TAMIDS Spring 2023 Seminar & Tutorial Series
TAMIDS announces its program for the Spring 2023 Data Science seminar and tutorial series, running from January 23 until April 17, 2023, starting Mondays at 2pm, online or in person in Blocker 220.
12 events found.
Data Carpentries Workshop
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.
Bring-Your-Own-Data (BYOD) Online Consultancy
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.
Spring 2023 Data Science Seminar Series: Swati Gupta: Bridging Ethical Algorithms, Law, and Practice Hiring and Beyond
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.
Spring 2023 Data Science Seminar Series: Bobby Gramacy: Deep Gaussian Process Surrogates for Computer Expirements
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.
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”
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).