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The concept of inclusive innovation has become widely embraced in the agricultural domain and promises to overcome traditional innovation paradigms by emphasizing more balanced, sustainable, and just human-environmental relations. Indigenous and local knowledge play an increasingly important role in debates about inclusive innovation, highlighting the diversity of relevant actors and marginalized perspectives. At the same time, the positioning of Indigenous and local knowledge in innovation processes remains ambiguous and contested. This article addresses this positioning in the context of inclusive agricultural innovations by reviewing 65 publications through iterative inductive coding. The qualitative review generates a conceptual framework that distinguishes five different modes relating innovation processes to Indigenous and local knowledge. These modes differ in locating innovations in endogenous, exogenous, or hybrid knowledge production. Furthermore, they also differ in their conceptualizations of Indigenous and local knowledge as dynamic or static. The resulting matrix provides resources for navigating the complex epistemic and political relations between knowledge systems in the agricultural domain.

Droughts and changing rainfall patterns due to natural climate variability and climate change, threaten the livelihoods of Malawi's smallholder farmers, who constitute 80% of the population. Provision of seasonal climate forecasts (SCFs) is one means to potentially increase the resilience of rainfed farming to drought by informing farmers in their agricultural decisions. Local knowledge can play an important role in improving the value of SCFs, by making the forecast better-suited to the local environment and decision-making. This study explores whether the contextual relevance of the information provided in SCFs can be improved through the integration of farmers’ local knowledge in three districts in central and southern Malawi. A forecast threshold model is established that uses meteorological indicators before the rainy season as predictors of dry conditions during that season. Local knowledge informs our selection of the meteorological indicators as potential predictors. Verification of forecasts made with this model shows that meteorological indicators based on local knowledge have a predictive value for forecasting dry conditions in the rainy season. The forecast skill differs per location, with increased skill in the Southern Highlands climate zone. In addition, the local knowledge indicators show increased predictive value in forecasting locally relevant dry conditions, in comparison to the currently-used El Niño-Southern Oscillation (ENSO) indicators. We argue that the inclusion of local knowledge in the current drought information system of Malawi may improve the SCFs for farmers. We show that it is possible to capture local knowledge using observed station and climate reanalysis data. Our approach could benefit National Meteorological and Hydrological Services in the development of relevant climate services and support drought-risk reduction by humanitarian actors.

Understanding attitudes towards science is crucial to safeguard the future of science, the application of its results and the inclusivity of decision-making processes related to science and technology. Most studies focus on attributes of social groups to explain attitudes towards science. In this study, we aim to move the discussion forward by focusing on perceived attributes of science itself by analysing over 300 letters to the editor in two Dutch national newspapers. The authors of these letters express a large degree of trust in science as a source of societal progress, if research is conducted according to a specific set of rules. Yet, they believe that these rules are under attack. The interests of universities as organizations and individual academics as well as the involvement of industry and government in research are perceived as conflicting with these rules. We conclude with recommendations for further research and practice.

This paper analyses so-called capacity building projects in African universities in relation to mobility and access to materiality. Capacity-building projects are typically framed as transnational projects funded by a donor in the Global North, targeting researchers in the Global South. Inevitably, these projects are embedded in various types of coloniality, which the “capacity building” discourse itself shows. During and after colonialism, uneven access to libraries and laboratories gave rise to mobility, that is, scholars travelling to the Global North to get access to materialities necessary for knowledge production. Through analyses of Danish capacity building projects aimed at relocating materialities for knowledge production to West Africa, I show how local access to materialities can enable more “independent” knowledge production. However, this mobility of materialities has not reduced academic mobility. Despite increased accessibility of scientific knowledges and its materialities in the peripheries of (hegemonic) Anglo-American knowledge centres, the “competition fetish” (Naidoo, 2018) and demands for internationalisation mean that mobility to these knowledge centres still play an important role for many African scholars.

In this paper, we perform an extensive review of relatively recent empirical research that relates new information technology to biased thinking. Based on this review, we develop a framework that suggests a number of implicit associations (i.e., unconscious linkages between phenomena, such as “women are nurturing”) that relate new information technology to a variety of attitudes held by both organizational decision makers and average users of such information technology (e.g., “new information technology is superior to older information technology”). In turn, our framework proposes a set of three underlying beliefs about new information technology (i.e., new information technology is mysterious, non-human, and complex) that may underlie the implicit attitudes and biased thinking we identified. These underlying beliefs suggest that biases related to new information technology are distinct, in important ways, from most interpersonal biases studied in organizations. Given these findings, we suggest an agenda for future research that may enhance our ability to understand and mitigate biases related to new information technology in organizational settings.

The focus of this paper is to review the qualitative case methods that have been used in technology transfer research over the last 20 years from 1996 to 2015. Case methods allow for more in-depth analyses and provide the opportunity to place research into a certain context due to the selection of e.g. specific sectors, institutions, countries, etc. Using a systematic literature review of five of the top journals in the field of technology transfer research, namely Journal of Technology Transfer, Research Policy, Science and Public Policy, R&D Management and Technovation, it yielded 107 articles using the search terms: "Technology Transfer'' AND ("Case Study'' OR "Case Method'' OR "Qualitative''). Our findings indicate a clustering of themes using qualitative case methods around technology transfer mechanisms and TTOs, academic entrepreneurship, university-industry collaboration, commercialization as well as R&D and firm knowledge transfer. We also identify trends in case method technology transfer research with respect to authorship, location of papers, sectoral contexts, data collection, numbers of cases and data analysis software. We conclude our paper discussing the implications of trends and themes and suggest that researchers need to reflect on used terminology and their utilization and postulate a need for more plurality of data collection methods.