Activities sponsored by NULab are organized by faculty and graduate students and are open to all members of the Northeastern community and the Boston area. They are open to people working at any skill level—from entry level to expert. For information about participating in a group, please see the contacts below.
Digital Humanities Open Office Hours
Digital Humanities Open Office Hours will be held this spring semester on Tuesdays* from 2:00-3:15 pm in the Digital Scholarship Commons (2nd floor of Snell Library).
*note: the first meeting will take place on Wednesday, January 21th from 2:00-3:15.
For more information about DH Open Office Hours, please contact DSG Coordinator Jim McGrath(email@example.com). You can also follow The NULab’s Twitter account (@NULabTMN) for the latest updates on topics we’ll be discussing at future meetings. For more information about The NULab, visit www.northeastern.edu/nulab.
NULab Reading Group
The NULab Fellows run a Digital Humanities / Computational Social Science reading group to benefit the graduate students and faculty connected with NULab. Interested people from elsewhere are, of course, welcome as well! The idea is to bring the NULab together around highly relevant interdisciplinary research and engage in cross disciplinary discussion. For each session the fellows ask a NULab faculty member to recommend an article or two, sending those readings out to the community a week in advance, and convening to make sense of it all.
Contact the NULab fellows (firstname.lastname@example.org) if you would like to receive the readings, or the events page for
Working Group for Big Data, Analytics, and Statistics
Hosted by the NUlab, Christoph Riedl is holding a weekly un-conference, hackathon-style workshop meeting to talk about big data, data analytics, and statistics. There are (usually) no presentations and no talk but plenty of application and live coding. If you are interested in big data, if you want to share you data analytics work, show a visualization, demo your super-efficient massively parallel implementation of some fancy analysis, or if you simply want to learn about what data analytics projects folks at Northeastern are working on, come and join us. For more information and for a schedule of upcoming meetings, visit the group’s blog.