Ocean Evidence Gap Map (2021-2022)
We are living through an era of rapid social and environmental change, particularly for the world’s oceans. This rate of change is seemingly matched by the generation of information (and misinformation) regarding potential solutions to achieve sustainability changes across scales.
Evidence synthesis is a powerful tool to draw insights from multiple sources to guide evidence-based decision-making and identify areas where more targeted research is needed. Nonetheless, traditional approaches to synthesize evidence are inadequate to meet the needs of today’s end-users.
Evidence synthesis research is usually discipline-specific as well as time- and resource-intensive, and it involves software that is inaccessible to many. Over the last few years, researchers have increasingly used machine learning and a broad mix of proprietary and open-source applications for evidence synthesis. Yet many of these tools are developed in silos with little effort to integrate approaches, and they still require considerable time, expertise and resources to implement. To support ocean conservation science and practice, there is a need for resource-efficient synthesis approaches that are accurate, accessible and reproducible.
This project will convene a network of synthesis experts and end-users from scientific, philanthropic and implementing organizations to pursue several aims, including to:
- Assess the efficiency, performance and usability of existing machine learning tools and approaches for evidence synthesis
- Develop an integrated assemblage of efficient and accessible tools and approaches – known as an evidence pipeline – to support future evidence synthesis research in various sustainability fields
- Utilize the evidence pipeline to advance the marine conservation evidence base in collaboration with practitioners and policymakers
The project team will identify and prioritize challenges and needs for progressing cost-effective evidence synthesis and potential candidate state-of-the-art solutions. Team members will focus on methods developed by previous teams, identifying ways to facilitate integration of a diverse array of open-source tools and approaches.
Next, the team will evaluate the efficiency, performance and usability of various candidate tools for improving parts of the synthesis process. The output will be the development of an evidence pipeline to support efficient and robust synthesis from search string development through reporting, to be shared with the broader academic and practitioner community.
Learn more about this project team by viewing the team's video.
Suite of integrated cost-effective tools and approaches for evidence synthesis; scientific publication; policy briefs and/or website with interactive platform for sharing updated evidence map results
Summer 2021 – Summer 2022
- Summer 2021 (optional): Identify synthesis experts and end-users to participate in working group
- Fall 2021: Learn about research protocol (new team members); conduct virtual working group meetings with synthesis experts and end-users; evaluate candidate open-source tools and approaches identified by working group
- Spring 2022: Conduct final set of remote working group meetings with synthesis experts and end-users; develop and test evidence pipeline
- Summer 2022 (optional): Disseminate research outputs (e.g., evidence pipeline, academic publication, R package, webinars)
Image: Fiji Marine Conservation, by Frontierofficial, licensed under CC BY 2.0
- Lisa Campbell, Nicholas School of the Environment-Marine Science and Conservation
- David Gill, Nicholas School of the Environment-Marine Science and Conservation
- Morgan Rudd, Nicholas School of the Environment-Marine Science and Conservation
/graduate Team Members
Michelle Jones, Liberal Studies-AM
/undergraduate Team Members
Madena Mustafa, Environmental Sci/Policy (AB)
/yfaculty/staff Team Members
Brian Silliman, Nicholas School of the Environment-Marine Science and Conservation
/zcommunity Team Members
Gabby Ahmadia, World Wildlife Fund-US
Samantha Cheng, Center for Biodiversity and Conservation, American Museum of Natural History