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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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BEGIN:VTIMEZONE
TZID:UTC
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TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20260101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20260126T160000
DTEND;TZID=UTC:20260126T170000
DTSTAMP:20260424T035543
CREATED:20260121T134549Z
LAST-MODIFIED:20260121T134549Z
UID:2736-1769443200-1769446800@radcollaboratory.rutgers.edu
SUMMARY:Introduction to Zotero
DESCRIPTION:Zotero is a free application that collects\, manages\, and formats citations and bibliographies. In this introductory\, hands-on workshop\, we’ll learn how to create collections for different projects\, attach PDFs and notes to references\, tag references for easy searching\, and generate citations and bibliographies. Please download Zotero 7.0 for your OS and the connector for your favorite browser. \nInstructor: Francesca Giannetti\, Digital Humanities Librarian \n\nRelated LibGuide:  Zotero by Mei Ling Lo \nThis is an online event. Event URL will be sent via registration email.
URL:https://radcollaboratory.rutgers.edu/event/introduction-to-zotero/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260128T123000
DTEND;TZID=UTC:20260128T133000
DTSTAMP:20260424T035543
CREATED:20260121T141325Z
LAST-MODIFIED:20260121T141325Z
UID:2738-1769603400-1769607000@radcollaboratory.rutgers.edu
SUMMARY:Introduction to EndNote
DESCRIPTION:Learn how to use EndNote 2025\, a citation management software to help you organize your citations and generate a bibliography in a snap. In this workshop\, you will learn how to download EndNote 2025\, capture references from databases such as PubMed and Google Scholar\, create a library\, and more importantly\, use EndNote 2025 to help you cite references while you are writing a paper in Microsoft Word. \nPresenter: Mei Ling Lo (Science Research Librarian) \n\nRelated LibGuide:  EndNote Tutorials by Yingting Zhang \nThis is an online event. Event URL will be sent via registration email.
URL:https://radcollaboratory.rutgers.edu/event/endnote-2/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260128T153000
DTEND;TZID=UTC:20260128T170000
DTSTAMP:20260424T035543
CREATED:20260121T141815Z
LAST-MODIFIED:20260121T141815Z
UID:2740-1769614200-1769619600@radcollaboratory.rutgers.edu
SUMMARY:Data Analysis 1 (overview\, data methods\, and data wrangling with R + comparison with Python)
DESCRIPTION:This session introduces basic descriptive data analysis and data wrangling in the context of the R statistical software environment\, along with some comparisons to Python methods. \nWorkshop conducted via Zoom.  Register to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at libguides.rutgers.edu/data_topics \nInstructor: Ryan Womack \n\n\nRelated LibGuide:  Data Topics by Ryan Womack \nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/15365712
URL:https://radcollaboratory.rutgers.edu/event/data-analysis-1/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260202T160000
DTEND;TZID=UTC:20260202T170000
DTSTAMP:20260424T035543
CREATED:20260121T145500Z
LAST-MODIFIED:20260123T172439Z
UID:2742-1770048000-1770051600@radcollaboratory.rutgers.edu
SUMMARY:Advanced Zotero
DESCRIPTION:Attention\, graduate students! If you are already a Zotero user and are looking to take your citation and literature review game to the next level\, this workshop is for you. We will learn how to route PDF attachments to a cloud storage folder and retrieve and organize our PDF annotations using the third-party plugin ZotMoov. ZotMoov allows users to continue using Zotero without paying for storage for PDF attachments (assuming Rutgers-provided cloud storage like Box or ScarletApps). In case a refresher is needed\, our “Introduction to Zotero” materials are available at https://libguides.rutgers.edu/zotero/tutorials. \nInstructor: Francesca Giannetti\, Digital Humanities Librarian \n\nRelated LibGuide:  Zotero by Mei Ling Lo \nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/16247204
URL:https://radcollaboratory.rutgers.edu/event/advanced-zotero/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260204T153000
DTEND;TZID=UTC:20260204T170000
DTSTAMP:20260424T035543
CREATED:20260121T145655Z
LAST-MODIFIED:20260121T145718Z
UID:2744-1770219000-1770224400@radcollaboratory.rutgers.edu
SUMMARY:Data Analysis 2 (statistical tests\, regression\, sampling\, bootstrap\, and more + comparison with Python)
