Events

  • From January 1, 2018

PUG@Penn (Python Users Group)

December 1, 2022
3:00 pm - 5:00 pm

PUG@Penn (Python Users Group) brings together members of the Penn community interested in or already working with the popular open-source programming language Python. This drop-in, informal, collaboratively-oriented group meets once per month to experiment and explore the many uses for Python across academic disciplines and industries. All are welcome – no prior experience with Python […]

R Penn Group

December 8, 2022
3:00 pm - 5:00 pm

You know what’s better than learning how to use R? Learning how to use R with other people! Bring your research, dream up a mini project, or learn how to think critically about relevant data with your peers. The R Penn Group (RPG) presented by the Research Data & Digital Scholarship team at Penn Libraries […]

Data Ethics and Data Sharing

December 14, 2022
12:00 pm - 1:00 pm

This session will help the Penn research community assess the potential benefits and risks of collecting, analyzing, and sharing research data, including concerns about overburdening certain populations, potential reidentification, and possible intellectual property concerns.  It will introduce the audience to the basics of ethical data practice, then introduce some practical tools and highlight Penn resources available to help researchers make informed decisions about how, when, and […]

Penn Mapping and GIS group (PennMGIS)

December 15, 2022
3:00 pm - 5:00 pm

A group that meets to discuss, learn, and collaborate on topics and projects related to mapping, geospatial data processing, visualization, and analysis tools through hands-on tutorials, workshops, and presentations. The group meets in-person in Goldestein Electronic Classroom (Room 114), Van Pelt Library, every 3rd Thursday of the month from 3pm – 5pm. The first hour may […]

The CASI Data Seminar Series 2023 is practitioner-focused, aimed at researchers, students, academics, journalists, those in government, and private firms who use data in their work, and would like to be exposed to an exciting dataset with which to work. Pre- and post-session handouts will consolidate knowledge for all attendees. Every month, a leading practitioner will […]