Pre-Conference Workshop: Deploying Machine Learning Tools for Public Policy Impact
Join us the day before the Fall Research Conference kicks off for this year's pre-conference workshop: Deploying Machine Learning Tools for Public Policy Imapct. Attendees can register for the workshop during the full conference registration process, opening on July 15th. Registration for the workshop will be $55 for APPAM members and $65 for non-members.
The growing availability of government administrative records (‘big data’) combined with new tools from the computer science field of machine learning create important new possibilities for substantial impact across a broad range of policy problems. These new machine learning tools share some similarities with the usual policy analysis tool-kit (regression, matching, etc.), but do have some important differences in their goals and methods. They also make it possible to draw on new sources of data that policy analysts historically have not even recognized as data, such as written text, audio clips, or video images.
At the same time, re-deploying these machine learning tools to policy problems raises new challenges that are quite different from those associated with canonical computer science applications, which create important opportunities for the field of policy analysis to add value. These include: challenges in evaluating the social impact of algorithms in the presence of outcome data that is non-randomly missing, as the result of the decisions of humans in the existing policy system; potential mis-alignment between what is being predicted and the objectives that policymakers are trying to optimize; and the possibility of algorithmic bias, and how that compares to human bias.
See more of: Special Events