Quantitative assessment of open collaborations in science and engineering – CORES

Understanding how team collaborations underlie team performance is key for the design of organizational strategies as well as the development of new technologies for making groups more effective and collective actions more scalable. In particular, the COVID-19 pandemic has shown the challenge of coordinating large-scale, self-organized, open collaborative initiatives to provide an advanced collective response to the emergency. Here, we propose to leverage large-scale, fine-grain datasets of open science and open-source ecosystems for measuring and modeling how intra- and inter-team open collaborative processes underlie collective performance and learning in science and engineering. We expect these results can contribute to improving the efficiency and proficiency of innovation and impact in multi-scale organizational systems including both private and public sectors.