RCaz/eu-funding-proposals-sft huggingface dataset:
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write the concept and methodology overview for 'Smart Assembly Robot with Advanced FUNctionalities' under Horizon 2020.

assistant: **Concept**

While Industrial robots are very successful in many areas of industrial manufacturing, assembly automation still suffers from complex time consuming programming and the need of dedicated hardware. ABB has developed FRIDA (Friendly Robot for Industrial Dual Arm Assembly), a collaborative inherently safe assembly robot that is expected to reduce integration costs significantly by offering a standardized hardware setup and simple fitting of the robot into existing workplaces. Internal Pilot testing at ABB has however shown that when FRIDA is programmed with traditional methods the programming time even for simple assembly tasks will remain very long.The SARAFun project has been formed to enable a non-expert user to integrate a new bi-manual assembly task on a FRIDA robot in less than a day. This will be accomplished by augmenting the FRIDA robot with cutting edge sensory and cognitive abilities as well as reasoning abilities required to plan and execute an assembly task. The overall conceptual approach is that the robot should be capable of learning and executing assembly tasks in a human like manner.  Studies will be made to understand how human assembly workers learn and perform assembly tasks. The human performance will be modelled and transferred to the FRIDA robot as assembly skills. The robot will learn assembly tasks, such as insertion or folding, by observing the task being performed by a human instructor. The robot will then analyze the task and generate an assembly program, including exception handling, and design 3D printable fingers tailored for gripping the parts at hand. Aided by the human instructor, the robot will finally learn to perform the actual assembly task, relying on sensory feedback from vision, force and tactile sensing as well as physical human r
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Explain the overall concept, methodology and approach for the project 'Systematic Decoding of Deubiquitylase-Regulated Signaling Networks' (DUB-DECODE).

assistant: **Concept**

Cellular processes are largely governed by sophisticated protein posttranslational modification (PTM)-dependent signaling networks, and a systematic understanding of regulatory PTM-based networks is a key goal in modern biology. Ubiquitin is a small, evolutionarily conserved signaling protein that acts as a PTM after being covalently conjugated to other proteins. Reversible ubiquitylation forms the most versatile and largest eukaryote-exclusive signaling system, and regulates the stability and function of almost all proteins in cells. Deubiquitylases (DUBs) are ubiquitin-specific proteases that remove substrate-conjugated ubiquitin, and thereby regulate virtually all ubiquitylation-dependent signaling. Because of their central role in ubiquitin signaling, DUBs have essential functions in mammalian physiology and development, and the dysregulated expression and mutation of DUBs is frequently associated with human diseases. Despite their vital functions, very little is known about the proteins and ubiquitylation sites that are regulated by DUBs and this knowledge gap is hampering our understanding of the molecular mechanisms by which DUBs control diverse biological processes. Recently, we developed a mass spectrometry-based proteomics approach that allowed unbiased and site-specific quantification of ubiquitylation on a systems-wide scale. Here we propose to comprehensively investigate DUB-regulated ubiquitin signaling in human cells. We will integrate interdisciplinary approaches to develop next-generation cell models and innovative proteomic technologies to systematically decode DUB function in human cells. This will enable a novel and detailed understanding of DUB-regulated signaling networks, and open up new avenues for further research into the mechanisms and biologi
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Compose the 'Concept and Approach' section for a Fifth Framework proposal on 'European deep ocean margins: a new training-through-research frontier'.

