise in Computational and Data Sciences
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.
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.
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.