Dragon09/odtu_chatbot huggingface dataset:
moving russians intergenerational transmission of memories abroad and at home

children of migrants are exposed to two national histories those told in their country of residence and those relating to their familys homeland however it remains unclear how the intergenerational transmission of historical views shapes the relationship migrants cultivate with here and there applying theories of intergenerational transmission and secondgeneration transnationalism movemeru addresses this urgent gap and compares the historical memories of migrants and nonmigrants across two generations it studies the russian migrant population in a favourable hostile and neutral reception context looking at germany estonia and canada like many other autocracies russia uses historical memories to appeal to the emotions of citizens at home and abroad and strengthen their sense of belonging to russiathe project will make major academic contributions in three areas 1 understanding the historical identification of young adults in migrant and nonmigrant families with their parents country of origin 2 identifying when the memories of migrant and nonmigrant families converge or diverge across generations 3 determining what historical memories contribute to solidarity and pluralistic political attitudesmovemeru entails a groundbreaking triangulation of methods 1 parentchild opinion surveys on views on history among migrant communities and nationals in the three countries of destination and russia 2 crossgenerational focus groups in the same countries 3 analysis of historical narratives in media targeting russian speakers abroadthe project will refine our understanding of differences and similarities in the intergenerational transmission of memories in migrant and nonmigrant families offering important insights into the drivers of and obstacles to integration the results have major implications for political decisionmaking in countries of destination and for public awareness about intergenerational shifts within migrant communities
care circular consumption activities to transform households toward material efficiency

care aims to empower consumercitizens in european households in the transition to a circular economy ce the objective of care is to transform a total of 100 households in five european countries finland norway sweden germany and estonia to circular model households to achieve its aim care will further develop test and validate two pilots related to two critical material flows food and clothing they both have high potential for circularity at the household level the care pilots will be implemented in five regions both urban and rural that are part of the circular cities and regions initiative ccri tampere asker gothenburg berlin and lneharju the pilots are based on the practicetheoretical approach which goes beyond stateoftheart by focusing on holistic social and material aspects of everyday life instead of individualistic and awarenessraising interventions the pilots will contain both customized inclusive and costfree circular advisory services as well as food and clothing related interventions that target changes in consumption practices impact assessment is a key part of the project that includes improvement in material efficiency living conditions and sustainable wellbeing the effectiveness of the pilots for reducing environmental impacts will be calculated using life cycle assessment especially the product environmental footprint method care will make a strong contribution towards accelerating fair inclusive and sustainable consumerbased transition to ce this is achieved by involving consumercitizens nongovernmental and civil society organizations municipalities researchers and ccri regions in a transdisciplinary approach based on codesign and colearning furthermore care will ensure the replicability and multiplication of its results through easytouse communication and dissemination tools in collaboration with ccri and other european circular economy initiatives
phabased innovative agricultural solutions to deliver biobased fertilisers and plant protection products

agrochemicals ie fertilizers and pesticides are responsible for doubling crop yields over the last century however they cause multiple negative impacts on environmental and human health to lessen their effects the eu aims at reducing by 50 fertilizer losses and use of chemical pesticides by 2030controlled polymerbased delivery systems preventing agrochemical losses eg lixiviation volatilization and resulting excessive inputs are available however they are based on nonbiodegradable polymers and generate plastic pollutionother agricultural plastics mulch films and growth foams are used to maintain a prosperous plant environment and prevent agrochemical washoff minimizing the quantities to be applied however they also result in significant amounts of nonbiodegradable plastics being released into environmentphantastic tackles the reduction of agrochemicals and plastics pollution using phas a family of biobased biodegradable polymers phantastic will develop two families of delivery systems mulch films and growth foams based on phas containing active bioproducts amino acids hydrolyzed proteins microelements elicitors and plant growth promoting rhizobacteria pgpr instead of synthetic agrochemicals products will be demonstrated with end users trl6 on horticultural crops and trees in northern and southern europe experts in the safe and sustainable by design framework will guarantee compliance market acceptance will be guaranteed through the development of business cases and exploitation strategiesphantastic will contribute to a significant reduction of agrochemicals minimum 25 in fertilizers 50 in pesticides resulting in 23 k tons less of agrochemicals by 2050 and plastic 680 t microplastics less by 2050 in our agricultural systems phantastic will thus contribute to a secure supply chain of food and a less impactful agriculture boosting the sustainability autonomy and competitiveness of vital eu value chains
advancing cooperation on the foundations of law

