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X-WR-CALNAME:The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
X-ORIGINAL-URL:https://radcollaboratory.rutgers.edu
X-WR-CALDESC:Events for The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
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DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20251007T093000
DTEND;TZID=UTC:20251007T143000
DTSTAMP:20260503T191039
CREATED:20250815T080028Z
LAST-MODIFIED:20250929T154457Z
UID:2469-1759829400-1759847400@radcollaboratory.rutgers.edu
SUMMARY:AI/DL Tutorials: Distributed Neural Network Training​
DESCRIPTION:The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is pleased to invite you to apply for a seat in four related Hands-on Artificial Intelligence/Deep Learning (AI/DL) Tutorials for Science and Engineering.\n\nInstructors:\n\nDr. Zhao Zhang\, Assistant Professor\, School of Engineering – ECE\nDr. Stephen K. Burley\, University Professor\, School of Arts and Sciences – C&CB\n\nDescription:\nFour hands-on tutorials will help prepare Rutgers graduate students\, postdocs\, faculty\, and RAD Collaboratory SURF undergraduate students for success in research utilizing Artificial Intelligence (AI) and Deep Learning (DL) tools in science and engineering. As part of the training program\, participants will use the Texas Advanced Computer Center (TACC) Frontera supercomputer for online hands-on exercises that reinforce learning from short\, informative lectures.\n\nTutorial Dates/Topics:\n\nSeptember 9 – Introduction to Deep Learning ​\nSeptember 16 – Introduction to PyTorch ​\nSeptember 30 NOTE: The September 30 session has been rescheduled to October 7 – Distributed Neural Network Training​\nOctober 14 – Large Language Models and their Applications in Science and Engineering\n\n\nRutgers graduate students\, postdocs\, faculty\, and ​RAD Collaboratory SURF undergraduate students are eligible to apply. Tutorials will be limited to 50 participants. ​\n\nWe will be using TACC Frontera RTX 5000 GPUs for all four Tutorials. You must have a Frontera account to run the hands-on exercises. Participants who do not already have a TACC account must request one at https://tacc.utexas.edu/use-tacc/getting-started/.\nGetting approval and setting up the multi-factor authentication may take a few days.\n\nThe tutorials are the same as the sessions that were held in Spring 2025. If you already participated in the Spring 2025 sessions\, please do not apply.\n\nApplications are due by Monday\, September 1 at 5:00pm EDT. Apply at: http://go.rutgers.edu/ai-dl-tutorials
URL:https://radcollaboratory.rutgers.edu/event/ai-dl-sept30/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251007T140000
DTEND;TZID=UTC:20251007T153000
DTSTAMP:20260503T191039
CREATED:20251013T131252Z
LAST-MODIFIED:20251013T131252Z
UID:2620-1759845600-1759851000@radcollaboratory.rutgers.edu
SUMMARY:R for Data Analysis: A tidyverse Approach
DESCRIPTION:This session introduces the R statistical software environment\, basic methods of data analysis\, and the “tidyverse.” While R is much more than the tidyverse\, the development of the tidyverse packages\, led by RStudio\, has provided a powerful and connected toolkit to get started using R. Note that graphics and data manipulation are covered in subsequent sessions. \nWorkshop conducted via Zoom.  Register to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/data_R \nInstructor: Ryan Womack \n\n  \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack
URL:https://radcollaboratory.rutgers.edu/event/r-for-data-analysis-a-tidyverse-approach/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251008T153000
DTEND;TZID=UTC:20251008T170000
DTSTAMP:20260503T191039
CREATED:20251013T131657Z
LAST-MODIFIED:20251013T155507Z
