Over the past couple of years, it feels like civil society has been almost overwhelmed with promises of how technology can suddenly magically solve the problems that we’re trying to address. Some coming from tech giants who say they’ve developed some semblance of social conscience suddenly. Some from startups who see a problem and think that technology can help without thinking about the systemic issues underlying it.
I’m particularly concerned with how to design from the dystopian position of the Anthropocene. How to make creative work that is simultaneously critical and generative. What does it mean to have augmented the atmosphere and the ocean’s capacity to absorb heat? And to be rapidly increasing the entropy of those systems?
During this year that I have been off I’ve been thinking about how to teach both people who are trained in technical parts of data science, and also policymakers, how we could have a common language. And then that way we could have these conversations so we could talk together.
My fellowship project is to understand the development and implementation of predictive models for decision-making in city and state government. So specifically I’m interested in applying and developing statistical and computational methods to improve decision-making in police departments, in the courts, and in child welfare agencies.