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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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TZID:UTC
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TZOFFSETTO:+0000
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DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20250407T140000
DTEND;TZID=UTC:20250407T153000
DTSTAMP:20260427T045829
CREATED:20250320T080037Z
LAST-MODIFIED:20250320T195528Z
UID:2237-1744034400-1744039800@radcollaboratory.rutgers.edu
SUMMARY:Training: Generative AI Applications with AI Agents
DESCRIPTION:Join Rutgers University Libraries for their “Generative AI Applications with AI Agents” training on Monday\, April 7\, 2025. \n\n\nThis workshop explores the integration of generative AI with autonomous agents to create innovative applications that can solve problems\, automate tasks\, and enhance creativity. Participants will learn how generative AI agents combine language models\, tools\, and APIs to perform complex tasks independently. \nWorkshop conducted via Zoom. Register at https://libcal.rutgers.edu/event/14015497 to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/datascience/python \nInstructor: Tanya Khanna \n\n\nTime & Location: \n\nDate:  Monday\, April 7\, 2025\nTime: 2:00pm – 3:30 pm\nLocation: This is an online event. Event URL will be sent via registration email.\n\n\n\nClick here for more information and to register.
URL:https://radcollaboratory.rutgers.edu/event/rul-april7/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250408T130000
DTEND;TZID=UTC:20250408T133000
DTSTAMP:20260427T045829
CREATED:20250320T080037Z
LAST-MODIFIED:20250320T195729Z
UID:2239-1744117200-1744119000@radcollaboratory.rutgers.edu
SUMMARY:Training: Digitization Basics
DESCRIPTION:Join Rutgers University Libraries for their “Digitization  Basics” training on Tuesday\, April 8\, 2025. \n\n\nQuestions to ask\, and things to think about before starting a digital project. \nRegistration link: https://go.rutgers.edu/fg4btz2m \n\n\nTime & Location: \n\nDate:  Tuesday\, April 8\, 2025\nTime: 1:00pm – 1:30 pm\nLocation: This is an online event. Event URL will be sent via registration email.\n\n\n\nClick here for more information and to register.
URL:https://radcollaboratory.rutgers.edu/event/training-digitization-basics/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250408T130000
DTEND;TZID=UTC:20250408T163000
DTSTAMP:20260427T045829
CREATED:20250207T080041Z
LAST-MODIFIED:20250408T131314Z
UID:1810-1744117200-1744129800@radcollaboratory.rutgers.edu
SUMMARY:Artificial Intelligence/Machine Learning Networking Event
DESCRIPTION:Join the RAD Collaboratory for a Networking Event focused on Artificial Intelligence/Machine Learning on Tuesday\, April 8\, 2025. \nRegistration: Click here to register – please register by Monday\, April 7. \n\nAgenda: Click here to download the agenda. \n\nLightning talks focused on the development and application of AI/ML tools\nBriefings on university\, regional\, and national cyberinfrastructure supporting AI/ML research and training opportunities\nSummary of federal\, state\, and private funding mechanisms for RAD partnerships\nLight networking reception\n\nRequest for Lightning Talks: For those who manage Rutgers AI/ML projects\, you are invited to submit a presentation title and summary to present a 5-minute Lightning Talk at the April 8 event when you register. Please indicate your interest by Sunday\, March 30 at 11:59pm EDT. You will be notified by Tuesday\, April 1 if you have been selected to present. \nTime & Location: \n\nDate:  Tuesday\, April 8\, 2025\nTime: 1:00 pm – 4:30 pm\nLocation: Room 120\, Institute for Quantitative Biomedicine (building labeled Proteomics).\n\n\n\nParking: \n\n\nRutgers Students\, Staff\, and Faculty:  Please adhere to parking permit restrictions. Faculty and staff with valid permits may park in the Faculty and Staff lots across campus. Please adhere to parking permit restrictions. Faculty and staff with valid permits may park in the Faculty & Staff lots across all campuses.\n\nLot 58: 165 Bevier Rd\, Piscataway\, NJ 08854\nLots A\, B\, and C: 679 Hoes Lane West\, Piscataway\, NJ 08854\n\n\n\n\nParticipants not affiliated with Rutgers: Please contact the IQB Building Manager\, Hank Wojciechowski\, at henry.wojciechowski@rutgers.edu with the following information: License State; License Number; Make; Model; Year; Color; and Registered Owner of Vehicle. Parking for participants not affiliated with Rutgers will be available in Lots A\, B\, and C (Address: 679 Hoes Lane West\, Piscataway\, NJ 08854). Important Reminder: Please adhere to parking lot signage\, as an ePermit does not override signage such as “guaranteed” or “reserved” parking.\n\n\n\n\nRutgers Bus System: If you’re using the Rutgers bus system\, the Alison Road Classroom (ARC) Building/Science Buildings bus stop is a short walk to IQB. The C\, REXB\, B\, A\, H\, and BL bus routes all stop at ARC. \nQuestions: Contact Michelle Sanghera at msanghera@iqb.rutgers.edu
URL:https://radcollaboratory.rutgers.edu/event/ai-networking/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250411T133000
DTEND;TZID=UTC:20250411T143000
DTSTAMP:20260427T045829
CREATED:20250210T080040Z
LAST-MODIFIED:20250404T182323Z
UID:1851-1744378200-1744381800@radcollaboratory.rutgers.edu
SUMMARY:RAISE-25 Panel Discussion: "AI's Impact on Data Science & Informatics Careers"
