Knowledge creation is at a sustainability crossroad. This is evidenced by a global decline in research breakthroughs despite increasing production of scientific publications. To promote a sustainable development of science, it has become important to diagnose the underlying causes of this paradox, and through this, promote policies which encourage a process of knowledge advancement that is sustainable and fosters public participation in science and technology to better tackle contemporary societal challenges.

This project focus on the analysis of individual research agendas of researchers in academic and non-academic settings, identifying the course they are taking, the factors influencing them, and how to encourage agendas aligned with current global sustainable development goals. This will begin with the analysis of identified issues, such as the effects of the publish-or-perish paradigm, and the gender gap in science, associated with an analysis of macro-economic, social, and cultural dimensions at a country level. Particular focus will be given to identifying the determinants of agendas which tackle societal challenges, and those which promote public engagement and participation, as these are the ones which directly focus on critical challenges such as climate change and assist in bringing science to the service of populations.

The study will make use of an already available dataset of 21.016 researchers from 165 countries and all fields of science, containing career and bibliometric data, information regarding their research agendas, organizational context, and other individual-level information. The dataset will be linked with the Varieties of Democracy (V-DEM) dataset, which contains 450 macro-economic, social, and cultural indicators, arrayed longitudinally, for 202 countries. This will allow for a systemic analysis of the determinants of research agendas, from the macro-level to the micro-level. Knowing what leads researchers to pursue society-driven agendas, engage with the public, as well as developing agendas more prone to scientific discovery, will allow the creation of better policies and incentives encouraging these topics and community engagement.

This is a mixed method project. It has a quantitative component, making use of regressions, Structural Equations Modeling, Multi-Group analysis, and others as needed in order to analyze the data which is already available. This will be followed-up by a qualitative component, based on interviews with selected participants, to cross-validate the quantitative findings and to allow a deeper understanding of researcher’s options in their research agenda-setting.

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