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How to Design & Execute a Data for Good Project Using Open Data: An Introduction to DataKind’s Scoping Approach
The increased access to open data has presented new opportunities for better decision making, and the potential to create greater social impact. However, the availability of raw data is not enough to catalyze change on its own. Figuring out how to use that data - that is, defining the problem statement that you are trying to solve - is what we consider to be the most challenging part of executing a Data for Good projects.

This session promotes the use of open data for Data for Good projects where we’ll provide an overview of DataKind’s scoping process and case examples of how problem statements can be identified, evaluated, and executed. By attending this session, you’ll learn best practices in Data for Good project work and understand how open data could be leveraged within a data science scoping framework. You’ll also learn where to find how-to guides and other resources within the DataKind Playbook, which will be a globally accessible living knowledge base that will provide standards and processes for data-for-good projects. This event will be useful for anyone who uses open data in decision-making, including data scientists, technologists, and social sector actors.

Mar 12, 2021 03:00 PM in Eastern Time (US and Canada)

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