DESCRIPTION:The Rutgers Edward J. Bloustein School of Planning and Public Policy’s Master of Public Informatics is hosting the RAISE-25 Competition on Friday\, April 11\, 2025. \nAll are invited for an exciting panel discussion exploring the impact of Artificial Intelligence on data science and how informatics careers and job search. Industry leaders and experts will share insights on how AI is reshaping job roles\, which skills are in demand\, and how professionals can stay ahead in this evolving landscape. \nPanelists: \n\n\nCorey Yemen\, Senior Research Fellow\, Center for Appraisal Research and Technology (CART)\, and Director of Data Science at Labcorp\nPoonam Soans\, Chief Data Officer and Director of Application Development\, State of New Jersey\nBalaji Dhamodharan\, Senior Principal Data Scientist\, NXP Semiconductors\, leading MLOps strategy and AI/ML solutions\nUdayan Bose\, Co-founder & CEO\, NetElixir\nKarun Thankachan\, Senior Data Scientist\, Walmart\nMadhumitha Karthikeyan\, Senior Software Engineer III\, Blackhawk Networks\nJim Samuel\, Associate Professor and Executive Director\, Public Informatics\, Rutgers\n\n\n\nLocation: Gov. Florio Forum\, Edward J. Bloustein School of Planning and Public Policy\, 33 Livingston Avenue\, New Brunswick\, NJ 08901 \nFor more information and to register\, visit go.rutgers.edu/RAISE-25-panel \n 
URL:https://radcollaboratory.rutgers.edu/event/raise-25-competition/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250414T140000
DTEND;TZID=UTC:20250414T153000
DTSTAMP:20260427T045829
CREATED:20250320T080036Z
LAST-MODIFIED:20250320T195945Z
UID:2241-1744639200-1744644600@radcollaboratory.rutgers.edu
SUMMARY:Training: Building Intelligent Recommendation Systems
DESCRIPTION:Join Rutgers University Libraries for their “Building Intelligent Recommendation Systems” training on Monday\, April 14\, 2025. \n\n\nDive into the fascinating world of recommender systems\, the backbone of personalized experiences in today’s digital age. In this workshop\, you’ll uncover how platforms like Netflix\, Amazon\, and Spotify predict what users want. Participants will gain insights into popular algorithms\, including collaborative and content-based filtering\, and apply these techniques to create intelligent recommendation solutions. \nWorkshop conducted via Zoom. Register at https://libcal.rutgers.edu/event/14015499 to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/datascience/python \nInstructor: Tanya Khanna \n\n\nTime & Location: \n\nDate:  Monday\, April 14\, 2025\nTime: 2:00pm – 3:30 pm\nLocation: This is an online event. Event URL will be sent via registration email.\n\n\n\nClick here for more information and to register.
URL:https://radcollaboratory.rutgers.edu/event/rul-april14/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250415T093000
DTEND;TZID=UTC:20250415T143000
DTSTAMP:20260427T045829
CREATED:20250207T080039Z
LAST-MODIFIED:20250207T205935Z
UID:1821-1744709400-1744727400@radcollaboratory.rutgers.edu
SUMMARY:AI/DL Tutorials: Distributed Neural Network Training
DESCRIPTION:The RAD Collaboratory is pleased to invite you to apply for a seat in four related Hands-on Artificial Intelligence/Deep Learning (AI/DL) Tutorials. \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 of Training Program:\nFour related in-person hands-on tutorials scheduled throughout Spring Semester 2025 will help prepare Rutgers masters students\, PhD students\, postdoctoral fellows\, and faculty for success in research utilizing Artificial Intelligence (AI) and Deep Learning (DL) tools. We will use the Frontera supercomputer for hands-on exercises that reinforce learnings from short informative lectures. \nTutorial Dates/Topics:\nI. February 18th – Introduction to Deep Learning\nII. March 18th – Introduction to PyTorch\nIII. April 15th – Distributed Neural Network Training\nIV. April 29th – Large Language Models and their Applications in Science and Engineering \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. Applicants who do not already have a TACC account must request one at https://tacc.utexas.edu/portal/login?from=/portal/. Getting approval and setting up the multi-factor authentication may take a few days. \nTutorials will be limited to 50 participants. Apply at: https://go.rutgers.edu/4gxadebw. Applications are due by Wednesday\, February 12\, 2025 at 11:59pm EST.
URL:https://radcollaboratory.rutgers.edu/event/ai-dl-distributed-neural-network/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250416T120000
DTEND;TZID=UTC:20250416T130000
DTSTAMP:20260427T045829
CREATED:20250414T080012Z
LAST-MODIFIED:20250416T144334Z
UID:2295-1744804800-1744808400@radcollaboratory.rutgers.edu
SUMMARY:Seminar: Diamond: Democratizing Large Foundation Model Training for Science
DESCRIPTION:The Rutgers University Institute for Quantitative Biomedicine in collaboration with the RAD Collaboratory and the Protein Data Bank invite you to the following seminar: \n  \nZhao Zhang\, Rutgers University \nDiamond: Democratizing Large Foundation Model Training for Science \nWednesday\, April 16 | 12:00 PM \nIn Person: Proteomics Building\, Room 120\nZoom: go.rutgers.edu/gvyyc2xu \nAbstract: \nDiamond is a service designed to facilitate large model training across GPU clusters for scientists. It exposes web user interface to build container images\, manage training jobs\, monitor job progress\, and manage data and provenance across clusters. Diamond relies on Globus Auth\, Globus Transfer/Search\, and Globus Compute for authentication\, data management\, and container/job management. So far\, Diamond has been tested on NCSA Delta\, TACC Frontera\, and Lonestar6. We aim to release the alpha version of Diamond in early April and to support all NAIRR Pilot GPU resources. In this talk\, I will show a demo of running OpenFold using Diamond and discuss various opportunities of applying modern deep learning techniques for structural biology.
