Bahar Dadashova, Ph.D. Assistant Research Scientist, Texas A&M Transportation Institute, will present an online seminar in the Transportation Data Science Seminar Series on “Random Parameter Models for Estimating Statewide Daily Bicycle Counts using Crowdsourced Data” on Thursday March 20th, 2021, 8-9pm CST.

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 until August 25, 2021

The Transportation Data Science seminar series invites research that sheds light on the opportunities, challenges and solutions of using big mobility data for transportation science and smart cities. The series is jointly sponsored by the Department of Landscape Architecture and Urban Planning, the Texas A&M Transportation Institute and the Texas A&M Institute of Data Science. The talks take place biweekly though end August 2021.

TensorDiffEq is a software package designed and developed by members of the TAMU SciML community to implement collocation-based neuralPDE solvers, data assimilation solvers, as well as parameter inference and PDE discovery. This workshop, which will take place on 5/7/2021, aims to promote scientific machine learning methods within the A&M research community and get more A&M researchers started in this exciting field. Meanwhile, we are interested in engaging a local community in the future development of TensorDiffEq.

From April 19 to April 23, 2021, the TAMIDS SciML Lab organized a one-week-long Hackathon to explore potential applications of graph learning in material design. The team consisted of two faculty members from the Department of Materials Science and Engineering, one research scientist from TAMIDS, and 8 graduate students drawn from the Department of Materials Science and Engineering, Chemistry, and Electrical and Computer Engineering. Together, they were able to modify and deploy the MatErials Graph Network (MEGNet) model, one of the best libraries of graph learning in the material science field, on Grace, the new supercomputer at Texas A&M.

Four Letters of Intent have been approved to go forward to full proposals for the TAMIDS Thematic Data Science Labs program. The mission of each Lab eventually funded 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.

Five teams of Texas A&M University students shared more than $6,000 in prizes during the final of the 2021 TAMIDS Student Data Science Competition, which was held online on April 14, 2021. The competition required students to develop models to predict the impact on electoral outcomes of contributions and spending by campaigns and donors, and use these to develop recommendations for where funds should be directed.

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.

Dr. Daniel Osorio, who received support from two TAMIDS programs during his PhD in the Texas A&M College of Vet Medicine & Biomedical Sciences, has received a prestigious EU Marie Skłodowska-Curie Actions Research Fellowship.

TAMIDS has announced the awards for seven projects under its Data Science Course Development Grant Program. The program, developed in association with the Texas A&M Center for Teaching Excellence, provides support to faculty for developing new courses in Data Science, or redesigning existing courses to include Data Science components.

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.

Christi Retzer joined TAMIDS as Program Coordinator II on February 1, 2021. Christi will coordinate TAMIDS Educational Programs, including the new MS in Data Science program which will welcome its first cohort of students in Fall 2021. Christi has been working in higher education for the past twelve years. Welcome Christi!

Jennifer South has been promoted to Senior Administrative Coordinator II. Jennifer has worked at TAMIDS since December 2018, where she coordinates TAMIDS many programs and events, administers its operations, and is the liaison with our organizational partners throughout Texas A&M. Congratulations Jennifer!

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

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.

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.

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.