Publication Type
Conference Paper
Publication Date
Conference Name
ACM SIG Knowledge Discovery and Data Mining : Workshop on Data Science for Social Good
Conference Location
New York City, New York, United States of America
Conference Sponsor
ACM
Conference Date
-
Abstract
In this paper, we explore the role of data science in the public policy lifecycle. We posit policy documents (bills, acts, regulations and directives) as forms of social objects and present a methodology to understand interactions between prior context in professional and personal social networks to a given public policy document release. We employ natural language processing tools along with recent advances in semantic reasoning to formulate document-level proximity metrics which we use to predict the relevance (and impact) of the policy artifacts. These metrics serve as a measure of “excitation” between people and the public policy initiatives.