URL:https://radcollaboratory.rutgers.edu/event/seminar-april16/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250417T100000
DTEND;TZID=UTC:20250417T110000
DTSTAMP:20260427T045829
CREATED:20250320T080052Z
LAST-MODIFIED:20250320T200228Z
UID:2243-1744884000-1744887600@radcollaboratory.rutgers.edu
SUMMARY:Training: Sensus Access/Reformatting your documents
DESCRIPTION:Join Rutgers University Libraries for their “Sensus Access/Reformatting your documents” training on Thursday\, April 17\, 2025. \n\n\nJoin us for a hands-on training session on making your documents more accessible! We’ll explore Sensus Access\, a powerful tool that converts PDFs into more accessible formats. We’ll also cover other ways to reformat your documents\, including using built-in features in popular software like Microsoft Office and Adobe Acrobat. By the end of this session\, you’ll have the skills and confidence to make your documents more readable and usable for everyone\, regardless of their abilities. \n\n\nTime & Location: \n\nDate:  Thursday\, April 17\, 2025\nTime: 10:00am – 11:00 am\nLocation: This is an online event. Event URL will be sent via registration email.\n\n\n\nClick here for more information and to register.
URL:https://radcollaboratory.rutgers.edu/event/rul-april17/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250417T150000
DTEND;TZID=UTC:20250417T163000
DTSTAMP:20260427T045829
CREATED:20250320T080045Z
LAST-MODIFIED:20250320T200415Z
UID:2245-1744902000-1744907400@radcollaboratory.rutgers.edu
SUMMARY:Training: R Data Wrangling
DESCRIPTION:Join Rutgers University Libraries for their “R Data Wrangling” training on Thursday\, April 17\, 2025. \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 at https://libcal.rutgers.edu/event/13353261 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\nTime & Location: \n\nDate:  Thursday\, April 17\, 2025\nTime: 3:00am – 4:30 pm\nLocation: This is an online event. Event URL will be sent via registration email.\n\n\n\nClick here for more information and to register.
URL:https://radcollaboratory.rutgers.edu/event/rul-april17-2/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250426
DTEND;VALUE=DATE:20250427
DTSTAMP:20260427T045829
CREATED:20250210T080011Z
LAST-MODIFIED:20250210T184529Z
UID:1842-1745625600-1745711999@radcollaboratory.rutgers.edu
SUMMARY:Rutgers Day
DESCRIPTION:Visit the RAD Collaboratory table at Rutgers Day on Saturday\, April 26\, 2025! \nThe table will be located on the Busch campus.
URL:https://radcollaboratory.rutgers.edu/event/rutgers-day/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250429T093000
DTEND;TZID=UTC:20250429T143000
DTSTAMP:20260427T045829
CREATED:20250207T080050Z
LAST-MODIFIED:20250207T210128Z
UID:1823-1745919000-1745937000@radcollaboratory.rutgers.edu
SUMMARY:AI/DL Tutorials: Large Language Models and their Applications in Science and Engineering
DESCRIPTION:The RAD Collaboratory is pleased to invite you to apply for a seat in four related Hands-on Artificial Intelligence/Deep Learning (AI/DL) Tutorials. \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 of Training Program:\nFour related in-person hands-on tutorials scheduled throughout Spring Semester 2025 will help prepare Rutgers masters students\, PhD students\, postdoctoral fellows\, and faculty for success in research utilizing Artificial Intelligence (AI) and Deep Learning (DL) tools. We will use the Frontera supercomputer for hands-on exercises that reinforce learnings from short informative lectures. \nTutorial Dates/Topics:\nI. February 18th – Introduction to Deep Learning\nII. March 18th – Introduction to PyTorch\nIII. April 15th – Distributed Neural Network Training\nIV. April 29th – Large Language Models and their Applications in Science and Engineering \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. Applicants who do not already have a TACC account must request one at https://tacc.utexas.edu/portal/login?from=/portal/. Getting approval and setting up the multi-factor authentication may take a few days. \nTutorials will be limited to 50 participants. Apply at: https://go.rutgers.edu/4gxadebw. Applications are due by Wednesday\, February 12\, 2025 at 11:59pm EST.
