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AI and Evidence Synthesis for Nature-based Solutions and Food Systems Workshop Report

Reynolds, C. ORCID: 0000-0002-1073-7394 & Edwards, F. ORCID: 0000-0003-0389-193X (2026). AI and Evidence Synthesis for Nature-based Solutions and Food Systems Workshop Report (10.25383/city.31144960). Centre for Food Policy, City St George's, University of London.

Abstract

The Joined Up Landscapes project focuses on Nature-based Solutions for climate adaptation and mitigation in the UK. The first work package developed a systematic map of literature on the relationship between Nature-based Solutions and food systems in the UK. The ambition is to scale this map globally and transition to a living evidence synthesis model using AI. This workshop brought together leading experts to explore the opportunities for AI-driven evidence synthesis for Nature-based Solutions and food systems. The event showcased existing innovative evidence synthesis projects covering a range of topics, including: health; conservation; biodiversity; climate adaptation; and climate-health emergencies. Each project presented their activities. This was followed by a general discussion, including on challenges such as grey literature integration and responsible AI use, considerations around policy engagement. Opportunities for collaboration and future funding bids were discussed, including the potential for shared taxonomies and repositories.

Publication Type: Report
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Departments: School of Health & Medical Sciences
School of Health & Medical Sciences > Department of Population Health & Policy
SWORD Depositor:
[thumbnail of JUL_WP1_Workshop 2 report_10February2026.pdf]
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