On January 26-27, 2023, Texas A&M University is hosting a virtual Data Carpentries workshop focused on Data Analysis and Visualization in Python. This workshop is a collaboration between the Texas A&M University Library, the Texas A&M Institute of Data Science (TAMIDS), and the Texas Digital Library Consortium. The Data Carpentries teach the fundamental data skills needed to conduct research.
The Texas A&M Institute of Data Science (TAMIDS) and Texas A&M High Performance Research Computing (HPRC) invite you to sign up for Bring-Your-Own-Data (BYOD) online consultancy, offered in dedicated sessions with a TAMIDS Data Scientist on Thursdays 2:00pm-3:00pm during Spring 2023.
Dr. Swati Gupta, a Fouts Family Early Career Professor and Assistant Professor at Georgia Institute of Technology, will present a seminar on “Spring 2023 Data Science Seminar Series: Swati Gupta: Bridging Ethical Algorithms, Law, and Practice Hiring and Beyond” on Monday, January 20th, 2023, at 2:00 P.M. CT in Blocker 220 and online via Zoom.
Dr. Bobby Gramacy, a Professor of Statistics at Virginia Tech, will present a seminar on “Deep Gaussian Process Surrogates for Computer Experiments” on Monday, February 6th, 2023, at 2:00 P.M. CT in Blocker 220 and online via Zoom.
On February 13, 2023, Paul Miller (a.k.a. DJ Spooky), will present a TAMIDS Data Science Seminar on “The Sound of Science”
On February 27th, 2023, Dr. Shih-Lung Shaw, a Chancellor’s Professor & Alvin and Sally Beaman Professor at University of Tennessee, will present a TAMIDS Data Science Seminar on “GScience in a Hybrid Physical-Virtual World”.
Wildfire Data Science Challenge Competition Setting As described on the website of the World Health Organization, a wildfire is an unplanned fire that burns in a natural area such as a forest, grassland, or prairie. Wildfires are often caused by human activity or a natural phenomenon such as lightning, and they can happen at any […]
On March 6th, 2023, Dr. Edward McFowland III, an Assistant Professor of Business Administration at Harvard Business School, will present a TAMIDS Data Science Seminar on “Achieving Reliable Causal Inference with Data-Mined Variables”.
On Monday, March 27th Dr. Yannis Kevrekidis, a Professor of Biomedical Engineering at John Hopkins, will give a SciML Lab Seminar on “No Equations, No Variables, No Space, No Time: Data and the Modelling of Complex Systems.”
On Marth 29th, 2023, Dr. Abhishek Chakrabortty, an Assistant Professor for Texas A&M Department of Statistics, will present a TAMIDS Data Science Seminar on “Causal Inference for Treatment Effects from Observational Data: An Overview”.
April 3, Monday, 2-3 pm CDT, Tyson Swetnam, University of Arizona. Detailed information for this seminar is forthcoming. The seminar is in person at Blocker 220. Drinks and snacks will be served. The seminar will be also accessible via zoom (ID: 998 4499 3279 and Passcode: 724615).
On April 10th, 2023, Dr. Shuiwang Ji, a Professor and Presidential Impact Fellow in the Department of Computer Science and Engineering at Texas A&M, will present a TAMIDS Tutorial on “Frontiers of Graph Neural Networks with the Dive-Into-Graphs (DIG) Library”.
