Government professionals are often left behind technology trends and the move towards data-driven culture is no different. I will convene a Government Data Technology Day on Monday February 10, 2020 to bridge that gap.
Attendees will have an opportunity to improve their data literacy related to evidence-based policy, data-driven analysis, artificial intelligence, algorithms, or data science. The target audience is anyone with experience making, managing, or implementing public policy. This program is part of the education and outreach portion of my NSF CAREER grant on open government data.
This two-part event is a reflection on the practical and philosophical aspects of implementing public policy within a data-driven culture. The morning panel “Technological Due Process : Revisited” is a conversation with leading legal scholars on the implications of automated decisions in government. The afternoon workshop “Data Literacy in the Public Sector” is an interactive workshop for government professionals.
Panel: Technological Due Process – Revisited
For the past twelve years, the law review essay “Technological Due Process” has served as the intellectual foundation for the legal implications of government automation. In 2008 Danielle Keats Citron, of Boston University, questioned how to maintain procedural protections in computerized systems. Predictive analytics, behavioral economics, and evidence-based policy dominate our interactions with the public sector today. Where are we now and what does the future hold? Professor Citron and I join top legal scholars Deirdre K. Mulligan from University of California Berkeley and Karen Yeung from University of Birmingham. Together the panel will consider the implications of automating the law and automating regulation from US and global perspectives. (Registration Required).
Workshop: Data Literacy in the Public Sector
The goal of the workshop is to support experienced government employees, of all levels, who can make valuable contributions to improving data technology. No technical training is assumed nor does this workshop have any pre-requisites. The workshop is designed for those planning to integrate data analysis into their daily work and want an introduction to core concepts and concerns. Attendees will enjoy confidential small group discussions as well as informal conversations with experienced practitioners. No media please. (Registration Required).
Attendees are welcome to attend both parts of the day, however, we require separate registrations for each event. Space is limited.