there are significant disparities between eu and noneu higher education institutions in terms of administrative and institutional capacity to successfully carry out the main task of legal education and research individual efforts and academic achievements of scholars from this part of europe are usually not accompanied by the appropriate administrative and institutional structures this situation makes it difficult for these institutions and their staff fully develop their capabilities in both academic research and legal education alf aims to help the faculty of law of the university of belgrade bgl a widening country institution to become a widely known and soughtafter topclass european research institution by raising its academic research profile and by strengthening its research management and administrative capabilities to this end alf will provide a thorough and comprehensive threeyear transfer of academic and administrative foundational knowledge from three leading institutions at eu level the university of genoa the university of surrey and the instituto de ciencias juridico politicas da faculdade de direito da universidade de lisbon alf fulfils five objectives of the horizon twinning action a it enhances the excellence capacities and resources of the bgl thus closing the still evident research and innovation gap within europe
new latestage functionalization reagents for the construction of chiral centers to impact drug discoveryhis her

latestage functionalization lsf is a rapidly expanding field in molecular synthesis with the major goal of quickly accessing to derivatives that would be too challenging or timeconsuming to prepare otherwise hence this strategy has a great potential to impact drug discovery processes by speeding up the hittolead optimization at present more than twothirds of prescription drugs contain at least one chiral center however the latestage introduction of this structural motif using aromatic ch bonds is an enduring challenge in synthesis the goal of the nakedc project is to develop a new methodology for the construction of chiral centers in drug molecules relying on the design and synthesis of a novel class of atomic carbon precursors that upon successive and appropriate activations would allow to build tailored asymmetric carbons to achieve this goal a new visiblelight photoredox catalytic diazomethylation of aromatic ch bonds will be developed the collaboration with an industrial partner secondment at aicuris will allow the application of this novel strategy to drug discovery in the search of effective antibiotics thus merging multidisciplinary aspects with intersectoral knowledge transfer the result will be a brandnew assembly point for the construction of chiral centers in bioactive compounds with the potential to become a latestage diversitygenerating synthetic platform for drug discovery programs the proposal merges the host expertise in novel ch functionalization strategies based on photocatalysis and the researchers background in classical radical chemistry metalmediated synthesis and pharmacology ensuring the twoway transfer of knowledge between the fellow and the host group successful development of nakedc will enhance the scientific and transferable skills of the researcher while forthcoming to the fellows professional goal of pursuing an independent research career in academia in synthetic organic chemistry
unmannedpowertomethanolproduction

it is a great challenge to upgrade decentralized co2 pointsources to production sites for renewable fuels these co2 sources can be related for example to production of biogas in anaerobic digestion plantsuptome targets a groundbreaking change in decentralized powertomethanol production for hard to electrify applications like marine vessels the potential of producing renewable methanol only by utilizing the co2 content of biogas in europe is 128 mta uptome concept is based on a hybrid process which combines the capture of co2 with the synthesis to methanol in a fully autonomous unmanned plant the process comprises 3dprinted reactors and column packings designed using highly advanced computational fluid dynamics the fully automated selflearning and selfoptimizing control system allows production at fluctuating conditions by combining dynamical plant models and artificial intelligence the aim of uptome to provide selfoptimizing control even for offgridoperation is very challenging and to our knowledge has not yet been achieved anywhere for comparable plants the ability of a remote plant to adapt itself to varying boundary conditions such as availability of renewable energies eg from weather forecasts or on the availability of co2 from a fluctuating source open unforeseen possibilities for distributed production currently socalled blue methanol originating from natural gas is used in limited cases as a marine fuel however the quality requirements of a renewable marine methanol fuel especially considering water content organic and sulfur impurities originating from p2x production are not known uptome will assess experimentally the suitability of the produced fuel on a marine type of engine and provide ranges for fuel specifications and max limits for impurities for this to become a sustainable marine fuel
strategies for achieving equity and inclusion in education training and learning in democratic europe

