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: Explain the overall concept, methodology and approach for the project 'Role of the human in the evolution of ATM systems' (RHEA).

assistant: **Concept**

The objectives of the RHEA project are to provide automation strategies to guide systematically the decision process for automating functions in an air traffic management system that can accommodate growth in air traffic, while at the same time maintaining (or even enhancing) safety and efficiency levels and giving the air traffic controllers a satisfying job.The project will identify and evaluate functions that currently play a role in air traffic management and to add the ones that might become of interest in the future, addressing them where possible also in quantitative terms (e.g. system performance, human operator performance, safety levels, workload levels). The production of the functional requirements of the possible roles of human operators in future ATM systems, as well as the associated possible automation assistance tools on different intervention levels will conclude the project. %
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 'Impact of climatic change on river basin hydrology under different climatic conditions' goes beyond current state-of-the-art under Fourth Framework.

assistant: **Innovation**

The objective is to develop a methodology to annualise the relationship between the large scale circulation pattern and local climatic conditions including a mediterranean, atlantic and an alpine environment. The emphasis is on the prediction of hydrological changes at a medium time scale referring to several decades.For this purpose transient global circulation patterns, for the historic case and different CO2 concentrations will be utilised. The downscaling approach will be based on a combination of physical and stochastic spatiotemporal models. The approach is based on the classification of observed (several decades) large scale historical pressure distribution patterns over Europe; the statistical analysis of temperature and rainfall fields at the catchment scale under different topographic and climatic conditions; the statistical linkage between historic pressure fields and local processes; generation of a digital terrain model of basins located in alpine, and in the mediterranean region; improvement of the scale relationship by incorporating air flow models under given boundary conditions (pressure distribution and terrain characteristics); quantitative assessment of the water balance in the basins including surface runoff, runoff coefficient, evaporation, groundwater recharge and soil water budget; selection of a GCM for the transient and 2*CO2 case; repetition of the previous steps for the transient and 2*CO2 case assuming that the relationship between large scale and local data will hold The consequences on water resources under different climatic conditions and the implications for water resources management will be analyzed. This information should provide a rational basis for water environment related decision making. The main research tasks are seen in: the
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 'State of the Art and Innovation' section for a Sixth Framework proposal on 'Mechanisms of integration of newly generated neurons inthe adult forebrain'.

assistant: **Innovation**

The proposal seeks to identify the mechanisms by which newly generated neurons in the adult olfactory bulb (OB) are integrated into a functional sensory processing network. The OB is one of only two brain regions in which newly generated cells continue to replace components of existing circuitry in adult life. How these newborn neurons are integrated into the OB network, establishing functional connections with existing cells and ensuring a seamless turnover of olfactory processing machinery, is an important issue for understanding how sensory information is processed in such a dynamic system. It also has relevance to clinical attempts at stimulating functional endogenous regeneration in the adult brain. Of particular interest is the fact that many newborn OB neurons die after reaching the bulb.Do these neurons establish initial contacts with existing OB circuitry? If so, does the information received by a newborn OB cell from the existing OB network determine whether or not it survives? We will address the se questions through in vitro electrophysiological recordings of newborn neurons in the adult OB. These recordings will be undertaken both in normal mice and in mice in which electrical activity in the OB has been systematically altered.We aim to discover whether surviving cells receive particular patterns of input that cells destined to die do not, and whether the survival of newborn OB neurons is affected if those patterns are disrupted. To this end, Matthew Grubb, a British researcher with doctoral experience in in-vivo electrophysiology and developmental neuroscience, will join the Lledo laboratory at the Institut Pasteur in Paris, a world leader in the field of adult neurogenesis and OB function.The proposal will allow Mr Grubb to diversify his scientific expert
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 'RTD: Real-Time Delivery for Sensor Networks in Unpredictable Environments' goes beyond current state-of-the-art under Seventh Framework.

assistant: **Innovation**

The objective of this project is to develop a framework to provide reliable, real-time delivery of data and events in distributed event-based sensor systems. Several fundamental trends will shape future computing systems. The integration of sensors in networks of embedded systems will revolutionize future networked real-time and embedded computing systems. A growing number of applications will require timely, correct and reliable communication in highly dynamic environments. Examples include medical systems, transportation systems, surveillance systems, environmental and habitat monitoring. The long-term vision of the project is to develop reliable and adaptable, networked real-time computational systems, integrated with physical processes. The realization of the vision presents numerous unsolved and exciting problems to the software research community, including timeliness, reliability, security, privacy and adaptability. In particular, the proposed research will: (i) develop a methodology for modeling the aggregate behavior of the system and achieving time predictability, even in the presence of mobility, through synergistic congestion control, distributed real-time scheduling, and traffic regulation; and (ii) implement software components that run on the sensor nodes on top of existing operating systems, routing and MAC protocols that will enable us to integrate real-time functionality into existing infrastructures.
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 a compelling abstract for 'Modular thermoelectric system for industrial waste HEAT Recovery (HEAT-R)' demonstrating excellence, impact and implementation quality for a Horizon 2020 call.

