Project description
Past human-earth system interactions and their consequences
Promoting green initiatives requires understanding our environmental interactions. Analysing historical data provides insights. However, the lack of reproducible tools for integrating local land-use patterns into large-scale models limits progress. Supported by the Marie Skłodowska-Curie Actions programme, the AUSTROMODELS project will apply the Circle Diagram method to the collection and analysis of cadastral maps, census data, and archival records. It will employ both historical and digital humanities techniques, incorporating advanced machine learning-based image analysis to enhance our understanding of these resources. The project will then produce models for several socio-economically specific land-use patterns to simulate and study the impact of industrialisation in Steiermark, Austria, at three key timepoints: 1820, 1870, and 1910.
Objective
Historic data on human-Earth System interactions provides vital context for the environmental crises defining the 21st century. It is imperative, then, to develop reproducible, transposable, and scalable methods that can accurately integrate local patterns of past land use into planetary-scale Earth System models. An emerging method for reconciling historical data to the Earth System framework is the Circle Diagram method. This modelling system has capably integrated ethnographic, archaeological, and archival data to simulate subsistence and commercial behaviours in colonized and independent societies. Likewise, it has successfully described land use changes associated with ecological exchange, economic transformations, and state-imposed activities. Now, to study industrialization’s impacts and test the method’s transposability, this project will apply Circle Diagram Models to the former Austro-Hungarian Province of Styria (now Steiermark, Austria). To do so, it will gather and analyse cadastral maps, censuses, and archival data using both historical and digital humanities techniques, including machine learning-based image analysis. The project will then produce models for several socio-economically specific patterns of land use at three timepoints: 1820, 1870, and 1910. These will detail changes in land use, and therefore human-Earth System interactions, associated with burgeoning industrial activity in an understudied province; will demonstrate the method’s reproducibility in European contexts; and will improve its scalability by rendering large-scale archival data analysis less labour-intensive. The resulting models could then be the basis for continued modelling across the former Austro-Hungarian Empire, could inform ecological research focused on the environmental legacies of changes in Styrian land use, and—in conjunction with Philippine data—could be initial entries in a Global Land Use Archive that promotes research on human-Earth System interactions.
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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(opens in new window) HORIZON-MSCA-2025-PF
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8010 Graz
Austria
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