We develop and implement novel solutions to document impacts of a wide variety of development policies and projects, market events, and other shocks in local economies. We have developed new methods to measure both direct and spillover effects. For example, our evaluations of impacts of social cash transfer (SCT) programs in Africa find evidence that each dollar transferred to poor households increases incomes in local economies by more than a dollar, because of the production spillovers they create. We have expertise in randomized control trials (RCTs) methods but specialize in evaluations that do not lend themselves to randomization or for which data to conduct an RCT are not available. Examples include impacts of refugee assistance on host countries, nature preserves on resource-extraction (e.g., fishing) communities, technological change on local production and incomes, eco-tourism on poverty, and climate change on migration and human welfare. We rely on a wide range of tools, from randomization to econometric and matching methods, local-economy impact evaluation (LEWIE), and the use of block chain solutions to make interventions more effective and secure. We collaborate with multiple UN agencies (the World Food Programme-WFP, Food and Agriculture Organization-FAO, UNICEF, International Fund for Agricultural Development-IFAD), the World Bank, Inter-American Development Bank-IADB, and various foreign governments, foundations, and NGOs.