This is a guest post written by Miriam Young, DataKind’s Communications Specialist.
At DataKind, we harness the power of data science in the service of humanity by bringing together data science experts with mission-driven organizations like GlobalGiving to work on projects addressing critical humanitarian problems. We have the honor of working with inspiring organizations around the world looking to use data to transform their work and are thrilled to be working on our second project with GlobalGiving using data science to drive dollars to effective organizations.
There is much that binds DataKind and GlobalGiving together. For one, as we discovered at our recent DataDive weekend in Nashville, we both have a knack for doing cartwheels down hallways (GlobalGiving was much better than we were.) Perhaps more significantly, we are bound together by our missions similarly dedicated to giving social change organizations access to powerful resources to amplify their impact.
As all of you know, GlobalGiving is in itself a tremendous resource for organizations and individuals raising needed funds to address critical issues around the world. GlobalGiving has another powerful resource up its sleeve as well: data. Because GlobalGiving’s website tracks each project’s fundraising progress and each click of a potential donor, they have gathered a tremendous amount of data that can, in turn, be used to help people more easily find organizations they would like to donate to and help organizations fundraise more effectively.
But what exactly is data science anyway? Simply put, we at DataKind think of data science as the art of wrangling data to provide actionable information, predict our future behavior, uncover patterns to help us prioritize, or otherwise draw meaning from vast data resources. While there’s still debate about defining this profession, we think of a data scientist as both a statistician and a computer scientist. This combination of skills puts data scientists in a sweet spot of knowing not only how to obtain and transform the necessary data for an organization, but also how to understand what the numbers are–and are not–saying.
Our project with GlobalGiving started at our October DataDive with an initial analysis of data from their past projects to determine what factors lead to projects being successfully funded. DataKind volunteers found interesting trends, such as the fact that more specificity within a project description tended to lead to more donations.
Our DataKind team is now in the stage of using these findings to optimize GlobalGiving’s search ranking algorithm. By the end of the project, GlobalGiving will have a better understanding of which factors motivate donors to give, which will in turn be used to help organizations fundraise more effectively.
Stay tuned for more updates on this project over the coming weeks. If you’ll be at NTEN’s Nonprofit Technology Conference in March, Will Frechette from GlobalGiving will be speaking on a panel that our Programs Strategist, Shubha Bala, is hosting on how nonprofits can use data science to advance their work. We’d love to see you there (and maybe even do a cartwheel or two with you down the hall).