Emerging Technologies Faculty Fellowship Program: Call for Applications

In the 2024 - 2025 Emerging Technologies Faculty Fellowship participants will:

• analyze how generative AI can be used to create, enhance and/or administer course content 
• maximize students’ skills, potential, and well-being enhancing student success, 
• provide guidance to the larger community on generative AI effective practices in teaching and learning. 
• empower instructors to promote the inclusive, ethical, and effective use of generative AI

By focusing on generative AI tools in education, the Faculty Fellowship Program aims to create an inclusive and supportive learning environment that equips instructors and their students with the skills to thrive in a rapidly changing world.

This is a UMN system-wide initiative open to: 

• Teaching Faculty members, and
• Professional and Academic (P & A) positions with responsibility for teaching courses. 

Applicants must:

• meet with their respective department chairs and/or associate deans to explore the implications of their work in their programs prior to applying. 
• include a letter of support from applicants' respective department/division chairs and/or associate deans outlining the strategic value of the fellowship work to the department/college. 
• Teach a course during Spring 2024 or Fall 2024 semesters using the activities or resources developed while participating in the FFP.

1. Current vita 
2. Letter/email of support signed by your department chair or an associate dean. This letter/email should reflect how your proposed fellowship:
   1. aligns with department/college strategic goals; and
   2. creates opportunities for sharing with departmental/collegiate colleagues.
3. Complete project proposal 
   [Use this Link to create a copy of the application form] 
   1. Rename the document generated [Your Name FFP 2024]
   2. Respond to the questions in the editable document you have launched
   3. Share that document with [email protected]. This allows reviewers to access the proposals.

Application Deadline: November 15, 2023

To submit your application attach the above three items to a single email addressed to [email protected] with the subject line [Your Name FFP 2024]

Faculty and Instructors representing multiple disciplines will be awarded $5,000 each contingent on meeting the Faculty Fellowship program expectations. Half of the award will be dispersed to the faculty fellow’s department after the first cohort meeting. The remaining funds will be awarded upon completion of the fellowship program. Awardee may request the disbursement of funds sooner if the needs of the proposed project warrants.

Fellowship award funds can be used to support the project as agreed upon by the faculty participant and their department/college. Funding may include:

• software licensing 
• conference registration and travel
• Salary and fringe for TA, GA, or RA. 

Note: Funds can not be used to supplement faculty or instructor salary. 

Upon acceptance into the program, awardee will be required to identify a departmental finance contact who will be responsible for setting up the appropriate Enterprise Financial System (EFS) account using the program's established ChartString2  that enables the tracking of funds.

This program seeks to foster a cohort of engaged faculty, therefore participation in cohort bi-monthly meetings (every other month) is expected. Ad-hoc meetings with other cohort fellows and support consultants may also be needed to meet cohort goals.

All accepted applicants will be expected to:

• Develop measurable project goals, a timeline for implementation, and budgetary needs to realize project goals 
• Attend all cohort virtual synchronous sessions and actively participate in sessions. The cohort will meet via Zoom on the following dates:
  • Monday, January 8, 2024, 9:30 am to Noon
  • Friday, March 22, 2024, 9:30 am to Noon
  • Thursday, May 2, 2024, 9:30 am to Noon
  • Two meetings will be held in Fall 2024, dates and times TBD
• Collaborate with Teaching Support FFP consultants, local Academic Technology professionals, colleagues, and GAs as needed who can provide guidance and assistance in the discovery and development of projects.
• Share within the FFP cohort the results of your iterative exploration and application of using generative AI tools
• Share and receive feedback with the cohort
• Individually and/or collaboratively document and present final results to the broader UMN community