Dragon09/odtu_chatbot huggingface dataset:
biobased energyefficient materials and structures for tomorrow

the construction sector is one of the most energy intensive and rawmaterial demanding human activities and hence it is considered to contribute to a significant share of greenhouse gas in the atmosphere therefore making the construction sector greener is one of the main challenges for policy makers involved companies and the scientific community therefore the biobased energyefficient materials and structures for tomorrow best project aims at investigating the potential of biobased composites to realise innovative materials and elements characterised by both energy efficiency and structural capabilities the best project proposal will deal with the following biobased materials i fibres and fabrics of vegetal origin such as fibres obtained from leaves or stems of tropical plants as well as fabrics made out of such fibres ii bio aggregates obtained from waste and residuals of agricultural activities iii selfhealing agents for concrete and other cementbased composites iv supplementary cementitious materials obtained by incinerating organic waste therefore the materials and composites considered in this project proposal are supposed to have potential to tackle the main challenges for the constructions of tomorrow facing climate change phenomena by promoting circular economy practices reducing the amount of raw materials requested by the construction sector contributing to the development of local economies by means of recycling locallyavailable waste in response to global challenge the best project foreseen a comprehensive methodological approach including both experimental activities and theoretical modelling as it is intended at both advancing the fundamental knowledge in one of the emerging research topics in the field of construction and building materials and paving the way toward the marked uptake
strategic health initiatives for effective disease prevention

the prevalence of noncommunicable diseases is forcing countries to consider different initiatives aimed at reducing the burden and impact of these diseasesin this sense shield pioneers an innovative approach to preventing cardiovascular diseases cvd and diabetes at all stages of disease and considering the strong relationship among them utilizing advanced ai shield offers personalized interventions following a hierarchical model based on patients risk profiles these profiles are continuously assessed through risk stratification and disease progression tools leading to low moderate and highrisk layers each requiring distinct prevention strategies from halting disease progression to preventing relapse and complicationsinitial risk assessment will include genetics demographics socioeconomic status environment behavior and medical conditions using datasets like share or elsa and retrospective hospital data 4500 patients laterstage disease analysis will also entail polypharmacy treatment adherence wearables psychosocial factors proms and prems allowing for individualized interventions and realtime alerts for professionals through the shield dashboard shield also prioritizes the quality and security of these data creating a standardized data homogenization model and federated learning approach to keep sensitive data locally transparency is provided through explainable ml toolsinterventions are accessible via mobile apps providing resources recommendations education and local services optimization algorithms enhance user engagement and a chatbot trained on patient data offers continuous support with professional oversightshield will be validated in 3 pilots involving more than 2300 individuals along 2 years the aim is to get knowledge on the costeffectiveness and efficacy of the prevention strategy proposed by shield and to get insights for effective primary prevention pathways with populationwide impact
preparing the research innovation core for mission ocean seas waters

mission ocean seas and water aims at restoring the health of our ocean and waters by 2030 as a major contributor to the european green deal and the sustainable development goals research and innovation will be a key component of the mission which will link initiatives across disciplines mobilise policymakers stakeholders and citizens and leverage public and private investments prep4blue overarching objective is to facilitate a successful first phase 20222025 of the mission by developing the cocreation and coimplementation ri modalities required to achieve the mission objectives and preparing the ground for inspiring and engaging citizens and stakeholdersthe project is designed to deliver a series of tools guidelines methodologies and recommendations tested through pilots which will interlink leverage and optimise activities among the projects funded under the mission our systemic approach will foster cohesion and connectivity between knowledge and technology funding regulation education and skills social structures and cocreation with ri actors citizens and stakeholdersprep4blue multidisciplinary and multiactor consortium is actively engaged in basinbased strategies and related ri activities with strong experience in codeveloping business models and recommendations for policymakers expertise in social sciences related to participative democracy and citizen engagement and excellent trackrecord in methodologies for knowledge management and transfer as well as in stakeholder engagementprep4blue will also carry out strategic actions to assure the alignment of our csa with the evolution of the mission components including the mission core network other contributors to the mission and other missions our project will contribute to preparedness and engagement of all relevant stakeholders to empower them to play an active role in the mission
spatiotemporal reconstruction of interacting people for perceiving systems

