Strategic collaboration among the University of Illinois, the City of Champaign, a student-driven hackathon and two National Science Foundation programs—the US Ignite Smart Gigabit Communities Program and the Midwest Big Data Hub Program—kicks off this weekend
From February 23-25, university students from around the nation will converge at the Thomas M. Siebel Center for Computer Science to participate in HackIllinois, a student-driven hackathon. One of the components of this year’s event is the Reverse Pitch Challenge.
The Bio Imaging Lab at Beckman Institute decreased their processing time from over 260 days to just a few hours by leveraging Amazon Web Services at Illinois, provided by Technology Services. This is their story.
Travis Ross, manager of the Beckman Institute’s Visualization Lab, gives an overview on finite element analysis tools in Abaqus software, using 3-D mesh created from CT data captured in the Microscopy Suite. Mariana Kersh, an assistant professor of mechanical science and engineering, discusses how tools provided by the Imaging Technology Group help her research. Lunch is provided.
Participants will learn the benefits of best practices for managing research data. Through the series, we’ll present a basic introduction to data management using a data management plan framework, guide you through a hands-on activity and discuss how to find and vet resources for making data publicly accessible.
50 minutes, hands-on workshops that will help you improve your research and information management skills. The Savvy Researcher workshops cover over 50 unique titles in over 90 sessions. Upcoming sessions include:
Revamping Your Research Plan: Citation Chasing, Keyword Searching, and More
Using qualtrics.com to program and conduct surveys
Digital Publishing with Scalar
GIS for Research II: GIS Research, Data Management, and Visualization
Smart and Simple Data Management
Messy Data? Clean it up with OpenRefine!
Advanced Text Mining Techniques with Python and HathiTrust Data
Hands-on workshops that start with the basics and teach you how to:
➔ organize your research computationally
➔ automate repetitive tasks
➔ make your research reproducible
➔ help other researchers access your work
➔ use your work collaboratively
This workshop will teach you to work with R and the Unix shell and will familiarize you with database and version control tools.