Early Career Collaboration Info Session
Faculty and researchers are invited to join thee info session regarding TAMIDS’s Early Career Collaboration Program.
12 events found.
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.
TAMU Education and Outreach Expo
Rudder 601 401 Joe Routt Blvd, College StationThis event will start with introducing 20+ campus representatives in programs where faculty can collaborate on the education and outreach aspects of their NSF proposals, to be followed by an expo for attendees to network with these campus program representatives. All faculty are encouraged to attend.TAMIDS will be presenting at this networking
Featured
Smart Agriculture Symposium
Data-Driven Intelligent Agricultural System Symposium.
Introduction to R and Data Cleaning
This workshop will consist of lectures, demonstrations, and exercises in which undergraduate students, graduate students, and faculty will learn the basics of working with and cleaning data in R. Attendees will understand the R Studio interface, write simple code using appropriate syntax, and utilize functions and packages. Attendees will also learn to clean data using […]
David Hatch–Towards Commercially Viable Fusion Energy: Innovation, Challenges, and the Growing Contributions for AI/ML
On February 19th, Dr. David Hatch, a Research Professor for the Institute of Fusion Studies at the University of Texas at Austin, will present a Data Science Seminar on “Towards Commercially Viable Fusion Energy: Innovation, Challenges, and the Growing Contributions from AI/ML”
Models for Online Behavioral Research
Join this virtual presentation by Dr. David Lazer. This talk will outline various paradigms for empirical research of studying online behaviors of people and platforms, as the field transitions from its reliance on Twitter data to an uncertain future, with a particular focus on the potential for creating an infrastructure utilizing user-sourced data on human and platform behavior.
Get Paid to Tell Better Stories in GIS
Discover how GIS helps tell better stories across humanities and social sciences, and by extension, their applications in public policy.
Data Science in Local Government Planning
We will commence with introductions, setting the stage for a deep dive into how Geographic Information System (GIS) and Data Science tools and techniques have been instrumental in our recent and upcoming projects at City of College Station. These case studies will illustrate the transformative impact of data-driven insights on urban and community planning. Following […]
Jessy Li–Modeling Discourse as Questions and Answers
On March 4th, 2024, Dr. Jessy Li, an Associate Professor for the Department of Linguistics at The University of Texas at Austin, will present a Data Science Seminar on “Modeling Discourse as Questions and Answers”.
Introduction to R and Data Cleaning
This workshop will consist of lectures, demonstrations, and exercises in which undergraduate students, graduate students, and faculty will learn the basics of working with and cleaning data in R. Attendees will understand the R Studio interface, write simple code using appropriate syntax, and utilize functions and packages. Attendees will also learn to clean data using […]
Karun Kaniyamattam–Mathematical Modeling Backed Decision-making for Sustainable Livestock Systems: Perspectives from Animal Systems Modeling World
On March 18th, 2024, Karun Kaniyamattam, an Assistant Professor for the Department of Animal Science and AgriLife Research at Texas A&M University, will present a data science seminar on “Mathematical Modeling Backed Decision-making for Sustainable Livestock Systems: Perspectives from Animal Systems Modeling World”.