Sweet Crosstalk is a multidisciplinary European Training Network built to address the challenge of understanding, at a molecular level, how glycans are involved at the human mucosa–microbiota interface, and how this correlates with human well-being. Research into the human microbiome has reshaped the paradigm of our health and disease. In order to advance further, the time has arrived to understand it at a molecular level. Glycans dominate the microbiota-host interface and are thus ideally positioned to modulate these complex interactions. The research strategy of the Sweet Crosstalk programme focuses on optimal synergy between chemistry and biology. Smart chemistry drives the research to get a molecular-level grip on the role of these glycocodes and their interacting proteins, and advances in biology directs the research. The high quality and credibility of our consortium is ensured by a strong private-public partnership with complementary expertise ranging from chemical synthesis, biochemistry, structural biology to microbiology and cell biology. Our 7 academic groups are all renowned leaders in the glycoscience and microbiome fields, whereas the complementary 4 SMEs are specialized in glycan-based diagnostics and prophylactic therapies. This unique combination of scientific excellence and industry know-how covers the entire process from obtaining fundamental insight to the development of innovative early diagnostics and glycotherapeutics. Sweet Crosstalk also represents a unique research platform to train 15 outstanding Early Stage Researchers to be the new generation of innovative scientists with expert knowledge and skills in interdisciplinary glycoscience and human microbiome research. Our international, intersectoral and interdisciplinary training programme will equip them with the necessary scientific and transferable skills that will make them highly competitive for both top European research institutions and the healthcare/biotech job market.

This project aims at developing formal methods based on logics and game theory to model, specify and analyse multi-agent systems (MAS). Such systems, in which autonomous agents interact and strategize to achieve private and/or common objectives, are central in many endeavours of high potential societal impact, such as the development of smart cities or robotic rescue teams for nuclear accidents. Because of the criticality of many application areas, there has been over the recent years an important and rising effort to bring together the formal methods community and the MAS community in order to develop theoretical paradigms and practical tools to help design provably correct multi-agent systems. The logical approach has until now been particularly successful. The most recent and promising proposal was made by Chatterjee, Henzinger and Piterman, who in 2010 introduced Strategy Logic, a logic tailored to reason about rich game-theoretic notions in multi-agent systems. This logic enjoys very interesting properties and has been well studied, but much remains to be done. In most real-life applications, agents only have imperfect information about their environment. Typically, rescue robots each have only a local, partial view of their environment. Their sensors may even get damaged during the mission, due to radiations for example. Considering imperfect information deeply impacts the strategizing process, and it also calls for a modelling of agents' uncertainty. In this project we propose to extend Strategy Logic to account for imperfect information and to allow for reasoning about agents' knowledge.

In Europe, and globally, substantial numbers of young people are at risk of social exclusion, and there is therefore a pressing need to develop more knowledge and innovation to create more inclusive and youth-friendly societies. Citizen social science might contribute to these needs, but the actual outcomes of citizen social science and its innovative potential is uncertain. YOUCOUNT will therefore, through cocreative youth citizen social science (Y-CSS) including youths in the age of 15- 29 years as citizen scientists, produce new knowledge of positive drivers for social inclusion of youth at risk of exclusion, and cocreate innovations and policy-making. Moreover, to provide evidence of the actual outcomes of Y-CSS through hands on citizen science activities. The project includes four substudies: 1) Development of a framework for Y-CSS together with a transdisciplinary consortium and multilevel platform of key experts and stakeholders in a European and international setting. 2) Implementation of a multiple case study of Y-CSS projects in nine countries across Europe where over 900 young citizen scientists and nine local living labs will cocreate innovations together. 3) Mixed-methods evaluation of the outcomes and impact of the Y-CSS activities, and a multi-criteria assessment of the costs and benefits of Y-CSS, and 4) Creation of social and scientific impact through widespread scaling up and continuity. These activities will lead to robust knowledge and scientifically reasoned measures to promote Y-CSS and social change. The project will support dissemination and education in Y- CSS, and make synergies with other CS related projects and initiatives, in particularly with citizen social science.