URL:https://radcollaboratory.rutgers.edu/event/ai-dl-llm/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250508T100000
DTEND;TZID=UTC:20250508T173000
DTSTAMP:20260427T045829
CREATED:20250507T080016Z
LAST-MODIFIED:20250508T141421Z
UID:2392-1746698400-1746725400@radcollaboratory.rutgers.edu
SUMMARY:DESIGN JUSTICE AI: Global Humanities Post-Institute
DESCRIPTION:DESIGN JUSTICE AI: Global Humanities Post-Institute \nThursday\, May 8\, 10am-5:30pm \nLocation: 302 Murray Hall\, George St. \nWe conclude last July’s Mellon-CHCI Global Humanities Institute with a post-institute that features four panels from our continuing work in DESIGN JUSTICE AI. \n\nProgram\nPanel 1: DESIGN JUSTICE AI: Why the Local Matters \n10am-11:30 Eastern \nFor hybrid registration\, click here.  \nVukosi Marivate (U Pretoria) and Happy Buzaaba (Princeton) discuss recent work on adapting large language models for Natural Language Processing tasks in “low-resource” African languages. \nModerator: Eleni Coundouriotis \nCoffee Break \nPanel 2: DESIGN JUSTICE NOW! (Lunch will be served for in-person attendees!)  \n12:00pm-1:30 Eastern \nFor hybrid registration\, click here. \nWes Taylor and Nour Arafat from Design Justice Network describe how design justice principles can intersect with “AI” developments inside the academy and beyond it. \nModerator: Daniel Estrada \nCoffee Break \nPanel 3: DESIGN JUSTICE ONTOLOGIES  \n2:00pm-3:30 Eastern \nFor hybrid registration\, click here. \nDalaki Livingston (U Utah) and Chloë Kitzinger (Rutgers) will discuss new ontological and epistemological perspectives on AI\, from Indigenous philosophies to the writings of Dostoevsky. \nModerator: David Hughes \nCoffee Break \nPanel 4: BENCHMARKING INTELLIGENCE: An Interdisciplinary Approach\, 4:00pm-5:30 Eastern \nFor hybrid registration\, click here. \nWebb Keane (U Michigan) joins  Lauren M.E. Goodlad (Rutgers) and Matthew Stone (Rutgers) to discuss ideas for the “benchmarking” of machine intelligence drawn from anthropology and comparative literature. \nModerator: Colin Jager \nReception \n 
URL:https://radcollaboratory.rutgers.edu/event/design-justice-may8/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250508T130000
DTEND;TZID=UTC:20250508T173000
DTSTAMP:20260427T045829
CREATED:20250307T080040Z
LAST-MODIFIED:20250307T205919Z
UID:2100-1746709200-1746725400@radcollaboratory.rutgers.edu
SUMMARY:Workshop: Enhancing PDB Deposition and Validation Practices
DESCRIPTION:Join the RAD Collaboratory and the RCSB PDB at Rutgers for a hands-on workshop for depositors at all stages of PDB data submission on Thursday\, May 8\, 2025. \nAttendees will become proficient in leveraging various OneDep features and tools\, including ORCiD management\, validating data\, submitting batches of structures\, and completing depositions with minimal manual input. \nRegistration: Click here to register \n\n  \n\n\nAgenda:  \n1:00pm: Preparing PDBx/mmCIF files; validating structures before deposition; and OneDep overview \n2:00pm: Tutorial 1: Prepare\, validate\, and correct errors \n3:00pm: Coffee Break \n3:15pm: Tutorial 2: Making OneDep easy: ORCiD features\, checking sequences and ligands\, reviewing validation \n4:30pm: Discussion: Share your stories (all participants); One-on-one help provided where possible. \n5:30pm: Conclusion and Acknowledgements \nTime & Location: \n\nDate:  Thursday\, May 8\, 2025\nTime: 1:00 pm – 5:30 pm\nLocation: Room 120\, Institute for Quantitative Biomedicine (building labeled Proteomics).\n\n\n\nParking: \n\n\nRutgers Students\, Staff\, and Faculty:  Please adhere to parking permit restrictions. Faculty and staff with valid permits may park in the Faculty and Staff lots across campus. Please adhere to parking permit restrictions. Faculty and staff with valid permits may park in the Faculty & Staff lots across all campuses.\n\nLot 58: 165 Bevier Rd\, Piscataway\, NJ 08854\nLots A\, B\, and C: 679 Hoes Lane West\, Piscataway\, NJ 08854\n\n\n\n\nParticipants not affiliated with Rutgers: Please contact the IQB Building Manager\, Hank Wojciechowski\, at henry.wojciechowski@rutgers.edu with the following information: License State; License Number; Make; Model; Year; Color; and Registered Owner of Vehicle. Parking for participants not affiliated with Rutgers will be available in Lots A\, B\, and C (Address: 679 Hoes Lane West\, Piscataway\, NJ 08854). Important Reminder: Please adhere to parking lot signage\, as an ePermit does not override signage such as “guaranteed” or “reserved” parking.\n\n\n\n\nRutgers Bus System: If you’re using the Rutgers bus system\, the Alison Road Classroom (ARC) Building/Science Buildings bus stop is a short walk to IQB. The C\, REXB\, B\, A\, H\, and BL bus routes all stop at ARC. \nQuestions: Contact info@rcsb.org.
