Luwian is a language of ancient Anatolia and Syria, which is attested in writing between 1500 and 700 BC. It belongs to the Anatolian group of the Indo-European family and thus represents a close relative of Hittite. It is attested in two scripts: Anatolian hieroglyphs and Mesopotamian cuneiform. The majority of Luwian cuneiform texts still lack cohesive translations, even though the meanings of most words are well known. This is due to the fact that these are mostly ritual incantations, the interpretation of which cannot be separated from the study of the respective ritual traditions and religious worldviews. In addition, there is no such thing as a uniform Luwian religion, but individual incantations rather reflect local traditions and discourse patterns of individual parts of Anatolia and northern Syria. The key to their understanding is comparing Luwian religious texts with similar compositions in other languages coming from the same areas. The first aim of the Luwili project consists in publishing all the Luwian religious texts in cuneiform transmission that still remain without translation. According to the current consensus, these texts stem from the Hittite capital Hattusa itself as well as the areas known as Lower Land and Kizzuwatna in Hittite sources. The research methodology of the project consists in the systematic comparison of religious formulae attested in various languages but coming from the same microareas, with the goal of elucidating the structure of Luwian texts. Thanks to this philological inquiry, the Luwili project will try to determine the modalities of Luwian religious discourse through a detailed analysis of its communication strategies. This research will contribute to two different scientific fields at the same time. First, it will help the scholarly community to understand better the Luwian language, which will be useful to both Hittitologists and Indo-Europeanists. Second, it will contribute in a significant way to the history of religions, as it will facilitate scholarly access to a new corpus of religious texts and provide a thorough analysis of the religious discourse associated with this corpus. The second aim of the proposed research program consists in studying Luwian religious discourse from the comparative and anthropological perspectives in order to define the cultural and linguistic specificities of each Luwian religious tradition of Anatolia and Syria. For doing so, all the project members will gather around a conference that will be held in the end of the second year of the project, exchanging views on the ways Luwian religious discourse interacted with that of the neighbouring languages. The results of the Luwili project will be a commented edition of Luwian cuneiform texts and proceedings of the year two conference, published as two separate volumes. The edition of the Luwian texts will also be published as an open source in the Hethitologie Portal Mainz website.

Brain-computer interfaces (BCIs) enable users to interact with the environment using their brain activity alone, i.e., without any movement. Current technology developments suggest a large range of possible applications for BCIs, both in the clinical (e.g., control of smart wheelchairs, stroke rehabilitation) and in the non-clinical (e.g., video-games, home control) domains. Despite this potential, and the increasing number of BCI start-ups, BCIs remain barely used outside laboratories due, at least in part, to their lack of reliability and usability. The latter is in turn due to i) a low signal/noise ratio of the recorded brain activities (the sensors being of limited quality), ii) signal processing algorithms that cannot always extract relevant and reliable information from this brain activity due to high within- and between-subject variability in the signals, and iii) user training procedures that are often long and tedious. A lot of resources have been, and are still devoted to overcoming these challenges, which has enabled substantial progress the last years. Nonetheless, both human and machine learning performances remain modest. Their improvement requires data bases far larger than the ones that are currently available in order to understand and model within- and between-subject variability, and then to adapt artificial intelligence algorithms and user training procedures accordingly. Collecting such data bases itself requires an interdisciplinary and international collaboration: it cannot be done by a single lab. This is the reason why we have gathered a large European consortium (20+ labs, 30+ researchers). This consortium is a unique opportunity to provide an international, interdisciplinary and intersectoral training program that will enable the emergence of the next generation of BCI specialists. At present, such a program does not exist, most of the PhD students being trained in a unique and disciplinary lab. Yet, to emerge, BCIs require experts who are able to speak with each other and to understand the all the challenges associated with BCIs, be they related to different disciplines (neuroscience, psychology, engineering, artificial intelligence, ehics, ...) or to different sectors (fundamental research, clinics, industry, ...). With our consortium, we will train a PhD student network from both the theoretical and experimental standpoints. We will provide a common core curriculum to help them apprehending the different aspects of the field, as well as specialy courses that will enable them to acquire high quality skills corresponding to their carreer plan. They will apply their skills by contributing to the data collection for the open database and then use the latter to innovate through different research projects. This innovation will result in drastically improved efficiency and usability of BCIs, and will favour their democratisation, through the improvement of hardware (brain activity measures), software (signal processing) and user training. Regular meetings between the researchers, clinicians, industrials and PhD students wille create an emulation in the consortium. The PhD students will also follow training sessions specifically on ethics, open science, communication and scientific outreach. Through this approach, we aim to train a generation of specialists able to fully understand the challenges associated with BCIs (be they scientific, technical or societal), open-minded, honest and transparent in their use/development of neurotechnologies, and having a wide range of professional integration possibilities.