We develop universal impact taxonomies that enable users to tag or classify social programs in a more systematic and precise way. The Impact Genome does this for social science. ![]() This data enables scientists to systematically code, analyze and compare different phenomena. DNA, molecules, chemical elements, etc.). Scientific research relies on the ability to break things down to their lowest common denominator (e.g. Therefore intervention development largely remains a black box… a process of educated guesses.” In the words of William Riley, who runs the NIH’s Office of Behavioral Social Science: “An extensive literature has established the effectiveness of various behavioral interventions… but this literature often fails to isolate the intervention components that are more or less effective. That’s because there is no common terminology in social science - every program is described differently, using different words and phrases for similar concepts. ![]() Social science, public policy and philanthropy have long suffered from a ‘black box problem’ - we know that some things work, and others don’t, we just don’t know why.
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