Day 2: Wednesday, November 14, 2018

Event Title

D1: Uses of Administrative Data for Supporting Public Programs and Public Health Policy

Location

Room: Grand III/IV

Start Date

14-11-2018 9:00 AM

End Date

14-11-2018 10:20 AM

Description

Moderator: Kelly Bidwell

Presenters:

  • Stephanie Shipp: "Developing a Data-driven Approach to inform Planning in County Health and Human Services Departments in the Context of a Case Study on Obesity"
  • Jenny Povey: "The power of linked data: Evaluating diverse multi-program projects designed to reduce welfare dependence"
  • Alex Collie: "Evaluating the impact of workers' compensation policy in Australia using insurance claims data and comparative quasi-experimental methods"
  • Rachel Shattuck: "The Use of Blended Data to Improve Public Assistance Programs: Results from a Partnership between the U.S. Census Bureau, USDA, and State Program Agencies"
  • Kevin P. Conway: "Fusing Administrative Data to Combat the Opioid Crisis"

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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Nov 14th, 9:00 AM Nov 14th, 10:20 AM

D1: Uses of Administrative Data for Supporting Public Programs and Public Health Policy

Room: Grand III/IV

Moderator: Kelly Bidwell

Presenters:

  • Stephanie Shipp: "Developing a Data-driven Approach to inform Planning in County Health and Human Services Departments in the Context of a Case Study on Obesity"
  • Jenny Povey: "The power of linked data: Evaluating diverse multi-program projects designed to reduce welfare dependence"
  • Alex Collie: "Evaluating the impact of workers' compensation policy in Australia using insurance claims data and comparative quasi-experimental methods"
  • Rachel Shattuck: "The Use of Blended Data to Improve Public Assistance Programs: Results from a Partnership between the U.S. Census Bureau, USDA, and State Program Agencies"
  • Kevin P. Conway: "Fusing Administrative Data to Combat the Opioid Crisis"