URL:https://radcollaboratory.rutgers.edu/event/pdb-deposition-validation/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250509T110000
DTEND;TZID=UTC:20250509T180000
DTSTAMP:20260427T045829
CREATED:20250507T080052Z
LAST-MODIFIED:20250508T141440Z
UID:2394-1746788400-1746813600@radcollaboratory.rutgers.edu
SUMMARY:DESIGN JUSTICE AI: DiscoTECH
DESCRIPTION:DESIGN JUSTICE AI: DiscoTECH \nFriday\, May 9\, 2025\n11am-6pm \nZimmerli Art Museum\nRutgers University\n71 Hamilton Street\, New Brunswick \nThe DiscoTECH showcases a design justice approach to engagement with generative AI. Learn more about community-facing research\, critical AI literacies\, and the future of human-technology interaction. \nAsk questions and discuss concerns over AI in the coolest way possible: with Rutgers student researchers\, artists\, and other experts. \nFree and open to the public!\nKids\, neighbors\, friends and parents are warmly welcomed! \nProgram \n11:30am – 11:45am\nOpening Remarks\nLauren M. E. Goodlad (English)\, Chloë Kitzinger (Comparative Literature)\, Matthew Stone (Computer Science) \n11:45am – 1:45pm\nKEYNOTE LECTURE\nMolly Crabapple\, award-winning artist and activist\, will talk about the future of art and the human at a time of generative Al.\nIntroduced by Rachel Gill \n2pm – 6pm\nDesign Justice Network DiscoTECH\nImagine a high-tech science fair but with music and art! This unique social space\, organized around the idea of design justice\, is geared toward demystifying technology\, exchanging knowledge\, and building community. Researchers\, artists and musicians look forward to sharing their work\, answering your questions\, and brainstorming your ideas. All ages are welcome! \nSpecial Honored Guests\nJoin us in congratulating our 2025 Inaugural DESIGN JUSTICE LAB Fellows\, supported by the chancellor’s new PERC program. Fellows from across the Rutgers campus showcase their ongoing research projects devoted to exploring the future of technology and inspired by design justice principles.
URL:https://radcollaboratory.rutgers.edu/event/design-justice-may9/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250516T083000
DTEND;TZID=UTC:20250516T153000
DTSTAMP:20260427T045829
CREATED:20250210T080040Z
LAST-MODIFIED:20250501T195524Z
UID:1830-1747384200-1747409400@radcollaboratory.rutgers.edu
SUMMARY:New Jersey Big Data Alliance Symposium
DESCRIPTION:Join the New Jersey Big Data Alliance for their annual symposium on Friday\, May 16\, 2025. The theme of this year’s symposium is “Empowered by AI: Innovation and the Rise of the Augmented Workforce.” Rutgers University is a NJ Big Data Alliance academic member. \nRegistration: Click here to register for the symposium. Rutgers faculty and staff can register as “NJBDA Academic Member Registration.” Students are free. \nDescription:  A collaborative forum for information sharing\, networking\, research\, and discovery of how intelligent technologies are transforming the workplace. This dynamic symposium will delve into the transformative power of AI\, showcasing how it empowers workers to unlock unprecedented levels of creativity\, innovation\, and impact. Don’t miss this opportunity to connect\, learn\, and lead the charge in building a future where humans and AI work together to achieve remarkable success! \nKeynote speakers: \n\nRajeeve Kaul\, Corp Vice President – Global Pricing Offer\, McDonald’s\nLawrence Lee\, Senior Director\, Strategic Development\, SRI International\n\nTime & Location: \n\nDate:  Friday\, May 16\, 2025\nTime: 8:30am – 3:30 pm\nLocation: William Paterson University\, John Victor Machuga Student Center\, 300 Pompton Road\, Wayne\, NJ 07470\n\n\n\nQuestions?: Please contact selenny.m.fabre@njit.edu \nCall for Research Presentations: The call for research presentations is now open. Abstracts are due on EasyChair by March 25\, 2025. \n\nCall for Student Posters: The call for student posters is now open. Abstracts must be submitted by completing this form by April 18\, 2025. \nAttention Graduate and Undergraduate Students \nCapitalize on this opportunity to present your research and potentially win an award at the student poster competition. This is a great opportunity for you to network\, promote yourself and your research\, and practice your presentation skills. \nPlease note you must be registered for the symposium to participate. Students attending two-year and four-year institutions are free. \nStudent Poster Submission Timeline: \n\nFriday\, May 2\, 2025: Abstract submissions are due. (extended from April 18!)\nTuesday\, May 6\, 2025: Digital poster submissions are due.\nFriday\, May 16\, 2025: Bring your 36″ wide x 48″ high pre-printed paper poster to the event.\n\n\n 
URL:https://radcollaboratory.rutgers.edu/event/njbda2025/
LOCATION:NJ
CATEGORIES:Regional/National Events
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250602
DTEND;VALUE=DATE:20250607
DTSTAMP:20260427T045829
CREATED:20250428T080004Z
LAST-MODIFIED:20250528T155002Z
UID:2314-1748822400-1749254399@radcollaboratory.rutgers.edu
SUMMARY:Summer Boot Camp: Introduction to Basic Statistical Analysis Methods for Biological and Biomedical Researchers
