The page lists 23 deliverables related to the research project "ODYCCEUS".
title and desprition | type | last update |
---|---|---|
Micro-foundation for models of opinion dynamicsMicro-foundation for models of opinion dynamics. Using lab, online and field experiments we will gain empirical understanding of the inter personal mechanisms of conceptual negotiation and opinion exchange to assess the plausibility of model assumptions and develop better, socio-psychologically rooted models. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Games, language and cultureWe will bring the ample evidence from social psychology and anthropology about categorical reasoning to bear on the formalism of game theory. The main deliverable is a critical game-theoretical survey of antecedents and connections for the modelling and study of language and cultural communication. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Uncertainty and socio-technical changeThis deliverable will strengthen the epistemological foundations of the project by making use of recent developments in modelling the uncertainty in socio-technical systems, therewith shedding light on its knowledge claims. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Multidimensional and multilevel analysis of interactions in social systemsIn this research report, we will develop aggregation algorithms to study the graph topology and the dynamics of interactions at several scales in social systems. Such methods will allow the analysis of community structures in social media, as well as the multiscale representation of international conflicts in mass media. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Statistical inference of political spacesStatistical inference of political spaces. This deliverable will provide first results on the statistical inference of the latent dimensions underlying differences in political positions from texts. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
User community formation (I)Report on progress in user community formation. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
The international geomedia agendaThis deliverable will provide conceptual grounds for the analysis of opinions about international conflicts in the media, crossing the perspectives of quantitative geography and media studies. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Green Book (II)Green book with Penelope evaluation Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Position Paper„Reflections on Europe\'s cultural conflicts --- An interdisciplinary dialogue on new methods and new data“. A position paper to introduce Odycceus’ approach to current conflicts and to prepares the case studies workshop (Milestone 7). Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Social and spatial interaction modelsThe flow of news produced by media or individuals located in a given place about conflicts located in another place can be explained in the majority of cases by variables related to continuous measure of proximity, and network structure. Modelling these effects is crucial in order to filter the banal part of flows - related to general rules - and the specific effect of singular conflicts or event - revealed by positive and negative residuals. The deliverable will consist in a technical report on the use of spatial and social interaction model for the filtering of conflicts in news of flows. It will be associated to a set of programs and a selection of datasets for examples, that could take the form of a package in an open source language like R. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Algorithms for extraction of signed social network from textual dataThis algorithm will extract from a textual corpus a dynamic social network between actors whose views are represented as a positive or negative tie, from which communities can be discovered and further described. This method will lay as foundation for further analyses on the structural dynamics of opinion interaction. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Blue Book (II)Blue book with Penelope design specification. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Dynamics of representations in gamesWe will develop formal game-theoretic tools to describe and analyse how people with misaligned cultural mindsets redefine their interactive actions in face of emergent evidence. The main deliverable is a theoretical foundation for studying the evolution of opinions and behaviour after unexpected occurrences alert agents that the predictive value of their current models is unwarranted. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Precision language processingOverview of computational linguistics tools based on construction grammar, evaluation of their performance with respect to efficiency, accuracy and scope. Report on adequacy of machine learning tools employed for learning language models. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Emergences of communication bubblesWe develop and analyse models for the coevolution of opinions and interaction communities to understand processes through which having different opinions results in different interaction patterns, and vice versa. The main deliverable is to understand feedback mechanisms between diverging views and communication group segregation that nurture further polarization. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Blue Book (III)Blue book with Penelope design specification. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Blue Book (I)Blue book with Penelope design specification. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
The geometry of political discourseThis deliverable will provide the mathematical framework to describe political spaces as conceptual spaces. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Opnion dynamics on abstract conceptual spacesDevelopment of computational models for opinion dynamics on structured conceptual spaces and investigation of their mathematical properties. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Website and social network profilesWebsite and social network profiles are up and running. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Websites, patent fillings, videos etc. | 2020-02-19 |
Green Book (I)Green book with Penelope evaluation Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Projective games\"Taking into account (partial) representations leads to recognize that a same \"\"native\"\" game can generate different perceived games with different equilibria and can lead to systematic misinterpretation of the intentions underlying others’ actions. We develop formal tools to model games in which agents have limited representations (projective games) and analyse the equilibria arising from different representations in such games. We provide theoretical concepts and tools to analyse basic properties of cultures as stable distributions of representations.\" Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Documents, reports | 2020-02-19 |
Data management planThe data management plan describes in detail the data to be collected and analysed (seed sets), the methods and protocols to be applied (query design), the sharing policy (Github) as well as the curation and preservation. Programme: H2020-EU.1.2.2. - Topic(s): FETPROACT-01-2016 |
Open Research Data Pilot | 2020-02-19 |