Undertaking Capacity Needs Assessment (CNA) is critical for organizing appropriate capacity development interventions. AESA organised four workshops on CNA of EAS in India, Sri Lanka, Bangladesh and Nepal with the following objectives.
1. Identify capacity gaps among EAS providers
2. Finalise a methodology for undertaking capacity needs assessment.
Canvas of Change brings you stories from Phase 3 of the Katalyst and presents the positive impact that this project is achieving.
Peri-urban areas, at the interface between urban and rural, link rural livelihoods with the urban lifestyles that put multiple pressures on peri-urban ecosystems. This poses huge challenges for the health and livelihoods of an increasing number of disenfranchised, poor and marginalised citizens, and for sustainable urban development.
The Feed the Future Asia Innovative Farmers Activity (AIFA) is a regional project working to facilitate the scaling of critical agricultural technologies through regional partnership and technology transfer. The project works with a range of agricultural technology stakeholders on a regional basis (private sector, research institutions, governments, networks, etc.) to increase food security, reduce poverty, and improve environmental sustainability by facilitating agricultural innovation and technology diffusion in the Asia region.
The creation of Competitive Research Grants (CRGs) is globally recognized as an institutional innovation for improving the effectiveness of agricultural research. Unlike block grants for research, CRGs are expected to bring in many top-quality proposals from a wide range of actors, selecting the best out of them and thus getting more value for money.
This research note explains the results of social experiment designed with three primary objectives. These include (1) to mitigate the digital divide concerning the accessibility of forecasted weather information and crop advisories for women farmers in Bangladesh and (2) to assess the potential impact of a digital climate advisory tool on the agricultural practices of climate-smart agriculture facilitated by digital advisory tools for stakeholders in the value chain, such as microfinance institutions offering crop loans in areas facing higher weather-related risks.
In comparison with the other EU (27) countries Innovation capacity indicators in Latvia remain low and considerably underperform. Problems and solutions are illustrated to represent innovation capacity in Latvia. The article consists of the following parts: first - theoretical aspects are selected to describe the essential definition of the analyzed subject. In the second part, experience from abroad is described, at the end – Latvian innovation policy and situation is analyzed and suggestions for further needs are formulated.
Innovation in Vidzeme Planning Region is realized in the frame of National innovation system, the elements of which correspond to innovation and innovation system theories, and the best practices of which are applied in the most innovative countries of the world. Nevertheless, innovation in Vidzeme Planning Region is fragmented and is being introduced slowly, and its impact on economic development is faintly visible. It witnesses a problem, which was identified, analysed and its solutions searched by the authors.
This report elaborates on how to use the agricultural knowledge and innovation systems framework to promote innovation at different levels with special focus on European issues related to the implementation of Horizon 2020. It is of value as a conceptual and methodological reference regarding the Agricultural Knowledge and Innovation Systems (AKIS).
This synthesis report presents the outputs of the workshop organised by CTA at its headquarters in Wageningen, The Netherlands, 15-17 July 2008. The outputs are presented in two main parts, each corresponding to one of the workshop objectives, and ends with a section on the way forward as suggested by the workshop participants. It also includes a first attempt to come to a consolidated generic framework on AIS performance indicators, based on the outputs of the different working groups.