STRATEGY FOR A NATIONAL COMMUNITY LEARNING NETWORK: COMMUNITY LEARNING DATA DRIVEN DISCOVERY - Building Capacity for Evidence-Based Decision Making

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dc.contributor.authorKeller, Sallie A.en
dc.date.accessioned2017-05-21T08:36:58Zen
dc.date.available2017-05-21T08:36:58Zen
dc.date.issued2016-12-19en
dc.description.abstractThe Social and Decision Analytics Laboratory (SDAL) of the Biocomplexity Institute of Virginia Tech received a planning grant from the Laura and John Arnold Foundation (LJAF) to develop a strategy for a national community learning network. Through the development of this strategy Virginia Tech formed a partnership with Iowa State University, placing Virginia and Iowa at the center of initiating a national movement that would empower local governments to embrace data-driven governance. The first steps of this national strategy involve massive deployment of community learning across Virginia and Iowa, using these states as exemplars for igniting a full national movement. Based on the research completed in this grant, Virginia Tech and Iowa State University are developing a proposal with LJAF to realize the first steps of this national strategy - a Land Grant Partnership for Data-Driven Governance.en
dc.description.notesThis vision was developed with substantial input and advice from colleagues at our principal partner institution, Iowa State University. This includes: Sarah Nusser, Vice President for Research and Professor of Statistics; Erin Mullenix, Director of Data Driven Science, Iowa State University; Chadwick Higgins, Senior Director, Iowa State University Extension and Outreach; and Wolfgang Kliemann, Associate Vice President for Research. We also thank James Schwartz, Deputy County Manager, Arlington County, VA for his vision and role in working with us to develop this vision. We acknowledge the hard work and dedication of the 2016 Data Science for the Social Good Fellows: Undergraduate students Mark Almanza, Virginia Tech; Madison Arnsbarger, Virginia Tech; Jessica Flynn, Cornell University; Adrienne Rogers, Virginia Tech; Will Sandholtz, University of California Berkeley; Emily Stark, Austin Peay State University; and Iowa State University Graduate Students Millicent Grant and Samantha Tyner.en
dc.description.notesfalse (Extension publication?)en
dc.format.extent? - ? (57) page(s)en
dc.identifier.urihttp://hdl.handle.net/10919/77696en
dc.relation.ispartofSTRATEGY FOR A NATIONAL COMMUNITY LEARNING NETWORK: COMMUNITY LEARNING DATA DRIVEN DISCOVERY - Building Capacity for Evidence-Based Decision Makingen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectStatistical Learningen
dc.subjectGeospatial Learningen
dc.subjectCooperative Extension Serviceen
dc.subjectLand Grant Universitiesen
dc.titleSTRATEGY FOR A NATIONAL COMMUNITY LEARNING NETWORK: COMMUNITY LEARNING DATA DRIVEN DISCOVERY - Building Capacity for Evidence-Based Decision Makingen
dc.typeReporten
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/University Research Institutesen
pubs.organisational-group/Virginia Tech/University Research Institutes/Biocomplexity Instituteen
pubs.organisational-group/Virginia Tech/University Research Institutes/Biocomplexity Institute/Researchersen
pubs.organisational-group/Virginia Tech/University Research Institutes/Biocomplexity Institute/SelectedFaculty1en

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