To elicit participant follow up feedback on the 2019 Machine Learning and Artificial Intelligence Applications in Translational Science Un-Meeting.
On Monday, June 1st, 2019 an Un-Meeting addressing the topics of Machine Learning and Artificial Intelligence Applications in Translational Science was held at the University of Rochester Medical Center. An evaluation survey was sent to all meeting participants following the Un-Meeting. CLIC conducted post-event evaluations of attendees to examine how well the meeting goals were achieved: one at the conclusion of the Un-Meeting (previously reported), and one at six-months post-Un-Meeting.
This report details the evaluation survey disseminated in December 4th, 2019, six months after the Un-Meeting. Six-month evaluation questions addressed Un-Meeting Collaborations, Value and Overall Experience.
An email and four reminders were sent to attendees at the six-month anniversary of the meeting with a link to the follow-up evaluation survey. At the conclusion of the online survey process, a total of 22 responses were received from the original 94 attendees, for a 6-month response rate of 23.4%. The majority of the respondents (n=15, 68.2%) “Agreed” or “Strongly Agreed” that the Un-Meeting continues to impact their work.
A total of 14 respondents answered a question about actions they had pursued or started to pursue as a result of attending the Un-Meeting. The top three responses were implementing a new research idea (n=8, 57.1%), developing a new pilot project/program (n=4, 28.6%), and collaborating on a grant proposal (n=3, 21.4%).
The survey included open-ended questions, in which attendees were asked to describe any benefits or valuable outcomes of attending the Un-Meeting. The text responses were iteratively coded between three and five times, via an open read through and then they were categorized into core themes. Text responses were independently coded by a minimum of two coders and reviewed iteratively until agreement was reached on the theme or themes present in the response. The most frequently reported themes were “Networking” and “Understanding, learning new ideas” (n=7 and 8, respectively).
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