The KnowWhereGraph ("KWG"), an enabling application for various domains, is empowered by the convergence of Linked Data with environmental intelligence in the form of geo-enrichment or area briefings. Here we outline three main pilots that serve as horizontal testbeds. (1) Together with humanitarian relief organization Direct Relief, we focus on bridging the time-sensitive gap between identifying a potential disaster and finding experts on the ground. (2) With the agriculture and food industry, we focus broadly on food supply chain resilience, and (3) agricultural credit.
Disasters are complex and dynamic situations requiring humanitarian organizations to evaluate and respond rapidly to many different issues simultaneously. Often what is most needed to improve effective response is quick access to the right experts at the right time. To assist in identifying people with expertise in humanitarian aid and relief, with a particular focus on health and the health care impacts of disasters, we are working with Direct Relief...
Learn MoreIt is critically important to understand and improve the robustness and adaptability of our Food Supply Chain, making it more resilient to disturbances in food supply and demand networks. There is inherently a risk of network fracturing and delayed recovery during extreme weather events, wildfires, floods, and other natural hazards. In the face of uncertain natural hazards of increasing frequency and severity, it is vital that the implications of these disruptions are evaluated for the source nodes of our supply chains, such that resiliency in the whole supply chain can be promoted ...
Learn MoreAgricultural (Farm) Credit risk assessment and land valuation is an activity essential to the 70 farm credit associations and four banks in the U.S. that annually provide more than $2 billion USD in farm loans. Together with our partners, we have developed a use case focused on enhancing the quality and speed of evaluations of the key credit factors in the farming operations collateral valuation process to estimate the level of risk associated with a particular loan application. Five key factors include: (1) appraisals to calibrate the system, (2) loss given default (i.e., how much can be recovered upon default), (3) prepayment (i.e., forecast to deal with cash flow and tax laws), (4) crop yield projections, and (5)
Learn More