DESCRIPTION:5/28/2025 UPDATE: Due to low enrollment\, this boot camp has been cancelled. Information on future offerings is forthcoming. \n  \n\nThe Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory in partnership with the Rutgers Office of Statistical Consulting invite you to apply for the “Introduction to Basic Statistical Analysis for Biomedical Researchers” course. The RAD Collaboratory is a New Brunswick Chancellor Signature Initiative overseen by the Office of the Vice Provost for Research (OVPR) that fosters collaborative data science and artificial intelligence/machine learning research\, student programming\, and community engagement in partnership with related initiatives across Rutgers. \nThis one-credit summer Boot Camp course is designed specifically for researchers in the biological and biomedical sciences who are looking for a time-efficient\, practical introduction to core statistical methods commonly used in analyzing biological and biomedical data. The Boot Camp will focus on real-world problems that researchers frequently encounter — such as comparing treatment groups\, analyzing associations\, interpreting p-values and confidence intervals\, and handling non-normally distributed data. Topics to be covered will include essential tools like t-tests\, chi-squared tests\, non-parametric alternatives (e.g.\, Wilcoxon rank-sum and Kruskal-Wallis tests)\, basic regression models\, and power analysis\, all of which will be demonstrated through hands-on exercises using relevant biodata. The Boot Camp is ideal for those who may have had some prior exposure to statistics but want/need clearer guidance on applying the right methods to the right problems in their research. Participants will gain a deeper understanding of statistical analysis\, allowing them to avoid common errors and make more informed decisions when interpreting biodata\, facilitating higher-quality\, more-reproducible research and increased opportunities for publication in prestigious journals. \nRegistration is limited. Application process details below. \nDates: June 2-6\, 2025 \nLocation: Rutgers University\, Proteomics Building\, Busch Campus \nThe Experience:\n\nOver the period of 5 full days\, students will gain a foundational understanding of essential statistical analysis methods.  The format is 90 – 100 minutes lecture\, plus 60 – 75 minutes for computer lab/software use each day.  Students need to bring their own laptops\n\nWho Should Participate:\n\nGraduate students\, advanced undergraduates\, postdoctoral trainees\, and other scientists interested in learning or relearning statistical analysis.\n\nApplications/Acceptance:\n\nSend an email to iqb-bootcamp@rcsb.org by Monday\, April 28th that includes:\n\na brief statement (up to 100 words) outlining your research interests and how you anticipate using statistical analysis in future research\nresume\nan unofficial transcript\n\n\n\nAccepted participants will be notified starting Monday\, May 5th and no later than Monday\, May 12th. Participants will be provided a Special Permission Number for registration purposes. \nRegistration: \n\nAccepted students must register at nbregistrar.rutgers.edu for the IQB Summer Boot Camp.\n\n  \nFor more information\, visit https://iqb.rutgers.edu/bootcamp-2025 
URL:https://radcollaboratory.rutgers.edu/event/summer-boot-camp-2025/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250627T130000
DTEND;TZID=UTC:20250627T163000
DTSTAMP:20260427T045829
CREATED:20250613T080038Z
LAST-MODIFIED:20250613T152817Z
UID:2405-1751029200-1751041800@radcollaboratory.rutgers.edu
SUMMARY:AI and Data Science Summer Networking Event
DESCRIPTION:Rutgers faculty\, staff\, and students are encouraged to attend\, especially those participating in summer research projects. \n\nEvent Details: \n\nDate: Friday\, June 27\nTime: 1:00 PM – 4:30 PM\nLocation: Room 120\, Institute for Quantitative Biomedicine Proteomics Building\, 174 Frelinghuysen Road\, Piscataway – Busch Campus (campus map)\nParking: Available in Lot 58 and Lots A\, B\, and C (parking map)\nTransit: A short walk from the Rutgers bus stop at Alison Road Classroom (ARC)\nRegister by June 25 at 5pm: go.rutgers.edu/rad_summer2025\n\nRequest for 2-minute Lightning Talks Focused on Research Collaboration: \nRutgers faculty and researchers are invited to present a 2-minute lightning talk describing their AI and data science research\, and how their work is conducted in collaboration with external partners (other academic institutions\, industry\, nonprofit organizations\, community-based organizations\, governmental agencies\, etc.). Please indicate your interest in presenting a lightning talk when you register. Requests for lighting talks are due on Thursday\, June 19 at 11:59pm EDT. You will be notified by Monday\, June 23 if you’re selected to present. \nAbout the RAD Collaboratory: \nThe RAD Collaboratory is a Chancellor Signature Initiative at Rutgers–New Brunswick\, overseen by the Office of the Vice Provost for Research (OVPR). It supports collaborative research in data science and AI/machine learning\, student programming\, and community engagement. \nIf you have any questions about this event\, please contact Tracy Higgins at t.higgins@echo.rutgers.edu.
URL:https://radcollaboratory.rutgers.edu/event/summer-networking/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250731T100000
DTEND;TZID=UTC:20250731T133000
DTSTAMP:20260427T045829
CREATED:20250720T080038Z
LAST-MODIFIED:20250811T195918Z
UID:2425-1753956000-1753968600@radcollaboratory.rutgers.edu
SUMMARY:Summer Research Symposium
DESCRIPTION:The 2025 Summer Research Symposium will be held on Thursday\, July 31\, 2025\, from 10am to 1:30pm at the Alexander Library\, 169 College Avenue\, New Brunswick\, NJ 08901. \nThe Summer Research Symposium is hosted by the Aresty Research Center\, IDEA\, McNair\, RAD Collaboratory and RISE at RU-New Brunswick. \nA luncheon reception will follow at 95 Joyce Kilmer Piscataway\, NJ Livingston Apartments Building C – Community Lounge. \nRegister here. \n  \nParking Information: \nAlexander Library: Visitors may park in Lots 26\, 30 & College Avenue Deck. \nLivingston Apts C\, 1st Floor Lounge: Visitors may park in Lots Green & Yellow.