DESCRIPTION: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. \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\nRelated LibGuide:  Data Topics by Ryan Womack \nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/15446799
URL:https://radcollaboratory.rutgers.edu/event/data-analysis-2/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260206T130000
DTEND;TZID=UTC:20260206T143000
DTSTAMP:20260424T035543
CREATED:20260129T164223Z
LAST-MODIFIED:20260129T164735Z
UID:2765-1770382800-1770388200@radcollaboratory.rutgers.edu
SUMMARY:Introduction to NVivo
DESCRIPTION:NVivo is a qualitative data analysis software that helps researchers manage\, code\, and markup data for both mixed methods and qualitative studies. This workshop introduces the NVivo workspace and basic features\, including organizing data\, making mind maps\, and getting acquainted with data coding. It also provides an overview of qualitative methods commonly used in the humanities and social sciences. \nThis workshop is presented by Xu Guo\, Qualitative methods graduate specialist at the New Brunswick Libraries. \n\nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/16253402
URL:https://radcollaboratory.rutgers.edu/event/nvivo/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260209T120000
DTEND;TZID=UTC:20260209T130000
DTSTAMP:20260424T035543
CREATED:20260121T150130Z
LAST-MODIFIED:20260121T150230Z
UID:2746-1770638400-1770642000@radcollaboratory.rutgers.edu
SUMMARY:Love Data Week! Data Science Basics: Keeping Your Data Safe
DESCRIPTION:In an increasingly digital world\, protecting your personal information is more important than ever. This workshop provides a clear\, practical introduction to data privacy and security\, helping you understand the risks you face online and the steps you can take to safeguard your data. This session focuses on simple\, actionable tips you can start using immediately. By the end of the workshop\, you’ll be better equipped to recognize security risks and make informed decisions to keep your data safe. Join us to build essential digital safety skills and take control of your online privacy. \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/16143365
URL:https://radcollaboratory.rutgers.edu/event/love-data-week/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260210T120000
DTEND;TZID=UTC:20260210T130000
DTSTAMP:20260424T035543
CREATED:20260121T153214Z
LAST-MODIFIED:20260121T153522Z
UID:2748-1770724800-1770728400@radcollaboratory.rutgers.edu
SUMMARY:Love Data Week! DMPTool for NIH and NSF Data Management Plans
DESCRIPTION:Create data management and sharing plans that meet funder requirements using DMPTool. Features of this plan writing tool will be demonstrated\, with tips for writing plans for NIH and NSF. Information about selecting data repositories will also be presented. There will be time at the end for Q&A – please bring your data management questions! \n\nRelated LibGuide:  Research Data Management by Laura Palumbo \nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/16169553
URL:https://radcollaboratory.rutgers.edu/event/dmptool/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260211T153000
DTEND;TZID=UTC:20260211T170000
DTSTAMP:20260424T035543
CREATED:20260121T153906Z
LAST-MODIFIED:20260121T153934Z
UID:2750-1770823800-1770829200@radcollaboratory.rutgers.edu
SUMMARY:Love Data Week! R Graphics with ggplot2
DESCRIPTION:The 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 \nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/15446782
URL:https://radcollaboratory.rutgers.edu/event/ggplot2/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260212T130000
DTEND;TZID=UTC:20260212T140000
DTSTAMP:20260424T035543
CREATED:20260121T154139Z
LAST-MODIFIED:20260121T154430Z
UID:2752-1770901200-1770904800@radcollaboratory.rutgers.edu
SUMMARY:Love Data Week! Finding and Creating Textual Data for Analysis
DESCRIPTION:This introductory workshop provides a brief tour through the rights and technical issues associated with the creation of textual data for computational text analysis in the humanities and interpretive social sciences. We will examine some commonly used sources of historic and contemporary textual data\, including primary source collections\, web APIs\, open data collections\, and library resources like ProQuest’s TDM Studio and the Gale Digital Scholar Lab. \nInstructor: Francesca Giannetti\, Digital Humanities Librarian \nThis is an online event. Event URL will be sent via registration email. \n\nRegister here: https://libcal.rutgers.edu/event/16187350
