Update: The conference was a great success with a large and enthusiastic turnout!
Presenter slides and other information will be made available as we receive it.
Thanks to all the presenters and attendees for a lively conversation and great collaborative spirit!
You are warmly invited to join us for a Data Science Social Hour, Tuesday, May 14, 4:00-5:00 PM, in the Founders Room of the The Claremont Colleges Library – to include hors d’oeuvres and libations!
As you may know, a group of faculty and staff from across the colleges have been working together through the Office of Consortial Academic Collaboration to explore developing a Claremont Data Science curriculum and programming faculty development opportunities. We would like to share some of our accomplishments over the past year and hear from you about what you’d like to see at the 7Cs. We are also hopeful to connect shared data science research and teaching interests across the colleges.
Please let us know you’re coming with an RSVP.
The Office of Consortial Academic Collaboration has launched a survey to support development of 7C systems, programs and resources that will directly address identified faculty interests and needs pertaining to data science.
The 7C data science survey will only take a few minutes of your time – Thank you!
Endangered Data Week is a collaborative effort coordinated across campuses, nonprofits, libraries, citizen science initiatives, and cultural heritage institutions, to shed light on public datasets that are in danger of being deleted, repressed, mishandled, or lost.
The week’s events promote care for endangered collections by: publicizing the availability of datasets; increasing critical engagement with them, including through visualization and analysis; and by encouraging political activism for open data policies and the fostering of data skills through workshops on curation, documentation and discovery, improved access, and preservation.
Find out more about Claremont events on the library website.
The Claremont Colleges Library offers support for data science work across disciplines at all seven colleges.
This includes help finding existing datasets, research data management, (including writing data management plans for funding applications), resources for training and education, and a place to make connections with collaborators.
For more information, contact Jeanine Finn, Data Science and Digital Scholarship Librarian (jeanine.finn@claremont.edu)