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.
Discover how GIS helps tell better stories across humanities and social sciences, and by extension, their applications in public policy.
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 […]
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”.
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 […]
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”.
This workshop will consist of lectures, demonstrations, and exercises in which undergraduate students, graduate students, and faculty will conceptually understand t-tests (e.g., one-sample, independent samples, paired samples) and ANOVAs (e.g., one-way, mixed, ANCOVA) and apply them to data sets using statistical software. Attendees will identify when to employ and understand how to interpret the results of […]
This free workshop aims to promote collaboration between Machine Learning/AI researchers and researchers in Public Health and Medicine.
The primary focus of this workshop is to assess both our internal capacities and external partnerships, with the aim of aligning them to meet the requirements of the NIST solicitation.
Learn the essential techniques and tools to train a deep learning model through hands-on computer vision and natural language processing exercises. NVIDIA Course Overview (Do not register through NVIDIA) Instructor: Yalong Pi, Associate Research Scientist, Texas A&M Institute of Data Science Location:Interdisciplinary Life Sciences Building (ILSB) Auditorium
On Marth 25th, 2024, Dr. Andreas Tolk, the Chief Scientist for Complex System Modeling at The MITRE Corporation, will present a Data Science Seminar on “Merging Agents, Social Science, and Big Data into Artificial Societies: Providing Socio-technical Complex Adaptive Systems for Better Policy Evaluation”.
This workshop will consist of lectures, demonstrations, and exercises in which undergraduate students, graduate students, and faculty will conceptually understand t-tests (e.g., one-sample, independent samples, paired samples) and ANOVAs (e.g., one-way, mixed, ANCOVA) and apply them to data sets using statistical software. Attendees will identify when to employ and understand how to interpret the results of […]
