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A web analytics approach to map the influence and reach of CCAFS: Latin America Focus [Pub: 16-12-2021]
| Content Provider | Consultative Group on International Agricultural Research (CGIAR) |
|---|---|
| Author | Carneiro, Bia Resce, Giuliano Ruscica, Giosuè Donati, Itzel Pacillo, Grazia Castellanos, Andrea Martínez Barón, Deissy |
| Description | Based on a Digital Methods framework developed to map the policy influence of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) globally (Carneiro et al 2020), this study adapted the approach to focus on the Latin America regional program (LAM). The influence of CCAFS in LAM was explored through data analytics, with the application of machine learning techniques primarily focused on text mining, network analysis and hyperlink analysis of web-based sources. The foundation of this research is to assess the process of knowledge dissemination and influence of CCAFS activity to stakeholders and local beneficiaries, by considering online networks and narratives as evidence of “offline” program influence. It found that CCAFS plays a key role in raising awareness, building capacity, and supporting policy development around Climate-Smart Agriculture (CSA). |
| Related Links | https://cgspace.cgiar.org/items/6749460b-ba3d-43ec-811d-a10813f3983d |
| File Format | |
| Language | English |
| Publisher | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| Publisher Place | Wageningen, The Netherlands |
| Access Restriction | Open |
| Rights License | CC-BY-NC-4.0 |
| Subject Keyword | Climate Change, Agriculture and Food Security Data Analytics Agriculture Food Security Climate Change Priorities AND Policies FOR Csa Climate Change Adaptation Climate Change Mitigation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Agronomy and Crop Science Food Science Plant Science |
