Key research themes
1. How can archaeological and ecological data model prehistoric and early historic population dynamics and demography?
This research area focuses on developing methods to reconstruct and interpret ancient population patterns and dynamics using archaeological evidence such as radiocarbon dates, skeletal remains, DNA data, and ecological models. The goal is to integrate demographic theory, spatial analysis, and life history perspectives to explain how human populations grew, dispersed, and adapted over prehistoric and early historic periods, addressing challenges posed by sparse data and complex social behaviors.
2. What does ancient and modern genomic evidence reveal about the demographic history and interactions between migrating and indigenous populations?
This theme encompasses the use of mitochondrial DNA, ancient and modern whole-genome sequencing, and population genetic modeling to infer the timing, scale, and nature of human expansions, admixture, and population structure changes. Genomic data reveals complex demographic histories of Holocene dispersals, the spread of agriculture, and interaction between hunter-gatherer and farmer populations, as well as stability and mobility in later historical periods, shedding light on the mechanisms underlying cultural and linguistic diffusion.
3. How have historical censuses, vital records, and population registers been developed and used to reconstruct demographic patterns and social structures in early modern to modern periods?
This research focuses on historical demography through the compilation, critical assessment, and methodological development of census and parish register data to estimate population size, vital rates, and social composition in early modern Europe, particularly Germany and Transylvania. It explores administrative practices, data quality, and new approaches to population estimates, including the use of enhanced master address files and the interpretation of household-level data for understanding demographic and social processes.