assistant: **Concept**

European Deep Ocean Margins (EURODOM) provides a major framework for training young researchers in a fascinating field, at the interface of Earth and Life Sciences. at the crossroads between Academia and Industry, and at the new frontier of exploration for energy resources: the continental slope and the deep- water hydrocarbon provinces on Europe's margins. While the sea-going resources mobilized through the close links of the EURODOM RTN with the European OMARC cluster of projects offer significant space for training at sea, network participants offer some of the best data processing and analytical facilities in Europe. Our general goal is to provide advanced training and educational opportunities for pre- and post-doc young researchers to meet the linkages between Marine Geosciences, Environment and the hydrocarbon industry as far as they relate to deep ocean margins around Europe. Research objectives can be grouped in two inter-related blocks:(i) Assessment of continental slope stability, and(ii) investigation of the distribution, composition, functioning and significance of deep carbonate mound reefs in the European Deep Ocean Margins.Each of the blocks includes five specific objectives that, following the management and organizational structure of the project, converge towards three main outputs with future implications :(1 ) Slope instability risk analysis;(2) Recommendations for sustainable exploitation and preservation of deep- water reefs; and(3) Carbonate mounds / slope failure relations as connected to hydrocarbon mobility. Twelve tasks are defined to meet these objectives, each of them finishing with one milestone and deliverable. These include one task devoted to the implementation of an Educational Cyberfink Network on the topics of the network that will s
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Describe how 'Actionable policies for adopting high-quality integrated long-term care' will create measurable scientific, societal and economic impact aligned with Horizon Europe.

assistant: **Impact**

Long-term Long-term care (LTC) services are intended for people who depend on help with daily living activities and who may also need permanent nursing care. Disability increases as we get older, but  can be found in all age groups. The LAUREL project aims at gathering valuable insights into regional differences of integrated long-term care (I-LTC) provision and their support solutions in Europe. Using this intelligence, it will develop actionable policies to respond to the challenges of growing demand, economic constraints, accessibility, affordability, quality of services, shortages of members of the workforce, and systemic reforms.LAUREL will identify a set of the best innovative, integrated care solutions leading to better quality, person-centred LTC and overcoming territorial and gender inequalities in their provision.  The project has the following six sub-objectives:1) Develop a set of methods and tools for mapping and characterising I-LTC services in the EU27, covering: availability and accessibility, affordability, reliability, quality, workforce, funding, governance, autonomy and empowerment, and supporting technologies; and transversally incorporating the gender perspective and regional differences (rural/urban gap).2) Undertake a field study in EU-27 to identify the most successful innovative practices.3) Analyse the features of identified I-LTC services and context-dependent factors that provide insights into policies for the adoption/development of the best innovative practices, including supporting technologies.4) Use this analysis to carry out qualitative research in the EU27 to generate a consensus on actionable policies favouring a shift to I-LTC, by investigating the change management strategies that favour policy adoption5) Produce a white paper on I
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Draft an impact statement for 'Innovative Sensor System for measuring perceived Air Quality and Brand Specific Odours', explaining its relevance to EU policy priorities under Sixth Framework.

assistant: **Impact**

The main goal of this project is to develop an innovative system to measure indoor air quality, as it is perceived by humans to be used as an indicator and a control device for the indoor air quality. The system will also be able to detect brand specific odours and it will serve as a novel interior odour design tool for the vehicle industry. This innovative sensor system is highly demanded by the European society considering that humans spend about 90% of their time indoors, at work, at home and when commuting between work and home. Recent data shows that improved indoor air quality will result in less- complaints, increased comfort, less health problems and higher productivity. Consequently, quality of life will be improved.This project will build upon current knowledge on the perceptual effects of indoor air pollutants and on the experience gained in using chemical measurements and sensors for specific odours. The approach of the project will be to enhance the present state of the art of sensor systems, the perceptual methods and the software tools for modelling human response, and integrate them into one innovative system for measuring indoor air quality, as it is perceived by humans. A bridge will consequently be created between the previous works in this area and progress will be achieved by integrating measurements, sensors and modelling by a holistic approach.The main challenges are the finding of a perceptual space by using different reference odours, the measuring procedure for perceived air quality, and a characterisation method of brand specific odours. This work will continue the research work of the two 2004 Nobel Prize winners Buck and Axel and it requires advanced knowledge in perception psychology and technical excellence in sensor system design and indo
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write the 'Expected Impact' section for the project 'Fostering Critical Identities Through Social Media Archival Images' (IMACTIS), addressing dissemination and exploitation.

