Project description
Paving the way for accurate computational models in landscape archaeology
Landscape archaeology – the study of the relationship between past societies and their environments – faces key challenges. One of them is the uncertainty in archaeological reconstructions of past landscapes resulting from the fragmentary nature of archaeological data. Addressing this is the Marie Skłodowska-Curie Actions NeFLaRA project. It aims to create a new robust quantitative framework for more accurate computational models of past landscapes, improving their reliability and enhancing their interpretative potential. To do this, the project will explore, assess and apply a wide range of uncertainty quantification, spatial network analysis and geovisualisation methods to databases coming from the Caribbean, the Amazon and Europe.
Objective
NeFLaRA (A New Framework for Landscape Research in Archaeology) is an interdisciplinary project that will help address landscape archaeology’s most fundamental challenge: the inherent uncertainty in archaeological reconstructions of past landscapes as a result of the fragmentary nature of archaeological data. Landscape archaeology studies the relationship between past societies and their environments. Computational and other methods in archaeological landscape research, and the humanities more broadly, focus almost exclusively on spatial elements, although there is a clear notion that time and histories are fundamentally connected to the landscape. Yet, this dominance of space in landscape research suffers from the major challenge of the fragmentary nature of archaeological data, particularly when this data comes from a ‘non-systematic’ regional survey as opposed to ‘systematic total area’ survey. While landscape archaeology has benefited from computational developments, a protocol to overcome the embedded uncertainty on spatial data is absent. By defining best practices, identifying optimal methods and outlining clear protocols for different datasets and spatial analyses, this project will create a new robust quantitative framework for more accurate computational models of past landscapes, improving their reliability and enhancing their interpretative potential. To achieve this, NeFLaRA will focus on three methodological gaps: (1) the lack of validated methods for quantifying the uncertainty of non-systematic regional archaeological data and models, (2) the poorly explored field of research combining spatial analysis (statistics and geographical information systems [GIS]) and network analysis to study non-systematic regional databases, and (3) the lack of a best practice guidelines and method pipelines for geo-visual representations that take into account uncertainty in multiscalar spatial data.
Fields of science (EuroSciVoc)
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.
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.
- natural sciences computer and information sciences databases
- humanities history and archaeology history
- natural sciences earth and related environmental sciences physical geography cartography geographic information systems
- humanities history and archaeology archaeology
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
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.
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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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2021-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
8000 Aarhus C
Denmark
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.