Transportation Data Science Seminar Series: Tianjun Lu: Leveraging Data Science for Transportation and Environmental Challenges
Tianjun Lu, Ph.D. Assistant Professor of Earth Science and Geography at California State University Dominguez Hills, will present an online seminar in the Transportation Data Science Seminar Series on “Leveraging Data Science for Transportation and Environmental Challenges” on Thursday July 29th, 2021, 8-9pm CST.
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. All support travel must conform to current TAMU policies including those related to COVID-19.
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.
Texas A&M Institute of Data Science (TAMIDS) has announced eight awardees under its Career Initiation Fellow Program. The program was designed to provide early career support to faculty working in any area involving Data Science and to encourage them to propose engagements with TAMIDS activities, programs, or broader mission, to be undertaken during the year of the award.
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.
Update: TAMIDS SciML Lab Workshop: TensorDiffEq for Efficient and Scalable Physics-Informed Deep Learning
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 took place on 5/7/2021, aimed 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.
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.
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.
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 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.