UID:2619-1759937400-1759942800@radcollaboratory.rutgers.edu
SUMMARY:Data Sources 1
DESCRIPTION:Data Sources 1 (major data resources\, locating data\, with focus on diversity and data for minoritized and underrepresented groups)\n\n\nOverview of major data resources\, methods of locating data\, with focus on diversity and data for minoritized and underrepresented groups \nWorkshop conducted via Zoom.  Register to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/data_topics \nInstructor: Ryan Womack \n\n  \n\nRelated LibGuide:  Data Topics by Ryan Womack
URL:https://radcollaboratory.rutgers.edu/event/2619/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251010T083000
DTEND;TZID=UTC:20251010T173000
DTSTAMP:20260503T191039
CREATED:20250821T080013Z
LAST-MODIFIED:20250821T152722Z
UID:2493-1760085000-1760117400@radcollaboratory.rutgers.edu
SUMMARY:5th Annual Rutgers Robotics Workshop 2025
DESCRIPTION:Faculty\, Students and Industry Participants are invited to join us for this annual event as part of the NSF National Research Traineeship SOCRATES (Socially Cognizant Robotics for a Technology Enhanced Society) at Rutgers. \n\nEvent Details\n\nDate: Friday\, October 10\, 2025\nLocation: Civic Square Building (33 Livingston Ave\, New Brunswick\, NJ)\nRegistration: Required (Free)\nRegistration Link: Register Here\n\nThis annual robotics workshop brings together faculty\, students\, and industry representatives featuring both internal and external speakers as well as a poster session for students to present their robotics research. \n\n\nWorkshop Agenda\n8:30 – 9:00 Check-in\n9:00 – 9:30 Introduction\n9:30 – 10:30 Plenary Speaker\, Dhruv Shah\, Google DeepMind\, UC Berkeley\n10:30 – 10:45 Poster Spotlight Talks\n10:45 – 11:45 Coffee break & Poster Session\n11:45 – 12:30 SOCRATES Faculty Lightning Talks: Socially Cognizant Robotics in Action\n12:30 – 1:30 Networking Lunch\n1:30 – 2:30 Industry/Alumni Lightning Talks: AI in industry\n2:30 – 3:15 Student Talks (NRT fellows/trainees)\n3:15 – 4:15 Afternoon Keynote\n4:30 – 5:30 Robot Demonstrations and Industry Consortium Discussion\n\n\n\nFeatured Speaker\n\n\n\n\n\nDhruv Shah\, PhD\nGoogle DeepMind & Incoming Assistant Professor at Princeton University \n“Evaluating and Improving Steerability of Generalist Robot Policies” \n\n\n\n\nBio\nDhruv Shah is a Senior Research Scientist at Google DeepMind and an incoming Assistant Professor at Princeton University. He recently obtained his PhD in EECS at UC Berkeley\, where he was advised by Sergey Levine. His research spans the fields of machine learning and robotics\, with the goal of building autonomous robots that can combine large-scale learning with real-world deployment. Dhruv is a Microsoft Future Leader in Robotics & AI (2024)\, Berkeley Fellow\, and his research has been nominated for and won several Best Paper Awards at premier robotics conferences like RSS and ICRA. His work has also been featured in several media outlets\, including IEEE Spectrum\, TechXplore\, and ZDNet\, along with several international venues. \n\n\nAbstract\nGeneral-purpose robot policies hold immense promise\, yet they often struggle to generalize to novel scenarios\, particularly struggling with grounding language in the physical world. In this talk\, I will first propose a systematic taxonomy of robot generalization\, providing a framework for understanding and evaluating current state-of-the-art generalist policies. This taxonomy highlights key limitations and areas for improvement. I will then discuss a simple idea for improving the steerability of these policies by improving language grounding in robotic manipulation and navigation. Finally\, I will present our recent effort in applying these principles to scaling up generalist policy learning for dexterous manipulation.
