
doi: 10.18452/34453
According to common understanding, knowledge emerges when information meets theory. But given AI's new capabilities for machine integration of mass data, do we even need theories anymore? The book is based on a two-day symposium jointly organized by the Robert K. Merton Center for Science Studies and the Gesellschaft für Wissenschaftsforschung Berlin. The symposium focused on three themes: 1) Theorizing and its new media: What kind of theorizing do science podcasts enable? 2) Epistemology and the metaphysics of theory, with some remarks on the philosophy of science, including the role of theory in university teaching; 3) AI and theory, with the final question of theory and the transparency of knowledge organization. The book begins with a reflection by Andrew Abbott on theory in the social sciences.
The publication of this work was supported by the Open Access Publication Fund of Humboldt-Universität zu Berlin.
100 Philosophie, Parapsychologie und Okkultismus, Psychologie, ddc:100, theorizing, 120 Epistemologie, Kausalität, Menschheit, epistemology, ddc:120, science studies, theory, artificial intelligence
100 Philosophie, Parapsychologie und Okkultismus, Psychologie, ddc:100, theorizing, 120 Epistemologie, Kausalität, Menschheit, epistemology, ddc:120, science studies, theory, artificial intelligence
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
