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Creative Writing and Dynamic Analysis of Writers' Manuscripts – CreaLAME
Cré@lame proposes a study of creative writing from the point of view of genetic operations and writing processes, their psycholinguistic dimension and the ergonomics of creativity. The hypothesis is that these operations can be modelled and analysed in the practice of a heritage writer, whose writin
discoverAbility and investiGation in spAtial iconograPhic hEritage – AGAPE
Revealing the hidden treasures of a place, building a bridge between its past and present days, visualizing its evolution: this is the vision of AGAPE. With the acceleration of open data policies promoting the circulation of public data, and the proliferation of information on the Internet, it is no
Restore disturbed speech to improve intelligibility, comprehensibility and communication – OLINPIC
What if tomorrow you were deprived of your ability to communicate ? What would you like as a solution? Currently, writing or a computer can replace your speech or voice, but perhaps you would dream of having your communication capacity returned to you? This is the aim of the OLINPIC project : to res
artificial Intelligence to DisEngage from FIXation – IDEFIX
In critical real-world environments, professionals have to make provisional assessments of the situation based on partial and uncertain information. This context is favorable to fixation errors, i.e. not updating the assessment of a situation or persisting in an action plan that is no longer appropr
Punk sound is not dead. Musicological, sonic and perceptual characterization of punk using qualitative and data-driven approaches – PSIND
The PSIND project aims to deepen our understanding of the notion of musical genre via the case study of punk, by objectively disentangling the acoustic substrate of punk sound from its socio-cultural correlates, and revealing the morphologies likely to represent punk sound as closely as possible to
Mixed Initiative Co-Creative Design for Long-Term Human-AI Musical Partnerships – MICCDroP
Current Human-Artificial intelligence (Ai) co-creative systems, also known as Mixed Initiative Co-Creative systems (MICC) have opened new avenues in music generation. These systems facilitate novel creative processes and modes of interactions. However, these systems lack the ability for long-term ad
Exploration and Expertise: A mixed methods research – 2E2MR
The "Exploration and Expertise: A Mixed Methods Research " (2E2MR) project combines computer and data sciences with social and human sciences, in particular experimental psychology and cognitive sciences. This interdisciplinary project focuses on the holistic analysis of exploratory activity in expe
THERAPEUTIC: gamified incentivizing tangible interfaces for therapeutic patient education in the case of osteoporosis – THERAPEUTIC
Osteoporosis is a severe chronic disease defined as bone fragility. One-third of women and one-fifth of men will suffer an osteoporotic fracture after age 50. As osteoporosis is a transparent disease with silent symptoms, treatment adherence represents a therapeutic challenge. According to the Frenc
Exploring the frontiers of phylolinguistics – X-PhyLs
Historical linguistics have recently witnessed a new quantitative turn with the development of computational models and methods that complement the traditional methods for reconstructing language histories. Such methods have have been successfully applied to many language families, including Austron
Charting Artificial Intelligence – CHAI
Artificial Intelligence (AI) is a highly polysemic and ever-evolving field, encompassing a diverse set of actors with heterogeneous positions and principles. This includes researchers from various fields, be it exact sciences or social sciences, regulatory bodies, companies involved in developing or
EValuating gender policies in academia through the Analysis of scientific collaboration networks – EVA
The EVA project is dedicated to addressing gender disparities within the realm of academia and research. Focused on the fields of omputer science, political science, economics, and sociology, which align with our consortium's research areas, EVA conducts an analysis of gender dynamics within the geo
Social mobility and spatial inequalities in France: an interdisciplinary approach – MOSIS
MOSIS brings together an interdisciplinary consortium (sociologist, statistician, geographer, data scientist, and expert in multi-agent models) firstly to analyze the evolution of spatial inequalities of intergenerational social mobility in France, secondly to improve statistical and mathematical me
Blockchain and Decentralized Finance – BLOCKFI
The concept of Decentralized Finance (DeFi) involves applications operating on blockchains, aiming to replicate traditional financial products. Despite being smaller in volume compared to Traditional Finance (TradFi), DeFi is gaining significance in the crypto landscape. DeFi addresses key issues of
Sonify the sporting movement to better understand and optimize it – MixSon
New technologies are increasingly used as artefacts to optimize sports performance. On the one hand, these technologies make it possible to better describe and analyze performance (evaluation component). On the other hand, they make it possible to better transmit the relevant information to the athl
Glottalization in the light of Machine Learning – Glot-TAL
The Glot-TAL project addresses a crucial issue in phonetics and phonology: glottalization in the world's tonal languages. By combining phonetic expertise with the power of deep learning and large-scale data analysis, it will allow for significant progress in fundamental phonetic-phonological theory
Working Memory as a Basis for Adaptive learning Technology – WoMBAT
Video imposes constraints on learning, and a lot of studies provide video design principles to optimize learning. However, while a major constraint is the transitory nature of the information, which strongly solicits working memory (WM), very few studies have been conducted to understand learners’ n
Computer vision for an history of early news photo agencies at scale – HIGH-VISION
High-Vision combines expertise from the human sciences and computer vision in order to address the challenges posed by the mass digitization of heritage photographs. As a result of the historical bias inherent in the training data for computer vision systems used to analyze photographs from the late
AI-driven personalized assistance in serious games to foster computational thinking – AICT
Game-Based Learning Environments (GBLE) show promise in fostering Computational Thinking (CT) and programming skills in K-12 educations age, by letting students design and run algorithms to advance in games by means of simplified programming blocks. However, such GBLEs can be challenging to some stu