Trinity Christian College
Midwest Big Data Innovation Hub

June 2–3, 2023, hybrid (in-person + online elements)

Testimonials from participants in the Workshop on Data for Good for Education:
Rebecca Rapp, Assistant Professor of Computing and Information Studies, Washington & Jefferson College—workshop attendee

“Guided workshops were useful in terms of characterizing core ideas in terms that I could easily adapt to my course load.”

Shadi Alawneh, Associate Professor of Electrical and Computer Engineering, Oakland University—workshop attendee

“Topics discussed are very valuable for my data analysis class.”

Katherine Walden, Assistant Teaching Professor of American Studies, University of Notre Dame—workshop attendee

“The mix of structured and unstructured activities, time to hear about what others are doing in different instructional contexts [were the most valuable aspects of the workshop].”

Registration Information:

This is primarily an in-person event, with an online component to accommodate participants who are unable to travel. There is no registration fee for this meeting.

Venue Information:

The event will be held on the campus of Trinity Christian College in Palos Heights, Illinois, a short drive from downtown Chicago. Most workshop events will be held in the Ozinga Chapel building, located at 6601 W. College Dr., Palos Heights, IL 60463. Parking is available directly next to the building.

The venue is 10 miles from Midway International Airport and 30 miles from O’Hare International Airport.

Information on nearby hotels can be found here. In addition, a block of 32 rooms in the Main Residence Hall and a block of 18 rooms in an adjacent residence hall have been reserved for this workshop.

Travel Support:

The Midwest Big Data Innovation Hub can support travel and lodging costs for a limited number of participants at this workshop. Priority will be given to participants from primarily undergraduate institutions (PUIs), minority-serving institutions (MSIs), tribal colleges and universities (TCUs), early-career faculty, and others who do not have travel support from their home institution. Travel support requests can be made in the registration form and a workshop organizer will contact you with details if you are selected.


Complimentary meals and snacks will be provided on Friday (afternoon break and dinner) and Saturday (breakfast, lunch, and morning and afternoon breaks). Dietary restrictions can be specified in the registration form.

Virtual Participation:

For those unable to attend in person even with travel support, the meeting has online elements:

  • • Attendees will be able to live stream the plenary and workshop sessions, and participate in Q&A.
  • • Attendees can participate in optional facilitated work sessions for online participants.

Marketplace Contribution:

The workshop will feature two Marketplace of Ideas and Innovations sessions, with submissions from participants about their existing teaching practices around data for good, and time to discuss with other attendees. Workshop organizers will follow up with more details if you select this option on the registration form. Marketplace contributions will be viewable by online participants, but the sessions will be in person.


The Workshop on Data for Good for Education will be a professional development opportunity for all instructors seeking to more deeply engage their students through meaningful social good projects within a classroom setting. It will inspire, educate, and most importantly, allow faculty the chance to share, and prepare, materials for use within their own teaching context.

An important component of increasing persistence and success for our current generation of students is connecting their coursework to meaningful change or outcomes. The Workshop on Data for Good for Education will support faculty in developing their teaching to better incorporate the Data for Social Good (DSG) movement. This provides a natural connection to relevance with grassroots-level improvements in our society while promoting the broad applicability of data science.

Participants agree to follow the MBDH Event Code of Conduct (pdf).