URL:https://radcollaboratory.rutgers.edu/event/love-data-week-feb12/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260213T120000
DTEND;TZID=UTC:20260213T150000
DTSTAMP:20260424T035543
CREATED:20260121T165903Z
LAST-MODIFIED:20260121T165912Z
UID:2754-1770984000-1770994800@radcollaboratory.rutgers.edu
SUMMARY:Love Data Week! Frederick Douglass Day Transcribe-a-Thon
DESCRIPTION:We will gather during this hybrid event to transcribe primary source materials related to Black history. Previous events have focused on the papers of significant figures like Anna Julia Cooper\, Mary Church Terrell\, and Mary Ann Shadd Cary. Training on the transcription of primary source materials will be provided. Bring a laptop! Participants may come or leave at any time during the event. Learn more about Douglass Day at douglassday.org. \nRefreshments will be available to in-person participants. \nFacilitators: Francesca Giannetti\, Digital Humanities Librarian\, and Tajah Ebram\, Black Studies Librarian \nThis is an online event. Event URL will be sent via registration email. \n\nRegister here: https://libcal.rutgers.edu/event/16187674
URL:https://radcollaboratory.rutgers.edu/event/2754/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260216T120000
DTEND;TZID=UTC:20260216T130000
DTSTAMP:20260424T035543
CREATED:20260121T181101Z
LAST-MODIFIED:20260121T181256Z
UID:2756-1771243200-1771246800@radcollaboratory.rutgers.edu
SUMMARY:Data Science Basics: Introduction to Data Science
DESCRIPTION:Data science is at the heart of modern decision-making\, powering everything from business insights to everyday recommendations online. This workshop offers a beginner-friendly introduction to the core concepts\, tools\, and workflows that define the field. No prior experience is required. The session focuses on building intuition and understanding rather than coding. By the end of the workshop\, attendees will have a solid foundation in how data science works and how it can be applied to real-world problems. Join us to explore the world of data and discover how it shapes the technologies and decisions around us. \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/16143993
URL:https://radcollaboratory.rutgers.edu/event/2756/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260218T153000
DTEND;TZID=UTC:20260218T170000
DTSTAMP:20260424T035543
CREATED:20260121T181503Z
LAST-MODIFIED:20260121T181503Z
UID:2758-1771428600-1771434000@radcollaboratory.rutgers.edu
SUMMARY:Data Visualization 2 (interactive visualizations with Shiny\, including hosting a Shiny server)
DESCRIPTION:Creating interactive visualizations with Shiny in RStudio\, and delivering Shiny visualizations on the web and hosting a Shiny server. \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 \nThis is an online event. Event URL will be sent via registration email. \nClick here to register: https://libcal.rutgers.edu/event/15505670 \n  \n 
URL:https://radcollaboratory.rutgers.edu/event/data-visualization-2/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260220T130000
DTEND;TZID=UTC:20260220T143000
DTSTAMP:20260424T035543
CREATED:20260129T164901Z
LAST-MODIFIED:20260129T164901Z
UID:2767-1771592400-1771597800@radcollaboratory.rutgers.edu
SUMMARY:Introduction to NVivo
DESCRIPTION:NVivo is a qualitative data analysis software that helps researchers manage\, code\, and markup data for both mixed methods and qualitative studies. This workshop introduces the NVivo workspace and basic features\, including organizing data\, making mind maps\, and getting acquainted with data coding. It also provides an overview of qualitative methods commonly used in the humanities and social sciences. \nThis workshop is presented by Xu Guo\, Qualitative methods graduate specialist at the New Brunswick Libraries. \nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/16253403
URL:https://radcollaboratory.rutgers.edu/event/nvivo1/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260306T130000
DTEND;TZID=UTC:20260306T143000
DTSTAMP:20260424T035543
CREATED:20260129T165034Z
LAST-MODIFIED:20260129T183116Z
UID:2769-1772802000-1772807400@radcollaboratory.rutgers.edu
SUMMARY:Introduction to NVivo
DESCRIPTION:NVivo is a qualitative data analysis software that helps researchers manage\, code\, and markup data for both mixed methods and qualitative studies. This workshop introduces the NVivo workspace and basic features\, including organizing data\, making mind maps\, and getting acquainted with data coding. It also provides an overview of qualitative methods commonly used in the humanities and social sciences. \nThis workshop is presented by Xu Guo\, Qualitative methods graduate specialist at the New Brunswick Libraries. \n\nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/16253404
