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: Describe how 'Harmonising Observations and Underlying Principles for Visual Data Association' will create measurable scientific, societal and economic impact aligned with Horizon Europe.

assistant: **Impact**

Visual data association aims to find task-specific mappings involving visual data. Two significant examples are the mapping of physics models to complex scenes for planning overtaking manoeuvrers in autonomous driving, or matching collections of 3D shapes for medical analysis. Despite the high relevance of visual data association, its progress has not kept pace with the revolutionary developments fuelled by recent deep learning advances: existing data association machinery lacks theoretical guarantees (e.g. global optimality, or structure such as geometric consistency in 3D shape matching) that are critical for high-stakes settings, or suffers from poor scalability. Moreover, current procedures fall short of understanding complex interconnections across different observable entities (collections of e.g. objects or scenes). The vision of Harmony is to tackle these shortcomings by harmonising the complex interconnections between observable entities and underlying fundamental principles (e.g. geometry, or physics). This research direction is challenging, largely unexplored and will require to break substantially new ground at conceptual, algorithmic and practical levels simultaneously. Harmony is organised into four complementary challenges:Challenge A addresses global optimality and scalability for 3D shape matching;Challenge B addresses structure and dynamics inference from static images;Challenge C addresses non-linear synchronisation in data collections defined over graphs;Challenge D will exploit synergies and cross-fertilise insights across Harmony.Overall, Harmony will benefit both researchers and practitioners by providing solutions to more complex tasks in practically relevant settings (e.g. geometrically consistent medical shape analysis, or physics-based scene u
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 'Development and applications of new built-in-test software COMPONENTs in European industries', explaining its relevance to EU policy priorities under Fifth Framework.

assistant: **Impact**

Component-based software engineering is a new approach to programming and software development. The conventional technologies for in-house and commercial-off-the-shelf (COTS) software components development are mainly based on object-oriented (OO) techniques. The Built-In Test (BIT) components for self-testable and test-reusable COTS and in-house components are a cutting edge technology developed by the proposers. BIT technology is considered to be a significant extension of OO technology to self-testable and test-reusable software in component-based software engineering. The COMPONENT+ project proposes the further development of BIT technology for component-based software engineering, and intends to widen application of the new technology in the European software industry. BIT components have been found extremely useful for OO software and COTS development. As a result, the COMPONENT+ project will establish European R&D and industry partners as the driving force for the development of new technologies component-based software engineering and will place Europe in the vanguard of global implementation.Objectives:The main aim of the project is to further develop the cutting edge built-in test (BIT) component technology in a collaborative consortium with key European research institutions and leading industrial laboratories. The project will transfer the BIT methodology into a well-established and practically applicable technology for CBSE. The key objectives of the project and its measurable outcomes are:- A new technology for implementing BITs in COTS and in-house software components;- An extension of OO technology from code reuse to test reuse;- A new approach to OO software test in CBSE;- A new approach to enabling run-time software test;- A wide range of applications
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 'Modelling the impact of resource competition, human expansion and climate on extinction' demonstrating excellence, impact and implementation quality for a Horizon 2020 call.

assistant: **Abstract**

This MSC Action will investigate the interplay of behaviour, climate, and human pressure on species extinction, using a highly interdisciplinary approach uniting theoretical population modelling with palaeogenomics. This MSC Action will investigate the interplay of behaviour and population structure on extinction risk in species that rely on geographically fixed resources. It will focus on long extinct cave bears by utilising a highly interdisciplinary approach uniting theoretical population modelling with palaeogenomics to test the causes of their extinction. The host organisation, Prof. Manica’s UCAM Group, is a world-leading research group in population genetics and modelling. I will be provided with training and development opportunities that allow me to build a spatially explicit computational model of cave bear populations that use multiple caves for hibernation. Development of my existing knowledge of palaeogenomics during secondment in Dr. Barlow’s TNTU Lab will allow me to assemble a population level sample of contemporaneous Romanian cave bear genomes to further refine the model based on empirical data. Finally, this refined cave bear population model will allow, for the first time, a detailed and statistically robust assessment of the effect of human competition for caves on cave bear extinction. This MSC Action provides numerous opportunities for my training and personal development, by locating myself in the world-leading UCAM Group, attendance of five formal training courses, and further opportunities during the secondment and visits to other labs. It will result in internationally significant research outputs that will be disseminated to the scientific community via publications and presentations, as well as to different target audiences via public engage
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 2020 proposal on 'Dissecting hippocampal circuits  for the encoding of early-life memories'.

