This brief discusses the emergence of Asia as a hotpot of innovation and the implications for Australia's own innovation capacity

This paper details the analytical framework used for developing a nested understanding of systemic innovation capacity in an AIS. The paper then introduces the two case studies, along with the data and methods of analysis, followed by a presentation of the results as timelines of configurations of capabilities at different levels of the AIS.

This paper describes a process for stimulating this engagement to develop a shared understanding of systemic problems, challenge prevalent institutional logics, and identify individual and collective actions that change agents might undertake to stimulate system innovation. To achieve this the process included (i) multiple actors from the agricultural innovation systems, (ii) steps to prompt reflexivity to challenge underlying institutional logics, (iii) an iterative process of practical experimentation to challenge current practices, and (iv) actions to encourage generative collaboration.

Research and analysis of agricultural innovation processes and policies over the last 20 years has made a major contribution to scholarship on and the understanding of the nature of innovation. To an important, but much lesser degree this has also led to re-framing practice at the research-innovation interface. Innovation studies (for want of a better word), like many branches of science, finds that it needs to deliver solutions across the full spectrum of discovery (concepts and theories) to application in both policy and practice domains.

The paper describes an attempt to improve the uptake of a new agricultural Decision Support System (aDSS). The approach was to design it with an understanding of the successes and failures of predecessors and of the changes in patterns of relevant technology use over time, the “usage context”. Even though its predecessor, IrriSatSMS, showed great potential in pilot seasons, that system failed to be commercialised successfully.

African agriculture is currently at a crossroads, at which persistent food shortages are compounded by threats from climate change. But, as this book argues, Africa can feed itself in a generation and help contribute to global food security. To achieve this Africa has to define agriculture as a force in economic growth by: advancing scientific and technological research; investing in infrastructure; fostering higher technical training; and creating regional markets.

The Australian story of farmer innovation in Conservation Agriculture reveals a complex interplay of policy, economics, science, and farming. Farmer experimentation with Conservation Agriculture began in the 1960's and has continued to this day where around 80%-90% of Australia's 23.5 million hectares of winter crops are now grown using Conservation Agriculture principles. This remarkable achievement is the result of both sustained investment in agricultural research and development and farmer innovation.

This chapter outlines the role of a well-functioning agricultural innovation system in ensuring good use of public funds, and higher responsiveness to the needs of ‘innovation consumers’ through improved collaboration between public and private participants, including across national borders. A well-functioning agricultural innovation system is key to improving the economic, environmental and social performance of the food and agriculture sector.

The policy implications of cumulative innovation are essential to consider in order to mitigate risk and capitalise on opportunities as digitalisation transforms agriculture. One project that involves imagining the future of the sector and aims to develop the necessary tools and infrastructure is the Australian Commonwealth Scientific and Industrial Research Organisation (CSIRO) Digiscape Future Science Platform (FSP). This paper explores the policy framework encompassing these tools and elucidates considerations for future governance in Australia.

This study identifies systemic problems in the New Zealand Agricultural Innovation System (AIS) that affect the ability of participants in the agricultural sectors to co-develop technologies. We integrate structural and functional streams of innovation system enquiry, gathering data through 30 semi-structured interviews with individuals in Government, industry and research. Interviews explored perceptions of the influence of actors, interactions, institutions, infrastructure, and market structure on the effectiveness of AIS functions.