URL:https://radcollaboratory.rutgers.edu/event/socrates-wksp-2025/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Regional/National Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251013T120000
DTEND;TZID=UTC:20251013T130000
DTSTAMP:20260503T191039
CREATED:20251013T132536Z
LAST-MODIFIED:20251013T153430Z
UID:2616-1760356800-1760360400@radcollaboratory.rutgers.edu
SUMMARY:Data Science Basics: Intro to Python (Without the Scary)
DESCRIPTION:Registration is required. There are 13 seats available. This is an online event. Event URL will be sent via registration email. Click here to register. \nData Science Basics: Intro to Python (Without the Scary)\nCoding doesn’t have to be intimidating. Python is one of the easiest programming languages to learn\, and it’s used everywhere\, from apps to automation to data analysis. In this workshop\, we’ll start with the basics\, step by step\, and show you how Python can be applied to everyday problems in a way that’s simple and practical. By the end\, you’ll not only run your first Python code but also understand how learning this language can open new opportunities in study\, work\, and beyond. \nRelated LibGuide: Data Science – Graduate Specialists by Ryan Womack \n 
URL:https://radcollaboratory.rutgers.edu/event/data-science-basics-intro-to-python/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251014T093000
DTEND;TZID=UTC:20251014T143000
DTSTAMP:20260503T191039
CREATED:20250815T080031Z
LAST-MODIFIED:20250925T184612Z
UID:2471-1760434200-1760452200@radcollaboratory.rutgers.edu
SUMMARY:AI/DL Tutorials: Large Language Models and their Applications in Science and Engineering
DESCRIPTION:The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is pleased to invite you to apply for a seat in four related Hands-on Artificial Intelligence/Deep Learning (AI/DL) Tutorials for Science and Engineering.\n\nInstructors:\n\nDr. Zhao Zhang\, Assistant Professor\, School of Engineering – ECE\nDr. Stephen K. Burley\, University Professor\, School of Arts and Sciences – C&CB\n\nDescription:\nFour hands-on tutorials will help prepare Rutgers graduate students\, postdocs\, faculty\, and RAD Collaboratory SURF undergraduate students for success in research utilizing Artificial Intelligence (AI) and Deep Learning (DL) tools in science and engineering. As part of the training program\, participants will use the Texas Advanced Computer Center (TACC) Frontera supercomputer for online hands-on exercises that reinforce learning from short\, informative lectures.\n\nTutorial Dates/Topics:\n\nSeptember 9 – Introduction to Deep Learning ​\nSeptember 16 – Introduction to PyTorch ​\nSeptember 30 – Distributed Neural Network Training​\nOctober 14 – Large Language Models and their Applications in Science and Engineering\n\n\nRutgers graduate students\, postdocs\, faculty\, and ​RAD Collaboratory SURF undergraduate students are eligible to apply. Tutorials will be limited to 50 participants. ​\n\nWe will be using TACC Frontera RTX 5000 GPUs for all four Tutorials. You must have a Frontera account to run the hands-on exercises. Participants who do not already have a TACC account must request one at https://tacc.utexas.edu/use-tacc/getting-started/.\nGetting approval and setting up the multi-factor authentication may take a few days.\n\nThe tutorials are the same as the sessions that were held in Spring 2025. If you already participated in the Spring 2025 sessions\, please do not apply.\n\nApplications are due by Monday\, September 1 at 5:00pm EDT. Apply at: http://go.rutgers.edu/ai-dl-tutorials
URL:https://radcollaboratory.rutgers.edu/event/ai-dl-oct14/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251014T140000
DTEND;TZID=UTC:20251014T153000
DTSTAMP:20260503T191039
CREATED:20251013T132331Z
LAST-MODIFIED:20251013T162701Z
UID:2617-1760450400-1760455800@radcollaboratory.rutgers.edu
SUMMARY:Data Analysis 2 (statistical tests\, regression\, sampling\, bootstrap\, and more + comparison with Python)
DESCRIPTION:Registration is required. There are 15 seats available. This is an online event. Event URL will be sent via registration email.\n\nClick here to register: https://libcal.rutgers.edu/event/14867197\nData Analysis 2 (statistical tests\, regression\, sampling\, bootstrap\, and more + comparison with Python)\n\n\nThis 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. \nPart of the Data Topics series of workshops. \nWorkshop conducted via Zoom. Register to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/data_topics \nInstructor: Ryan Womack \n\n  \n\nRelated LibGuide:  Data Topics by Ryan Womack