assistant: **Abstract**

Waste Heat (WH) emissions are a major economic and environmental issue, and the European legislation is increasingly pushing industrial companies to look for new solutions to reduce them. In this sense, Energy Harvesting (EH) techniques are one of the most promising sources of solutions, with a potential market of $250 million in the next 3 years. However, currently available EH solutions have important limitations mainly due to their low adaptability to different industrial settings and their high maintenance costs.   HEAT-R proposes a new solution allowing the direct conversion of WH into electricity. It is a modular unit using multiple ThermoElectrical Generation cells associated and controlled through a programmable control unit based on System-on Chip technology, overcoming actual limitations by providing:• a large power generation capacity• a low-cost packaged solution • an adaptable and fully scalable system • a reliable, easy-to-install and maintenance-free product Current prototypes have been validated in relevant environments and one of the main objectives is now to scale up and adapt them to specific industrial requirements. In this sense, a demonstration within the premises of the first early adopter customer (SEAT-Volkswagen) will be performed during next months.The main objectives of HEAT-R are to validate the feasibility of the following technical, economic and impact aspects of the project:- Manufacturing process definition, including a Quality & Certification plan- New key partners identification- Industrial prototype validation - Know-how protection plan development- New customers’ requirements and needs identification (installation, validation, maintenance ...)- Market study improvement, including a deeper competitor analysis- Commercialization plan 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: Compose the 'Concept and Approach' section for a Horizon Europe proposal on 'Grammar learning across languages'.

assistant: **Concept**

Children learn how subjects, objects, and verbs combine into sentences irrespective of the language. The cognitive mechanisms underlying this incredible flexibility, however, are still poorly understood. Current theories suggest that pattern tracking and cognitive biases underlie grammar learning, but fail to account for the full breadth of grammatical diversity. In this project, I will set aside common theories and assumptions, and use a data-driven approach to investigate the mechanisms for grammar learning by sampling a diverse set of twenty languages. From this larger, representative perspective, I will re-characterize the roles of (1) pattern tracking and (2) cognitive biases to advance theory, and synthesize my findings into (3) a database to facilitate cross-linguistic research. I leverage cutting-edge technological advances in natural language processing and online experimentation to provide a window into the early flexibility of human cognition.


**Keywords:** Language acquisition, developmental cognition, grammar, cross-linguistic, computational modelling
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 'Energy-efficient and high-bandwidth neuromorphic nanophotonic Chips for Artificial Intelligence systems' will create measurable scientific, societal and economic impact aligned with Horizon 2020.

assistant: **Impact**

The same way the internet revolutionized our society, the rise of Artificial Intelligence (AI) that can learn without the need of explicit instructions is transforming our life. AI uses brain inspired neural network algorithms powered by computers. However, these central processing units (CPU) are extremely energy inefficient at implementing these tasks. This represents a major bottleneck for energy efficient, scalable and portable AI systems. Reducing the energy consumption of the massively dense interconnects in existing CPUs needed to emulate complex brain functions is a major challenge. ChipAI aims at developing a nanoscale photonics-enabled technology capable of deliver compact, high-bandwidth and energy efficiency CPUs using optically interconnected spiking neuron-like sources and detectors. ChipAI will pursue its main goal through the exploitation of Resonant Tunnelling (RT) semiconductor nanostructures embedded in sub-wavelength metal cavities, with dimensions 100 times smaller over conventional devices, for efficient light confinement, emission and detection. Key elements developed are non-linear RT nanoscale lasers, LEDs, detectors, and synaptic optical links on silicon substrates to make an economically viable technology. This platform will be able to fire and detect neuron-like light-spiking (pulsed) signals at rates 1 billion times faster than biological neurons (>10 GHz per spike rates) and requiring ultralow energy (<10 fJ). This radically new architecture will be tested for spike-encoding information processing towards validation for use in artificial neural networks. This will enable the development of real-time and offline portable AI and neuromorphic (brain-like) CPUs. In perspective, ChipAI will not only lay the foundations of the new field of neurom
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 clear, measurable objectives and define the scope for the project 'Rapid Cross-Lingual Speaker Adaptation for Statistical Text-to-Speech Systems' (CLSASTS) under Seventh Framework.

assistant: **Objectives**

Unit selection has been the dominant approach to text-to-speech synthesis (TTS) in the last decade. Recently, statistical TTS (STS) is proposed where statistical models are used for speech synthesis. The high quality and intelligibility speech it generates, the flexibility it offers in voice/speaker/emotion conversion, and its small memory requirements make STS systems a strong candidate to be the dominant TTS technology in the next decade. One of the most exciting research directions in the STS field is speaker adaptation where the goal is to adapt the voice characteristics to a target speaker. Maximum a posteriori and maximum likelihood linear regression methods are two of the common approaches for adaptation. There is also a recent and growing interest in cross-lingual speaker adaptation using the STS approach where the goal is to use speaker adaptation techniques to generate speech with a speaker’s voice characteristics in a target language that the speaker does not speak. Globalization and the need to communicate in multiple languages in social, economic, and political interactions increase the importance of the problem. In this proposal, a novel rapid adaptation approach is proposed for the cross-lingual speaker adaptation problem using the eigenvoice adaptation technique with the STS systems. In the proposed approach, two sets of eigenvoices are produced, one for the target language and one for the source language. Then, a regression function is generated between the source and target eigenvoice weights. Given a speaker, eigenvoice weights for the source eigenvoices are computed using a novel, perceptually-motivated objective function, and then the regression function is used to estimate the target eigenvoice weights which are then used to synthesize speech in th
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 clear, measurable objectives and define the scope for the project 'PISPA – Plytix Information Sharing Platform and Analytics – Testing product market fit for a disruptive Information sharing platform for brands and resellers' (PISPA) under Horizon 2020.

