Dr. Randy Garrett, Program Manager at DARPA in the Strategic Technology Office, will present an online seminar “Data Science for Organizational Models” on Friday January 22, 2021, 1-2pm. Dr. Garrett has led special projects for the NSA, was the Senior Science Advisor for Army Intelligence, and was named as the DARPA Program Manager of the Year.
Scientific Machine Learning (SciML) is a rapidly developing area that aims to revolutionize the practice of Science and Engineering, by bringing together the fields of Machine Learning and Scientific Computation. Texas A&M University, with its large research enterprise in engineering, science, and high-performance computing, is uniquely positioned to emerge as one of the national leaders in this area. The SciML Lab has been commissioned as a pilot Lab under TAMIDS Thematic Data Science Labs program to help to make this a reality. The Lab will complement its new research thrusts with community building through workshops, seminar series, and educational resources through tutorials, short courses, and for-credit courses aimed at a multidisciplinary audience to cut across organizations at Texas A&M.
The Master of Science in Data Science degree is an on-campus interdisciplinary program offered by the Departments of Computer Science and Engineering, Electrical and Computer Engineering, Mathematics, and Statistics within the University’s Colleges of Engineering and Science, and administered jointly with the Texas A&M Institute of Data Science.
The Texas A&M Institute of Data Science (TAMIDS) solicits proposals to establish Labs operating under the auspices of TAMIDS in emerging areas of Data Science. The mission of each Lab will be to develop knowledge, resources, and community around a thematic area of Data Science, encompassing research, education, and outreach. TAMIDS will support each Lab through a combination of seed funding for new research, effort from TAMIDS personnel, preferred access to existing TAMIDS programs, and organizational and logistical support.
TAMIDS invites nominations of early career faculty for the Texas A&M Institute of Data Science Career Initiation Fellow program. Each Fellow will receive a one-time $10,000 award in the form of a bursary to be transferred to a research account of the Fellow recipient. While the funds are unrestricted in use, candidate Fellows must propose engagements with TAMIDS activities, programs or broader mission that are expected to be undertaken within one year following the award. TAMIDS plans to award six fellowships in 2021.
The Data Science Coffee Connections program aims to facilitate cross-departmental interaction among researchers and university personnel with an interest in Data Science. Through this program, TAMIDS provides a platform that each month randomly pairs participants, who can then arrange a 30-min meeting to exchange ideas. While we expect people connecting through Data Science Coffee Connections will be drawn by a shared interest in Data Science, it’s entirely up to you where you take the conversation.
TAMIDS announces its program for the Spring 2021 online Data Science seminar and tutorial series, running from January 22 until April 23, 2021
The Texas A&M Institute of Data Science (TAMIDS) has established its Data Science Traineeship Program to help faculty and researchers develop Data Science projects, draw on the skills and interests of our students to work with them, and provide Data Science consultancy and mentorship during the projects
The Bring-Your-Own-Data (BYOD) workshops are one-on-one consultancy sessions with a TAMIDS Data Scientist who can help with formulating approaches to your Data Science research project, and assist with code development to take advantage of the latest data analytics methods and high-performance computing facilities. The workshops are available on multiple dates from January 18, 2021.
The Texas A&M Institute of Data Science (TAMIDS), in association with the Texas A&M Center for Teaching Excellence, solicits proposals for enhancing data science education at Texas A&M. The aim of the TAMIDS Course Development Grant Program is to support faculty to develop new Data Science courses or revamp existing courses to include Data Science components. The program supports development of for-credit courses for graduate and/or undergraduate TAMU students, and of similar components within summer programs or for broader outreach.
TAMIDS seeks to hire an Assistant Research Scientist who will develop research programs for innovative education and training in Data Science, and collaborate and coordinate with faculty and students to promote the growth of Data Science skills and knowledge. The successful candidate will have a PhD Degree in a field relating to Data Science and experience delivering Data Science education in a university environment.
The Texas A&M Institute of Data Science (TAMIDS: https://tamids.tamu.edu) and the 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.
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.
TAMIDS has developed “building blocks” for Data Science education, training, consultancy and project development that can support proposals for extramural funding.
TAMIDS and the Texas A&M Center for Geospatial Science, Applications, and Technology (GEOSAT) have established the Operational Data Science Lab to develop partnerships with operational organizations in Texas A&M that capitalize on institutional data investments and transform Texas A&M into a living laboratory for Data Science.