Schedule subject to change; check https://ai-math-seminar.github.io/seminar/ for speakers, abstracts, and slides. The seminar explores the fast-growing interface between mathematical reasoning, formal methods, and modern AI systems. It is co-organized by DIMACS and the Mathematics Department at Rutgers University, New Brunswick. Here is the YouTube channel for the talks in this seminar. Date: Oct 7, 2026 […]
Oct 7 SPECIAL IRON’S LECTURE COLLOQUIUM Listening to the Body: Soft Electronics, Electrophysiology and the Physics of Human–Machine Interfaces Date and Time: Wednesday, October 07, 2026, 03:30pm – Location: Zoom and/or 330W in the Physics and Astronomy Building Speaker: Yael Hanein, Tel Aviv University Abstract: The human body continuously generates electrical signals that reflect neural activity, muscle activation, eye […]
This workshop presents an overview of major data resources and methods of locating data, with a focus on diversity and data for minorities and underrepresented groups. Workshop conducted via Zoom. Register to receive the Zoom link with instructions on how to connect. Supplemental materials are available at https://libguides.rutgers.edu/data_topics Instructor: Ryan Womack Related LibGuide: Data Topics by […]
Coding in NVivo allows participants to tag and organize data by theme so patterns can be identified across files. This session covers file classification and attributes as a way to organize files, autocoding as an entry point to qualitative coding, and manual coding. It assumes participants already know how to create a project and bring […]
This workshop reviews statistical tests, regression, sampling and bootstrap methods, and more. The focus here is on implementing statistics using R, with a comparison to Python techniques for accomplishing similar tasks. Part of the Data Topics series of workshops. Workshop conducted via Zoom. Register to receive the Zoom link with instructions on how to connect. […]
Learn how to communicate insights effectively, with the goal of outputting polished visualizations and an annotated chart, through these key topics: Principles of effective visualization Improving poor charts Adding narrative and context Attendees will develop polished visualizations and an annotated chart with insights. (Applied Data Science, Workshop 3) Instructor: Terri-Ann Grant Related LibGuide: Data Science – […]
Schedule subject to change; check https://ai-math-seminar.github.io/seminar/ for speakers, abstracts, and slides. The seminar explores the fast-growing interface between mathematical reasoning, formal methods, and modern AI systems. It is co-organized by DIMACS and the Mathematics Department at Rutgers University, New Brunswick. Here is the YouTube channel for the talks in this seminar. Date: Oct 14, 2026 […]
What do wartime, espionnage, and steganography have in common? Embroidery! Come for a brief history of data visualization in textiles and a hands-on activity in which we will learn to assemble and translate data into stitches. All levels of experience are welcome, including no experience at all. This is a hybrid workshop; materials will be […]
Coding in NVivo allows participants to tag and organize data by theme so patterns can be identified across files. This session covers file classification and attributes as a way to organize files, autocoding as an entry point to qualitative coding, and manual coding. It assumes participants already know how to create a project and bring […]
This workshop covers basic data visualization in R, with emphasis on ggplot2 and associated packages. The focus here is on R techniques, with a brief comparison to Python techniques for accomplishing similar tasks, such as seaborn and matplotlib. Part of the Data Topics series of workshops. Workshop conducted via Zoom. Register to receive the Zoom […]