URL:https://radcollaboratory.rutgers.edu/event/nvivo2/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260310
DTEND;VALUE=DATE:20260311
DTSTAMP:20260424T035543
CREATED:20260224T165055Z
LAST-MODIFIED:20260224T165055Z
UID:2952-1773100800-1773187199@radcollaboratory.rutgers.edu
SUMMARY:Symposium on AI in Research
DESCRIPTION:Join us for the second event in the inaugural University Librarian’s Symposium Series. The series is designed to engage the entire Rutgers community on timely topics in higher education\, focusing on a different theme for each series. The current theme is Artificial Intelligence in Higher Education. \nThe rapid expansion of artificial intelligence (AI) within higher education has sparked important questions about appropriate use\, environmental footprint\, and potential influence on problem‑solving and creativity. However\, AI is neither new nor a passing trend and has a long history of being used in various programs and applications. What has become an enduring part of the academic landscape requires a proactive and thoughtful exploration of its benefits\, balanced with strategies to minimize potential disruptions. \nThis hybrid event will take place on March 10 from 8:30 a.m. to 3 p.m. in the Teleconference Lecture Hall on the fourth floor of Alexander Library. A light breakfast and lunch will be provided. Remote participation is also available\, and due to space constraints\, participants who are unable to attend for the entire day are encouraged to register for remote attendance. \nRegistration is required.  Click here to register: https://libcal.rutgers.edu/event/16450179
URL:https://radcollaboratory.rutgers.edu/event/symposium-on-ai-in-research/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260323T083000
DTEND;TZID=UTC:20260323T180000
DTSTAMP:20260424T035543
CREATED:20260312T144001Z
LAST-MODIFIED:20260312T144001Z
UID:2976-1774254600-1774288800@radcollaboratory.rutgers.edu
SUMMARY:Rutgers Center for Biomedical Informatics & Health AI 2026 Symposium
DESCRIPTION:“Advancing Rutgers Health AI through Research\, Discovery\, and Collaboration”\nRegistration is required: Click here to register \n2026 Symposium\nEvent: Monday\, March 23\, 2026 8:30am – 6:00pm \n\nCollege Avenue Student Center\n\n\n126 College Avenue\nNew Brunswick\, NJ 08901 \n\n\nDon’t miss the opportunity to connect with Rutgers Health biomedical and health AI researchers\, learn about state-of-the-art advances in health AI from academic and industry experts\, explore careers in AI\, and lead the charge in establishing Rutgers as a national and international hub for biomedical informatics and health AI! \n\nKeynote and state-of-the-art biomedical and health AI presentations\nOpportunity to build industry partnerships\nIndustry panel on the challenges of applied general intelligence\nAcademic panel on building partnerships in the era of AI\nBuilding multi-disciplinary trainee community of practice\nPoster session with reception
URL:https://radcollaboratory.rutgers.edu/event/rutgers-center-for-biomedical-informatics-health-ai-2026-symposium/
LOCATION:College Avenue Student Center\, 126 College Avenue\, New Brunswick\, 08901\, United States
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260323T130000
DTEND;TZID=UTC:20260323T140000
DTSTAMP:20260424T035543
CREATED:20260312T140242Z
LAST-MODIFIED:20260312T140242Z
UID:2965-1774270800-1774274400@radcollaboratory.rutgers.edu
SUMMARY:Supercharge Your Research: Harnessing HPC Resources
DESCRIPTION:March 23\, 2026 • 1 – 2 PM ET \nThis is a virtual workshop: click here to register \nDiscover how to leverage the power of HPC to advance your research. This session explores practical examples\, workflows\, and strategies for using HPC to solve complex problems\, process large datasets\, and achieve groundbreaking results. Target Audience: Graduate students\, postdocs\, research computing staff\, principal investigators\, faculty Pre-requisite: Basic Linux systems commands\, familiarity HPC scheduling commands. \nAll Workshops Have a Hands-on Component: To fully participate\, attendees are required to:\n1. Have a laptop with a stable internet connection.\n2. Have a basic understanding of using a command-line interface (terminal/shell).\n3. Have a working SSH client installed on their laptop. (e.g.\, PuTTY for Windows\, Terminal for macOS/Linux) \nPlease contact Forough Ghahramani forough.ghahramani@njedge.net for additional information.