URL:https://radcollaboratory.rutgers.edu/event/summer-symposium-2025/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250815
DTEND;VALUE=DATE:20250818
DTSTAMP:20260427T045829
CREATED:20250812T080052Z
LAST-MODIFIED:20250813T205615Z
UID:2429-1755216000-1755475199@radcollaboratory.rutgers.edu
SUMMARY:2025 International Conference on Information Technology and Quantitative Management 
DESCRIPTION:The 2025 International Conference on Information Technology and Quantitative Management (ITQM) will take place at Rutgers Business School on August 15-17 in New Brunswick. The theme of this year’s conference is “Merging Artificial Intelligence and Business Applications”. More details can be found at http://itqm-meeting.org/2025/ . \n\nThis conference series has been a global forum for exchanging research findings among scholars from Business and Engineering schools on the use of information technology and quantitative management techniques. Previously this conference has been held at Moscow\, Russia (2014); Rio de Janeiro\, Brazil (2015); Asan\, Korea (2016); New Delhi\, India (2017); Omaha\, USA (2018); Granada\, Spain (2019); Chengdu\, China (2020 & 2021); Beijing\, China (2022)\, Oxford\, United Kingdom (2023) and Bucharest\, Romania (2024). Several prominent members of the National Academy of Engineering will be speaking or attending the 2025 ITQM\, and seven business school deans and engineering school deans\, including those from RBS and RU Engineering\, will speak at the Dean’s panel on August 15. There will also be invited panels and sessions on AI in Marketing\, AI in finance\, statistical learning and optimization\, and llm\, agent and applications.\n\nIf you are interested in attending\, please use the following free registration link to register: https://docs.google.com/forms/d/e/1FAIpQLScjtrqi0uCWOYtBN5Nvi79uEtsTHEGlEsiF_BJkDJDnnAxVhw/viewform?usp=dialog (which is for Rutgers colleagues only).
URL:https://radcollaboratory.rutgers.edu/event/2025-international-conference-on-information-technology-and-quantitative-management/
LOCATION:NJ
CATEGORIES:Regional/National Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250909T093000
DTEND;TZID=UTC:20250909T110000
DTSTAMP:20260427T045829
CREATED:20250815T080016Z
LAST-MODIFIED:20250818T140650Z
UID:2465-1757410200-1757415600@radcollaboratory.rutgers.edu
SUMMARY:AI/DL Tutorials: Introduction to Deep Learning
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-sept9/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250915T180000
DTEND;TZID=UTC:20250915T191500
DTSTAMP:20260427T045829
CREATED:20250910T080047Z
LAST-MODIFIED:20250910T155323Z
UID:2525-1757959200-1757963700@radcollaboratory.rutgers.edu
SUMMARY:Webinar: AI AGENTS to the Rescue!?
DESCRIPTION:This webinar is hosted by the Master of Public Informatics (MPI) program at Rutgers University. Register at go.rutgers.edu/informaticsF25 
URL:https://radcollaboratory.rutgers.edu/event/webinar-sept15/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Regional/National Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250916T093000
DTEND;TZID=UTC:20250916T110000
DTSTAMP:20260427T045829
CREATED:20250815T080004Z
LAST-MODIFIED:20250818T140707Z
UID:2467-1758015000-1758020400@radcollaboratory.rutgers.edu
SUMMARY:AI/DL Tutorials: Introduction to PyTorch
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-sept-16/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250919T100000
DTEND;TZID=UTC:20250919T160000
DTSTAMP:20260427T045829
CREATED:20250904T080031Z
LAST-MODIFIED:20250904T144757Z
UID:2515-1758276000-1758297600@radcollaboratory.rutgers.edu
SUMMARY:Undergraduate Research Discovery Day: Resource Fair
DESCRIPTION:Undergraduate Research Discovery Day (URDD) offers undergraduates a dynamic\, hands-on introduction to research pathways\, programs\, and possibilities. During the URDD Kick-Off and Resource Fair on Friday\, September 19th\, students will learn about various research opportunities\, including ideal timelines for engaging in these activities. Faculty and student panel sessions highlight key engagement experiences\, as well as an undergraduate research resource fair. During Research Discovery Sessions (September 15-26)\, students have the opportunity to participate in smaller\, interactive sessions\, which may include: \n\nLab tours or research facility walk-throughs\nInformal chats about getting started in research\nProgram-specific introductions to research opportunities\n\nMore information is available at https://success.rutgers.edu/success-weeks/undergraduate-research-discovery-days.