assistant: **Impact**

The aim of IMACTIS is to stimulate European citizens into using social network images in a way as to manage their identities in a critical manner. Digital media have profoundly changed the meaning of identity through two different shifts pertaining to social interaction. On the one hand, experience-based communication such as the acts of liking, following, and sharing, together with the diffusion of representations such as selfies, point of view shots, and live videos, have led to the dissemination of instinctive forms of identity expression. On the other hand, the profiling of people’s social and political circles (Facebook), entertainment tastes (Netflix), service or product needs (Amazon and AdSense), and even of their sexual partners (Grindr and Tinder), has led to the delegation of behavioural identity management to algorithms. The main hypothesis of IMACTIS is that in order to link experiential representations with algorithmic management in the current communication environment, a reflexive and conscious narrative identity based on one’s own visual archives is required.  By approaching images as an everyday language, I will develop two axes of research built on a semio-rhetorical perspective: 1) I will study, by means of big data computer science methods, the heterogeneous and complex European visual cultures to be found on social media: the ethnic and physical variety of people and places, and the most used configurations and themes. 2) I will build another, more complex set of visual corpora, that of found footage videos belonging to the fiction, information, and ludic macro-genres. These corpora will serve as an experimental field: the narration strategies built upon the reuse of visual archives will be adapted to identity narrations on social networks. The res
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write a project proposal abstract for 'Novel asynchronous optoelectronic neural network exploiting the dynamics of photorefractive interconnects' to be submitted under Fourth Framework.

assistant: **Abstract**

There are clear requirements for neural processors, ranging from pattern recognition to industrial process control. It is recognised that the degree of interconnection required for efficient Neural Networks is sufficiently high that optical or hybrid (optically-interconnected electronics) implementations should have advantages over all-electronic machines. The objective of the project is targeted at the study, design and implementation of a photonic demonstrator neural network. Our proposal falls broadly in three areas. The first concerns 'smart pixels' as potentially suitable devices for use as optoelectronic neural units. A second study involves the properties of photorefractive crystals as reconfigurable interconnections, while the third area concerns the design of new algorithms (and architectures) which best exploit the optical response characteristics of the chosen devices rather than attempting to use devices in some 'standard' algorithm and architecture combination. We believe that the strong interaction of these three areas provides the key to successful neural net construction.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Explain how 'A better understanding of thermal Alliesthesia and thermal Adaptation for correctly predicting dynamic thermal comfort' goes beyond current state-of-the-art under Horizon 2020.

assistant: **Innovation**

Much of the effort in thermal comfort research has been given to understand which environmental and personal steady-state conditions lead to thermal comfort. This focus on static and isothermal states has been translated in the prescription of fixed set-point temperatures in buildings. Now, a paradigm shift in the way energy is generated and used calls for a complete rethink of the way buildings are designed and operated. In contrast to a fixed set-point driven design, the implementation of set-point modulations in buildings allows to shift and/or shave heating and cooling peak loads and contributes to boost buildings’ flexibility. However, a scarce knowledge of the effect of dynamic indoor conditions on occupants’ thermal comfort still prevents the design and adoption of comfortable temperature fluctuations. While big advancements have been made in modelling the physics of the heat and mass transfer into and out of the human body (i.e. the passive system of multi-segmental dynamic models of human thermoregulation), still very little is known on how the brain processes and integrates sensory inputs to create thermal perceptions, particularly during dynamic indoor conditions. The proposed research project aims to address this knowledge deficit by shedding new light on the psycho-physiological mechanisms driving the dynamic thermal perception, with a particular focus on the phenomena of thermal alliesthesia and thermal adaptation, and by creating a more accurate predictive thermal comfort model, which is able to better account for these two phenomena. This project will provide the research community with a new robust set of empirical data, novel knowledge and a novel physiological-based dynamic thermal comfort model, which has the potential to revolutionize the way profes
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write the 'Expected Impact' section for the project 'Allergy to the sun: multidisciplinary investigation on the prevalence, pathognesis, treatment and prevention of polymorphic light eruption across europe' (SUNALL), addressing dissemination and exploitation.

