Data Justice Lab Seminar Series: Ruihong Huang: Detecting Online Hate Speech Using Both Supervised and Weakly Supervised Approaches
Dr. Ruihong Huang, an Associate Professor in the Department of Computer Science and Engineering at Texas A&M University University, will present an online seminar on “Detecting Online Hate Speech Using Both Supervised and Weakly Supervised Approaches,” on September 29th, 2021, at 10-11am CT.
Fall 2021 Data Science Seminar Series: Johan Ugander: Learning Preferences with Irrelevant Alternatives
Dr. Johan Ugander, an Assistant Professor in the Department of Management Science and Engineering at Stanford University, will present an online seminar on “Learning Preferences with Irrelevant Alternatives” on Monday, September 27th, 2021, at 1:50pm.
Transportation Data Science Seminar Series: Yunlong Zhang: Using an Interpretable Machine Learning Framework to Understand Mobility and Reliability Considerations in Truck Drivers’ Route Choice
Yunlong Zhang, a Professor with the Zachry Department of Civil and Environmental Engineering at Texas A&M University, and a joint venture with the the Texas A&M Transportation Institute, will present an online seminar in the Transportation Data Science Seminar Series on “Using an Interpretable Machine Learning Framework to Understand Mobility and Reliability Considerations in Truck Drivers’ Route Choice” on Thursday September 23rd, 2021, 8-9pm CT.
This week, the Texas A&M Institute of Data Science (TAMIDS) welcomed its first cohort of students into the Master of Science in Data Science (MSDS) program. We look forward to having this exceptional group of students studying at Texas A&M University!
Texas A&M University has created an Undergraduate Certificate in Data Analytics for the Petroleum Industry (CERT-DAPI), supported by a $1 million gift from ConocoPhillips. The five-year gift is part of ConocoPhillips’ commitment to help meet the growing demand for data science coursework in universities. The program resulted from a collaboration between Texas A&M’s colleges of engineering, science, geosciences and Mays Business School. TAMIDS and the Department of Petroleum Engineering in the College of Engineering are managing the program.
Funded by Microsoft, the grant will support high performance computing through $150,000 in Azure computing credits. The collaboration between the Texas A&M Institute of Data Science (TAMIDS) and the College of Architecture will use AI to leverage social media big data, such as text, images, and videos to enable rapid damage assessment for disasters.
TAMIDS announces the establishment of two new Labs through its competitive Thematic Data Science Labs program: the Data Justice Lab, and the VIVID Lab for Visceral Intersensory Visualization & Information Design. The Thematic Labs program aims to develop ecosystems encompassing research, education, and community building
in emerging areas of Data Science that will strengthen TAMU’s prominence and competitiveness.
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 Wednesdays 2:00-3:30pm from August 25 until December 22, 2021
TAMIDS announces its program for the Fall 2021 Data Science seminar and tutorial series, running from September 6 until November 23, 2021, starting Mondays at 1:50pm, online or in person in ETB 1034.
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.
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 has named Dr. Simon Foucart, Professor of Mathematics and Presidential Impact Fellow, as its Associate Director for External Academic Engagement. In this role, Foucart will lead TAMIDS activities to promote the growth of external research engagements in Data Science at Texas A&M University.
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 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
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 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 has developed “building blocks” for Data Science education, training, consultancy and project development that can support proposals for extramural funding.