assistant: **Concept**

The infant brain is a formidable learning machine. But is it able to encode memories of early-life experiences? Since most of us don’t remember what happened during the first years of our lives, for a long time this question has been open to debate. Recent evidence suggests that, even if we cannot recall them, early-life memories are encoded in the developing hippocampus, persist in a silent state into adulthood, and can affect the acquisition of new information later in life. We know very little about how the infant brain encodes early-life memories, despite the fact that our earliest experiences can stick with us and influence our behaviour as adults. How can the infant hippocampus produce long-lasting memory traces when its circuits are not yet mature? Why can’t we remember early-life memories? And how can infant memories have long-lasting effects if we can’t recall them? To answer these questions, in the following project I propose to study memory processes in the developing brain using the mouse as a model organism. I will implement a combination of genetics, viral tagging, calcium imaging, and opto- and chemogenetic methodologies, in association with behavioural paradigms, to track in vivo the activity of a large number of neurons as the brain matures, and to gain fundamental insights into the early functions of the mammalian memory system. The aims of my proposal are: 1. to understand how the infant hippocampus produces neuronal ensembles to represent early-life experiences; 2. to identify and dissect the neural circuits encoding infant memories; and 3. to unravel how neurons supporting silent memories created during infancy influence learning processes in adults. By bridging developmental, systems, and behavioural neuroscience, my ambition is to understand how t
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 'Local Heroes, Global Impact: The Unsung Power of Micro and Small Enterprises in Global Value Chain Reconfiguration' (SOS-GVC) targeting Horizon Europe.

assistant: **Abstract**

Recent geopolitical and economic shocks have led to a profound transformation in global production processes. In response, many companies are restructuring their operations by relocating business activities closer to or within their home countries. This shift is altering the dynamics of Global Value Chains (GVCs), intricate networks that are central to producing a variety of goods. While scholarly attention focuses on large multinational firms, the role of Micro and Small Enterprises (MSEs) in GVC reconfiguration remains an unexplored frontier. SOS-GVC aims to introduce a pioneering theoretical and empirical framework to assess the role of MSEs in reshaping GVCs structure, with a focus on the territorial implications of their strategies. The project will provide evidence of the various ways MSEs can influence global production processes. Firstly, MSEs directly involved in GVCs can repatriate offshored activities, generating impacts in the domestic regions where they are located. Secondly, MSEs indirectly participating in GVCs can safeguard local subcontracting networks by implementing risk prevention strategies to reduce the likelihood of disruptive events. The combined effect of these actions can empower the territories where MSEs operate, enhancing their ability to react to shocks. To construct the empirical framework, I will employ distinctive georeferenced firm-level data obtained from the Italian Ministry of Economy and Finance Annual Survey covering the 2010-2022 period. This database, untapped by the academic community, provides a unique advantage. The project has significant societal implications. As deglobalization trends persist, the crucial role of MSEs in GVCs is expected to grow, along with the regional impact of their activities. The societal impact lies 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 'Translating a new metabolic engineering strategy to industrial biotech applications'.

assistant: **Concept**

Industrial biotechnology plays a key role on the road to a sustainable, climate-neutral and circular economy. However, disruptive innovations are needed to substantially increase the efficiency of bio-based processes for the production of chemicals. The ERC CoG project StrainBooster aimed to develop a generic metabolic engineering strategy to maximize the productivity of microbial cell factories. It is based on the concept of enforced ATP wasting (EAW), a targeted intervention in the energy metabolism of the cell that enhances the overall metabolic activity boosting also product synthesis. The project reached its central goals and could demonstrate in several case studies the enormous potential of EAW to improve productivity (up to tenfold increase) and product yield. With these results, StrainBooster’s innovation is now mature to initiate a transfer from small-scale example processes in an academic lab to realistic industrial applications. This is the goal of the PoC project TRANSMETECH. Two companies, one younger startup (COLIPI) and one established big biotech player (BASF), have already indicated their high interest to collaborate with us within this PoC project to jointly explore the potential of EAW for their innovative bioprocesses (oil production by oleaginous yeast (COLIPI) and synthesis of terpenoid-based products (BASF)). In addition, to further improve the efficiency of EAW in industrial applications, we will validate different expression systems for autoinduction of EAW in two-stage processes, which are also directly relevant for our partners. In summary, through TRANSMETECH we will establish partnerships with biotech companies to facilitate the translation of the StrainBooster approach and showcase its power in concrete industrial applications. On the long
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 'Novel computational avenues in protein-protein docking' demonstrating excellence, impact and implementation quality for a Horizon 2020 call.

