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 Workshop on Data Science/AI/ML in Education

The Texas A&M Institute of Data Science will hold a one-day workshop on the emerging field of using data-driven methods, artificial intelligence (AI) and machine-learning (ML) techniques in education. The workshop will take place on on 24 April 2019.

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2019 Texas A&M Datathon

The Texas Data Analytics Club is currently planning the first ever Texas A&M Datathon to take place in October 2019, and we are looking for mentors and teachers to teach bite-size data science workshops for the event.

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TAMIDS Staff Data Scientist Position

The Texas A&M Institute of Data Science seeks a Staff Data Scientist who can join its mission to promote research, education, service and outreach. The Data Scientist will help research and operational organizations in Texas A&M utilize Data Science in their work by: Acting as a consultant and collaborating on longer-term research and operational projects. …

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Texas A&M Institute of Data Science Postdoctoral Project Program

The Texas A&M Institute of Data Science and the Texas A&M Division of Research announce the TAMIDS Postdoctoral Project Program. TAMIDS solicits proposals from Texas A&M PIs (either singly, or in teams with one or more Co-PIs) concerning projects to employ a postdoctoral researcher. Projects may concern any foundational, applied, or interdisciplinary area of Data Science

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2019 TAMIDS Data Science Competition

The city of Los Angeles, CA has released a public dataset detailing over a 600,000 bicycle commuter trips. The Texas A&M Institute of Data Science (TAMIDS) invites teams to analyze and develop solutions for the LA Bike Share.

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

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!

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Texas A&M Institute of Data Science 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.

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Texas A&M Institute of Data Science Graduate Travel Grants Program

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 $1,000 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.

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TAMIDS Workshop on Operational Data Science

The Texas A&M Institute of Data Science (TAMIDS) held a workshop on Operational Data Science on February 11, 2019.

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Major Focus Areas

Research

TAMIDS facilitates the creation and dissemination of fundamental research in the field of data science, enables applied data science research in relevant disciplines, and spurs interdisciplinary research by unifying the diverse expertise across the university.

Education and Outreach

TAMIDS is poised to propose educational programs in the application of data science methodologies. Because TAMIDS is the umbrella organization spanning different disciplines, it also promotes data science applications across disciplines and industries to external constituencies.

Applications and Service

TAMIDS serves as a university-wide data science infrastructure to benefit the larger university community and its agencies with service-oriented activities through hardware, software, and human expertise. Additionally, the Institute’s data scientists offer specialized assistance to researchers involved in analysis of big data.