Spring 2023 Data Science Seminar Series: Paul Miller: The Sound Of Science
On February 13, 2023, Paul Miller (a.k.a. DJ Spooky), will present a TAMIDS Data Science Seminar on “The Sound of Science”
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2023 Spring Seminar Series: Shih-Lung Shaw: GIScience in a Hybrid Physical-Virtual World
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”.
2023 Student Data Science Competition
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 […]
Spring 2023 Data Science Seminar Series: Edward McFowland III: Achieving Reliable Casual Inference with Data-Mined Variables
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”.
TAMIDS SciML Lab Seminar Series: Yannis Kevrekidis: No Equations, No Variables, No Space, No Time: Data and the Modeling of Complex Systems
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.”
TAMIDS Seminar Series: Abhishek Chakrabortty: Causal Inference for Treatment Effects from Observational Data: An Overview
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”.
Spring 2023 Data Science Seminar Series: Tyson Swetnam: Cyber Cowboys: Wrangling Big Data on the Frontier of Open Science
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).
TAMIDS Tutorial Series: Shuiwang Ji: Frontiers of Graph Neural Networks with the Dive-Into-Graphs (DIG) Library
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”.
TAMIDS Workshop on Network Science
On Thursday, April 13th, the TAMIDS Workshop on Network Science will bring together students and faculty at Texas A&M interested in both theoretical and applied aspects of network science and graph analysis. The workshop will include talks from faculty across several different departments on campus and will conclude with a poster session on student research projects.
TAMIDS Tech Talk: Sanyam Bhutani: Building ML Apps, What can you learn from Kaggle competitions?
On April 13th 2023, Sanyam Bhutani, a Data Scientist at H2O.ai, host of Chai Time Data Science podcast, and Kaggle Grandmaster, will present a TAMIDS Seminar on “Building ML Apps, What can you learn from Kaggle?”
Spring 2023 Data Science Seminar Series: Weisong Shi: Vehicle Computing: Vision and Challenges
On April 17th, 2023, Dr. Weisong Shi, a Professor and Chair for the Department of Computer and Informational Sciences at University of Delaware, will present a TAMIDS Data Science Seminar on “Vehicle Computing: Vision and Challenges”.
TAMIDS Tech Talk: Martin Klein: We Are Losing our Scholarly Record – and What We Can Do About It
On Wednesday, April 19th, Dr. Martin Klein, a scientist at the Research Library of the Los Alamos National Laboratory in New Mexico, will present a TAMIDS Tech Talk titled “We Are Losing Our Scholarly Record – and What We Can Do About It”.