stride will provide a new comprehensive and comparative knowledgebase on effective education reforms policy initiatives and interventions aimed at reducing inequalities in education training and learning outcomes in europe stride will do this through analyses of education reforms in national and regional systems existing largescale educational assessment data and existing longitudinal data on the causal link between educational and other social policies and inequalities in educational achievements in examining the learning progress of students over time stride will closely examine to the range of intersectional variables such as socioeconomic background gender disabilities migration status home language early childhood education and care ecec attendance which may affect learning outcomes in different ways in different contexts the project will combine diverse methods data and disciplines comparative education political science education science sociology in innovative ways mapping at national and regional levels on 1 education reforms in the past 25 years by policy analysis 2 longitudinal trends of inequalities in educational achievement by quasiexperiment analysis of existing largescale educational assessment data and 3 effect of education reforms and interventions by analysis existing longitudinal data and registry data following student cohorts over time combined with a qualitative inquiry into policymakers perspective through the involvement of national and european stakeholders stride will develop methodology and assessment tools for policy learning offering policymakers a toolbox of enhanced knowledge of what shapes educational outcomes over time and demonstrating the usefulness of longitudinal data in policymaking to reduce educational inequalities in the short medium and long term
sustainability transition assessment rules for biobased systems

star4bbs is a threeyear multidisciplinary and multiactor collaborative project involving seven partners three associated partners and one linked third party the overall aim of star4bbs is to maximize the potential of sustainability certification schemes scs and labels to support a successful transition to sustainable biobased economy at the core of the star4bbs project is the development of indicators and a new monitoring system for assessing the effectiveness and robustness of existing international and eu scs b2b labels and related traceability systems applicable to biological feedstock and biobased materials and products this information will create the foundations to support achieving the much needed harmonization between schemes and transparency in global and eu trade flows through the developed new monitoring system existing scs and labels will be analyzed and the results as well as additional research on certified and uncertified trade flows and on the impacts and costs and benefits of certification and labels will substantially increase understanding of the potential of these schemes to contribute to policy and industry sustainability goals and will build awareness of the differences between the schemes the project will involve important stakeholders including scheme owners policy makers and industry in the design of research and the monitoring system and in the development of practical recommendations emerging from the research and analysis in order to ensure that the project achieves its ultimate goal in particular an increased uptake of the most effective scs and labels by the biobased industry will support the development of circular climateneutral sustainable biobased systems that will mitigate climate change increase resource efficiency preserve and restore ecosystems biodiversity natural resources and the quality of air water and soil
linking ukraine to the european research area joint funding and capacity building platform for enhanced research and innovation cooperation

luke is an initiative of several eu member states and countries associated to horizon europe aiming to establish a multilateral funding and capacity building platform focusing on ukraine its key objectives are to implement a joint call and fund transnational research and innovation ri projects with ukrainian participation as well as to enhance ukraines ri capacities a modern efficient and transparent science and innovation system is crucial for ukraines postwar recovery and economic prosperity sharing best practices pooling resources and transferring knowledge can significantly contribute to unlocking ukraines scientific potential improving the framework conditions for research and innovation and integrating the country more closely into the european research area erathe luke network comprises a group of funding parties and the project consortium responsible for accompanying activities the overall coordination and management are conducted by a call secretariat altogether 19 organisations from 13 countries have already confirmed their willingness to participate as funders within the network austria the czech republic estonia finland germany latvia poland romania switzerland ukraine itself as well as the eu accession candidates georgia republic of moldova and türkiye additional funding agencies have expressed interest in joining and may be included in the group of funding parties once the joint call has been finalized the project consortium includes nine organisations amongst them the german aerospace center dlr as coordinator the national research foundation of ukraine including the horizon office and science council centre for social innovation austria danish board of technology dbt and university of daugavpils latvia
humancompatible artificial intelligence with guarantees

