TAMIDS Fall 2023 Seminar and Tutorial Series
TAMIDS announces the schedule of its seminar series in Fall 2023, running from August 28 until November 20. The talks are held in-person (with an online option) on Mondays 2-3pm in Blocker 220.
12 events found.
Xiaogang Ma–Machine-readable Semantics in Data Science for Geosciences
On November 20th, 2023, Dr. Xiaogang Ma, an Associate Professor of Computer Science and the Dean’s Distinguished Fellow at the University of Idaho, will present a Data Science Seminar on “Machine-readable Semantics in Data Science for Geosciences”.
Data Visualization in R
On November 29th 11 a.m. – 1 p.m., and on November 30th 4 p.m. – 6 p.m., Benjamin D. Schulte, an Industrial-Organizational Psychology Ph.D. Student at Texas A&M, will present a tutorial on Data Visualization in R.
Structural Equation Modeling in R
On December 6th 11 a.m. – 1 p.m., and on December 7th 4 p.m. – 6 p.m., Benjamin D. Schulte, an Industrial-Organizational Psychology Ph.D. Student at Texas A&M, will present a tutorial on Structural Equation Modeling in R.
Theodoros Giannouchos–Methods to Evaluate Outcomes of Health Policies: the Case of State-level Caps on Patients’ Out-of-pocket Spending for Insulin
On January 22nd, 2024, Dr. Theodoros Giannouchos, an Assistant Professor for the Department of Health Policy & Organization at the University of Alabama at Birmingham, will present a Data Science Seminar on “Health Insurance Claims Data and Quasi-experimental Methods to Evaluate Outcomes of Health Policies: The Case of State-level Caps on Patients’ Out-of-pocket Spending for Insulin”
Early Career Collaboration Info Session
Faculty and researchers are invited to join thee info session regarding TAMIDS’s Early Career Collaboration Program.
U.S. Census Bureau Director Dr. Robert Santos Visit
On February 6th, the Director of the Census Bureau, Dr. Rob Santos, will be visiting TAMU as part of his multi-day tour of Texas to build relationships with institutions that will be mutually beneficial – strengthening data science and analytics opportunities at the institutions, and building relationships that will help connect students and community members to data, internships, and jobs at the Census Bureau.
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