URL:https://radcollaboratory.rutgers.edu/event/hpc-resources/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260324T100000
DTEND;TZID=UTC:20260324T160000
DTSTAMP:20260424T035543
CREATED:20260129T080004Z
LAST-MODIFIED:20260202T220421Z
UID:2778-1774346400-1774368000@radcollaboratory.rutgers.edu
SUMMARY:RAD Collaboratory Research Symposium
DESCRIPTION:The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is pleased to announce its inaugural Research Symposium to be held on Tuesday\, March 24\, 2026 at the Douglass Student Center.    \nThis in-person symposium brings together Rutgers faculty\, research staff\, postdoctoral fellows\, students\, and partners from industry to showcase data science and artificial intelligence research through keynote lectures\, Rutgers faculty and industry panel discussions\, and a trainee poster session\, followed by a community engagement reception.   \nThe event aligns with the RAD Collaboratory\, a New Brunswick Chancellor Signature Initiative overseen by The Rutgers–New Brunswick Office for Research that advances collaborative data science and AI/ML research\, student programming\, and community engagement across Rutgers.  \nFor more information and to register: go.rutgers.edu/rad_symposium \nThis symposium is made possible with funding and support provided by the Rutgers-New Brunswick Office of the Chancellor\, the Rutgers-New Brunswick Office for Research\, and the Rutgers University Office of the Executive Vice President for Academic Affairs.
URL:https://radcollaboratory.rutgers.edu/event/research-symposium/
LOCATION:Douglas Student Center\, 100 George Street\, New Brunswick\, NJ\, 08901\, United States
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260326T083000
DTEND;TZID=UTC:20260326T150000
DTSTAMP:20260424T035543
CREATED:20260312T144745Z
LAST-MODIFIED:20260312T144745Z
UID:2975-1774513800-1774537200@radcollaboratory.rutgers.edu
SUMMARY:Roadmaps AI Week 2026
DESCRIPTION:Register Here! \nROADMAPS AI Week 2026 brings together Rutgers–Newark faculty\, industry leaders\, and AI innovators for a full day of presentations\, discussions\, and hands-on engagement focused on the future of artificial intelligence. Attendees will hear from Rutgers–Newark faculty\, AWS\, OpenMined and gain strategic perspectives from university leadership\, and participate in interactive demonstrations designed to showcase practical AI applications. This event provides a valuable opportunity to learn\, connect\, and explore how AI is shaping research\, education\, and industry. Breakfast and lunch will be provided. A door prize giveaway will occur! To qualify for a chance to win\, attendees must register in advance by March 21st and must also be in attendance on March 26th.
URL:https://radcollaboratory.rutgers.edu/event/roadmaps-ai-week-2026/
LOCATION:Express Newark\, 54 Halsey St\, Newark\, NJ\, 07102\, United States
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260327T130000
DTEND;TZID=UTC:20260327T143000
DTSTAMP:20260424T035543
CREATED:20260129T165158Z
LAST-MODIFIED:20260129T165227Z
UID:2771-1774616400-1774621800@radcollaboratory.rutgers.edu
SUMMARY:Coding and Queries in NVivo
DESCRIPTION:NVivo is a qualitative data analysis software that helps researchers manage\, code\, and mark up data for both mixed methods and qualitative studies. This workshop is aimed at NVivo users who have the need to code and analyze qualitative data. It will cover coding and uncoding data\, running queries\, and visualizing coded data. \nThis workshop is presented by Xu Guo\, Qualitative graduate specialist at the New Brunswick Libraries. \n\nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/16253409
URL:https://radcollaboratory.rutgers.edu/event/2771/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260327T130000
DTEND;TZID=UTC:20260327T143000
DTSTAMP:20260424T035543
CREATED:20260313T172609Z
LAST-MODIFIED:20260313T172609Z
UID:2983-1774616400-1774621800@radcollaboratory.rutgers.edu
SUMMARY:AI and sustainability event
