Building Capacity for Data-Driven Governance: Creating a New Foundation for Democracy.

Existing data flows at the local level, public and administrative records, geospatial data, social media, and surveys are ubiquitous in our everyday life. The Community Learning Data-Driven Discovery (CLD3) process liberates, integrates, and makes these data available to government leaders and resea...

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Publicado en:Statistics & Public Policy Vol. 4; no. 1; pp. 1 - 12
Autores principales: Keller, Sallie, Lancaster, Vicki, Shipp, Stephanie
Formato: Artículo
Publicado: Taylor & Francis Ltd 2017
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Building Capacity for Data-Driven Governance: Creating a New Foundation for Democracy.
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          Keller, Sallie
          Lancaster, Vicki
          Shipp, Stephanie
        affil: Social and Decision Analytics Laboratory (SDAL), Biocomplexity Institute of Virginia Tech, Arlington, VA
      su:
        United States
        Educational intervention
        Education policy
        Democracy
        Land grant institutions
        Statistical learning
        Data flow computing
        Geospatial data
        United States education system
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        subj:
          Educational intervention
          Education policy
          Democracy
          United States
          Administration of Education Programs
          Other provincial and territorial public administration
          Other local, municipal and regional public administration
          Land grant institutions
          Statistical learning
          Data flow computing
          Geospatial data
          United States education system
      keyword:
        Administrative data
        Evaluation
        Geospatial learning
        Vulnerable populations
        Administrative data
        Evaluation
        Geospatial learning
        Vulnerable populations
      ab: Existing data flows at the local level, public and administrative records, geospatial data, social media, and surveys are ubiquitous in our everyday life. The Community Learning Data-Driven Discovery (CLD3) process liberates, integrates, and makes these data available to government leaders and researchers to tell their community's story. These narratives can be used to build an equitable and sustainable social transformation within and across communities to address their most pressing needs. CLD3 is scalable to every city and county across the United States through an existing infrastructure maintained by collaboration between U.S. Public and Land Grant Universities and federal, state, and local governments. The CLD3 process starts with asking local leaders to identify questions they cannot answer and the potential data sources that may provide insights. The data sources are profiled, cleaned, transformed, linked, and translated into a narrative using statistical and geospatial learning along with the communities' collective knowledge. These insights are used to inform policy decisions and to develop, deploy, and evaluate intervention strategies based on scientifically based principles. CLD3 is a continuous, sustainable, and controlled feedback loop.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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