Project description DEENESFRITPL Robust prototype software to map opinion-based groups There is a way to construct bipartite graphs directly from opinion surveys. The ERC-funded Attitude-Maps-4-All project will do so by applying a mathematical method that will yield a network representation of opinion-based groups. The method uncovers group structure, locates individuals in the space, allows the application of network methods to analyse their relations, and detects ideological polarisation, providing new insight on social attitudes and opinions, in a wide range of disciplines related to modelling attitudes and human behaviour. Understanding these processes is essential for addressing urgent social challenges requiring cross-partisan synchronisation of core attitudes and opinions. The project will prototype a robust software architecture and training resources, test and assess them, and explore cooperation for commercialisation. Show the project objective Hide the project objective Objective Our ERC project developed a mathematical method to construct bipartite graphs directly from surveys of attitudes and opinions, providing a network representation of opinion-based groups. This approach reveals group structure, locates individuals in the space, allows the application of network methods to analyze their relations, and can detect ideological polarization, even without extremism. Like the invention of a new instrument for observing the physical world (e.g. a telescope), the method gives a new view on social attitudes and opinions, with huge value for detecting partisan dynamics in a wide range of disciplines interested in modelling attitudes and human behaviour. Understanding these processes is essential for tackling urgent social issues which require cross-partisan synchronization of core attitudes/opinions (e.g. climate change; vaccine hesitancy; cohesive democracy). Applying these methods currently requires high-level mathematics and coding skills. To realize the social value of the method we must get it into the hands of end-users in useable form. We will (1) prototype a robust software architecture; (2) prototype training resources; (3) implement end-user testing and evaluation of the prototype software and training; (4) build a community of early adopters and developers to test, validate and evaluate the method across a range of multidisciplinary applications; (5) explore synergistic commercialisation opportunities; and (6) determine the optimal IP strategy for maximizing the social value of the innovation. Our intention is to maximize the value of the advance already achieved in our ERC project by completing the groundwork to make the innovation maximally accessible to the interdisciplinary scientific community and to identify synergistic commercialization opportunities. Fields of science natural sciencescomputer and information sciencessoftwaresocial sciencespolitical sciencesgovernment systemsdemocracysocial sciencessociologysocial issuesnatural sciencesmathematicspure mathematicsdiscrete mathematicsgraph theorynatural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes Programme(s) HORIZON.1.1 - European Research Council (ERC) Main Programme Topic(s) ERC-2022-POC1 - ERC PROOF OF CONCEPT GRANTS1 Call for proposal ERC-2022-POC1 See other projects for this call Funding Scheme HORIZON-AG-LS - HORIZON Lump Sum Grant Coordinator UNIVERSITY OF LIMERICK Net EU contribution € 150 000,00 Address National technological park, plassey - Limerick Ireland See on map Region Ireland Northern and Western Border Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window EU contribution No data
