
This workshop will explore both the theoretical and practical dimensions of creating, using, and preserving large-scale scientific databases in the field of human evolution. Central to the discussion is how digital infrastructures and databases can be effectively developed, utilised, and sustainably maintained, with particular attention to their role in archaeological, paleoanthropological, paleobiological, and paleogeographic research.Participants will engage with both conceptual frameworks and applied methodologies for data management, focusing on the challenges and opportunities posed by large, interdisciplinary databases. While digital tools are increasingly used across scientific disciplines, critical issues remain regarding data integration, targeted expansion, evaluation, and long-term preservation.The workshop will also spotlight emerging approaches in data science—such as data mining, machine learning, deep learning, and artificial intelligence—that offer transformative potential for extracting and interpreting complex datasets.
| 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 |