DESCRIPTION:“What are the Sustainability Impacts of Artificial Intelligence?  And what does this mean for AI governance for sustainability at Rutgers and Beyond?  –  An Expert Panel and Rutgers Community Discussion” \nThis is co-sponsored by Department of Human Ecology\, Center for Sustainability Governance\, Rutgers Office of Climate Action\, and Students for Environmental Action.  We will be having experts from a wide range of fields answer the questions What does your research tell us about AI’s implications for sustainability?  And how do we govern AI sustainably? \nThere are three panelists who will each speak for 15 minutes answering these questions and then will turn to a discussion: \nAbhilash Mishra\, Director\, Kevin Xu Initiative on Science\, Technology and Global Development\, Harris School of Public Policy\, University of Chicago https://harris.uchicago.edu/directory/abhilash-mishra \nKetan Joshi\, a freelance writer and Senior Researcher at Australia Institute who recently published a report on greenwashing AI who will be joining via zoom. \nWilliam Russell\, Project Leader\, AI for Good Initiative\, Rutgers Institute for Corporate Social Innovation \nThe event is scheduled in the Alampi Room in the Marine and Coastal Sciences Building (71 Dudley Rd.\, New Brunswick) on March 27th at (1:00 pm until 2:30.) \nTo join virtually:  go.rutgers.edu/k71l626f
URL:https://radcollaboratory.rutgers.edu/event/march27/
LOCATION:Marine and Coastal Sciences Building\, 71 Dudley Rd\, New Brunswick\, 08901\, United States
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260401T120000
DTEND;TZID=UTC:20260401T130000
DTSTAMP:20260424T035543
CREATED:20260312T141154Z
LAST-MODIFIED:20260312T141154Z
UID:2966-1775044800-1775048400@radcollaboratory.rutgers.edu
SUMMARY:Mastering Data Transfers on HPC Systems
DESCRIPTION:This is a virtual workshop: click here to register \nEfficient data movement is key to effective HPC usage. This workshop provides a hands-on introduction to transferring data within HPC systems. Gain insights into tools\, techniques\, and troubleshooting tips to handle large datasets with confidence. Target Audiences: Graduate/ undergraduate students\, postdocs\, research computing staff\, faculty \nPre-requisite: Basic Linux system commands. \nPlease contact Forough Ghahramani forough.ghahramani@njedge.net for additional information.
URL:https://radcollaboratory.rutgers.edu/event/hpcsystems/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260410T130000
DTEND;TZID=UTC:20260410T143000
DTSTAMP:20260424T035543
CREATED:20260129T165346Z
LAST-MODIFIED:20260129T165404Z
UID:2774-1775826000-1775831400@radcollaboratory.rutgers.edu
SUMMARY:Coding and Queries in NVivo
DESCRIPTION:NVivo is a qualitative data analysis software that helps researchers manage\, code\, and mark up data for both mixed methods and qualitative studies. This workshop is aimed at NVivo users who have the need to code and analyze qualitative data. It will cover coding and uncoding data\, running queries\, and visualizing coded data. \nThis workshop is presented by Xu Guo\, Qualitative graduate specialist at the New Brunswick Libraries. \nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/16253410
URL:https://radcollaboratory.rutgers.edu/event/nvivo3/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260424T130000
DTEND;TZID=UTC:20260424T143000
DTSTAMP:20260424T035543
CREATED:20260129T182844Z
LAST-MODIFIED:20260129T183442Z
UID:2776-1777035600-1777041000@radcollaboratory.rutgers.edu
SUMMARY:Coding and Queries in NVivo
DESCRIPTION:NVivo is a qualitative data analysis software that helps researchers manage\, code\, and mark up data for both mixed methods and qualitative studies. This workshop is aimed at NVivo users who have the need to code and analyze qualitative data. It will cover coding and uncoding data\, running queries\, and visualizing coded data. \nThis workshop is presented by Xu Guo\, Qualitative graduate specialist at the New Brunswick Libraries. \nThis is an online event. Event URL will be sent via registration email. \n\nRegister here: https://libcal.rutgers.edu/event/16253411
URL:https://radcollaboratory.rutgers.edu/event/nvivo4/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260428T100000
DTEND;TZID=UTC:20260428T113000
DTSTAMP:20260424T035543
CREATED:20260422T161119Z
