Stage 4: Transition to Scale
The methodology has been developed and tested for cases in Mexico, France, EEUU and Colombia. The project has been presented and received honours in the UN Data For Climate Action Challenge. Currently we are seeking more partners to scale up.
Peace and Resilience, Digital Finance and Economic Empowerment
Peace and Resilience, Digital Finance and Economic EmpowermentSEE LESS
Measuring the impact of natural disasters real-time is key to improve resilience. It is necessary to assess the impact not only physically but its social-economic and psychological impact. Also, the resilience needs financial mechanisms that require precise quantification of all the dimensions of the disaster. Humanitarian organizations need this information real-time and in a reliable way.
Using big data and open data to solve this problem opens new opportunities for humanitarian stakeholders. Big data provides reliable fingerprints of the social and physical impact of the disaster that cannot be mistaken or misused. Big Data also allows real-time quantification provided data sharing mechanisms. Our approach tackles this problem with a responsible protocol to access privacy-risky data in a secure way.
Affected population, UN, governments and humanitarian stakeholders. They all can benefit from accurate quantification of disasters impact. In Africa, WFP has a spin-off for resilience finance called ARC which are partners.
This project would help to create a reliable information flow and create resilience networks that would help all the population of the affected areas in a sustainable and trustful way
Mission and Vision
These tools should be an standard to help humanitarian agencies to manage floods and short-term disasters. We want to be a layer in the reaction of humanitarian stakeholders during disasters to improve the planning, the action and the evaluation of humanitarian action. We also want to attract investment by introducing responsible and accurate quantification of disasters impact.
Indicators to estimate the impact of floods in infrastructure, earth and people are missing. This project implements a methodology to measure the impact of floods in all their dimensions integrating data and scientific methods. Using data indicators and AI, it would be possible to predict the impact and classify floods for early warning and disaster management.
Eventually, the innovation would take data sources for different places to generate indicators automatically that would be reported to humanitarian action agencies. The design of the protocol to access data grants that the data is used in a trustful way. The entire workflow of the innovation comprises the creation of data flows based on evidences and the identification of social leaders (netwokr nodes) to create resilience networks based on big data that is reliable about the impact of the disaster and the impact in the population and how the society recovers from the disaster. Eventually, the impact measured will be transformed in a monetary quantitative assessment that can be hardcoded using blockchain. The project aims at reducing the impact of disasters, improving resilience and reduce the inequalities that are generated because the effects of the disasters in vulnerable populations.
Floods cost lives and cause important damages every year. Along with storms they are the most frequent disaster according to UNISDR https://www.unisdr.org/we/inform/disaster-statistics
Having metrics and indicators of socio-economic impact for floods for crisis management is totally necessary. Nowadays, there are proxies of physical impact, but we propose a total framework with indicators and proxies in real time. Our strategy also helps to leverage high granularity data by privacy-safe protocols to access and use data.Thanks tothis frameworkit wouldbe possible toplan humanitarian action, develop policies andfunding resilience in a responsible and accurate way.
Planned Goals and Milestones
Collaborating with public and private sector to leverage scientific methodologies and data as standard in disaster management mechanisms. We are working towards having real-time access to high-granularity data. UN Global Pulse is advisor of the project and we started working with WFP-Africa Risk Capacity to develop the project.
New case-studies were designed within the UN data for climate change Challenge and now we are working with WFP to extend the analysis to other countries in Africa.
|Projected Cumulative Lives Impacted||40,000|
|New Implemented Countries||Nigeria|