Objective
QUANTESS would develop innovative methods for the quantitative analysis of textual data in the social sciences. These methods would be sharply distinguished by more traditional content analysis schemes for analyzing texts – whether computer-assisted or not – by their explicit treatment of words as pure data, from which inductive statistical procedures may be used to estimate latent traits. Besides unlocking features of the texts not possible through interpretative methods, the “text as data” approach also allows rapid analysis of huge volumes of text in any language, providing a means for researchers to deal with the ubiquitous textual data now available. Existing statistical methods for textual data analysis exist, but these are still primitive in their development, relying on untested assumptions and unproven applicability, based on only short “proof-of-concept” demonstrations. In addition, there exists no single book-length work explaining the field of textual data analysis for the social sciences. Finally, software tools for applying textual data analysis techniques, particularly the advanced scaling models, are poorly maintained and documented and not accessible to users lacking a high degree of programming ability. QUANTESS would deliver on all three fronts: methodological innovation, dissemination of knowledge uniting all existing knowledge in a graduate-level text (plus a website, short courses, and instructional materials including videos), and creation of powerful yet accessible free software to be used for all analysis from the project and the resulting books and articles.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences data science
- natural sciences computer and information sciences software
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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.
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.
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.
ERC-2011-StG_20101124
See other projects for this call
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.
Host institution
WC2A 2AE London
United Kingdom
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.