ERC FUNDED PROJECTS

"Recent developments in image-making techniques have resulted in a drastic blurring of the threshold between the world of the image and the real world. Immersive and interactive virtual environments have enabled the production of pictures that elicit in the perceiver a strong feeling of being incorporated in a quasi-real world. In doing so such pictures conceal their mediateness (their being based on a material support), their referentiality (their pointing to an extra-iconic dimension), and their separateness (normally assured by framing devices), paradoxically challenging their status as images, as icons: they are veritable “an-icons”. This kind of pictures undermines the mainstream paradigm of Western image theories, shared by major models such as the doctrine of mimesis, the phenomenological account of image-consciousness, the analytic theories of depiction, the semiotic and iconological methods. These approaches miss the key counter-properties regarding an-icons as ""environmental"" images: their immediateness, unframedness, and presentness. Subjects relating to an-icons are no longer visual observers of images; they are experiencers living in a quasi-real environment that allows multisensory affordances and embodied agencies. AN-ICON aims to develop “an-iconology” as a new methodological approach able to address this challenging iconoscape. Such an approach needs to be articulated in a transdisciplinary and transmedial way: 1) HISTORY – a media-archaeological reconstruction will provide a taxonomy of the manifold an-iconic strategies (e.g. illusionistic painting, pre-cinematic dispositifs, 3D films, video games, head mounted displays); 2) THEORY – an experiential account (drawing on phenomenology, visual culture and media studies) will identify the an-iconic key concepts; 3) PRACTICES – a socio-cultural section will explore the multifaceted impact of an-iconic images, environments and technologies on contemporary professional domains as well as on everyday life. "

2 328 736 €

Start date: 2019-09-01, End date: 2024-08-31

‘Consistency’ is regularly cited as a desirable attribute of border control, but it has received little critical social scientific attention. This inter-disciplinary project, at the inter-face between critical human geography, border studies and law, will scrutinise the consistency of European asylum adjudication in order to develop richer theoretical understanding of this lynchpin concept. It will move beyond the administrative legal concepts of substantive and procedural consistency by advancing a three-fold conceptualisation of consistency – as everyday practice, discursive deployment of facts and disciplinary technique. In order to generate productive intellectual tension it will also employ an explicitly antagonistic conceptualisation of the relationship between geography and law that views law as seeking to constrain and systematise lived space. The project will employ an innovative combination of methodologies that will produce unique and rich data sets including quantitative analysis, multi-sited legal ethnography, discourse analysis and interviews, and the findings are likely to be of interest both to academic communities like geographers, legal and border scholars and to policy makers and activists working in border control settings. In 2013 the Common European Asylum System (CEAS) was launched to standardise the procedures of asylum determination. But as yet no sustained multi-methodological assessment of the claims of consistency inherent to the CEAS has been carried out. This project offers not only the opportunity to assess progress towards harmonisation of asylum determination processes in Europe, but will also provide a new conceptual framework with which to approach the dilemmas and risks of inconsistency in an area of law fraught with political controversy and uncertainty around the world. Most fundamentally, the project promises to debunk the myths surrounding the possibility of fair and consistent border controls in Europe and elsewhere.

1 252 067 €

Start date: 2016-09-01, End date: 2021-08-31

"This project will develop a new framework for modeling economic agents having ""boundedly rational expectations"" (BRE). It is based on the concept of Bayesian networks (more generally, graphical models), borrowed from statistics and AI. In the framework's basic version, an agent is characterized by a directed acyclic graph (DAG) over the set of all relevant random variables. The DAG is the agent's ""type"" – it represents how he systematically distorts any objective probability distribution into a subjective belief. Technically, the distortion takes the form of the standard Bayesian-network factorization formula given by the agent's DAG. The agent's choice is modeled as a ""personal equilibrium"", because his subjective belief regarding the implications of his actions can vary with his own long-run behavior. The DAG representation unifies and simplifies existing models of BRE, subsuming them as special cases corresponding to distinct graphical representations. It captures hitherto-unmodeled fallacies such as reverse causation. The framework facilitates behavioral characterizations of general classes of models of BRE and expands their applicability. I will demonstrate this with applications to monetary policy, behavioral I.O., asset pricing, etc. I will extend the basic formalism to multi-agent environments, addressing issues beyond the reach of current models of BRE (e.g., formalizing the notion of ""high-order"" limited understanding of statistical regularities). Finally, I will seek a learning foundation for the graphical representation of BRE, in the sense that it will capture how the agent extrapolates his belief from a dataset (drawn from the objective distribution) containing ""missing values"", via some intuitive ""imputation method"". This part, too, borrows ideas from statistics and AI, further demonstrating the project's interdisciplinary nature."

1 379 288 €

Start date: 2016-07-01, End date: 2021-06-30

If you suddenly hear your song on the radio and spontaneously decide to burst into dance in your living room, you need to precisely time your movements if you do not want to find yourself on your bookshelf. Most of what we do or perceive depends on how accurately we represent the temporal properties of the environment however we cannot see or touch time. As such, time in the millisecond range is both a fundamental and elusive dimension of everyday experiences. Despite the obvious importance of time to information processing and to behavior in general, little is known yet about how the human brain process time. Existing approaches to the study of the neural mechanisms of time mainly focus on the identification of brain regions involved in temporal computations (‘where’ time is processed in the brain), whereas most computational models vary in their biological plausibility and do not always make clear testable predictions. BiT is a groundbreaking research program designed to challenge current models of time perception and to offer a new perspective in the study of the neural basis of time. The groundbreaking nature of BiT derives from the novelty of the questions asked (‘when’ and ‘how’ time is processed in the brain) and from addressing them using complementary but distinct research approaches (from human neuroimaging to brain stimulation techniques, from the investigation of the whole brain to the focus on specific brain regions). By testing a new biologically plausible hypothesis of temporal representation (via duration tuning and ‘chronotopy’) and by scrutinizing the functional properties and, for the first time, the temporal hierarchies of ‘putative’ time regions, BiT will offer a multifaceted knowledge of how the human brain represents time. This new knowledge will challenge our understanding of brain organization and function that typically lacks of a time angle and will impact our understanding of how the brain uses time information for perception and action

1 670 830 €

Start date: 2016-10-01, End date: 2021-09-30