This poster analyzes the status, challenges and opportunities of the Kyeni local innovation platform that was put up to sustainably evaluate, disseminate and hasten adoption of CA technologies involving maize/ legume cropping systems in eastern Kenya. Establishment and maintenance of IPs is one of the action oriented research approaches for technology transfer in the ACIAR funded Sustainable Intensification of Maize-Legume Cropping Systems for Food Security in Eastern and Southern Africa (SIMLESA) project such as Kyeni Local Innovation Platform.
There has been an increasing interest in science, technology and innovation policy studies in the topic of policy mixes. While earlier studies conceptualised policy mixes mainly in terms of combinations of instruments to support innovation, more recent literature extends the focus to how policy mixes can foster sustainability transitions.
Science, technology and innovation (STI) policy is shaped by persistent framings that arise from historical context. Two established frames are identified as co-existing and dominant in contemporary innovation policy discussions. The first frame is identified as beginning with a Post-World War II institutionalisation of government support for science and R&D with the presumption that this would contribute to growth and address market failure in private provision of new knowledge.
Rather than merely supporting R&D and strengthening innovation systems, the focus of innovation policy is currently shifting towards addressing societal challenges by transforming socio-economic systems. A particular trend within the emerging era of transformative innovation policy is the pursuit of challenge-based innovation missions, such as achieving a 50 % circular economy by 2030. By formulating clear and ambitious societal goals, policy makers are aiming to steer the directionality and adoption of innovation.
So far, numerous studies have exhibited Silicon Valley and other thriving innovation ecosystems by distinguishing special characteristics in which their survival rely on sustaining activities that convert them to specific regions. These regions provide ready-made grounds for networking to be innovative. Meantime, it is struggling for innovations to be transformed into measurable economic results if players encounter a weak network of collaborative relationships in the ecosystem.
An analysis of the impact of simulation modelling in three diverse crop-livestock improvement projects in Agricultural Research for Development (AR4D) reveals benefits across a range of aspects including identification of objectives, design and implementation of experimental programs, effectiveness of participatory research with smallholder farmers, implementation of system change and scaling-out of results. In planning change, farmers must consider complex interactions within both biophysical and socioeconomic aspects of their crop and animal production activities.
Individuals from a diverse range of backgrounds are increasingly engaging in research and development in the field of artificial intelligence (AI). The main activities, although still nascent, are coalescing around three core activities: innovation, policy, and capacity building. Within agriculture, which is the focus of this paper, AI is working with converging technologies, particularly data optimization, to add value along the entire agricultural value chain, including procurement, farm automation, and market access.
This facilitation guide was developed to support the training of scientists who are members of the CCAFS Working Group on impact pathways and M&E for results-based management. The group attended a highly participatory introductory training from 1-5th April 2014 in Segovia, Spain. The objectives of the workshop were: 1. To introduce working group members to outcome thinking; 2. To present elements of the CCAFS theory of change (TOC), impact pathway (IP) and monitoring and evaluation (M&E) framework; 3.
Innovation systems and science and technology (S&T) projects supported by the World Bank have taken on many forms in the past several years. The Bank's involvement in industrial technology projects started in the 1970s, with Israel and Spain numbering among the first countries to receive support in the form of industrial technology development. This paper reviews the lessons learned in S&T projects that have been supported by the Bank, with an emphasis on the examples of the past decade (1989-2003).
This report compiles country-reports that describe the agri-food research landscape in 2006/2007 in 33 countries associated to the 6th Framework Programme (FP6), which defined the European for the period from 2002 to 2006. Each country-report presents information about the main research players in 2006/2007 and about the current trends and the future needs for research topics and for the organisation of the agri-food research system.