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Mannocci, Andrea; Salatino, Angelo A.; Osborne, Francesco and Motta, Enrico
(2017).
Abstract
The pace of research is nowadays extremely intensive, with datasets and publications being published at an unprecedented rate. In this context data science, artificial intelligence, machine learning and big data analytics are providing researchers with new automatic techniques which not only help them to manage this flow of information but are also able to identify automatically interesting patterns and insights in this vast sea of information. However, the emergence of mechanised scientific discovery is likely to dramatically change the way we do science, thus introducing and amplifying serious societal implications on the role of researchers themselves, which need to be analysed thoroughly.
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- Item ORO ID
- 50949
- Item Type
- Conference or Workshop Item
- Keywords
- artificial intelligence; semantic web; scientific discovery; knowledge discovery; future research; dystopian; black mirror; mechanised scientific discovery; discovery informatics; artificial scientist
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Depositing User
- Andrea Mannocci