ERC FUNDED PROJECTS

The global performing arts community is requiring innovative systems to: a) document, transmit and preserve the knowledge contained in choreographic-dramaturgic practices; b) assist artists with tools to facilitate their compositional processes, preferably on a collaborative basis. The existing digital archives of performing arts mostly function as conventional e-libraries, not allowing higher degrees of interactivity or active user intervention. They rarely contemplate accessible video annotation tools or provide relational querying functionalities based on artist-driven conceptual principles or idiosyncratic ontologies. This proposal endeavours to fill that gap and create a new paradigm for the documentation of performance composition. It aims at the analysis of artists’ unique conceptual structures, by combining the empirical insights of contemporary creators with research theories from Multimodal Communication and Digital Media studies. The challenge is to design a model for a web-based collaborative platform enabling both a robust representation of performance composition methods and novel visualization technologies to support it. This can be done by analysing recurring body movement patterns and by fostering online contributions of users (a.o. performers and researchers) to the multimodal annotations stored in the platform. To accomplish this goal, two subjacent components must be developed: 1. the production of a video annotation-tool to allow artists in rehearsal periods to take notes over video in real-time and share them via the collaborative platform; 2. the linguistic analysis of a corpus of invited artists’ multimodal materials as source for the extraction of indicative conceptual structures, which will guide the architectural logics and interface design of the collaborative platform software.The outputs of these two components will generate critical case-studies to help understanding the human mind when engaged in cultural production processes.

1 378 200 €

Start date: 2014-05-01, End date: 2019-04-30

Our ability to recognize an object amongst many others is one of the most important features of the human mind. However, object recognition requires tremendous computational effort, as we need to solve a complex and recursive environment with ease and proficiency. This challenging feat is dependent on the implementation of an effective organization of knowledge in the brain. In ContentMAP I will put forth a novel understanding of how object knowledge is organized in the brain, by proposing that this knowledge is topographically laid out in the cortical surface according to object-related dimensions that code for different types of representational content – I will call this contentotopic mapping. To study this fine-grain topography, I will use a combination of fMRI, behavioral, and neuromodulation approaches. I will first obtain patterns of neural and cognitive similarity between objects, and from these extract object-related dimensions using a dimensionality reduction technique. I will then parametrically manipulate these dimensions with an innovative use of a visual field mapping technique, and test how functional selectivity changes across the cortical surface according to an object’s score on a target dimension. Moreover, I will test the tuning function of these contentotopic maps. Finally, to mirror the complexity of implementing a high-dimensional manifold onto a 2D cortical sheet, I will aggregate the topographies for the different dimensions into a composite map, and develop an encoding model to predict neural signatures for each object. To sum up, ContentMAP will have a dramatic impact in the cognitive sciences by describing how the stuff of concepts is represented in the brain, and providing a complete description of how fine-grain representations and functional selectivity within high-level complex processes are topographically implemented.

1 816 004 €

Start date: 2019-02-01, End date: 2024-01-31

Dunes are now protected environments, being top priority for coastal managers, because of their important role as coastal defences. But, it was not like that in the past. For centuries dunes were considered unproductive and dangerous. The sand blown by the wind was taken inland, invading fields, silting rivers and destroying villages. In the eighteenth century, a strategy was developed to fight against the dunes: trapping them with trees, with the double purpose of preventing the destruction of arable land and increasing their economic value converting them into forest areas. Different governments, in different countries supported the immobilization of the shifting sands. The strategy, developed in Europe, was taken to other places in the world. These works caused profound changes in vast coastal areas transforming arid landscapes of sandy dunes into green tree forests. This project aims to explore human-environment relations in coastal areas worldwide, since the eighteenth century until today, through the study of dunes as hybrid landscapes. Based on selected case-studies and comparative approaches, the project will focus on the origins, reasons and means of dunes afforestation; the impacts of the creation of new landscapes to local communities and ecosystems; and the present situation of dunes as coastal defences and rehabilitated environments. The final purpose is to produce an innovative global history of coastal dunes, combining knowledges from both Humanities and Social Sciences and Physical and Life Sciences, which has never been done. Supported by an interdisciplinary team, this research will result in new developments in the field of the Environmental History studies; provide relevant knowledge considering the need of efficient management solutions to adapt to the expected mean sea level rise; and stimulate environmental citizenship by disseminating the idea that the future of the world coasts depends on today’s actions.

1 062 330 €

Start date: 2018-11-01, End date: 2023-10-31

Recent events, from the anti-vaccination movement, to Brexit and even to mob killings, have raised serious concerns about the influence of the so-called fake news (FN). False information is not new in human history, but the recent surge in online activity, coupled with poor digital literacy, consumer profiling, and large profits from ad revenues, created a perfect storm for the FN epidemic, with still unimaginable consequences. This challenge is interdisciplinary and requires academic research to guide current calls for action issued by academics, governmental and non-governmental agencies, and the social network platforms themselves. FARE will enrich current efforts, which mostly confront FN spreading from an applied perspective, by offering a theoretical framework that allows to make testable predictions. FARE argues that sharing of FN is a deviation from pure rationality and brings together 1) state of the art knowledge in behavioural psychology, to assess the role that cognitive biases play in susceptibility to FN, and 2) current models in network science and epidemiology, to test whether FN spread more like simple or complex contagions. Finally, fully recognizing that these novel big-data approaches carry great risks, FARE will develop a new strategy, mostly based on distributed computing, and guidelines to the ethical handling of human-related big-data. Together, FARE will offer a comprehensive model to ask questions such as: 1) What role(s) cognitive biases play in FN spreading? 2) How does network architecture affect FNs spread? 3) How do biases and position on networks build on each other to impact propagation? 4) What monitoring and mitigation interventions are likely to be more efficient? Moreover, the study of FN from such a conceptual perspective has the potential to profoundly increase our knowledge on human behaviour and information spread, beyond specific problems, with implications for communication (science, political), economics, and psychology.

1 499 844 €

Start date: 2020-10-01, End date: 2025-09-30