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PHOTO STORY: Catalysts of change in India

CDKN research partner SEEDS have produced a photo essay showing the challenges of climate changeClimate change is a lasting change in weather patterns over long periods of time. It can be a natural phenomena and and has occurred on Earth even before people inhabited it. Quite different is a current situation that is also referred to as climate change, anthropogenic climate change, or ... in a village in Leh, India. Here, flash floodingThe overflowing of the normal confines of a stream or other body of water, or the accumulation of water over areas that are not normally submerged. Floods include river (fluvial) floods, flash floods, urban floods, pluvial floods, sewer floods, coastal floods, and glacial lake outburst floods ... in 2010 led to loss of lives and damage to infrastructure. The essays shows the participatory research and planning process subsequently undertaken by the project.

The SEEDS research seeks to identify a district level agenda for multi-stakeholderThe stakeholder is a person, group, or entity who has a direct or indirect role and interest in the goals or objectives and implementation of a program/intervention and/or its evaluation. (Glossary Monitoring and Evaluation Terms; MERG Monitoring & Evaluation Reference Group and UNAIDS) action that strengthens the integration of disaster risk reductionDenotes both a policy goal or objective, and the strategic and instrumental measures employed for anticipating future disaster risk; reducing existing exposure, hazard, or vulnerability; and improving resilience (IPCC-SREX, 2014). and climate change adaptation in planning. Comprised of a series of striking photographs with minimal one line captions, the photo essay represents a highly innovative way of communicating the project’s work and impact.

SEEDS and four other research projects are being funded under the South Asia Regional Research Cell, managed by CDKN’s delivery partner START.

Download (PDFProbability density function (PDF). PDFs are used to represent the relative likelihood that a parameter or variable will have a particular value. Where there is discrete set of possible values (e.g. heads or tails), the function represents the probability itself (e.g. 0.5, 0.5). Where the ...)

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