LAST-MODIFIED:20260422T161119Z
UID:3017-1777370400-1777375800@radcollaboratory.rutgers.edu
SUMMARY:Harnessing AI and Spatial Data Science for Global Development: Student Research Showcase
DESCRIPTION:Date: April 28th\, 2026 \nTiming: 10:00 AM – 11:30 AM \nRegistration is not required \nLocation: 390 George St.\, Room 311-C\, New Brunswick\, NJ 08901 \nThe name of the building is “390 Geroge St” and is on Church Street and George Street in New Brunswick\, NJ \nRutgers faculty and affiliates are cordially invited to the semester-long student research showcase for the graduate course AI/ML and Spatial Data Science for Global Development (Course 16:910:657). This Ph.D.-level course brings together students from social work\, public policy\, economics\, and information science to explore how cutting-edge computational methods can address real-world challenges in global development and social welfare. \nOver the course of the semester\, student research teams have drawn on novel data sources (e.g.\, satellite imagery\, crowd-sourced maps\, social media data) and applied methods (e.g.\, multimodal data integration\, explainable AI\, and spatial data science\, and ML) to develop original\, interdisciplinary research on global development challenges.
URL:https://radcollaboratory.rutgers.edu/event/researchshowcase/
LOCATION:390 George St\, 390 George St.\, Room 311-C\, New Brunswick\, NJ\, 08901
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260429T100000
DTEND;TZID=UTC:20260429T140000
DTSTAMP:20260424T035543
CREATED:20260410T125121Z
LAST-MODIFIED:20260410T125121Z
UID:3012-1777456800-1777471200@radcollaboratory.rutgers.edu
SUMMARY:CAS 11th Annual Scholar Poster Session
DESCRIPTION:CAS 11th Annual Scholar Poster Session with Keynote Speaker Dr. Lydon-Staley! Register by 4/16/26! \nDear Students\, Trainees\, and Colleagues\, \nThe Center of Alcohol and Substance Use Studies (CAS) 11th Annual Scholar Poster Session to be held in person on April 29\, 2026\, is fast approaching! The deadline to register is next Thursday\, April 16\, 2026! \nLink to Register: CAS 11th Annual Scholar Poster Session Attendee Registration \nThis annual event highlights innovative\, rigorous\, and impactful research across the alcohol\, substance use and recovery field and related disciplines. \nTopics \n\nPublic Health / Epidemiology\nAnimal and Basic Science Research\nClinical Research (Qualitative or Quantitative)\nHuman Experimental Research\nCommunity Engagement\nData Science & Artificial Intelligence\n\nEvent Details \nDate and Time: April 29\, 2026\, 10 AM – 2 PM\nLocation: Life Sciences Building Atrium\, Busch Campus \nSchedule: \n\nPoster Setup: 8:30 a.m. – 9:30 a.m.\nKeynote Speaker: 10:00 a.m. – 11:00 a.m.\nPoster Session: 11:30 a.m. – 1:00 p.m.\nAwards Lunch: 1:00 p.m. – 2:00 p.m.\n\n2026 CAS Poster Keynote Speaker \nThe Center of Alcohol and Substance Use Studies 11th Annual Scholar Poster Session is proud to host Dr. David Lydon-Staley\, Associate Professor of Communication University of Pennsylvania. \nRethinking Curiosity in Substance Use: Data-Driven Insights from Dynamic Systems and Intensive Longitudinal Research
URL:https://radcollaboratory.rutgers.edu/event/cas11thannual/
LOCATION:Life Sciences Building Atrium\, Busch Campus
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260429T120000
DTEND;TZID=UTC:20260429T130000
DTSTAMP:20260424T035543
CREATED:20260312T141436Z
LAST-MODIFIED:20260312T141436Z
UID:2967-1777464000-1777467600@radcollaboratory.rutgers.edu
SUMMARY:Data in Motion: Utilizing the Science DMZ and DTNs for Optimal Performance
DESCRIPTION:Learn how to efficiently manage and transfer large-scale datasets using a high-speed science DMZ and Data Transfer Nodes (DTNs). This workshop will cover best practices\, tools\, and strategies to streamline your data workflows while maximizing performance and security. \nTarget Audience: Graduate students\, postdocs\, research computing staff\, principal investigators\, faculty \nPre-requisite: Basic Linux Commands \nThis is a virtual workshop: click here to register \nPlease contact Forough Ghahramani forough.ghahramani@njedge.net for additional information.
