Deborah Priß
Biographic Data
| ID | 4435266 |
|---|---|
| NAME | Deborah Priß |
| GIVEN NAMES | Deborah |
| FAMILY NAME | Priß |
| SIGNATURE | PRIß D |
| AFFILIATIONS | Durham University |
| ORCID | 0000-0002-3801-9693 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Urban resilience in Ancient Mesopotamia: Insights into the socioeconomic system of the Bronze and Iron Age Khabur Valley
The ability of urban centres to grow and persist through crises is often assessed qualitatively in archaeology but quantitative assessment is more elusive. Here, the authors explore urban resilience in ancient Mesopotamia by applying an adaptive cycle framework to the settlement dynamics of the Bronze and Iron Age Khabur Valley ( c . 3000–600 BC). Using an integrated dataset of settlements and hollow ways, they identify patterns of growth, conser…
The social behind the physical - Assessing tie formation processes of ancient route systems
Assessing quantitative methods in archaeology via simulated datasets: The Archaeoriddle challenge. Concept, project and motivations
Compared to what is found in many other scientific disciplines, archaeological data are typically scarce, biased and fragmented. This, coupled with the fact that archaeologists can rarely test their hypotheses using experimental design, makes archaeological inference and our ability to assess the robustness of quantitative methods used to make such inferences challenging. Archaeoriddle is a project that was born as an attempt to compare archaeolo…
Filling the Gaps—Computational Approaches to Incomplete Archaeological Networks
Networks are increasingly used to describe and analyse complex archaeological data in terms of nodes (archaeological sites or places) and edges (representing relationships or connections between each pair of nodes). Network analysis can then be applied to express local and global properties of the system, including structure ( e.g. modularity) or connectivity. However, the usually high amount of missing data in archaeology and the uncertainty the…
Filling the Gaps—Computational Approaches to Incomplete Archaeological Networks
Networks are increasingly used to describe and analyse complex archaeological data in terms of nodes (archaeological sites or places) and edges (representing relationships or connections between each pair of nodes). Network analysis can then be applied to express local and global properties of the system, including structure ( e.g. modularity) or connectivity. However, the usually high amount of missing data in archaeology and the uncertainty the…
Assessing quantitative methods in archaeology via simulated datasets: The Archaeoriddle challenge. Concept, project and motivations
Compared to what is found in many other scientific disciplines, archaeological data are typically scarce, biased and fragmented. This, coupled with the fact that archaeologists can rarely test their hypotheses using experimental design, makes archaeological inference and our ability to assess the robustness of quantitative methods used to make such inferences challenging. Archaeoriddle is a project that was born as an attempt to compare archaeolo…
The social behind the physical - Assessing tie formation processes of ancient route systems
Assessing quantitative methods in archaeology via simulated datasets: The Archaeoriddle challenge. Concept, project and motivations
Compared to what is found in many other scientific disciplines, archaeological data are typically scarce, biased and fragmented. This, coupled with the fact that archaeologists can rarely test their hypotheses using experimental design, makes archaeological inference and our ability to assess the robustness of quantitative methods used to make such inferences challenging. Archaeoriddle is a project that was born as an attempt to compare archaeolo…
Filling the Gaps—Computational Approaches to Incomplete Archaeological Networks
Networks are increasingly used to describe and analyse complex archaeological data in terms of nodes (archaeological sites or places) and edges (representing relationships or connections between each pair of nodes). Network analysis can then be applied to express local and global properties of the system, including structure ( e.g. modularity) or connectivity. However, the usually high amount of missing data in archaeology and the uncertainty the…
Urban resilience in Ancient Mesopotamia: Insights into the socioeconomic system of the Bronze and Iron Age Khabur Valley
The ability of urban centres to grow and persist through crises is often assessed qualitatively in archaeology but quantitative assessment is more elusive. Here, the authors explore urban resilience in ancient Mesopotamia by applying an adaptive cycle framework to the settlement dynamics of the Bronze and Iron Age Khabur Valley ( c . 3000–600 BC). Using an integrated dataset of settlements and hollow ways, they identify patterns of growth, conser…
Archaeology and ancient environmental studies (3 works) · Archaeology (2 works) · Computer Science (2 works) · Geography (2 works) · Image Processing and 3D Reconstruction (2 works) · Archaeological Research and Protection (1 works) · Bronze Age (1 works) · Data science (1 works) · Field (mathematics (1 works) · History (1 works)