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Social connections for successful restoration interventions

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Presented by Moira Moeliono, CIFOR Senior Associate, at Webinar "A Synthesis and Way Forward", 17 December 2020.

In this session, the speaker explained how social connection plays an important role in interventions for peatland restoration. Speaker also explained that social network analysis can be useful as a part of the peatland restoration monitoring tool to understand how information flows and how the decision-making process in the community take place.

Publicado en: Medio ambiente
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Social connections for successful restoration interventions

  1. 1. Social connections for successful restoration interventions (Session 2c) Moira Moeliono, Indah Waty and Bimo Dwisatrio
  2. 2. Social connections • Even seemingly remote rural households and communities are embedded in multiple social networks that link people, institutions and places. • Rural communities and related governance systems are highly diverse: formal and informal elements – dominance and relevance – conflict and cooperation
  3. 3. Rural communities are not static- new developments- conflict- cooperation new opportunities Source: Euromontana, 2019
  4. 4. In this context peatland restoration need to include education and information dissemination: • Only depending or focussing on formal institutions might result in marginalization within communities • Only depending or focussing on informal institutions risk losing the support of the village leaders/elite • To convey information and promote equal access to participation, both informal and formal channels of communication need to be considered Focus on • Measuring progress • Identifying errors • Adjusting program
  5. 5. From the perspective on social connections and applying SNA Different networks: Information exchange networks Labor networks Criteria: Connectivity Indicators • Density :Number of ties, expressed as proportion of the number of ordered/unordered pairs. When density is close to 1.0, the network is said to be dense, otherwise it is sparse. • Degree Centrality :Number of ties a node has to other nodes. A node is central when it has a higher number of ties adjacent to it; A high degree means a well-connected individual or community; a low degree could lead to exclusion and marginalization from the wider network.) • Betweenness : Number of times a specific node is part of a shortest path between all other pairs of nodes; A node is central the more times it occurs.) • Closeness: Reciprocal measure of the geodesic distance (the shortest path connecting two nodes) of a node to all other nodes in the network. A node is “close” if it is located a short distance away from many other nodes (i.e., physically proximate). The greater the distance to other nodes, the less chance of receiving information and/or resources in a timely way

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