people constantly interact with objects to perform tasks to help people accomplish these computers need to perceive humanobject interactions hoi and for this they need to reconstruct hoi from wholebody color images of people interacting with objects or scenes this is challenging due to the occlusions between bodies and objects motion blur depth ambiguities and the low image resolution of hands and graspable object parts there has been significant prior work on estimating 3d humans without considering objects and estimating 3d objects without considering humans little prior work estimates these jointly but for tractability focuses either on interacting hands ignoring the body or on interacting bodies ignoring hands only recent work addresses dexterous interaction of whole bodies but instruments bodies with intrusive markers or sensors and uses nonstandard cameras to capture video of interactions moreover reconstruction lacks hand detail that is crucial for grasping and videos are captured in constrained settings consequently methods trained on these struggle generalizing my goal is to infer hoi from natural wholebody imagesvideos to this end i present an ambitious 5year research agenda with novelties in four directions 1 developing strong generative 3d shape models for objects and humans for a novel hoi representation 2 developing methods that estimate 3d hoi from a color image with rich contact and proximal awareness 3 instilling spatiotemporal reasoning into the heart of these for estimating 4d hoi from color video and 4 extending these methods to also infer their own confidence that will be correlated with the reconstruction quality the outcome will be novel and robust methods for hoi reconstruction from natural imagesvideos this will fill an important gap enabling future intelligent systems to amplify peoples skills and help them accomplish tasks eg for assistive robots or virtual 3d assistants or trainers
harnessing the giant orbital hall effect for mutual synchronization in nanooscillators

since its initial prediction the spin hall effect she has played a major role in spintronics thanks to its intriguing physics and tremendous potential for applications via the spin currents generated from charge currents in the last few years another phenomenon the socalled orbital hall effect ohe has also emerged the ohe is the generation of pure orbital currents from the charge current ushering in the era of orbitronics the magnitude of the ohe is predicted to be 12 orders higher than the she and therefore it is imperative to harness it for the development of spintronic devices eg to use it to excite autooscillations at microwave frequencies therefore the giant orbital hall effect gohe project aims at using the ohe instead of the she in spintronic nanooscillators to create a paradigm shift in the designing of nextgeneration orbitronicsbased devices here i propose a systematic study of different combinations of nonmagnetic nmheavy metal hmferromagnetic fm based heterostructures to harness the ohe and utilize it for the mutual synchronization of the worlds first orbital hall nanooscillators ohnos to serve as a bridge to the already known capacity of spin hall nanooscillators shnos by the host group moreover in this project i aim to reliably elucidate the explicit contribution of bulk and interfacial ohe in analogy with its counterpart she i will also study and unravel the fundamental mechanism ohe by disentangling the intrinsic and extrinsic contribution of scattering from impurities in host and develop its background in line with she
a powers ontology for causal models

multiple causal modelling techniques are employed in the applied sciences for instance structural equations models sems are employed in genetics econometrics and psychology fault tree analyses ftas are employed in aerospace and nuclear engineering petri nets are used in traffic control and integrated computational systems each technique has a unique way of representing causal phenomena drawing on different data and background information but what is it about the world that allows each of these techniques to work and what makes each technique a representation of causal phenomena specifically pocam will break new ground answering these questions by determining a single underlying causal ontology within the powers metaphysics framework in doing so pocam will provide an explanation of why such varied causal modelling practices are so successful thereby helping practitioners better conceptualise the connections among different modelling formalisms and with our prescientific understanding of causation in everyday life while there have been attempts to determine an underlying ontology for sems there has yet to be any philosophical engagement with ftas or petri nets despite their pervasiveness in science moreover current ontologies for causal models in metaphysics fail to be adequately reductive preventing them from being truly explanatory pocam will therefore be pioneering in its attempt to provide a single reductive ontology of all three modelling techniques to do so pocam will draw on the scientific credentials of the powers metaphysics framework the nature of powers and their role in causation is increasingly well understood but has yet to be brought into sustained theoretical engagement with the casual modelling literature dr friends unique expertise as a philosopher of science and trained engineer will enable him aided by expert scientific advice and supervision to carry out this interdisciplinary research
macroeconomic policies for productivity growth

