Welcome!
C-SEF
COVID-19 Safe Education Framework
Academic publication
Welfare-Maximizing Pooled Testing
URL
arXiv
Exemplary track paper award
Simon Finster, Michelle González Amador, Edwin Lock, Francisco Marmolejo-Cossío, Evi Micha, Ariel D. Procaccia.
24th ACM Conference on Economics and Computation, 2023
Exemplary track paper award
Simon Finster, Michelle González Amador, Edwin Lock, Francisco Marmolejo-Cossío, Evi Micha, Ariel D. Procaccia.
24th ACM Conference on Economics and Computation, 2023
A collaboration with researchers from
The COVID-19 Safe Education Framework (C-SEF) is an interdisciplinary and multi-institutional collaboration project, whose objective is to develop a systematic and automated protocol - based on the combination of knowledge of mechanism design, experimental causal inference and artificial intelligence - that allows Educational Institutions to use their facilities in a safe, efficient, and equitable manner.
Collaborating departments at IPICYT
