Exploring University Age-Friendliness Using Collaborative Citizen Science

Gerontologist. 2020 Nov 23;60(8):1527-1537. doi: 10.1093/geront/gnaa026.

Abstract

Background and objectives: Since the launch of Dublin City University's Age-Friendly University (AFU) Initiative in 2012, relatively little empirical research has been published on its feasibility or implementation by institutions of higher learning. This article describes how collaborative citizen science-a research method where professional researchers and community members work together across multiple stages of the research process (e.g., data collection, analysis, and/or knowledge mobilization) to investigate an issue-was used to identify barriers and supports to university age-friendliness at the University of Manitoba (UofM) in Canada.

Research design and methods: Ten citizen scientists each completed 1 data collection walk around the UofM campus and used a tablet application to document AFU barriers and supports via photographs and accompanying audio commentaries. The citizen scientists and university researchers then worked together in 2 analysis sessions to identify AFU priority areas and brainstorm recommendations for institutional change. These were then presented to a group of interested university stakeholders.

Results: The citizen scientists collected 157 photos documenting AFU barriers and supports on campus. Accessibility, signage, and transportation were identified as being the most pressing issues for the university to address to improve overall age-friendliness.

Discussion and implications: We suggest that academic institutions looking to complete assessments of their age-friendliness, particularly those exploring physical barriers and supports, could benefit from incorporating older citizen scientists into the process of collecting, analyzing, and mobilizing findings.

Keywords: Our Voice Framework; Age-friendly university; Discovery tool.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Canada
  • Citizen Science*
  • Humans
  • Knowledge
  • Universities*
  • Walking