Data analysis & forecasting
Big Data enables us to bring together real-time information, in country, that can unpick some of the complexities at play in pastoralist communities in East Africa and elsewhere.
With sophisticated computing, reporting and visualisation tools, research teams and analysts can bring together, mine and make sense of seemingly disparate sets of data and information such as livestock genetics, weather, markets, human geography, soil quality and population medicine. Complex questions can be asked and new trends and inter-connections traced. By co-creating research and practice questions, pastoralists, Jameel Observatory partners and others can develop digital tools to help communities and individuals shape their own food security, nutrition and livelihoods.
Examples of data and evidence-led projects involving Observatory partners include:
used to help understand changes in food and nutrition insecurity, providing early warning indicators within food security and nutrition early warning systems.
(Save the Children)
leverages data and expertise from our community to address existing problems for children using innovative data science techniques.
(University of Edinburgh)
a randomized evaluation that will compare the impacts of aid sent to Somali households before and after a drought has begun, supported by the King Climate Action Initiative.
These ever-growing, enriched and tailored sets of data will enable us to:
- Combine data, information and local knowledge to better predict climate risks, encourage coordinated actions, and guide (and evaluate) interventions
- Build and mobilise expertise and data to tackle tough challenges as experienced first-hand by pastoralists themselves.
- Capture real-time price information, such as the cost of food or use spatial imaging to track vegetation growth and detect rainfall anomalies
- Use satellites, drones, weather data and remote sensing to detect location and numbers of livestock, as well as quantifying available feed resources
- Work with space agencies to monitor atmospheric methane as a proxy for livestock numbers
- Capture relevant news and social media through natural language processing
By better understanding these complex environments and key research questions, pastoral communities and the people working with them can use data-powered solutions to better monitor and assess needs, target interventions, and effectively collaborate and coordinate their efforts.