Welcome to the very long overdue recap of the A2 Datadive that I helped host from February 10th - 12th. We had 78 people attend our event that weekend and a lot of amazing work was done for the two non-profits that kindly shared their data with us.
To refresh your memory, a datadive is an opportunity for local non-profits with data they aren't sure what to do with to meet up with data scientists who are willing to provide assistance. The concept was developed by Jake Porway at Data Without Borders, who lamented the fact that non-profits didn't always have the resources to take full advantage of the data they were collecting. Datadives are intended to give these organizations access to folks with the skills to get them started on taking their data to the next level.
This year we had two non-profit participants: Focus: HOPE, a group that is working to improve the quality of life their neighborhood in Detroit and the African Health OER Network (AHON), which is collaboration between medical colleges in the United States and Africa that is providing open educational resources to under-resourced medical colleges in Africa. Each group came with their own set of unique data problems and questions. Focus: HOPE was interested in learning more about the community that they serve (which areas of their neighborhood are taking advantage of their programs? what are the demographics of their community like? can we identify under represented populations in our target area?). AHON wanted to know about the resources they distributed (who was taking advantage of them? which resources or mediums were most used?) and the network that provided those resources (who in the network contributed the most content? could we identify influential members in the network? could we identify members that were not as engaged as other members?)
The plan for the weekend was simple. On Friday evening, the non-profits we had recruited presented their data and questions to the group and there was time for all the participants to socialize before the big work day. Work on Saturday started early, with the data scientist participants digging through the data and coming up with methods to begin answering some of the non-profits' questions. Sunday was reserved for wrapping up the work that was done, documenting the process, and reporting to the non-profits on what we uncovered. Simple, right?
Having fun working with data
Thanks again for all your help guys!
The Dream Team: Nikki Roda, Emily Puckett Rodgers, and Claire Barco
Our big brother organization, Data Without Borders, has shown us so much support and been so encouraging during this whole process that I have no doubts we'll be able to muster up enough energy to hold this event again next year.

