Participatory Scenario Development and Future Visioning in Adaptation Planning: Lessons from experience Part I
In this paper, we introduce and present major lessons learned from the application of participatory scenario-based tools.
We illustrate how such tools provide opportunities to increase the usability of information on climate change impacts when developing adaptation responses and exploring linkages between development, projected climate change and relevant adaptation responses. We show the type of structured processes needed that can bring together current challenges, potential future socioeconomic pathways and climate change impacts to determine how different stakeholders view the range of policy and management options available to them, and then to identify appropriate policies and adaptation actions in the context of—and across—plausible development pathways.
This paper is followed by another publication outlining specific applications of participatory scenario development (PSD) in three countries: Ghana, Honduras and Tajikistan.
You might also be interested in
Citizen-Generated Data: Data by people, for people
Citizen-generated data complement official data and provide a necessary context for decision-makers to address those left behind, suffering from data marginalization and the outright invisible in national statistics.
Disaster Risk Reduction in an Unstable World
Successful disaster risk reduction requires both top-down, institutional changes and strategies and bottom-up, local, community-based approaches.
What Is Alternative Data and How Can It Help Efforts to Leave No One Behind?
Official statistics and measures of poverty do not fully capture the causes of marginalization and how they intersect and interact. The 2030 Agenda is catalyzing a shift in how the world thinks about data and the use of "non-official data sources" to better reflect the needs of the most marginalized.
Disparities in COVID Impacts Underline the Importance of Racialized Data to Understand and Address Systemic Racism
Racialized data on risk exposure and health impacts can help understand inequities in COVID-19 impact and support preventive policy decisions, but collection to date is haphazard.