Dragon09/odtu_chatbot huggingface dataset:
resilient climate financing and investment taskforces

urgent accelerated action is required to adapt to unavoidable and ongoing climate change climateresilient investments must be substantially scaled up public budgets will not be able to address the adaptation financing challenge alone financing from the private sector will also be necessary climatefit contributes to bridging the resilience financing gap by providing critical insight and building the capacities of public authorities pas to attract and orchestrate various public and private funding financing sources and of financing and investment entities fies to discover and access resilient investment opportunitiesclimatefit will experiment on a mix of 20 territories in southern eastern and northwestern europe in their transformational pathways towards climate resilience the journey will start by taking stock of funding financing barriers and enablers gathered in the financing landscape taxonomy climatefit will create an ingenious manual for leveraging finance to 1 codesign 20 innovative investment strategies allowing to identify sources of funding 2 develop 10 credible and scalable investment plans to help better negotiate and articulate financing streams and define investment concepts and 3 pilot 4 bankable tailored investment cases climatefit will build a pathway for fies to accelerate finance test refined methods to reward climateresilient investment and apply smart adaptation funding and financing solutions it will establish local resilience taskforces lrts composed of pas and fies that propose a catalytic and systemic approach to resilience financing led by wcf the highlevel consortium will build capacity cocreate solutions with pas and fies and inform eu adaptation and sustainable finance policies finally climatefit aims to boost resilience financing in europe by consolidating the dynamics in lrts and to promote and scale its research findings through the european network of lrts and its useroriented onestop shop
a new superconducting landscape using nanoscale inhomogeneity for enhanced superconductivity

superconductivity is a truly quantum mechanical phenomenon strongly dependent on the zeroenergy density of states dos this project aims to create and enhance superconductivity using nanoscale inhomogeneity to produce large dos peaks at zero energy thereby creating an entirely new spatial and figurative landscape for superconductivity one recent example is twisted bilayer graphene an allcarbon material that becomes superconducting due to a moir structure producing large zeroenergy dos peaks in this project we will establish superconductivity driven entirely by nanoscale inhomogeneity generating zeroenergy dos peaks including in moir structures we will also use zeroenergy dos peaks to create a superconducting phase crystal in many different superconductors generalizing findings from hightemperature cuprate superconductor surfaces in the project we will continue to develop our stateoftheart computational tools to selfconsistently study superconductivity in large inhomogeneous systems at the atomistic level
robust and dataefficient learning for industrial control

increasing energy and resource efficiency in industrial systems is key to decrease harmful emissions by 90 by 2050 reaching the environmental targets requires a holistic approach to how resources and energy are delivered to the industry by means of distribution networks such as heat networks electricity networks or gas transport networks i will devise new control strategies that ensure robust operation of distribution networks while ensuring safety and satisfaction of environmental objectivesthe environmental performance of the whole system hinges on the performance of distribution networks optimal control of such networks is complex due to timescales from milliseconds to ensure safe operation of pumps or generators to days or months to include environmental goals spatial complexity uncertainty related to varying operating conditions incomplete information available and limited computational power existing control frameworks are usually application specific and have limited use in largescale systems in the project i will advance theory in data analytics and optimisation and build on my industrial experience to develop operating strategies for distribution networks that will enable safe implementation and reaching the environmental targetsthere is a potential in integrating machine learning in control design to overcome the complexity while satisfying safety constraints as shown in robotics and automotive industry however ipcc indicated that the key challenge for making an assessment of the industry sector is the diversity in practices which results in uncertainty lack of comparability incompleteness and quality of data available in the public domain on process and technology specific energy use and costs the research question i will address in this project is if and how incorporating datadriven learning in design of control algorithms leads to improved environmental performance and safe operation of largescale industrial networks
multiphoton imaging with computational specificity

digital staining based on machine learning models can provide cellular specificity to labelfree optical imaging this concept is particularly interesting for in vivo applications in fundamental research of autoimmune diseases as well as for future clinical translations in this project mics multiphoton imaging with computational specificity i will develop and implement computational specificity for labelfree multiphoton microscopy mpm using artificial intelligence ai the direct outcome of this project will be two ai modules to perform i automated classification of mucosal inflammation based on 3d images from colon tissue and ii digital staining of unstained immune cells this integration of computational specificity to labelfree multiphoton microscopy will allow direct investigation of global tissue alteration as well as specific immune cell localization during inflammatory tissue remodelling digital staining is an emerging concept in the field of computational microscopy but has not yet been implemented for immune cells based on labelfree mpm images building on my previous expertise in labelfree in vivo imaging via endomicroscopy future implementations of multiphoton endomicroscopy would profit from tools for computational specificity developed during this project
remotesensing satellite data and the making of global climate in europe 1980s2000s

