Schedule: Policy & Privacy sessions

So much of the privacy discussion is about data access, fear of future dystopia, and the complexities of law. There is a vacuum around how societal norms should be mapped to rapidly growing capabilities of big data, leaving data professionals in a "don’t ask don't tell" privacy conundrum. This conversation will discuss specific use-cases and frameworks to guide data pros. Read more.

Making sense of the privacy issues around personal data is way too complicated. Pretty Simple Data Privacy builds on the idea that users need three options - Yes, No, Maybe - to control privacy settings on their personal data. We'll explore existing projects and codebases that implement legal and technical tools for all three of the settings. Read more.

In a research environment, under the current operating system, most data and figures collected or generated during your work is lost, intentionally tossed aside or classified as “junk”, or at worst trapped in silos or locked behind embargo periods. In the digital age, this does not need to be the case - and it's imperative we change that reality. Read more.

The “common good” challenge for Big Data is to deliver actionable information that can be used by nonprofits and civic orgs. But that challenge isn’t new. Existing data intermediaries for NGOs have a rich history of working in common-good territory. Let’s discuss. What is this history? What can we take away from it to inform new, perhaps disruptive, approaches to meet this challenge? Read more.