Junsuk Rho, Jinn-Kong Sheu, Andrew Forbes, Din Ping Tsai, Andrea Alú, Wei Li, Mark L Brongersma, Joonhee Choi, F Javier Garcia de Abajo, Laura Na Liu, Alexander Szameit, Tracy Schloemer, Andreas Tittl, Mario Chemnitz, Cheng Wang, Jiejun Zhang, Yuri Kivshar, Tie Jun Cui, Ren-Min Ma, Cheng-Wei Qiu, Cuicui Lu, Yao-Wei Huang, Miguel Angel Solis Prosser, Ileana-Cristina Benea-Chelmus, Rachel Grange, Sungjin Kim, Anderson S L Gomes, Davide Ramaccia, Yating Wan, Apostolos Argyris, Antonio G Souza Filho, Tanmoy Chakraborty, Cristiano Matricardi
Bringing together researchers, funders, industry partners, and publishers from 14 countries across five continents, we advance the debate around open-science, assessment and learning. We introduce an integrative "open-knowledge system" framework linking knowledge production, validation, assessment, and reuse into one ecosystem view, and translate it into actionable recommendations for each stakeholder. Shifting focus to modular, machine-readable knowledge objects, these recommendations are intended to help diagnose misaligned incentives and guide reforms that properly value all scientific contributions.