A web analytics approach to map the influence and reach of CCAFS: Latin America Focus
| cg.contributor.affiliation | CGIAR Research Program on Climate Change, Agriculture and Food Security | en |
| cg.contributor.affiliation | Bioversity International and the International Center for Tropical Agriculture | en |
| cg.contributor.affiliation | University of Coimbra | en |
| cg.contributor.affiliation | University of Molise | en |
| cg.contributor.crp | Climate Change, Agriculture and Food Security | |
| cg.coverage.region | Americas | |
| cg.creator.identifier | Bia Carneiro: 0000-0002-7957-8694 | en |
| cg.creator.identifier | Giuliano Resce: 0000-0002-3913-0510 | en |
| cg.creator.identifier | Itzel Inti Maria Donati: 0000-0002-2936-7434 | en |
| cg.creator.identifier | Grazia Pacillo: 0000-0002-1012-3464 | en |
| cg.creator.identifier | Andrea Estefanía Castellanos Quintero: 0000-0002-2701-3632 | en |
| cg.creator.identifier | Martínez-Barón, D.: 0000-0003-2317-8760 | en |
| cg.number | 409 | en |
| cg.place | Wageningen, The Netherlands | en |
| cg.subject.ccafs | PRIORITIES AND POLICIES FOR CSA | en |
| cg.subject.ciat | CLIMATE CHANGE ADAPTATION | en |
| cg.subject.ciat | CLIMATE CHANGE MITIGATION | en |
| cg.subject.impactArea | Climate adaptation and mitigation | |
| cg.subject.sdg | SDG 13 - Climate action | en |
| dc.contributor.author | Carneiro, Bia | en |
| dc.contributor.author | Resce, Giuliano | en |
| dc.contributor.author | Ruscica, Giosuè | en |
| dc.contributor.author | Donati, Itzel | en |
| dc.contributor.author | Pacillo, Grazia | en |
| dc.contributor.author | Castellanos, Andrea | en |
| dc.contributor.author | Martínez Barón, Deissy | en |
| dc.date.accessioned | 2021-12-16T15:12:39Z | en |
| dc.date.available | 2021-12-16T15:12:39Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/116801 | |
| dc.title | A web analytics approach to map the influence and reach of CCAFS: Latin America Focus | en |
| dcterms.abstract | 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). | en |
| dcterms.accessRights | Open Access | |
| dcterms.audience | Academics | en |
| dcterms.audience | CGIAR | en |
| dcterms.audience | NGOs | en |
| dcterms.audience | Policy Makers | en |
| dcterms.bibliographicCitation | Carneiro B, Resce G, Ruscia G, Donati I, Pacillo G, Castellanos A, Martínez-Barón D. 2021. A web analytics approach to map the influence and reach of CCAFS: Latin America Focus. CCAFS Working Paper No.409. Wageningen, Países Bajos: Programa de investigación del CGIAR sobre cambio climático, agricultura y seguridad alimentaria (CCAFS). | en |
| dcterms.extent | 44 p. | en |
| dcterms.isPartOf | Working Paper | en |
| dcterms.issued | 2021-12-16 | en |
| dcterms.language | en | |
| dcterms.license | CC-BY-NC-4.0 | |
| dcterms.publisher | CGIAR Research Program on Climate Change, Agriculture and Food Security | en |
| dcterms.subject | data analytics | en |
| dcterms.subject | agriculture | en |
| dcterms.subject | food security | en |
| dcterms.subject | climate change | en |
| dcterms.type | Working Paper |