rapid advances in artificial intelligence and renewable energy technologies may boost productivity growth over the coming years but also cause a disruptive reallocation of economic activity among workers firms sectors and countries how should monetary and fiscal policies be designed to ensure that these new technologies deliver productivity improvements and widespread welfare gains in this proposal i will address this fundamental question by developing a keynesian growth framework ie a unified theory of business cycles and growth in which macroeconomic policies traditionally associated with aggregate demand management such as monetary and cyclical fiscal policies affect firms investment in new technologies and productivity in part i i will develop a novel keynesian growth model with multiple alternative technologies eg human labor vs artificial intelligence dirty vs clean energy and realistic heterogeneity among households firms and sectors the framework will shed light on the tradeoffs faced by central banks during the energy transition on the macroeconomic policies needed to prevent the spread of artificial intelligence from causing technological unemployment and on the macroeconomic management of the sectoral reallocation process driven by accelerations in technological changein part ii i will provide an open economy keynesian growth model to study the interactions between capital flows productivity growth and macroeconomic policies i will use the framework to explain why the inception of the euro has fostered capital mobility but not yet productivity convergence among member countries to explore the impact of us monetary and fiscal policies on international value chains and global productivity and to investigate the dual role played by the united states as center of the international monetary and technological systems
understanding and designing inorganic materials properties based on two and multicenter bonds

a major challenge for the green transition is our inability to rationally design inorganic materials with tailormade properties this project will tackle this inability by transforming our understanding of chemical bonding in inorganic materialsunderstandable rules based on chemical bonds have greatly advanced chemistry but are missing for most material properties severely limiting the rational design of materials until recently quantum chemical bonding analysis of inorganic materials has only been carried out on a small scale making it impossible to derive such rules using machine learning in addition quantum chemical bonding analysis primarily focuses on twocenter bonds however multicenter bonds play a critical role in material properties for example multicenter bonds have been held responsible for the superhardness of boroncontaining compounds and the unusual properties of phasechange materials by significantly going beyond my recent results on twocenter bonds predicting materials properties with simple machinelearning models i propose to overcome these challenges the overarching objective of multibonds is to derive understandable and universal rules based on chemical bonds for inorganic materials properties through largescale quantumchemical bonding analysis considering multicenter bonds we will 1 develop and apply innovative automated quantumchemical methods to compute for the first time multicenter bonding indicators on a large scale the generated database will then be used for 2 developing novel predictive deeplearning models and 3 intuitive humanunderstandable rules for materials properties as initial applications we will focus on phasechange materials with low thermal conductivities magnetic and hard materials since their properties are known to be governed by multicenter bonds and they have critical applications eg as thermoelectrics and in the green transition of vehicles
frustrated systems with lowdimensional magnetism for magnetic refrigeration and hydrogen liquefaction

carbonfree hydrogen represents one of the pillars of global energy transformation however higher efficiency within the hydrogen supply chain including liquefaction is the crucial prerequisite to reduce its cost and trigger its wider use magnetic refrigeration which utilizes the magnetocaloric effect promises to double the efficiency of hydrogen liquefaction compared to gascompression cryocooling but the technologies available at present mostly employ magnetocaloric materials containing strategically important rareearth re metals and expensive superconducting magnets we propose to search for suitable refree materials within an emerging class of magnetocalorics based on frustrated magnets which are especially suitable for cooling at cryogenic temperatures according to theoretical predictions and pioneering studies these materials offer high effectivity in permanent magnets higher cooling rates and a larger temperature span than nonfrustrated systems the refree frustrated magnetocalorics have been little prospected so far to achieve the limits of their efficiency the project aims to 1 synthesize novel refree frustrated magnets with lowdimensional magnetic motifs and to enhance their magnetocaloric performance at cryogenic temperatures by suitable chemical modification while 2 exploring correlations between the magnetocaloric effect local atomic and magnetic structure and magnetic fluctuations the synthesis of novel compounds will be followed by magnetometry and calorimetry while local information will be extracted from mössbauer spectroscopy and neutron methods theoretical calculations will complement the experiment the fellow and the host will combine their fields of expertise the lowtemperature physics and solidstate chemistry to elucidate the phenomena behind the magnetocaloric effect in frustrated systems and ultimately to design efficient magnetocalorics that beat the present obstacles
do ai generated outputs have contents

