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Description
Athabasca University is pioneering an innovative approach to address the growing demand for universities to demonstrate the societal impact of their research. As the need to showcase tangible outcomes becomes increasingly critical, measuring and articulating impact remains a complex challenge.
Our session will offer an exploration of our journey with Elsevier's Pure Impact AI tool. With the support of Elsevier's Pure Impact AI, Athabasca is leading the way in developing a holistic, nuanced, and multifaceted solution to capture both qualitative and quantitative metrics of research impact. Attendees will learn how this advanced AI tool enables academic leaders and research administrators to efficiently find, measure, and communicate the societal impact of their research. We will share insights from our pilot testing phase. Through this partnership, Athabasca is setting a new standard for research impact communication, with Elsevier's technology playing a vital supporting role.
Athabasca University is Canada's open university, renowned for its commitment to digital innovation. Our research enterprise is both community-focused and impact-driven, challenging conventional methods by breaking down barriers to knowledge creation and dissemination. Pure, a robust research information management system that centralizes a diverse range of research data types, is focal to our efforts and is being used to enhance transparency and foster collaborative innovation across disciplines. And the Pure Impact AI tools discussed in this presentation features in this work.
Keywords:
Research Impact, Discoverability, Knowledge Mobilization
Start Date
16-9-2025 3:50 PM
End Date
16-9-2025 4:20 PM
Target Audience
Academic leaders, research administrators, impact assessment professionals, data managers, and technology integration specialists in higher education who are keen to harness AI for enhanced research communication.
Learning Objectives
1.Integrate AI-driven tools for comprehensive research impact assessment. 2.Enhance researcher discoverability through innovative data solutions. 3.Develop effective strategies for communicating societal research impacts.
Recommended Citation
Darlington, MacKinley; Newell, Sean; and Daniels, Paul, "Expertise in Impact: Enhancing Researcher Discoverability and Knowledge Mobilization through AI in a RIMS-Driven Environment" (2025). International Forum on Expert Finder Systems. 9.
https://efsrimsrepository.expertfindersystems.org/efs_forum/2025/fullschedule/9
Expertise in Impact: Enhancing Researcher Discoverability and Knowledge Mobilization through AI in a RIMS-Driven Environment
Athabasca University is pioneering an innovative approach to address the growing demand for universities to demonstrate the societal impact of their research. As the need to showcase tangible outcomes becomes increasingly critical, measuring and articulating impact remains a complex challenge.
Our session will offer an exploration of our journey with Elsevier's Pure Impact AI tool. With the support of Elsevier's Pure Impact AI, Athabasca is leading the way in developing a holistic, nuanced, and multifaceted solution to capture both qualitative and quantitative metrics of research impact. Attendees will learn how this advanced AI tool enables academic leaders and research administrators to efficiently find, measure, and communicate the societal impact of their research. We will share insights from our pilot testing phase. Through this partnership, Athabasca is setting a new standard for research impact communication, with Elsevier's technology playing a vital supporting role.
Athabasca University is Canada's open university, renowned for its commitment to digital innovation. Our research enterprise is both community-focused and impact-driven, challenging conventional methods by breaking down barriers to knowledge creation and dissemination. Pure, a robust research information management system that centralizes a diverse range of research data types, is focal to our efforts and is being used to enhance transparency and foster collaborative innovation across disciplines. And the Pure Impact AI tools discussed in this presentation features in this work.