64 research outputs found

    Report of the virtual RTB ISC Annual Meeting 2021. The Grand Finale. July 7-9, 2021

    Get PDF
    OBJECTIVES • Progress by flagships shared with Independent Steering Committee (ISC) and RTB community • Reflection of RTB achievements and challenges • Contribute to the transition to One CGIAR with collective knowledge assets • Consolidate lessons learnt for implementation of new initiative

    RTB Innovation Catalog - Method and Work Plan

    Get PDF
    This document describes the method for building RTB’s Innovation Catalog. We start by defining the objectives of this research, the problems and the challenges we are addressing. Most CGIAR innovations are documented in a way that does not favor their wider use. This has limited the contribution of CGIAR innovations to the developmental challenges that CGIAR investors demand. The goal of this research is to contribute to the CGIAR innovation management system that will enable the deployment of innovations faster, at a larger scale, and a reduced cost, having a more significant impact where they are needed the most. The purpose of the Innovation Catalog is to document RTB innovations, in a way that is easily accessible, and understandable. The Catalog will be user-friendly (see definition in Section 6.2). Technical terms, indicators, and categories will be standardized. The type of language and depth of information will be tailored to different types of users. The RTB Innovation Catalog will be developed using a tailor-made Scaling Readiness framework. Individual RTB innovations are the building blocks of the Innovation Catalog. Contextual information and connection to innovation packages will be documented for a few of the innovations

    The Interplay of Perceived Risks and Benefits in Deciding to Become Vaccinated against COVID-19 While Pregnant or Breastfeeding: A Cross-Sectional Study in Italy

    Get PDF
    The present study examined the role of the perception of risks and benefits for the mother and her babies in deciding about the COVID-19 vaccination. In this cross-sectional study, five hypotheses were tested using data from a convenience sample of Italian pregnant and/or breastfeeding women (N = 1104, July–September 2021). A logistic regression model estimated the influence of the predictors on the reported behavior, and a beta regression model was used to evaluate which factors influenced the willingness to become vaccinated among unvaccinated women. The COVID-19 vaccination overall risks/benefits tradeoff was highly predictive of both behavior and intention. Ceteris paribus, an increase in the perception of risks for the baby weighed more against vaccination than a similar increase in the perception of risks for the mother. Additionally, pregnant women resulted in being less likely (or willing) to be vaccinated in their status than breastfeeding women, but they were equally accepting of vaccination if they were not pregnant. COVID-19 risk perception predicted intention to become vaccinated, but not behavior. In conclusion, the overall risks/benefits tradeoff is key in predicting vaccination behavior and intention, but the concerns for the baby weigh more than those for the mother in the decision, shedding light on this previously neglected aspect

    A Review of Digital Data Resources on Innovation and Impact

    Get PDF
    The CGIAR Research Program on Roots, Tubers, and Bananas (RTB) has commissioned a study to develop an innovation catalog to present its innovation portfolio to the international scientific and development community and to support ongoing efforts to establish an innovation management architecture in CGIAR. The study team has been tasked with designing an application model that can inform the innovation and impact management architecture of CGIAR and test it within the RTB innovation portfolio leading to an RTB Innovation Catalog that can be used as an example for future work. Guided by the recently finalized work methodology, the interdisciplinary research and technical team members have reviewed existing digital resources, i.e. web portals and databases that present the social innovations across multiple sectors such as agriculture, food, environment, health, and energy to the international research-for-development and impact investment communities. This document describes the methods and the findings of this review. It shows the profiles, features, and data provided by the digital resources; compares and contrasts them by assessing their relevance, effectiveness, efficiency, functionality, and formats. It shows that, although there are a few features that most existing digital resourcesshare, i.e. being hosted by international organizations, having easy to-navigate interfaces, and providing limited filtering and search options, there are significant differences between them. The digital resources focus on different subsets of innovation-related information and provide different levels of granularity. The review concludes that to present its innovations across the broad spectrum of digital resources, the RTB Program and CGIAR need to use rich metadata sets with a few different interface and export options to be customized based on the profile of individual, essential digital resources of interest

    RTB: Close out planning and Innovation catalog

    Get PDF

    Data on how tree planting and management practices influence tree seedling survival in Kenya and Ethiopia

    Get PDF
    Understanding which trees farmers prefer, what determines their survival and enhancing farmer knowledge of tree management is key to increasing tree cover in agricultural landscapes. This article presents data on tree seedling survival under different tree planting and management practices in Kenya and Ethiopia. Data were collected from 1600 households across three Counties in Kenya and 173 households across four Woredas in Ethiopia, using a structured questionnaire which was administered through the Open Data Kit. Data on seedling survival were collected at least six months after tree seedlings were planted. To understand how planting and management practices influence tree planting across the different socioeconomic and biophysical contexts, both household level and individual tree level data were collected. Household level data included socio-economic and biophysical characteristics of the households while tree specific data included when the tree seedling was planted, where it was planted, the management practices employed and whether surviving. The datasets described in this article help understand which options confer the best chance survival for the planted seedlings and in which socio-economic and biophysical contexts they are most successful. [Abstract copyright: © 2021 The Author(s). Published by Elsevier Inc.

    Increasing interoperability between food and agricultural systems: CGIAR and FAO collaboration

    Get PDF
    It is crucial that data resources can talk to each other through thesaurus, ontologies and standards. Therfore, the integration of CGIAR controlled vocabularynto the AGROVOC thesaurus is key to interlink our data sets and publications in the food and agricultural domain and produce multilingual quality labeling. The Task Group and a curation team defined the added value for the CGIAR to formally contribute to AGROVOC, and how to organize CGIAR contribution in a coherent workflow. The recommendations are the following: 1. One CGIAR needs to strengthen its contribution to AGROVOC thus supporting the consolidation of the semantic landscape for labeling data in agriculture and food systems. 2.CGIAR centers should wait a bit till the affiliation process is complete so that the appropriate unit that will be responsible for AGROVOC can consume the Agreement since the timeline for the affiliation process is just some few months away. 3.OneCGIAR data managers will have to sustain the collaboration and submit terms to populate the ONECGIAR concepts schema newly created to provide direct visibility of the set of concepts (https://agrovoc.fao.org/skosmosOneCGIAR/cgiar/en/ ). Based on the collaboration concrete results, The TG recommends that the term submission effort and collaboration with FAO continues with proper allocation of data managers’ time and a training plan. Contribution to AGROVOC should be part of the data managers ToRs to concrete provide recognition of this role
    • …
    corecore