TAMIDS Data Science Webinars
Texas A&M Institute of Data Science invites you to attend the “TAMIDS Data Science Webinars” to introduce the fundamentals of data science to students and researchers from the Texas A&M University system.

INCOSE Natural Systems Working Group
The IEEE INCOSE group seeks to improve System Engineering processes and practices with the application of natural systems knowledge and approaches. The goal is for SEs to take full advantage of natural systems, including both biological systems and the elements and forces of nature. The group meets Fridays at 11am CT.

Texas A&M Institute of Data Science (TAMIDS) Workshops
“Reinforcement Learning: Algorithms and Applications” by Dr. Dileep Kalathil April 3, 2020. Reinforcement Learning (RL) is extremely useful, starting from classical stochastic control problems to applications in robotics, drones, games, healthcare, and self-driving cars. Tutorial will cover the theory, concepts, state-of-the-art algorithms, and successful applications of reinforcement
learning.

“Network Science Workshop” April 13, 2023, 9am-3:30pm organized by Dr. Nate Veldt, assistant professor in the Dept. of Computer Science and Engineering at Texas A&M. The workshop brings together researchers at A&M interested in both theoretical and applied aspects of network science and graph analysis.

Frontiers in Design Representation (FinDeR) NSF Funded Summer School
The 1st was on “Optimal Transport, Information Geometry, and Generative Models for Data-Driven Design” at the University of Maryland, College Park, MD from July 25-29, 2022. The five-day summer school will introduce graduate students to advances in the fields of Machine Learning, Mathematical Statistics, and Information Geometry.

The 2nd Frontiers in Design Representation (FinDeR) “Designs as Programs – Induction, Analysis, and Generation“ at the University of Maryland, College Park, MD from June 5-9, 2023. It introduces design grad students to some of the advances in the fields of Formal Methods (e.g., Static Analysis, SMT Solvers, Applied CT) and Machine Learning (Program Induction, Transformer models) that mathematicians & computer scientists use to construct/compile new programs or systems and verify their correctness.

National Science Foundation Summer School Programs
“Decision Making in Engineering Systems” at the University of Southern California, Los Angeles, June 23-29, 2018. The six-day summer school introduced graduate students to the foundations of decision-making in large systems.

Texas A&M University’s Ecology & Evolutionary Biology’s Open Source for Open Science workshop
October 14-16 in the ILSB auditorium. A free 2-3 day workshop that introduces participants to the use of free, open-source tools for data analysis, statistical analysis, and visualization, particularly via the statistical programming language R. No previous experience with programming or statistics is required or expected.

ASME’s Journal of Mechanical Design Webinar Series
The journal hosts 1.5hr webinars every 3 months featuring interesting research work being published in the Journal of Mechanical Design (JMD). The goal is to share the latest research and development in the field, and by doing so, to keep our community connected. The selected papers are featured with 10-20min presentations followed by a panel discussion and a 30min Gathertown session for further discussion/networking among speakers and seminar attendees.