URL:https://radcollaboratory.rutgers.edu/event/datainmotion/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260430T130000
DTEND;TZID=UTC:20260430T170000
DTSTAMP:20260424T035543
CREATED:20260309T141158Z
LAST-MODIFIED:20260316T191924Z
UID:2957-1777554000-1777568400@radcollaboratory.rutgers.edu
SUMMARY:CodeBMB Webinar for Beginners
DESCRIPTION:This four-hour virtual crash course is designed to introduce novices (with little or no coding experience) to a pedagogical foundation for coding\, the Google Colab environment\, GitHub\, and the fundamentals of Python scripting. \nCoding exercises will begin with variables\, loops\, and logic and will proceed to plotting and calculations based on linear and nonlinear regression curve fitting. You will leave the workshop with a linear regression exercise and you will know how to adapt to your class or lab settings. \nTo participate\, you will need a Gmail account in order to save Colab notebooks (emailed prior to webinar) to your Google drive and to create your own Colab notebooks. \nMeet the Instructors\nThe CodeBMB team consists of four faculty members with a variety of coding and instructional skills\, growing expertise in educational research and a deep commitment to making coding accessible to everyone in the life sciences. \n\nChris Berndsen\, James Madison University\nWally Novak\, Wabash College\nMike Foster\, Penn State\nPaul Craig\, RIT\n\nSkills Learned\nAfter the webinar\, users will be able to: \n\nUnderstand how coding can contribute to student learning\nRecognize and write basic Python scripts\nOpen and modify existing Colab notebooks to use in their courses.\n\nThe webinar is intended for: \n\nProfessional scientists in the biosciences from academia and industry starting to code\nPost-docs and graduate students who want to bring coding into their learning environments\nInstructors involved in Biochemistry and Molecular Biology Education\n\nEvent Details\nCodeBMB: Computational Literacy for Biochemistry and Molecular Biology Education will take place \nThursday April 30\, 2026\n1pm – 5pm Eastern | 10am – 11am Pacific \nPlease register here for this free event. An institutional email address for registration is preferred.\nYou will receive confirmation and a Zoom link by email before the event. \nParticipants may also be interested in recordings of past training events\, including Python Scripting for Biochemistry & Molecular Biology Part 1 and Part 2\, and the 2024 course\, Python Scripting for Molecular Docking.
URL:https://radcollaboratory.rutgers.edu/event/codebmb/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260520T083000
DTEND;TZID=UTC:20260520T153000
DTSTAMP:20260424T035543
CREATED:20260206T214252Z
LAST-MODIFIED:20260206T214252Z
UID:2903-1779265800-1779291000@radcollaboratory.rutgers.edu
SUMMARY:13th Annual New Jersey Big Data Alliance Symposium
DESCRIPTION:Register now for the 13th Annual New Jersey Big Data Alliance Symposium which will be held Wednesday\, May 20\, 2026\, at Rowan University in Glassboro\, NJ. This year’s theme is: “Building Accessible & Sustainable AI Ecosystems: People\, Data\, Ethics\, & Infrastructure“. We are honored to feature keynote speakers Dr. Khalifeh Al Jadda (Director of Data Science\, Google) andDr. Jeannette Wing (Executive VP Research\, Columbia University). The agenda includes informative research sessions\, outstanding academic and industry panels\, a student poster competition\, and networking opportunities. The NJBDA Annual Symposium is New Jersey’s premier Big Data and AI conference\, consistently attracting 250+ attendees from industry\, government\, and academia. \nFor the agenda\, registration and other information\, click here for the event page: https://njbda.org/2026-symposium/
URL:https://radcollaboratory.rutgers.edu/event/njbdamay20/
LOCATION:Rowan University\, 201 Mullica Hill Rd\, Glassboro\, New Jersey\, 08028\, United States
CATEGORIES:Regional/National Events
END:VEVENT
END:VCALENDAR