Active Climate, Earth & Environment Computing & AI

SOLACE-AI: Synthesis of Online Literature for Adaptation to Climate-Change Emergencies

In plain English

AI plain-English summary

When a climate-related health emergency strikes—a heatwave, a flood, a disease outbreak—humanitarian responders need the best available evidence within hours, not months. SOLACE-AI is a new tool designed to produce that evidence synthesis in real time. The problem is that current evidence reviews take weeks or months, rely almost exclusively on academic papers, and often ignore the most affected regions. This leaves policymakers and aid organisations making critical decisions with outdated or incomplete information. SOLACE-AI will automatically scan not only scientific literature but also humanitarian reports, policy guidelines, impact assessments, and local case studies—documents that are typically excluded from traditional syntheses. If successful, the tool could drastically reduce the time, effort, and cost of producing evidence syntheses. These would be on-demand and always up-to-date, allowing responders to address urgent problems in countries and on issues of health equity that have been routinely overlooked. The team will test the system against six concrete, real-world problems that their collaborators are currently facing globally. Better evidence in the hands of decision-makers could lead to better outcomes for communities affected by climate-related health emergencies.

View original technical description
We will create SOLACE-AI, a tool to create real time evidence synthesis, to support policy and humanitarian responses to climate-change health emergencies. Our interdisciplinary and diverse team will co-create the system with policy makers, humanitarian organisations, experts in evidence synthesis, and impacted populations including in countries most affected by climate change. SOLACE-AI will be built on top of new technologies which we will create and evaluate. The system will consider scientific literature, and also critical non-research documents such as humanitarian reports, policy guidelines, impact assessments and local case studies. We will closely follow best practices in scientific evidence synthesis, and rigorously evaluate the accuracy of system components. We will evaluate the system in six, diverse case-studies—concrete, urgent problems which our collaborators are facing globally. We aim to drastically reduce the time, effort, and cost of producing evidence syntheses. The syntheses created by SOLACE-AI will be on-demand, always up-to-date, and could address problems, countries, and issues of health equity which have been too-often ignored. Getting high quality evidence into the hands of those facing and dealing with climate health problems could lead to better decision-making, and ultimately improve the lives of affected community residents.

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Researchers

Byron Wallace (EPMC Awardee)Iain Marshall (EPMC Awardee)Scott Mahoney (EPMC Awardee)Shreya Shrikhande (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

Transforming Global Evidence: AI driven infrastructure to embed evidence synthesis in the working lives of policymakers
SALIENT: Science for Adaptation: Learning and Innovation in EvideNce about future climaTe
ADRELO: Advancing Resilience in Low Income Housing Using Climate-Change Science and Big Data Analytics
Transforming Evidence Synthesis: AI and the (R)evolution of the Evidence Ecosystem
Stories Of public health through Local Art-based Community Engagement (SOLACE)

Original classification

Advancing Evidence Synthesis for Climate and Health

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