URL:https://radcollaboratory.rutgers.edu/event/urdd-2025/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250920
DTEND;VALUE=DATE:20250922
DTSTAMP:20260427T045829
CREATED:20250912T080015Z
LAST-MODIFIED:20250912T133646Z
UID:2530-1758326400-1758499199@radcollaboratory.rutgers.edu
SUMMARY:Health in Climate AI Hackathon NYC
DESCRIPTION:The Health in Climate AI Hackathon is a first-of-its-kind event that brings together diverse teams with technical\, clinical\, climate\, business and policy backgrounds to work on real-world datasets and artifacts to create actionable solutions that address extreme heat\, severe weather\, air quality and sustainable operations. The event is on September 20 and 21\, 2025 at Cornell Tech in NYC. There are cash prizes worth $5K to be won\, with other exciting goodies. Food and beverages will be provided.\n\nParticipant Registration Link is here (deadline is 15 Sept)\n\nWebsite: https://www.healthinclimate.ai/
URL:https://radcollaboratory.rutgers.edu/event/hackathon-nyc/
LOCATION:NJ
CATEGORIES:Regional/National Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251006T113000
DTEND;TZID=UTC:20251006T193000
DTSTAMP:20260427T045829
CREATED:20250929T152809Z
LAST-MODIFIED:20250929T152858Z
UID:2558-1759750200-1759779000@radcollaboratory.rutgers.edu
SUMMARY:Amazon Web Services and Research
DESCRIPTION:Registration is required\, click here to register. \nClick here for more information. \n\nInviting all faculty and students\, bring your laptop and questions for our hands-on workshop meant to introduce you to how Amazon AI can help you in your work! \nThis workshop is designed for builders ready to create Agentic Workflows on AWS. Agentic Workflows enable large language models (LLMs) to act autonomously\, performing tasks or providing assistance on behalf of users. In this workshop\, you’ll learn to leverage capabilities in Amazon Bedrock to create chatbot workflows. Incorporate features such as orchestrator to manage multiple agents in parallel. This is a 300-level workshop. Familiarity with AWS Lambda\, using the terminal\, and Python coding is helpful. No AI/ML experience is necessary. \n11:30am – 1:00pm \nAI Research Overview with AWS\, Rutgers OIT and Rutgers Newark Chancellor Office Leaders. Food will be served. \n2:00pm – 4:00pm \nOffice Hours with AWS Leaders. \n\nSeparate sessions/rooms/space in Express Newark\nfor undergraduate students and career planning\nOffice hours for faculty researchers\nOffice hours for PhD students/candidates/postdocs\n\n5:30pm – 7:30pm \nHands on workshop with Amazon AI. Bring your laptop and questions! Food will be served.
URL:https://radcollaboratory.rutgers.edu/event/amazon-web-services-and-research/
LOCATION:Express Newark\, 54 Halsey St\, Newark\, NJ\, 07102\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251007T093000
DTEND;TZID=UTC:20251007T143000
DTSTAMP:20260427T045829
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:20251007T144500
DTSTAMP:20260427T045829
CREATED:20251006T194133Z
LAST-MODIFIED:20251006T204053Z
UID:2573-1759845600-1759848300@radcollaboratory.rutgers.edu
SUMMARY:Instrument Data Management and Automation (virtual event in partnership with Globus)
DESCRIPTION:REGISTER HERE »\n\n\n\nPlease contact Forough Ghahramani forough.ghahramani@njedge.net with any questions. \nPlease feel free to share with your networks. This event is part of the Edge Research Data Management Webinar Series in partnership with Globus. \nRachana Ananthakrishnan\,\nExecutive Director and Head of Products \nInstrument Data Management and Automation\nOctober 7\, 2025  •  2:00 – 2:45 PM (ET) \nManaging research data and compute tasks is increasingly complex and time-consuming\, especially with the scale of modern instruments and collaborative projects. This session offers a practical overview of how Globus services enable the automation of research data and compute management\, and thus eliminates repetitive manual steps and accelerates progress across every stage of the research data lifecycle. \nWe will present an overview of capabilities in the Globus platform for automation use cases\, including routine data backup and integrity checks\, end-to-end management of data from instruments such as cryoEM\, next-generation sequencers\, and fMRI. The presentation will share case studies where these services are used to support instrument data processing at scale from acquisition\, to analysis and publication\, and for cases where automation is used to enforce best practices and secure policies. \nPre-requisites: Some knowledge of Globus \nTarget Audience: Researchers\, IT professionals\, Developers\, Instrument facility managers \nAbout the Presenter: Rachana Ananthakrishnan leads the Globus department\, which delivers a research IT platform to national and international research institutions. She currently serves on the Internet2 InCommon Steering Committee\, Earth System Grid Federation Executive Committee\, and Scientific Advisory Board for National Microbiome Data Collaborative. \nHer work is focused on cyberinfrastructure for enabling research across a variety of domains\, and she has led security and data management for several NSF\, DOE\, and NIH funded initiatives. Rachana was a member of the Globus Toolkit engineering team and customer engagement teams\, leading the efforts in web services and security technologies. Rachana received her MS in Computer Science at Indiana University\, Bloomington. \nAbout Edge\nEdge serves as a member-owned\, nonprofit provider of high performance optical fiber networking and internetworking\, Internet2\, and a vast array of best-in-class technology solutions for cybersecurity\, educational technologies\, cloud computing\, and professional managed services. Edge provides these solutions to colleges and universities\, K-12 school districts\, government entities\, hospital networks and nonprofit business entities as part of a membership-based consortium. Edge’s common good mission ensures success by empowering members for digital transformation with affordable\, reliable and thought-leading purpose-built\, advanced connectivity\, technologies and services. \nwww.njedge.net
URL:https://radcollaboratory.rutgers.edu/event/instrument-data-management/
LOCATION:NJ
CATEGORIES:Regional/National Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251007T140000
DTEND;TZID=UTC:20251007T153000
DTSTAMP:20260427T045829
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:20260427T045829
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:20260427T045829
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
END:VCALENDAR