Science 2.0 generally refers to new practices of scientists who post raw experimental results, nascent theories, claims of discovery and draft papers on the Web for others to see and comment on.
Proponents say these “open access” practices make scientific progress more collaborative and therefore more productive.
Critics say scientists who put preliminary findings online risk having others copy or exploit the work to gain credit or even patents.
Despite pros and cons, Science 2.0 sites are beginning to proliferate; one notable example is the OpenWetWare project started by biological engineers at the Massachusetts Institute of Technology.
Science 2.0 generally refers to new practices of scientists who post raw experimental results, nascent theories, claims of discovery and draft papers on the Web for others to see and comment on.
Proponents say these “open access” practices make scientific progress more collaborative and therefore more productive.
Critics say scientists who put preliminary findings online risk having others copy or exploit the work to gain credit or even patents.
Despite pros and cons, Science 2.0 sites are beginning to proliferate; one notable example is the OpenWetWare project started by biological engineers at the Massachusetts Institute of Technology.
Vast improvements in raw computing power, storage capacity, algorithms, and networking capabilities have led to fundamental scientific discoveries inspired by a new generation of computational models . . .Powerful 'data mining' techniques operating across
S. Linek, C. Hoffmann, and R. Jäschke. Proceedings of the 14th International Technology, Education and Development Conference, page 1009--1018. IATED, (March 2020)