African Synthesis Centre for Climate Change, Environment and Development
African Synthesis Centre for Climate Change, Environment and Development
This research team investigates the complex links between climate change, conflict, and agricultural livelihoods in the Sahel, where extreme weather events and resource scarcity intensify socio-economic vulnerabilities.
This project aims to synthesize data on non-economic loss and damage (NELD) over the past decade, identifying key risks, and informing policy responses.
The Green Resilience Africa team will synthesise available data to generate evidence-based recommendations to support forest landscape restoration practices in countries including Ethiopia, Togo, and Madagascar.
This climate justice synthesis team will develop a climate justice-centred approach to environmental impact assessments (EIAs), ensuring that community concerns about land tenure and environmental health are centred.
The Blue Africa team seeks to ensure carbon storage efforts in African coastal and marine ecosystems are aligned with the needs of African people.
By using systems mapping and expert input, the project seeks to provide actionable recommendations to enhance the resilience and sustainability of animal source food systems across the Southern African Development Community (SADC) in response to climate variability.
This team will synthesise literature on the impact of climate change, analyse geospatial data to assess the climate vulnerability of schools across sub-Saharan Africa, and examine case studies of climate-proofing interventions.
Synthesis research includes integrating existing data or knowledge from different sources to answer a question or questions that will support climate and development policy and/or practice. Synthesis typically integrates across multiple disciplines, and transcends academic boundaries to include associated knowledge from policy or practice. Research can be focused on any geographical scale, but if your research includes very localised synthesis (e.g., a focus on a specific city or locality as opposed to a synthesis across many cities or localities or cases) then the research should be relevant by being able to inform research, policy and/or practice in other contexts more generally.
Examples of synthesis research include, but are not restricted to: (i) combining data from many independent research projects or data sources to produce insights across different contexts; (ii) integration of diverse quantitative and/or qualitative data such as multiple case studies, government datasets, satellite data, climate model data, commercial data or other data and knowledge types to undertake a novel analysis; (iii) convening experts from different backgrounds to address a question through expert elicitation, delphi processes, or other approaches; (iv) conceptual synthesis of different theories or frameworks, or integration of different existing methods or models (e.g., integration of different approaches to vulnerability assessment); (v) extracting and processing data from reports and research articles or other sources such as social media or remote sensing to generate large, newly integrated datasets and analysing the resulting data to produce new insights or evidence; (vi) using machine learning to assist with synthesis of large datasets; (vii) large systematic reviews, evidence mapping, or meta-analyses that combine statistical results from multiple separate studies. Teams might often propose to adopt multiple approaches to generating synthesis results, such as integrating diverse quantitative data coupled with synthesis of qualitative frameworks. Proposals should provide evidence that sufficient data and appropriate analytical tools are available or will be developed to tackle the research questions. This synthesis of existing data may often require substantial data processing (e.g., for cleaning climate impacts data, or aggregating social survey data) and can often lead to the development of new, integrated datasets or knowledge frameworks as important research products. Our requests for proposals will not support new data collection using fieldwork or laboratory experiments.
The defining characteristic of actionable research is that it is solution-oriented. It goes beyond understanding an environmental or social problem, or the bounds of a narrow academic debate, and launches us into the challenging realm of what can be done, how and by whom. This may require a change in mindset for many researchers – an expansion of thinking into the messier (and often more exciting) issues associated with decision-making, public discourse, and on-the-ground practice. Actionable research is for those who want their work to make a difference in the larger world. Such research typically requires expertise from multiple disciplines and often requires thinking about social and environmental systems because it is rare for a single discipline or perspective to have the answer to a real-world problem. Actionable research also typically requires that we listen to evidence needs, bring together diverse types of knowledge and experience and work with experts and decision-makers outside the world of academia to co-produce research that can improve policy and practice outcomes.
Synthesis teams are typically composed of 5–15 participants from a range of backgrounds, disciplines, sectors, career stages, and institutions. By integrating diverse perspectives and data sources, synthesis teams can discover gaps in knowledge and reveal new insights. The synthesis team model is designed to accelerate discovery and increase the impact collaborative research can have on decisions and actions to enable people and nature to thrive.
