
ESTER
Estimating the Earth’s prehistoric population based on a large number of Records.

Estimating Prehistoric Populations with Big Data & Bayesian Modelling
Understanding how human populations evolved over the past 12,000 years is fundamental to studying social complexity, cultural transformations, and human-environment interactions. However, current population estimates for prehistoric periods are often based on outdated models, expert assumptions, and incomplete data.
The ESTER Project (ESTimation of the prehistoric population of Eurasia based on a large number of Records) aims to revolutionize population reconstructions by integrating archaeological, palaeoenvironmental, and computational data into a Bayesian Hierarchical State-Space Model. This innovative approach allows us to estimate prehistoric population densities with unprecedented accuracy, incorporating uncertainty quantification and regional variations.
Recent News
- 📢 ESTER Project Now on GitHub! 🚀We’re excited to announce that the ESTER Project now has an official presence on GitHub! 🎉 🔗 Explore our repositories: GitHub – Project ESTER Hub… 📢 ESTER Project Now on GitHub! 🚀 weiterlesen
- ESTER Project Website is Now Live!We are excited to announce the launch of the official website for the ESTER Project! This platform will serve as the… ESTER Project Website is Now Live! weiterlesen
- ESTER Project to Begin on 1st September 2025We are pleased to confirm that the ESTER Project will officially commence on 1st September 2025. As we prepare for the project’s launch,… ESTER Project to Begin on 1st September 2025 weiterlesen
- ERC Consolidator Grant Awarded to ESTER ProjectWe are thrilled to announce that the ESTER Project has been selected for funding through the European Research Council (ERC) Consolidator Grant! This… ERC Consolidator Grant Awarded to ESTER Project weiterlesen
Core Research Pillars
Our research stands on four integrated pillars:

Population Estimates
Provide regionalized population estimates for Europe and Western Asia from 12,000 to 2,000 BP.

Big-Data Modelling
Develop a big-data-driven methodology for historical demography.

Data Integration
Integrate heterogeneous archaeological, palaeoecological, and statistical data sources.

Open Science
Offer open-access datasets and tools for further research.

ESTER
ERC-2024-COG 101171036
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