Evidence-based indicators in science, technology and innovation (STI) help governments across the world to formulate policies and identify opportunities for development. The second round of a survey designed to capture such indicators across Africa, a project sponsored by SIDA, was recently launched in Ethiopia.
But if STI indicators are to contribute effectively to a sustainable path towards social and technological transformation, they need to be sensitive to the African context. Comparisons of indicators such as research and development (R&D) expenditure between African countries must not dominate policy discussions.
Besides, Africa is not well served by borrowing indicators from other regions. There is no point simply reinventing the wheel, but Africa must develop measures of STI activity that accurately reflect African economies and experiences that are likely to be neglected because existing methods to capture them are lacking.
In particular, we need to understand how to convert beneficial technologies into tangible benefits in Africa, and how to capture traditional as well as modern knowledge.
Collecting the Right Data
To develop effective indicators, African nations must first establish what resources they have and how to make the most of them.
Most African economies are dominated by agriculture, although some resource-rich countries have industries such as petroleum exploration or mining of minerals. In the current context of rapidly emerging economies such as China, the demand for natural resources will continue to grow, and these industries will continue to expand.
This demand is closely connected to the boom in the development of infrastructure across Africa, such as roads and ports, providing opportunities not only for economic activity, but also for learning about technology and applying scientific knowledge.
Ensuring that this development benefits people requires STI indicators that can help policymakers stimulate innovation in these sectors.
Existing methods of data collection provide neat and tidy indicators for manufacturing, among other sectors, but this is clearly not the main driver of most economies in Africa.
And although it is important to strengthen manufacturing, this must not come at the expense of other key sectors, such as agriculture, health, extractive industries and infrastructure development, even though these areas lag behind in useful methods for data collection and analysis.
Across Sub-Saharan Africa, the contribution of manufacturing to national income has not risen since the 1960s when it stood at 15 per cent. In Kenya, for example, manufacturing accounts for 12 per cent of national income, roughly half the contribution from agriculture (25 per cent) — and Kenya has one of the strongest manufacturing sectors on the continent.
Agriculture can involve the use of sophisticated technologies. And vegetables such as French beans and snow peas grown in Kenya are on supermarket shelves across Europe within 24 hours of being harvested.
But like other sectors, agriculture straddles the formal and informal economies. It also draws on both modern and traditional knowledge. The STI indicators used must capture this duality of knowledge systems, as well as the informality of the economic activity.
Agricultural innovation often results from work in research institutes — but also from the ingenuity of farmers, including those in remote areas, who use and adapt new ideas to suit their needs. These innovators are often part of informal networks that pool ideas and expertise, using them in novel ways to meet specific challenges.
This complexity raises the question of how STI indicators should be developed to capture innovative activity that is highly fragmented and informal, and that often goes undetected by existing processes.
I am not suggesting that those responsible for collecting STI data should single-handedly deal with these issues. There must be broader national ownership of processes to develop such indicators in a systemic, strategic way. People need to understand that, like a national census, the collection of STI data is useful, meaningful and deserving of their cooperation.
Another major gap in Africa's STI system is the lack of specialised capabilities for innovation — the process of converting knowledge to tangible benefits for people and communities.
This transformation depends on human capabilities or skills that can connect scientific output to local demand for solutions to existing problems. Without these capabilities, the products of scientific research will just gather dust.
Policymakers have tended to focus on capabilities for R&D to promote STI. But we need to give serious attention to the capabilities needed to translate the outputs from R&D into usable and accessible solutions to existing problems challenges — such as technical, engineering and managerial skills.
Producing STI indicators that overlook these capabilities is not likely to lead to evidence-based policies that can effectively leverage innovation for development.
Innovation is not just a technical process, but also a social and economic process of introducing beneficial technologies and helping countries achieve development. This is important for the shift from R&D as a determinant of progress to the broader perspective of innovation as a process of social transformation.
STI indicators must provide policymakers with the means to formulate evidence-based policy that is effective in mobilising innovation for development.
Watu Wamae is innovation and technology policy analyst for the non-profit research institute RAND Europe.
This commentary was also published in The Citizen (Tanzania) on August 5, 2011.
This commentary originally appeared on SciDev.Net on July 6, 2011. Commentary gives RAND researchers a platform to convey insights based on their professional expertise and often on their peer-reviewed research and analysis.