Harnessing Intelligence for Responsible Innovation and Scaling
Dates: | 6 November 2024 |
Times: | 14:00 - 15:30 |
What is it: | Seminar |
Organiser: | Centre for Development Informatics |
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Effective scaling of innovations is a prerequisite for achieving the transformative changes needed to meet the Sustainable Development Goals (SDGs), such as ensuring food security and combating poverty in the Sub-Saharan Africa (SSA) region. However, complex nature of the scaling process usually leads to vulnerable populations, (including women, the less privileged, rural poor and people with disability) often not benefitting from or being disproportionately affected by the unintended consequences of our scaling effort. To understand and deal with these complexities, comprehensive intelligence is a prerequisite to ensure our innovation and scaling strategies are responsible. Thus, scaling teams must be able to match innovations to social and agro-ecological context by building viable packages for socially differentiated stakeholders and anticipate unintended consequences while developing strategies to mitigate these. To this end, some approaches (tools, methods, process, concepts) have been developed to enhance intelligences provisioning for responsible innovation and scaling. With some of these tools employing the use of artificial intelligence in their functioning. These tools are believed to present new opportunities to augment intelligence needs for responsible innovation and scaling within the agricultural sectors, promising advancements in efficiency, accuracy, and accessibility.
Yet, there is a substantial gap between the optimistic discourse surrounding the transformational potential of intelligence and intelligence provisioning tools for responsible scaling and the research-evidenced impacts on scaling for vulnerable population in agriculture. This raises the question: What types of intelligence and intelligence tools are necessary to support responsible innovation and scaling in AR4D institutes and how do their sociotechnical interaction in a broader network influence their effectiveness and impact?
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Nile Meeting Room
Arthur Lewis Building
Manchester