answers to how to manage the urgent climate crisis depend on perceptions of global climate knowing how they came to be is necessary to open up new possibilities about ways to face it climasat aims at establishing a truly comprehensive narrative that integrates various spheres of knowledge to understand how global climate discourses policies and practices came into being in the approximate 1980s2000s europeto do so climasat substantially places the production circulation and use of data generated with earthorbiting satellites at the centre of historical analysis indeed since the 1980s much of our scientific practical and political knowledge about global climate has been increasingly compiled with satellite data in a process of constitutive coproduction then processes of data production circulation and use may have played a role in knowledgemaking climasat identifies 5 interrelated spheres of knowledge involved in satellite data production circulation and use science and technology economy regulation communication and diplomacy it sets out the hypothesis that it was through their mutual intersections as they materialised in processes of data production circulation and use that certain perceptions and actions about global climate were collectively negotiated shared maintained and used it focuses the empirical analysis on 3 european satellite programs meteosat topexposeidon ers that provided data on extreme weather events sea level and ozone it demands an interdisciplinary methodology grounded on material and transnational historyin times of growing public concern regarding our actions on the climate crisis climasat delivers unparalleled information and critical analysis about how satellite datainformed perceptions of global climate were made which is relevant not only for researchers in academia but also for policymakers and engaged citizens
antivirus pandemic preparedness european platform

developing new antiviral treatment against viruses and particularly highpriority emerging and reemerging viruses as listed by the who remains crucial as among other aspects the viruses evolve under selection broad spectrum hostdirected antiviral drugs hda are promising therapeutic options however the robust identification of relevant host factors by genomewide knockout screens is challenging due to low consistency in the resulting hits our project aims to 1 establish a computational and experimental pipeline to identify and validate an antiviral for these viruses and 2 identify at least one broad spectrum antiviral drug against potential emerging and reemerging viruses as listed by the who to address these we will implement a drug selection pipeline following several strategies we will employ i machine learning based on data from knockout screens proteomics protein interaction transcriptomics of infected cells with pandemicrelated viruses genomewide association studies and generic gene descriptors ii high density cell arrays which provide much more detailed readouts compared to state of the art pooled knockout screens iii primary cell cultures obtained from a diverse array of human tissues as they are more appropriate to study the host cell physiology during infection compared to cancer cell lines and iv use the pipeline to identify host restriction factors which when activated challenge the virus followed by innovative drug development and delivery based on small activating rna the pipeline comprises an expedited arm for which broad spectrum antiviral drugs for repurposing will be selected followed by in vitro and in vivo efficacy testing and a clinical trial as a proof of concept the elaborated arm includes all strategies iiv and will provide a sustainable pandemic preparedness pipeline readytooperate to identify the appropriate treatment against the emerging virus at the early time of a new outbreak
european lighthouse on secure and safe ai

in order to reinforce european leadership in safe and secure ai technology we are proposing a virtual center of excellence on safe and secure ai that will address major challenges hampering the deployment of ai technology these grand challenges are fundamental in nature addressing them in a sustainable manner requires a lighthouse rooted in scientific excellence and rigorous methods we will develop a strategic research agenda which is supported by research programmes that focus on technical robustness and safety privacy preserving techniques and infrastructures and human agency and oversight furthermore we focus our efforts to detect prevent and mitigate threats and enable recovery from harm by 3 grand challenges robustness guarantees and certification private and robust collaborative learning at scale and humanintheloop decision making integrated governance to ensure meaningful oversight that cut across 6 use cases health autonomous driving robotics cybersecurity multimedia and document intelligence throughout our project we seek to integrate robust technical approaches with legal and ethical principles supported by meaningful and effective governance architectures to nurture and sustain the development and deployment of ai technology that serves and promotes foundational european values our initiative builds on and expands the internationally recognized highly successful and fully operational network of excellence ellis european laboratory for learning and intelligent systems we build elsa on its 3 pillars research programmes a set of research units and a phdpostdoc programme thereby connecting a network of over 100 organizations and more than 337 ellis fellows and scholars 113 erc grants committed to shared standards of excellence we will not only establish a virtual center of excellence but all our activities will be also inclusive and open to input interactions and collaboration of ai researchers and industrial partners in order to drive the entire field forward
bspecific bcell related gene and protein markers with prognostic and therapeutic value for cvd

