Preparing for emergency: forecasting humanitarian finance
Problem: During a disaster, humanitarian organisations deliver live-saving aid as quickly as possible to those in need. While getting emergency relief to affected areas can be challenging, anticipating disasters in advance could potentially help to reduce human suffering and losses.
Humanitarian organisations are forced to be reactive, rather than being anticipatory. Consequently, finance for emergency response often only becomes available after a disaster has struck. Delayed financing causes even further delays in providing critical aid.
While there are numerous indicies that track and monitor different aspects of humanitarian assistance and drivers for need, there is no single source to guide early allocation of funds. Without having any models to anticipate the effect of an upcoming crisis, funding will only become available after the fact.
Outcome: To improve disaster response efforts, we ask you to help forecast humanitarian disasters and their impact in order to make available emergency funds available in time. Currently, there is not one comprehensive model to anticipate disasters and determine their impact.
Therefore, we ask you to:
Develop a model to forecast disasters;
Determine the impact of these disasters;
Indicate necessary amounts of funding;
Looking for: Statisticians, data scientists, domain experts, thinkers, and do-ers.
Datasets: (List of datasets with historical data on disasters and humanitarian funding will be made available end of October)