Science Daily  April 14, 2022 A team of researchers in the UK examines how open science practices and the risks of misuse interface and proposes solutions to the problems identified. They argue that in the context of viral engineering, open code, data, and materials may increase the risk of the release of enhanced pathogens. Openly available machine learning models could reduce the amount of time needed in the laboratory and make pathogen engineering easier. To prevent the misuse of computational tools, controlling access to software and data may be necessary. They highlight that research preregistration, a practice promoted by the […]