Data Analytics for Sustainable Herding (DASH) Introduction



in the Sahel the semi-arid Belt south of the Saharan desert countries are facing a conflict deadlier than Boko Haram increased competition over land and water driven by climate change population growth in agriculture expansion have exacerbated violent conflicts between farmers and herders that threatens the stability and livelihood of the 300 million people who live in the region with temperatures in the region projected to increase 1.5 times the global average in the coming years the situation is only going to become more dire the rapid responses required but unfortunately policymakers lack the information and tools needed to make decisions on the complex interactions of factors driving the conflict timely access to accurate information is crucial for data-driven policymaking fortunately there's more data now than ever before satellites mobile phones and GPS enabled systems all supplying critical data which can be used to analyze patterns assess risks and find solution to resource shortages in order to make sense of this data we've developed – our data analytics for sustainable herding a methodology for policymakers to understand the interactions between climate change human mobility and violent conflict – does this in three ways first by mapping and visualizing the changes over time and climate migration patterns and allocation of Natural Resources second by mapping the conflicts and analyzing their drivers and lastly by producing a near real-time prediction model of natural resource constraints and potential violent conflict using data analytics and artificial intelligence techniques these time and location specific insights can then be used to inform effective policymaking and public service allocation at the local national and regional level – has the potential to not only 8:00 in prevention of violent conflicts between farmers and herders but also could be used to design Castoro as extension services anticipate and plan for resource constraints adopt evidence and database policies and design long-term urbanization or agricultural development plans we're looking to build partnerships with like-minded organizations to expand ash's reach and impact – was the first prize winner of the 2018 geneva challenge it has received positive feedback from experts across the fields like the United Nations the World Bank World Economic Forum and the government of Senegal are multi-dimensional team consists of professionals from five countries with backgrounds ranging from finance to engineering together they've created an innovative approach to a growing crisis our mission is to create a blueprint to utilize big data and artificial intelligence for better decision-making and the deep uncertainty the time to act is now contact us today to find out how you can be part of this initiative

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