Welcome to the new school year! Over the summer, we have been hard at work adapting our services and spaces to accommodate the changing needs of students and faculty in our new hybrid environment. While reference and instruction services have moved online, we have new options for accessing our physical collections, and library spaces are beginning to reopen for study and computing. Read on to learn What's Happening!
In this issue:
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Libraries Spaces Opening for Study and Computing
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Select library spaces have begun to reopen for study and computing use, with limited capacity and following Rutgers and State guidelines for social distancing, face coverings, and sanitization. Reference services remain online-only, and circulation services are available through Click and Collect, our version of curbside pickup.
Visit our website for the latest!
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How To: Click and Collect
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In case you missed it: the Libraries are now providing access to our physical collections via Click and Collect, our low- or no-contact version of curbisde pickup. Check out the video below to learn more about how to make an appointment.
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Learn how to schedule a low-contact pickup time for physical materials in three easy steps!
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E-ZBorrow and UBorrow Services Resumed
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Interlibrary loan services via E-ZBorrow and UBorrow have now resumed.
E-ZBorrow allows users to borrow books and other library materials from 52 college and university member libraries in Pennsylvania, New Jersey, New York, and West Virginia, while the UBorrow service offers access to over 90 million books from the collections of 15 university libraries throughout the Midwest and the Center for Research Libraries, including members of the Big Ten Academic Alliance.
Learn more about using our collections and services during this time.
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Open and Affordable Textbooks Program Reduces Textbook Costs for Students
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More faculty than ever before are participating in a program through the Rutgers University Libraries to provide open and affordable textbooks for the fall.
The initiative is estimated to be able to save over 16,400 students a total of more than $2.1 million in the cost of textbooks and other course materials over the next year.
More
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We're kicking off the school year with a jam-packed schedule of online events. Join us for film screenings, lectures, workshops, and much more!
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September 22, 7:00 p.m.
Film Screening and Panel
Rigged: The Voter Suppression Playbook
Learn more
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September 24, 4:00 p.m.
Lecture and Discussion
Bringing the Story Home: Agitating for Woman Suffrage in New Jersey
Learn more
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Dana Library Virtual Open House
September 8, 11:00 a.m. |
Python Basics and Data Exploration
September 8, 3:00 p.m. |
Dana Library Virtual Open House
September 9, 2:30 p.m. |
HathiTrust Research Center Webinar
September 10, 2:00 p.m. |
Intro to GIS: Working with Data and Shape Files
September 14, 12:00 p.m. |
R for Data Analysis
September 15, 4:30 p.m. |
Data Manipulation and Analysis with Python
September 16, 4:00 p.m. |
Basic Exploring Google Street View
September 17, 7:00 p.m. |
Data Visualization with Python
September 22, 3:00 p.m. |
Rigged: The Voter Suppression Playbook
September 22, 7:00 p.m. |
Bringing the Story Home: Agitating for Woman Suffrage in New Jersey
September 24, 4:00 p.m. |
Collecting Twitter Data for Research
September 29, 2:00 p.m. |
Exercise and Practice in Python (Beginners 4)
September 29, 3:00 p.m. |
Basic Endnote
September 30, 3:00 p.m. |
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GIS Basics
September 8, 12:00 p.m. |
Introduction to SAS
September 8, 4:30 p.m. |
Python Basics and Data Exploration
September 9, 4:00 p.m. |
Dana Library Virtual Open House
September 10, 4:00 p.m. |
Data Manipulation and Analysis with Python
September 15, 3:00 p.m. |
Citation Management with Zotero
September 16, 2:00 p.m. |
Citation Management with Zotero
September 17, 10: 00 a.m.
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Geocoding and Thematic Mapping
September 21, 12:00 p.m. |
R Graphics with ggplot2
September 22, 4:30 p.m. |
Data Visualization with Python
September 23, 4:00 p.m.
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GIS Analytics and Visualization (GIS with ArcGIS and QGIS, Part 4)
September 28, 12:00 p.m. |
Patent Search 101
September 29, 3:00 p.m. |
R Data Wrangling with dplyr, tidyr, readr, and More
September 29, 4:30 p.m. |
Statistical Inference with Python (Accelerated 3)
September 30, 4:00 p.m. |
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And that's not all! Be sure to check out our calendar for the full schedule of upcoming events.
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If you enjoyed this issue of What's Happening, help spread the word and forward it to a friend!
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