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The Interdisciplinary Impact of Data Science


The Texas A&M Institute of Data Science pursues new approaches to Data Science research, education, operations and partnership. These approaches cross college boundaries to connect elements of Data Science from engineering, technology, science and the humanities, and inform wider social challenges.


TAMIDS SciML Lab Seminar Series: Chris Rackauckas: “Stiffness: Where Deep Learning Breaks and How Scientific Machine Learning Can Fix It”

Dr. Chris Rackauckas, Applied Mathematics Instructor at MIT, Director of Modeling and Simulation at Julia Computing, and the Director of Scientific Research at Pumas-AI, will present an online seminar in the TAMIDS Scientific Machine Learning (SciML) Lab Seminar Series: “Stiffness: Where Deep Learning Breaks and How Scientific Machine Learning Can Fix It” on Wednesday April 14th, 2021, 1-2pm CST.

TAMIDS Seminar Series: Haris Vikalo: “Sensing and Learning in Distributed Systems Operating under Resource Constraints”

Dr. Haris Vikalo, Professor at the Department of Electrical & Computer Engineering at the University of Texas at Austin will present a talk in the TAMIDS Seminar Series on “Sensing and Learning in Distributed Systems Operating under Resource Constraints” on Friday April 9, 2021 from 1-2pm CST

TAMIDS Supported CVMBS PhD Graduate Receives EU Marie Skłodowska-Curie Fellowship

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 SciML Lab: Hackathon on Material Design With Graph Learning

From April 19 to April 23, the TAMIDS Scientific Machine Learning Lab will organize a one-week-long Hackathon to explore potential applications of graphical learning in material design. Graph deep learning utilizes graph neural networks to learn and analyze graph data in various domains that include but not limited to social networks, traffic networks, natural science, knowledge graphs, and material design. In material design, graph generation has been demonstrated to be a very effective method in molecule discovery and material search.

Transportation Data Science Seminar Series: Lingtao Wu: Introduction on How to Estimate Transportation Safety

Lingtao Wu, Ph.D. Assistant Research Scientist, Texas A&M Transportation Institute, will present an online seminar in the Transportation Data Science Seminar Series on “Introduction on How to Estimate Transportation Safety” on Thursday April 1st, 2021, 4-5pm CST.

Data Science Course Development: Program Awards

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.

TAMIDS Seminar Series: Pascal Van Hentenryck: End to End Data Science

Dr. Pascal Van Hentenryck, a Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology, will present an online seminar “End to End Data Science” on Friday, March 26th, 2021, 1-2pm CST.

2021 Student Data Science Competition

In the 2021 Data Science Competition, student teams will 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. Students will be encouraged to identify metrics for effectiveness of donations and campaign spending. What characterizes the most effective donation or spending? Where should it be directed? Is this effectiveness getting more or less pronounced over time? What other factors and data may need to be brought into the analysis?

Master of Science in Data Science

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.

Position: Postdoc in Scientific Machine Learning

The TAMIDS Scientific Machine Learning (SciML) Lab is part of a new initiative to develop knowledge, resources, and community around thematic areas of Data Science / Artificial Intelligence / Machine Learning, encompassing research, education, and outreach. TAMIDS is seeking to recruit a postdoctoral research associate to join the SciML Lab multidisciplinary team, currently comprising six faculty drawn from the Colleges of Science and Engineering, researchers from TAMIDS and Texas A&M High Performance Research Computing, and associated graduate students.

Data Science Coffee Connections

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.

Spring 2021 Seminar & Tutorial Series

TAMIDS announces its program for the Spring 2021 online Data Science seminar and tutorial series, running from January 22 until April 23, 2021

Transportation Data Science Seminar Series

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.

Thematic Data Science Labs Program

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.

Appointments and Promotions at TAMIDS

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!

TAMIDS Data Science Traineeship Program

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

Bring-Your-Own-Data (BYOD) Online Workshops

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.

Data Science Career Initiation Fellow Program

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.

Position: Assistant Research Scientist in Data Science Education

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

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.

TAMIDS Workshop Grants Program

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 Collaboration and Proposal Support in Data Science

TAMIDS has developed “building blocks” for Data Science education, training, consultancy and project development that can support proposals for extramural funding.