URL:https://radcollaboratory.rutgers.edu/event/data-analysis-2-statistical-tests-regression-sampling-bootstrap-and-more-comparison-with-python/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251015T150000
DTEND;TZID=UTC:20251015T170000
DTSTAMP:20260503T191039
CREATED:20251013T131933Z
LAST-MODIFIED:20251013T154742Z
UID:2618-1760540400-1760547600@radcollaboratory.rutgers.edu
SUMMARY:R Data Wrangling with dplyr\, tidyr\, readr\, and more
DESCRIPTION:Registration is required. There are 13 seats available. This is an online event. Event URL will be sent via registration email.  Click here to register: https://libcal.rutgers.edu/event/14867415 \nR Data Wrangling with dplyr\, tidyr\, readr\, and more\n\n\nSome of the tidyverse’s most powerful features are its abilities to import\, filter\, and otherwise manipulate data.  This session reviews major packages within the tidyverse that relate to the essential data handling steps required before (and during) data analysis. \nWorkshop conducted via Zoom.  Register to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/data_R \nInstructor: Ryan Womack \n\n\nRelated LibGuide: Data Science – Graduate Specialists by Ryan Womack \n\nDate: Wednesday\, October 15\, 2025
URL:https://radcollaboratory.rutgers.edu/event/rdatawrangling/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251020T120000
DTEND;TZID=UTC:20251020T130000
DTSTAMP:20260503T191039
CREATED:20251008T131356Z
LAST-MODIFIED:20251013T162205Z
UID:2582-1760961600-1760965200@radcollaboratory.rutgers.edu
SUMMARY:Data Science Basics: Python Part 2- From Basics to Data
DESCRIPTION:This is an online event. Registration is required. There are 18 seats available. Click here to register \nData Science Basics: Python Part 2- From Basics to Data\nOnce you’ve taken your first steps with Python\, it’s time to do more. In this workshop\, we’ll go further into how Python can help you work with information. You’ll learn how to handle collections of data\, write simple reusable code\, and explore how to pull meaning out of datasets. By working hands-on with examples\, you’ll see how coding can become a useful everyday tool\, not just something for computer scientists. \nRelated LibGuide: Data Science – Graduate Specialists by Ryan Womack
URL:https://radcollaboratory.rutgers.edu/event/data-science-basics-python-part-2-from-basics-to-data/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251021T140000
DTEND;TZID=UTC:20251021T143000
DTSTAMP:20260503T191039
CREATED:20251008T142234Z
LAST-MODIFIED:20251013T162106Z
UID:2585-1761055200-1761057000@radcollaboratory.rutgers.edu
SUMMARY:R Graphics with ggplot2
DESCRIPTION:This is an online event. Registration is required.  Click here to register \n\n\nThe ggplot2 package from the tidyverse provides extensive and flexible graphical capabilities within a consistent framework.  This session introduces the main features of ggplot2. Some prior familiarity with R is assumed (packages\, structure\, syntax)\, but the presentation can be followed without this background. \nWorkshop conducted via Zoom.  Register to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/data_R \nInstructor: Ryan Womack \n\n\nRelated LibGuide: Data Science – Graduate Specialists by Ryan Womack
URL:https://radcollaboratory.rutgers.edu/event/r-graphics-with-ggplot2/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251022T153000
DTEND;TZID=UTC:20251022T170000
DTSTAMP:20260503T191039
CREATED:20251008T144533Z
LAST-MODIFIED:20251013T163246Z
UID:2588-1761147000-1761152400@radcollaboratory.rutgers.edu
SUMMARY:Data Publication 1 (creating reproducible research\, literate programming documents\, and using knitr\, Sweave\, blogdown\, and bookdown)
DESCRIPTION:This is an online event.  Registration is required.  Click here to register. \nData Publication 1 (creating reproducible research\, literate programming documents\, and using knitr\, Sweave\, blogdown\, and bookdown)\n\n\nThe RStudio environment enables the easy creation of documents in various formats (HTML\, DOC\, PDF) using Rmarkdown\, while knitr allows the incorporation of executable R code to produce the tables and figures in those documents. Sweave provides more advanced LaTeX typesetting\, while blogdown and bookdown allow the easy creation of formatted documents in both web-compatible and print formats. This session introduces these concepts and other packages and practices supporting reproducibility with the R environment. \nWorkshop conducted via Zoom.  Register to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/data_topics \nInstructor: Ryan Womack \n\n\nRelated LibGuide: Data Topics by Ryan Womack
URL:https://radcollaboratory.rutgers.edu/event/data-publication-1/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251024T143000