atherosclerosis is the major underlying condition of cardiovascular disease cvd and one the leading causes of mortality rupture or erosion of atherosclerotic lesions can lead to acute cardiovascular events such as myocardial infarction and stroke making biomarkers to diagnose patients at risk for these events and develop tailored preventive interventions an urgent need although atherosclerosis is a chronic inflammatory disease clinical investigation of the adaptive immune system as a potential rheostat for disease development has been limited the bspecific consortium aims to classify and mitigate risk of cvd by generating novel types of genetic data and defining novel prognostic and therapeutic targets attained from our recent discovery of a specific bcell subset we will employ stateoftheart technology including single cell rna sequencing bcr repertoire analysis and mass spectrometrybased identification of autoantigens in cvd patient material with access to large populationbased cohorts fimcod ergo study spanning healthy adults of 40105 years of age we aim to assess the prognostic value of circulating b cell subsets and antibodies in subclinical atherosclerosis and investigate the contribution of genetic disposition using the extensive genomics data of the ergo study we will be able to determine causal links between the prognostic indicators and disease progression by applying mendelian randomization experiments and confirm these relationships in ex vivo and in vivo models of atherosclerosis based on these findings bspecific aims to develop at least 1 proofofconcept therapy targeting specific b cells bspecific will implement an active open science platform and in combination with a targeted dissemination approach to healthcare professionals we aim to impact cardiology practice and provide important new means of patient stratification and treatment options
the kinetic oxygen cycle in chemical sediments

temperature is probably the most fundamental parameter is earth sciences but vigorously debated for most of earths history temperature derived from carbonate 18o16o isotope ratios 18oc can be biased by i kinetic effects ii alteration or iii late precipitation of secondary carbonates kino shows that each of these mechanisms is expected to follow a different trajectory in 18oc vs 17oc space within this triple oxygen isotope space different precipitation mechanisms and different types of kinetic effects fall on characteristic slopes allowing to correct for these effects which allows attaining absolute paleotemperaturesoxygen isotopes are classically analysed in materials presumed to form in nearequilibrium with the water mainly aiming to attain paleotemperatures kino follows a completely different paradigm by specifically focussing on materials with large kinetic isotope effects this allows quantitative estimates for fundamental parameters other than temperature such as paleoph sulfate 18oso4 is in notorious disequilibrium with water while sulfite so32 equilibrates with water the final oxidation step to sulfate so42 induces a kinetic effect kino shows how the respective kinetic effects can be identified and corrected for providing insight into the formation mechanisms the respective physicochemical conditions eg ph and formation temperatures this approach can provide an alteration resistant paleothermometer for the archeanthe methodological development proposed in kino will be employed to understand marine c and o isotope excursions in the geological record including the paleoceneeocenethermalmaximum petm and the neoproterozoic shurham anomaly the later represents the largest negative carbon excursion on earth and precedes the cambrian explosion of life the petm represents the most recent equivalent of a co2 and ch4 induced climatic excursion associated with the sixth largest mass extinction
unleashing the predictive power of tidal disruption events

tidal disruption events tdes have been known for decades as unique probes of otherwise quiescent supermassive black holes and their environment in a mass range inaccessible by any other techniques however fulfilling this potential has so far been hindered by a crucial lack of understanding of the physics causing the emission my program will solve this theoretical bottleneck and unleash the predictive power of tdes at the dawn of an observational golden era provided by the rubin observatorya tde occurs when a star is disrupted by a black hole after which the stellar debris fuels the compact object generating the detectable signal while characterizing this emission has been prevented by the impossibility of simulating the entire gas evolution i am pioneering a new computational approach that solves this longstanding impediment by dividing the evolution into interconnected phases relying on this technique i will deliver the first paradigm for the tde emission based on firstprinciples simulationsusing this new knowledge i will build theoretical lightcurves that directly depend on astrophysical system parameters namely the black hole and stellar properties and develop the first physically sound analysis toolkit for detected tdes which statistically compares these lightcurves to observed ones to infer system parameters applying this toolkit to the wealth of upcoming tde detections i will shed new light on some of the most pressing mysteries in astrophysics including the formation and growth of supermassive black holes the properties and interactions between the stars orbiting them and the processes leading to relativistic jets and neutrino productionmy ambitious research program is designed to capitalize on the observational revolution brought about by the rubin observatory setting the foundations for tde science in the decade to come with farreaching implications across fields from galaxy evolution to highenergy astrophysics
sustainable lightemitting devices through control of dynamic doping

