Call for Self-funded Fellows for the 2021 IDEA (Innovation, Disruption, Enquiry, Access) Institute on Artificial Intelligence

Applications for Self-funded Fellows has closed.

The first Virtual Information Session was held on January 12, 2021. The recording can be accessed at:

https://mediaspace.illinois.edu/media/t/1_g9syh01v/160939361.


We invite applications for the inaugural IDEA (Innovation, Disruption, Enquiry, Access) Institute on Artificial Intelligence (AI). We are seeking library and information professionals interested in enhancing and applying their knowledge of AI in their workplace, to participate in the Institute.

The IDEA Institute offers one-week of intensive learning and practical experience in AI applications in library and information environments. The first Institute will be held at the University of Tennessee - Knoxville on July 10-16, 2021 (dates are tentative, pending COVID-19 circumstances).

We are seeking 5 Self-funded Fellows. Our priority is to recruit and create a cohort of Fellows who will represent diverse socio-demographic backgrounds, types of positions, types of libraries, and capacities of implementing AI in their workplace. We are recruiting applicants who:

  1. are enthusiastic to learning, evaluating, and applying AI in library and information environments;
  2. are committed to learning web coding and statistics fundamentals during the Pre-Institute Onboarding program;
  3. are committed to participating in the online Pre-Institute Onboarding Program (10-15 hours contact time over three months) and post-Institute activities (e.g., project presentations and implementation);
  4. can attend the 2021 IDEA Institute in Knoxville, Tennessee, for one week.

Program fee is $250. Fellows will additionally be responsible for the cost of their housing, transportation, and non-program meals.

Required Application Materials

  1. Statement of purpose (maximum 250 words or 1,500 characters)
  2. Personal statement (maximum 250 words or 1,500 characters)
  3. Vision statement (maximum 250 words or 1,500 characters)
  4. Brief description of computer programming language(s) and web coding knowledge (e.g., course(s), practical experience, etc.), if any
  5. Brief description of statistical knowledge (e.g., course(s), practical experience, etc.), if any
  6. Resume or CV (PDF or Word format)
  7. References (two)

Self-funded Fellows Selection Criteria

  1. Complete application
  2. Professional experience in library and information environment
  3. Commitment to exploring, learning, problem solving, and applying AI and emerging technologies to design equitable, accessible and inclusive library and information services
  4. Clearly-defined learning objectives
  5. Compelling personal and vision statements
  6. Commitment to learning web coding and statistics fundamentals during the Pre-Institute Onboarding program
  7. Commitment to participating in the one-week Institute, Pre-Institute Onboarding Program, and post-Institute activities

IDEA Self-funded Fellows will be chosen through a competitive selection process.


Applications for Self-funded Fellows has closed.

For more information, see http://idea.infosci.utk.edu or direct questions to Dr. Dania Bilal at dania@utk.edu