Increasing availability of digital data in Science, Technology and Innovation system pushes an approach that tends to quantify transparent and unbiased estimates of the growth and performance of aggregators of STI such as researchers, groups, institutions, and countries. The performance of such aggregators is frequently assessed through two primary dimensions, viz. productivity and the impact of its S&T products. While metrics evaluated from scientific data are rapidly becoming popular, these potentially influence policies to govern science. Performance indices are well intentioned, however, not always well informed, unbiased and transparent. Misapplications of these indices can lead to misguided policies that undermine the broader objectives of enhancing the science system. The complexities of evaluating performance are compounded in an era that encourages interdisciplinary research. Therefore, it is essential to address the underlying challenges and limitations associated with evaluation practices and to explore policy measures that promote responsible and effective assessment.
This session focuses on the unique challenges and opportunities in performance evaluation within Science, Technology, and Innovation (STI) aggregators. Participants will explore emerging trends and engage in dialogue around the challenges of existing performance indices, share insights on effective evaluation practices, and propose strategies to improve the transparency and applicability of performance metrics within the STI ecosystem.
The theme is tailored for governing bodies of the STI ecosystems, researchers, and policymakers engaged in performance evaluation, providing a platform for interdisciplinary knowledge exchange, collaboration, and networking.
