To encourage and support students in accessibility research, CREATE funds minigrants to students who are working on accessibility-related research projects. Projects could be part of a course or be independent research under the guidance of a faculty member. One example of a good use of funding is to pay a participant in a research study who has a disability.

Applications can be submitted at any time. Funds can be spent any time of year but should be spent within the academic year. 

Typically, it takes a few weeks to receive a decision. If funded, CREATE will pay expenses when they are incurred. There is no limit to the number of applications a student might make. 

Eligibility requirements 

To be eligible, the student and project must satisfy all of the following criteria:

  • The student must be a registered UW undergraduate or graduate student.
  • The student must be a CREATE Student Member.
  • The project must involve accessibility research.
  • If human subjects are involved, the student must take IRB training. 
  • The student must have a faculty advisor to help guide the student.
  • The student commits to providing a report with a presentation poster/demo. Any publication that results from the project must acknowledge CREATE.

Use of funds

Grants of up to $2,000 are limited to use for:

  • Compensation for study participants
  • Travel expenses for study participants
  • Funding for interpreting or captioning services
  • Other justified costs that are not compensation for applicant

Evaluation criteria

  • Student and project satisfy all the eligibility requirements.
  • Student would be a first-time recipient of a CREATE Student Minigrant.
  • Student provides evidence of understanding the disability group that is the target of the research.
  • Project has high potential for publication as a paper or poster at a conference.
  • Project budget follows the limitations above and is justified.
  • Project is well formulated and doable within the proposed timeline.

Proposal template 

Submit all of the following as a PDF attachment on the CREATE Student Minigrant application form:

  1. Name, email, department or school, faculty advisor
  2. Project title
  3. Project description (typically 1-2 pages)
    • Problem being addressed by the research
    • Any context or background needed to understand the problem
    • Methodology used to solve the problem
    • Plans for publication or other dissemination of results
    • Timeline for the project: start, finish, any milestones
  4. Budget with justification

Funded Student Minigrants

Academic year 2021-22

UnlockedMaps: Mapping Real-Time Accessibility of Urban Rail Transit. Led by Ather Sharif, a Ph.D. student in the Allen School. 
ASSETS’22 Conference Paper | UW News article

Flipping the Script: Designing Systems to Support Blind Audio Description Scriptwriters. Led by Lucy Jiang, an undergraduate student in the Allen School. This research appears in Lucy Jiang’s senior thesis and was presented at the UW Undergraduate Research Symposium. It was also an accepted poster presentation at ASSETS 2022.
UW Undergraduate Research Symposium entry

Understanding User Preferences for a Robot Feeding System. Led by Amal Nanavati, a Ph.D. student in the Allen School. This research is currently underway.

Academic year 2020-21

Inclusive Design in Video Communication Accessibility with Deaf/deaf and Hard of Hearing Signers. Led by Ana (Ping) Liu, Master’s student in the Department of Human Centered Design & Engineering. This project resulted in a submission to the ACM CHI Conference on Human Factors in Computing Systems (CHI 2022).
Video presentation

VerbalEyes. Led by Lucy Jiang, an undergraduate student in the Paul G. Allen School of Computer Science and Engineering. The research in this project helped justify the design of VerbalEyes, a student-led project to create automated audio descriptions. A poster about the project at the 2021 Tapia Conference won the First Place Undergraduate Award.
Product website

Universal Access to Autonomous Vehicle: Universal Design principles during transition to robot-taxi. Led by Solji Lee, a Master’s student in the School of Art + Art History + Design. The research in this project led to a design Master’s thesis that was demonstrated at an exhibition in the Henry Art Gallery.
Thesis page

Visualizing the Accuracy of Automatic Captions. Led by Kelly Mack, a Ph.D. student in the Paul G. Allen School of Computer Science and Engineering. This research supported a class project in the graduate data visualization course.