Dr. Lindsay Clark, a Research Specialist in the department of Crop Sciences at the University of Illinois at Urbana-Champaign, needed a gel imager for her work. She didn’t want to spend $10,000, so built her own for considerably less.
Friday, Dec 8h from 11am-12pm
314 Main Library
In this workshop, we will use MALLET, a java based package, to construct and analyze a topic model. Topic models are a computational method of identifying and grouping interrelated words in any set of text. This workshop will focus on how to correctly set up the code, understand the output of the model, and how to refine the code for best results. No experience necessary. You do not need to have attended Part I in order to attend this workshop.
Wednesday, Dec 6th from 11am-12pm
314 Main Library
Topic models are a computational method of identifying and grouping interrelated words in any set of texts. In this workshop, we will focus on how topic models work, what kinds of academic questions topic models can help answer, what they allow researchers to see, and what they can obfuscate. This will be a conversation about topic models as a tool and method for digital humanities research. In part 2, we will actually construct some topic models using MALLET.
Friday, December 1, 1 – 4 p.m., Main Library, room 314
GIS experience needed: Beginner to Intermediate; Python experience NOT required
Visit the Scholarly Commons website more upcoming workshops, and to register.
Programming tools are now a standard feature within GIS software packages and allow GIS users to automate, speed up, and become more precise in their data management and analytic work. This workshop is designed for GIS users who have little to no experience with computer programming and will cover core programming concepts related to GIS using the Python programming language. The workshop will focus on guiding attendees through hands-on exercises designed to provide the essential skills to programmatically manipulate data as part of a GIS workflow. This workshop is designed to be preparation for the following workshop on Advanced Python for ArcGIS, but may be taken independently.
- Thursday, November 30, 1 – 4 p.m., Undergraduate Library, room 251
- Friday, December 1, 8:30 a.m. – 12:30 p.m., Undergraduate Library, room 251
- Saturday, December 2, 10:30 a.m. – 1:30 p.m., Undergraduate Library, room 251
Want to meet your writing goals in a distraction-free setting? Join the Writer’s Workshop for sustained writing in the company of your colleagues from across the disciplines. Each session will begin with a short conversation about goals and end with a wrap-up of accomplishments. Commit to a writing routine by regularly attending one of these groups. Continue reading
The article These are the world’s most powerful supercomputers by Popular Science not only highlights those with the most power, but also describes what a supercomputer is and how it differs from a server farm.
Want to manage your research data more proactively? Sign up to receive monthly data management reminders that come with quick, easy tips and activities designed by your local Research Data Service.
Thursday, November 16, noon – 1 p.m., Swanlund Administrative Building, room 500
Join the University of Illinois Press for an informative, wide-ranging conversation about publishing with an academic press. Daniel Nasset, senior acquisitions editor, and Michael Roux, marketing and sales manager, will give brief presentations on their roles at the University of Illinois Press. The session will be of interest to both first book and seasoned authors. If you plan to attend, RSVP to Kelley Frazier at email@example.com.
As part of the Beckman Institute’s Tech Talk series, Scott Robinson, manager of Beckman’s Microscopy Suite, will provide an overview of current services and then discuss upcoming instrumentation available for clients. The talk will be from noon-1 p.m. Nov. 14 in Room 5602. The next talk in the series features the Biomedical Imaging Center on Dec. 12.
Software and Data Carpentry workshops are held all around the world. The combined sessions have brought over 27,000 learners into workshops to learn to better use “R and Python to work with data, write functions, and initialize repositories in git”.
The Data Carpentry community has reviewed its assessment results and published an article on the impact of these sessions.