| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Broersen, Jan | |
| dc.contributor.author | Keijzer, Hanne | |
| dc.date.accessioned | 2022-08-17T23:00:34Z | |
| dc.date.available | 2022-08-17T23:00:34Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/42330 | |
| dc.description.abstract | This thesis aims to investigate the promise of data science, and will ultimately
form a fundamental critique of data science. Thereby trying to start a much
needed discussion of the current use of data science, and the claim that the classical
scientifc method has become obsolete because of data science | |
| dc.description.sponsorship | Utrecht University | |
| dc.language.iso | EN | |
| dc.subject | An analysis of data science, followed by a fundamental, structural critique of data science. | |
| dc.title | Critique of Data Science: Can data science make the scientific method obsolete? | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.keywords | data science; scientific method; critique; negative results; irreproducibility; Chris Anderson; feminist standpoint theory; | |
| dc.subject.courseuu | History and Philosophy of Science | |
| dc.thesis.id | 8769 | |