artificial illumination is fundamental and ubiquitous in modern society and the cuartificial illumination is fundamental and ubiquitous in modern society and the current largescale commercialization of more efficient and practical technologies in the form of leds and oleds is therefore important this development is not only resulting in improved luminaires and displays but also paving the way for a wide range of applications in eg medtech security and communication however a growing concern is related to that the fabrication of leds and oleds consumes large amounts of critical raw materials crms and energy and that their recycling is poorly developed and difficulta novel illumination technology the lightemitting electrochemical cell lec is in this context interesting and we and others have recently developed concepts for its material and energyefficient and crmfree printing fabrication and its delivery of efficient emission although not yet on par with ledoled these combined achievements now pave the way for a timely and important challenge can the lec become the first emissive technology that is truly sustainable through its entire lifecyclewe boldly argue that this vision can turn true if we can take control of the defining lec feature viz the dynamic formation of a pn junction by electrochemical doping it was recently shown that current lecs suffer from severe quenching of the excitons the photon precursors formed in the pn junction by toonearby dopants and we here introduce new insights and methodologies that address this setback through rational design and careful development of new materials a key task is to tune the mobility of the electronic charge carriers and excitons through guidelines established by modeling for the attainment of a sharp pn junction boundary we emphasize that our proposed path to highefficiency lecs does not depend on energyintense processes or the use of toxic or crmbased materials
disease and vaccine monitoring based on noninvasive genital tract liquid biopsy sampling

the ability to easily obtain appropriate and reliable biological samples is critical to advance life sciences and publicpersonal health having a sample that is noninvasive and can be selfcollected at home has major acceptance and feasibility advantages our team demonstrated that firstvoid urine fvu samples can replace clinician collected cervical samples to prevent cervical cancer caused by the human papilloma virus hpv using the initial or first void urine stream is crucial here indeed the outer layers of the epithelium of the genital tract exfoliate and together with the genital mucus form the uterocervicovaginalsmear it accumulates between the labia minora around the urethral opening and upon initiation of urination this discharge is washed away with the fvu urisamp uses hpv infection and vaccination models to prove the hypothesis that fvu is the ideal liquid genital tract biopsy to monitor immune response for women urisamp will 1 identify and validate analytical methods to detect the relatively low and fluctuating concentration of potential biomarkers in fvu 2 provide protocols to study neutralizing antibodies and look at antigenantibody interaction 3 demonstrate how fvu sampling can enhance our knowledge regarding the biology of hpv genital tract immunology mechanisms of infection and transmission the biological basis of prevention and potential correlates of protection urisamp will contribute to simplify and facilitate sexually transmitted infection sti vaccine research and provide valuable data for disease modelling moreover if urisamp proves successful and fvu can also replace other samples types egblood applications will largely extend the sti field and its impact as a novel diagnostic and prognostic tool for health assessment will be substantial
sociallyacceptable extended reality models and systems

the revolutionary opportunities opened by extended reality xr technologies will only materialize if concepts techniques and tools are provisioned to ensure the social acceptance of xr systems for that we need xr systems that are not just innovative and functionally complex but also provide an experience that satisfies the goals and needs of the user is in compliance with the social context in which the system is being used and is transparent safe secure explainable and is trusted by the user however current generations of xr systems fail to provide the xr experience they were envisioned for since stateoftheart models and technologies of xr systems fail to ensure fullfledged social acceptance a truly xr experience requires a major paradigm shift in the way xr systems are designed implemented deployed and consumed the sermas project will develop innovative formal and systematic methodologies and technologies to model develop analyze test and userstudy sociallyacceptable xr systems this will be achieved by pursuing the following four main objectives 1 follow an interdisciplinary multisectorial casestudydriven scientific and technological methodology to implement the sermas toolkit a set of methods and tools that will greatly simplify the design development deployment and management of sociallyacceptable xr systems 2 apply the toolkit to industrial case studies drawn from realworld application scenarios thus paving the way to transferring project results to industrial practice this will be possible through the active participation in the consortium of the developers of massuse industrial xr applications 3 enable innovators to leverage the toolkit to improve the social acceptance and cut down the timetomarket of their xr systems thereby enhancing the competitiveness of the vendors 4 produce the wider sermas methodology to position the use of the toolkit and enlarge its outreach