DTEND;TZID=UTC:20251024T160000
DTSTAMP:20260503T191039
CREATED:20251008T173652Z
LAST-MODIFIED:20251008T173652Z
UID:2596-1761316200-1761321600@radcollaboratory.rutgers.edu
SUMMARY:Python Foundations
DESCRIPTION:This is an online event. Registration is required. There are 28 seats available.  Click here to register. \nThis workshop introduces the core concepts of Python programming\, including syntax\, data types\, loops\, and functions. Participants will gain confidence in writing simple scripts and working with Python’s basic structures. \nWorkshop conducted via Zoom. Register to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/datascience/python \nInstructor: Parsa Keihan \n\nRelated LibGuide: Data Science – Graduate Specialists by Ryan Womack
URL:https://radcollaboratory.rutgers.edu/event/python-foundations/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251027T120000
DTEND;TZID=UTC:20251027T130000
DTSTAMP:20260503T191039
CREATED:20251013T132845Z
LAST-MODIFIED:20251013T161412Z
UID:2615-1761566400-1761570000@radcollaboratory.rutgers.edu
SUMMARY:Data Science Basics: Using AI Tools Effectively
DESCRIPTION:Registration is required. There are 13 seats available. This is an online event. Event URL will be sent via registration email. Click here to register. \nData Science Basics: Using AI Tools Effectively\nArtificial Intelligence is already part of your daily life\, from smart assistants to content recommendations\, but how can you use it for your own benefit? This beginner-friendly workshop explores free\, web-based AI tools that help with writing\, design\, productivity\, and more. You’ll experiment with different tools in real time and discover how AI can save time\, spark ideas\, and make your work easier. No prior knowledge or installations are required\, just curiosity and an open mind. \nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack
URL:https://radcollaboratory.rutgers.edu/event/data-science-basics-using-ai-tools-effectively/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251029T153000
DTEND;TZID=UTC:20251029T170000
DTSTAMP:20260503T191039
CREATED:20251013T133344Z
LAST-MODIFIED:20251013T160916Z
UID:2613-1761751800-1761757200@radcollaboratory.rutgers.edu
SUMMARY:Data Publication 2 (publishing to data repositories and creating R packages)
DESCRIPTION:Registration is required. There are 24 seats available. This is an online event. Event URL will be sent via registration email. Click here to register.\nData Publication 2 (publishing to data repositories and creating R packages)\n\n\nSharing your data and code is the essential step in maximizing the impact and usefulness of your research. \nThis workshop first reviews repositories for data publication such as Dataverse\, ICPSR\, OSF\, Zenodo\, and more. Then we turn to a detailed discussion of building R packages. \nR Packages are an excellent way to distribute collections of data and code. Following on the release of the 2nd edition of Hadley Wickham’s R Packages book\, this workshop reviews the package creation process\, covering prerequisites\, the steps involved in creating a complete package\, and following up on documentation and testing. \nPart of the Data Topics series of workshops. \nWorkshop conducted via Zoom. Register to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/data_topics \nInstructor: Ryan Womack \n\n  \n\nRelated LibGuide:  Data Topics by Ryan Womack
URL:https://radcollaboratory.rutgers.edu/event/data-publication-2-publishing-to-data-repositories-and-creating-r-packages/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251031T143000
DTEND;TZID=UTC:20251031T160000
DTSTAMP:20260503T191039
CREATED:20251013T141744Z
LAST-MODIFIED:20251013T160439Z
UID:2612-1761921000-1761926400@radcollaboratory.rutgers.edu
SUMMARY:Python for Data Handling: pandas & NumPy
DESCRIPTION:Registration is required. There are 25 seats available.  This is an online event. Event URL will be sent via registration email. Click here to register. \nPython for Data Handling: pandas & NumPy\n\nThis session focuses on using NumPy and pandas to handle and manipulate structured datasets. Participants will learn how to load\, clean\, and summarize data efficiently to prepare it for deeper analysis. \nWorkshop conducted via Zoom. Register to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/datascience/python \nInstructor: Parsa Keihan \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack
URL:https://radcollaboratory.rutgers.edu/event/python-for-data-handling-pandas-numpy/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
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