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Workshop Paul Robeson Library Undergraduate Research Award Information Session For all Rutgers–Camden undergraduates: Please join us to learn more about the Paul Robeson Library Undergraduate Research Award! You'll gain a full understanding of the application requirements and evaluation process, as well as have an opportunity to ask questions. We will review: 1. Award applica... Monday, February 9, 2026, 11:30 AM - 12:15 PM - Online
Workshop Love Data Week! Data Science Basics: Keeping Your Data Safe 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 fo... Monday, February 9, 2026, 12:00 - 1:00 PM - Online
Workshop Love Data Week! DMPTool for NIH and NSF Data Management Plans 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;... Tuesday, February 10, 2026, 12:00 - 1:00 PM - Online
Workshop Intro to QuickSearch Learn the basics of QuickSearch to find materials available from the Rutgers University Libraries, including books, journals, articles, music, movies, and more. Register for this online workshop at go.rutgers.edu/quicksearch Wednesday, February 11, 2026, 11:30 AM - 12:15 PM - Online
Workshop Love Data Week! R Graphics with ggplot2 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 thi... Wednesday, February 11, 2026, 3:30 - 5:00 PM - Online
Workshop Love Data Week! Finding and Creating Textual Data for Analysis 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 da... Thursday, February 12, 2026, 1:00 - 2:00 PM - Online
Speaker Series Mojos, Mermaids, Medicine, and 400 Years of Black Women's Magic with Dr. Lindsey Stewart Feminist philosopher Dr. Lindsey Stewart’s book, The Conjuring of America: Mojos, Mermaids, Medicine, and 400 Years of Black Women’s Magic, tells the stories of Negro Mammies of slavery; the Voodoo Queens and Blues Women of Reconstruction; and the Granny Midwives and textile weavers of the Jim Crow ... Thursday, February 12, 2026, 2:00 - 3:00 PM - Online
Workshop Love Data Week! Introduction to Policy Map Introduction to the online data and mapping application, Policy Map, which provides access to indicators related to U.S. housing, crime, mortgages, health, jobs, demographics, and education. Register in advance for this online workshop at go.rutgers.edu/PolicyMap. Friday, February 13, 2026, 11:30 AM - 12:15 PM - Online
Public Event Love Data Week! Frederick Douglass Day Transcribe-a-Thon 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 w... Friday, February 13, 2026, 12:00 - 3:00 PM - New Brunswick
Workshop Love Data Week! Topics in Machine Learning In this session, we will go over the basics of machine learning and data handling. We will learn how to build data sets ready for machine learning algorithms in addition to learning the inner workings of how machine learning models “learn." Workshop conducted via Zoom. Register to receive the Zoom l... Friday, February 13, 2026, 1:00 - 2:00 PM - Online