Full Citation
Title: Proposal 14: Smarter, Better, Faster: The Potential for Predictive Analytics and Rapid-Cycle Evaluation to Improve Program Development and Outcomes
Citation Type: Miscellaneous
Publication Year: 2014
ISBN:
ISSN:
DOI:
NSFID:
PMCID:
PMID:
Abstract: Public administrators have always been interested in identifying cost-effective strategies for managing their programs. As government agencies invest in data warehouses and business intelligence capabilities, it becomes feasible to employ analytic techniques used more-commonly in the private sector. Predictive analytics and rapid-cycle evaluation are analytical approaches that are used to do more than describe the current status of programs: in both the public and private sectors, these approaches provide decision makers with guidance on what to do next. Predictive analytics refers to a broad range of methods used to anticipate an outcome. For many types of government programs, predictive analytics can be used to anticipate how individuals will respond to interventions, including new services, targeted prompts to participants, and even automated actions by transactional systems. With information from predictive analytics, administrators can identify who is likely to benefit from an intervention and find . . .
User Submitted?: No
Authors: Cody, Scott; Asher, Andrew
Publisher: The Hamilton Project
Data Collections: IPUMS USA
Topics: Other
Countries: