A reading group to explore current work in the field of data science for social good. The readings should serve to inform, educate, and to provoke discussion. Below are a few general questions to facilitate provocation.

What is social good and who decides?

How can different projects be compared? What are the metrics for evaluating projects of social good? Who should be involved in determining them? When do quantitative metrics fail?

What is the cutting-edge in applied data science? Who is pushing the frontier? What are the biggest weaknesses and how can they be evaluated?

How can the results of work done in different fields be successfully integrated? Who needs to learn what from whom?