this project asks do the outputs of machine learning neural net ai systems henceforth ai systems have contents ie do they have meanings express propositions or represent objects of the world it approaches this larger question by dividing it up into three smaller closely aligned questions a are mental capacities necessary for producing outputs with content b what does it take for an entity to have those capacities and c do ai systems have those capacities these foundational questions underpin and support several further investigations concerning the potential and threats of ai systems including their role in spreading propaganda disinformation and fake news and the question of whether ai systems can develop their own language the projects main innovation is its humanistic approach its investigations are guided by the hypothesis that any philosophically interesting notion of content must be comprehensible and apply to human speech images and artefacts the project combines the expertise of the experienced researcher er on the semantics of natural language expressions with the current research of the supervisor matti eklund on alien languages ie languages semantically and structurally different from human languages the project will greatly enhance the ers career prospects because of the training and mentorship that the er will receive as part of the project and because of the close synergy between the ers research focus the supervisors internationally renowned expertise on semantics and metaphysics and the host organisations uppsala university strengths in pragmatics artificial intelligence and computational linguistics conversely the ers research will enrich and generate substantial added value for the host institution particularly in the research and academic work on metasemantics metaphysics and the theoretical and practical aspects of ai systems carried out at the host institution
innovative and inclusive democratic spaces for deliberation and participation

deliberative and participatory processes currently lack full legitimacy due to the exclusion and marginalisation of several vulnerable communities from democratic spaces idem will address this issue in the context of marginalisation and exclusion of people who need support to fully be able to read write and comprehend language around six million individuals in the eu and over 90 million people globally idem will lay the theoretical foundations for the analysis of current marginalisation from deliberative processes of diverse underrepresented groups due to language skills and propose implement and evaluate inclusive deliberative and participatory spaces it will adopt a usercentred approach for making participatory processes more accessible and inclusive developing advanced natural language processing technologies and artificial intelligence to empower underrepresented groups with tools to facilitate communication and dialog in democratic spaces idem will cocreate the nextgeneration multilingual models aimed at 1 detecting possible sources of problems in understanding messages and biases for several european languages and audiences 2 automatically adapting texts in those languages to be accessible and unbiased for these audiences 3 providing ai tools for enhancing the controllable generation of messages and discourses idem will innovate democratic spaces with customised usercentric technology enhancing the participation and representation of marginalised groups by providing unbiased and inclusive technology to do so idem will also build on the results of relevant past projects and seek collaboration with related projects and relevant centres for democracy in europe
advanced soils for the agritech rd

adsoils project aims to evaluate validate and develop artificial advanced soil technology for its commercial exploitation as a tool forscreening crops from belowgroundas part of the farm to fork strategy the european commission aims at reduced nutrient losses of at least 50 by 2030 whileensuring no deterioration in soil fertility this is expected to lead to a reduction in fertiliser use of at least 20 the breeding andagrochemical sectors are now seeking ways for crops to acquire water and nutrient more efficiently supplying seeds compounds andinoculum that reduce soil contamination and make crops more resilient to climate change assessing the effectiveness of suchstrategies is a major bottleneck because current screening technologies are destructive costly and time consumingwithin the erc consolidator grant 647857 sensoils an artificial soil that becomes transparent during watering has beensuccessfully developed this technology suited for small scale laboratory research has shown great potential enabling the discoveryof new forms of mobility by soil bacteria and mapping root induced chemical gradients at microscale resolutionadsoils project proposes to move a step further and to demonstrate that the adsoils solution can be fabricated and applied incommercial screens for the discovery of agrochemicals and genomic regions involved in water and nutrient use efficiency theproject will identify costeffective fabrication routes enabling a close mimic of natural soils and will produce a sufficient volume tovalidate the soil prototype with industrial endusers