assistant: **Impact**

Sun-provoked skin reactions, ranging from itching rashes to unsightly eruptions, constitute one of the most prevalent forms of allergy and impacts the lives of millions of Europeans. This condition has been poorly investigated, and largely neglected as a public health problem. In a unique multi-centre partnership of dermatologists, (photo-) biologists and epidemiologists we intend to address this deficiency and determine the prevalence and severity of the condition across Europe. Based on new exciting research developments we will investigate thepathognesis and aetiology of the most common form of sun allergy, PolymorphicLight Eruption (PLE). The direct goals are to improve diagnostic criteria and targeting of therapies, and to provide guidelines on prevention.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Explain the overall concept, methodology and approach for the project 'Reinforcement learning to improve proof-automation in theorem proving' (DeepIsaHOL).

assistant: **Concept**

Developing generic proof automation methods for interactive theorem provers (ITPs) is challenging but valuable. Applications range from performance improvements in the verification of safety-critical systems to the certification of famous, long, and hard-to-prove theorems. We propose using recently successful reinforcement learning (RL) algorithms to learn proof strategies employed in vast ITP libraries and use them as generic methods to automate the ITP proving process. Specifically, the project aims to create a tactic for one of the most popular and automated ITPs, Isabelle/HOL, and train the RL algorithms with theorems from the two largest Isabelle libraries: HOL-Library and the Archive of Formal Proofs (AFP). We identify three gaps in the state of the art that such an RL-and-Isabelle approach would close and describe the work packages that will achieve the corresponding three research objectives. The project will be done under the guidance of Dr Josef Urban, who holds a Distinguished Researcher position at the Czech Institute of Informatics, Robotics and Cybernetics (CIIRC) within the Czech Technical University (CTU) in Prague. Dr Urban and the CIIRC group are experts in integrating machine learning (ML) and interactive theorem proving. Their infrastructure and expertise targeted to ML and ITPs provide the best research environment for this project. Jonathan Julián Huerta y Munive, the researcher carrying out the project, complements this expertise with his Isabelle/HOL experience and knowledge of ITP applications.


**Keywords:** deductive verification, reinforcement learning, interactive theorem provers
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Draft an executive summary for the EU project 'Digging Deep into the Sequence Space of Electrochemical Debonding of Peptides to Impact Next Generation Polymer Adhesives' (IDefix) targeting Horizon Europe.

assistant: **Abstract**

Generating novel polymer functions based on rational design criteria, derived from deep statistical analysis of massive experimental data sets, would fundamentally impact materials development and represent the next evolutionary step in macromolecular engineering.The IDefix project establishes a generic information-based design strategy to define polymer–surface interactions that represent the key property in various applications. The project focuses on advancing adhesives, to facilitate material-specific adsorption and triggerable desorption by distinct electrochemical transformations.The rationale of engineering such polymers is extracted from peptide phage display (PD) biopanning with an advanced selection scenario and using next-generation sequencing (NGS). This allows to screen 10^9 sequences and readout of 10^6, providing the data sets to feed machine learning (ML) tools.A new software tool “SurPhage” is developed and tailored to the material-oriented biopanning. Leveraging ML concepts, sequence data interpretation and feature abstraction are combined with sequence-function data of a broad analysis pipeline to learn on the rationale that feeds generative models for in-silico design.The underlying chemistry relies on peptides with L-3,4-Dihydroxyphenylalanin (Dopa)-residues that show potent catechol anchors and a unique debonding mechanism on quinone oxidation. However, the strategy enables to identify hidden champions and discover novel Dopa-free mechanisms.Employing the design rationale an IDefix platform is developed, covering polymers from artificial adhesive proteins to copolymers. These enable the electrochemical manipulation of adhesives, coatings or membranes, facilitating applications of debonding on command or dimming of permeability. Combining IDefix mat