assistant: **Objectives**

The problem: As e-commerce grows in size and complexity, there will be a real need for a global standard identification system for products being sold online. Nowadays, too many resources are wasted on asset distribution from brands to e-tailers. Brands currently distribute product images and information for official e-tailers via email, ftp sharing, and other outdated ways, which makes the process time-consuming. Moreover, brands are currently unable to ensure that their products are presented in a way that reflects their brand’s image. For e-tailers, downloading, uploading and resizing images from brands is a time consuming process.The solution: Plytix.com is an online platform service that facilitates unmet needs in the current ecommerce model. Our novel platform acts as a central hub for brands and online retailers, introducing a whole new concept in ecommerce – an ecommerce focused, product-centric analytic tool. Unlike other web analytics tools, Plytix tracks product performance (not sites) directly and across websites – thereby bringing more value/insights for each given product. Our analytics tool enables users – brands and e-tailers – to extract valuable insights that allows them to: [i] optimize prices; [ii] detect quality problems; and [iii] optimize inventory to prevent stock-out, etc. In sum, Plytix provides the means for brands and e-tailers to extract large added value from cost savings and new business opportunities.The market: Since the largest online platforms are some of the biggest companies in the world, one could argue that the online platform business model is the most successful part of the Internet economy. The total exploitable market size for Plytix in the relevant countries (>10,000 brands registered) is above EUR 254 billion per year. The im
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 'Understanding and responding to societal demands on corporate responsibility' goes beyond current state-of-the-art under Sixth Framework.

assistant: **Innovation**

The research program proposed by the RESPONSE consortium aims to study the nature of societal demands on business organizations' decisions and actions from a business strategy perspective. Two are the overarching questions that will be addressed. First, wh at do companies understand as their responsibilities towards society, and how does that differ from the actual expectations from social actors? Two, how can companies cope with both rising societal demands on their activities and with a consequently wider gap between what they are prepared to contribute and what society expects from them? The consortium is planning to tackle these research questions from two distinct levels of analysis, the business organization and the individual manager. In the former per spective, the research partners will leverage on recent developments in organizational sociology, evolutionary economics and business strategy in order to focus on how the firm perceives and manages the different types of societal demands coming from a div erse group of actors (government and local authorities, social pressure groups, social rating agencies, employees and unions, supply chain partners, and so on). At the individual level of analysis, they will rely on recent advancements in cognitive and soc ial psychology, in fields as diverse as the psychology of emotions, neurology, ethical decision-making and consciousness studies. In addition to leveraging on cutting edge knowledge from diverse areas of social science, the research objectives and methodo logy of the consortium have been designed to pursue academic contributions not only to the debate on corporate social responsibility, but also to at least some of the disciplines the program is building on. Among them, business strategy, evolutionary econo mic
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 the novelty, innovation potential and advance beyond the state of the art for 'Organic synthesis for chemical biology: enantioselective synthesis of α-amino acids from terminal alkenes using gold catalysis and investigation into the selective functionalisation of proteins' (AlkenesToAminoAcids).

assistant: **Innovation**

This proposal centres on using cutting edge organic synthesis as a tool for the investigation of chemical biology. The first section deals with development of a novel, expedient and efficient approach to the synthesis of non-natural α-amino acids. This will employ gold catalysis to enable a completely regio- and enantioselective amino-oxygenation of an alkene to give an enantioenriched α-amino acid after simple oxidation. This method will allow highly direct access to enantiopure α-amino acids from starting materials as elementary as simple hydrocarbon alkenes. By building complexity in a single step, using the power of asymmetric gold catalysis, this will prove highly competitive with existing methods in which the motif is constructed gradually over a greater number of steps. The mild operating conditions and functional group-tolerant nature of gold catalysis means that a broad scope of alkenes will be compatible and this will yield a wide range of diverse non-natural α-amino acids which have applications in therapeutics, chemical biology and organic synthesis. Applications to synthesis of glycosylamino acids and the anti-epilepsy drug Keppra will be shown. This will be achieved in the outgoing phase in the group of F. Dean Toste at the University of California, Berkeley. In the return phase, with Matthew Gaunt at the University of Cambridge, the theme of the title will focus on application, wherein new catalytic C-H bond functionalisation techniques will be used to functionalise peptides and proteins, providing a powerful tool to perturb biological function to study biological processes. The fellow will undergo a thorough training in the biological tools and techniques required, whilst drawing upon his own experience of C-H functionalisation reaction development, to e