Algorithms, Big Data and Bias

Date: Thursday, October 6, 2022
Time: 11:00am – 12:00pm
Location: 114A Ellis Library
Register here.

Algorithms are computer code written by people, and humans can unknowingly introduce bias into their programming. These algorithms determine the results in your Google searches, shopping results and even in library databases. Results are ordered by “relevance” according to the rules set by these algorithms. Algorithms determine who should get hired, our ability to get a mortgage, and what type of political news we see on our social media feed. Learn how they affect your decisions and how you can combat their influence.

Presented by Sandy Schiefer, Journalism Research & Digital Access Librarian

Visit for a complete list of library workshops.

Engineering Library Fall Hours

The Engineering Library & Technology Commons will have the following hours for Fall Semester 2022:

August 22nd – December 18th:

Monday – Thursday: 8am – 10pm
Friday: 8am – 5pm
Saturday: Closed
Sunday: 1pm – 10pm

We will be closed Saturday, September 3rd – Monday, September 5th for the Labor Day holiday.

Please check our hours page for current library hours.

We are available via email at and our Ask A Librarian page.


Mara Inge

Mara Inge is a Sr. Library Information Specialist in the Engineering Library. She specializes in outreach activities and works with the Department of Energy microfiche collection.

Workshops @ Your Library – Software and Data Carpentry

Looking to add programming, scripting, automation, and data management skills to your research toolbox? Software Carpentry workshops return for Fall 2022! We have also added some Data Carpentry workshops this time, too! The format and Python or R content is similar, but instead of Unix Shell and Version Control lessons, Data Carpentry workshops have lessons on collecting and organizing data, cleaning messy data, and manipulating/retrieving data via SQL. Check each workshop’s registration page for information on the content of that workshop.

These 2-day hands-on workshops will focus on basic concepts and skills to help researchers perform their work in less time and with less pain with code (Python or R), version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

Pre-registration is required.