Data Science for Public Policy: Of the people, for the people, by the people 2.0 ?

Conference · Wed Jan 01 00:00:00 EST 2014

OSTI ID:1156759

Sukumar, Sreenivas R. ^[1]; Shankar, Mallikarjun ^[1]

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1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

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.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Laboratory Directed Research and Development (LDRD) Program
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1156759
• Resource Relation: Conference: ACM SIG Knowledge Discovery and Data Mining : Workshop on Data Science for Social Good,20140824, 20140827, New York City, NY, NY, USA,
• Country of Publication: United States
• Language: English

Related Subjects

semantic reasoning