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Enhancing Collaborative Policy through Boundary-Spanning Networks

Explore the impact of boundary-spanning networks in collaborative policy settings, leveraging the National Estuary Program as a case study. Discover network measurement implications, denser cliques, and boundary-spanning clans in relation to attitudes and cooperation.

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Enhancing Collaborative Policy through Boundary-Spanning Networks

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  1. Networks and Collaborative Policy

  2. Collaborative Policy • Designed to solve collective action problems and resolve conflict • Should create three types of boundary spanning-networks: • Vertical: Spanning levels of fed system • Horizontal: Spanning local jurisdictions • Expertise: Spanning science and policy • Ideological: Spanning interests

  3. The National Estuary Program • Collaborative planning framework based on Chesapeake Bay • 28 “Estuaries of National Significance” across the country • “Management Conference” is the forum for decision-making, where networks are built

  4. Research Design • 12 NEP, 10 Non-NEP estuaries for quasi-experimental design • 752 NEP survey respondents, 312 Non-NEP • Network measurement: Ask them to mention up to three people/orgs they rely on most heavily • Note network measurement implications

  5. NEP Netorks: Denser with More Cliques 2-clan: subset of actors where every pair is connected directly or through one intermediary Can have overlapping membership

  6. Boundary Spanning Clans are unit of analysis in the regression

  7. NEP and Attitudes Dyadic units Individual units

  8. What is next for network analysis of collaboration? • Structural holes—Burt’s measures of constraint • Centrality: Measures of powers. Is Eigenvalue centrality the way to go? • Can we identify signatures of cooperation?

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