in this proposal we address the matter of transparency and explainability of ai using approaches inspired by control theory notably we consider a comprehensive and flexible certification of properties of ai pipelines certain closedloops and more complicated interconnections at one extreme one could consider risk averse a priori guarantees via hard constraints on certain bias measures in the training process at the other extreme one could consider nuanced communication of the exact tradeoffs involved in ai pipeline choices and their effect on industrial and bias outcomes post hoc both extremes offer little in terms of optimizing the pipeline and inflexibility in explaining the pipelines fairnessrelated qualities seeking the middleground we suggest a priori certification of fairnessrelated qualities in ai pipelines via modular compositions of preprocessing training inference and postprocessing steps with certain properties furthermore we present an extensive programme in explainability of fairnessrelated qualities we seek to inform both the developer and the user thoroughly in regards to the possible algorithmic choices and their expected effects overall this will effectively support the development of ai pipelines with guaranteed levels of performance explained clearly three use cases in human resources automation financial technology and advertising will be used to assess the effectiveness of our approaches
trusted lifetime in operation for a circular economy

climate change co2 footprint energy transition safety security as well as sovereignty are key issues that the common population can very well relate to today as we face critical challenges research and development in our ecs domain needs to address them more than ever in particular the energy transition needs to be accelerated in order to become more independent from gas and oil energy which was considered being available at low costs and without limits until recently this assumption has been proven to be based on very fragile grounds and it has come to an end one solution to accelerate the energy transition is to use all generated energy this means that overflow energy produced in wind or solar parks needs to be available in periods when common energy generation is lacking this requires important investments into infrastructure which will only flow if investors trust into the technologies enabling solutions the faster the trust is built the faster the transition can be realizedon the other hand technologies and products that will ensure an economic use of resources and enable long and trusted lifetime of systems and components in the ecs domain have to be developed archimedes contributes to this in the domains of automotive aviation and industry in archimedes components models and methodologies to increase the efficiency and lifetime of the propulsion components power components and energy storage devices in automotive aviation and industry will be developed this will support the energy transition on the consumers side in order to support this mission archimedes aims to change technologies and products in the automotive aviation infrastructure domains and the related ecosystem towards a resilient decarbonized digitalized and green eu it will help building trust in the new technologies and thus contribute to accelerating the energy transition safety and security
timevarying nonhermitian metamaterials for microvibration isolation

precision instruments with high performances are highly demanded by both fundamental science and wide applications at different scales microvibration isolation technology is widely required in order to avoid potential damage of functions the current vibration control technology mainly includes passive and active control however it remains limits in control accuracy and bulk size which requires to explore new physical mechanisms recently nonhermitian system and spatiotemporal modulation show great potential in wave control for anomalous properties and provide a promising avenue to address the microvibration isolation challenges non hermitian parameters and timevarying modulation can play additional degrees of freedom to enrich elastic wavestructure interactions this project focuses on elastic wave propagation in nonhermitian elastic beamsplates with timevarying modulation for microvibration isolation the project will first conduct an indepth study on the modeling of timevarying nonhermitian unit and explore the mechanism of wave isolation with single unit then study the wave isolation mechanisms from exceptional point with double units and broaden the wave isolation band with multiple units finally ondemand inverse design will be developed and experimental validation will be implemented the proposed timevarying nonhermitian elastic systems will guide a new direction for the next generation microvibration isolation technology
a new bayesian foundation for psychometric network modelling

network modelling is quickly gaining ground as a promising way to understand psychological phenomena the rise of network analysis can be observed throughout the psychological sciences but has been particularly influential in psychopathology while the network modelling literature has been rapidly expanding methodological innovations struggle to keep pace reviews taking stock of the field invariably zoom in on the methodological challenges that network research faces the absence of a confirmatory scheme the replicability of network results and the struggle with population heterogeneity rank firmly among the fields top priorities these methodological challenges critically impede our understanding of psychological phenomena and the design of effective interventions this proposal outlines a new research program for psychological network modelling that addresses current methodological challenges based on the basic principles of bayesian inference i develop a new confirmatory network methodology that uses modelaveraging to deliver robust replicable network results the new modelaveraging approach will be designed for an exhaustive collection of network models and for crosssectional and longitudinal applications i will develop new models that are urgently neededbut missing from the current set of networksand advance solutions for modelling heterogeneous psychological data to complete the new program the proposed work puts psychological network modelling on a firm methodological foundation to boost the projects impact the new methods and models are made available in jasp jaspstatsorg a userfriendly free statistical software package that i codeveloped armed with an exhaustive set of network models a confirmatory methodology that delivers replicable results and their implementation in opensource software applied researchers can leverage the full potential of psychological network modelling