The most challenging part of executing on a data science problem is defining the problem statement. This is made even more challenging when working on the problems we call “wicked problems” - those that might not have a clear end state, suffer from contradictory information, or are in service of uniting a highly fragmented sector (e.g. “solving” poverty). This webinar will walk you through applying DataKind’s approach to scoping data science for good projects. Through several inclusive growth and recovery examples, we’ll demonstrate how to write problem statements and use DataKind’s “six components” to set your project up for success. By the end of Scoping 101, you’ll have the tools to identify your data-scienceable problem, map it to your organization’s theory of change, and articulate all this in a way that’ll resonate with both data scientists and social actors.
About Datakind: DataKind is a global nonprofit that harnesses the power of data science and AI in the service of humanity. Named one of Fast Company's top 10 innovative nonprofits, DataKind engages pro bono data scientists and leading social change organizations on projects that address critical humanitarian problems and drive the conversation about how machine learning and AI can be applied to solve the world’s biggest challenges. Launched in 2012, DataKind is headquartered in New York City and has Chapters in Bangalore, San Francisco, Singapore, the United Kingdom, and Washington DC.
About data.org: data.org is a platform for partnerships to build the field of data science for social impact. We envision a world that uses the power of data science to tackle society’s greatest challenges. data.org works with organizations from all over the world to increase the use of data science in order to improve the lives of millions of people.
About the data.org Inclusive Growth and Recovery Challenge: https://www.data.org/challenge/