assistant: **Abstract**

Bringing a new drug to the European market takes at least 10 years and 2.5 BEUR of R&D effort. Computational methods significantly shorten this journey but they require knowledge of the structure and interactions of the involved biomolecules - most often proteins. In recent years, a tremendous progress has been made in the field of a single protein 3D structure prediction. However, predicting protein assemblies -the most crucial step - still remains very challenging. The aim of this IF project is to revolutionise protein complexes prediction methods. This will be achieved first by developing novel, effective and fast approaches for the calculation of the vibrational entropy, key to protein-protein docking mechanisms.  Then, in an innovative and multi-disciplinary approach, the Experienced Researcher (ER) aims to combine advanced physics-based models with machine learning methods using data from structural and sequence databases. Finally, this project will link all the pieces together and release them in the form of a web-server in order to allow the community to benefit from the results of this research.The ER will carry out the fellowship in the Centre National de la Recherche Scientifique - CNRS in Grenoble, France. CNRS carries out research in all scientific fields of knowledge and the Supervisor is a renowned expert in data science, computing, and software engineering. Through a well-thought two-way knowledge transfer and training plan, this project will benefit both the host institution and the ER in terms of scientific knowledge, network and open the path for new applications to potentially exploit at the European or global level. The project will also place the ER as a highly visible researcher in the field and ideally set her as a valuable resource for European
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 specific objectives and expected outcomes for 'Circulation Pilot with Continuous Control of Multi-Modal Air Cargo Containers' in the context of a Horizon 2020 call.

assistant: **Objectives**

Air cargo transportation system is designed to provide fast and efficient shipment of goods, two features that make it highly vulnerable to potential security threats. The main objective of the project is to implement and validate in real-life environments a system that addresses these security risks and is aligned with the time and cost realities of the air cargo industry so it does not interfere with the trade flow. The project concept is a smart and secure cargo container and information exchange platform that can reduce screening costs and eliminate tampering risks by combining advanced composite materials, secure PIN-code lock, electronic shipping documents (e-freight), web-based software for data storage and a 24/7 fully redundant communication systems based on GPS, GPRS and RFID technology for continuous real-time visibility.The project will select of participants in the entire value chain (shippers, logistics services providers, handling agents, airlines, customs, forwarders and consignees), and select two closed-loop transport lanes to execute the pilot. The consortium assembles 4 research performing SMEs with unique and complementary expertise, who will produce together a pre-series of 250 containers, obtain the relevant approvals from FAA/EASA, and deploy the solution with the pilot customers.The project results, as compared with the current packaging, transport and security management methods, will be widely disseminated via industry associations such as IATA, TSA and TIACA. A full industrialization and commercialization plan will be developed in the course of the project.


**Keywords:** secure container, freight, air cargo
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 'The disruptive Multifunctional Container Transfer System, a seamless & horizontal transfer of containers - low cost, more efficient utilisation in cargo freight and with care for the environment' goes beyond current state-of-the-art under Horizon 2020.

assistant: **Innovation**

The overall vision is to bring our patented M-CTS solution to full market maturation, to pilot and to arrive at its commercialisation as a disruptive hydraulic mechanism that enables seamless and horizontal transfer of a container between semi-trailer and train wagon (or vice-versa) 3 times faster than current solutions. The seamless transfer between truck and train is the core to solve the limitations and unlock the potential of combined road/rail freight. M-CTS decreases OPEX, has 84% lower CAPEX for intermodal ports infrastructure and overall efficient use of space.  M-CTS is rooted in the clear market-pull caused by the freight industry need to increase its efficiency and decrease environmental impact. It is the result of a previous EU-funded project leading to a verified and demonstrated prototype (TRL7) and confirmed the commercial and economic viability. For this project SLG developed a roadmap for technical improvements and a strategic business plan to enter the global freight market. Our FTI approach is to execute these plans, technically advance the M-CTS to TRL8 (WP1) and qualify the service in real-life operations to reach TRL9 (WP2). To support commercial viability, we will conduct a range of market maturation activities in WP4-5 and secure FTO and final business innovation plan in WP6.  We bring together a strong consortium, the lead SME (SLG) with deep industry knowledge have teamed up with the world-class hydraulics manufacturer, JOST, and a large rail freight operator target user (Lineas), to successfully market launch and scale-up the ground-breaking M-CTS.  M-CTS will create a measurable consortium impact - as accumulated revenues of €363m for the 5-year post-project, with accumulated net income of €113m and employment growth of 43 FTEs, and 120 FTEs
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 specific objectives and expected outcomes for 'Reliable Self-Learning Production Systems Based on Context Aware Services' in the context of a Seventh Framework call.

assistant: **Objectives**

The strategic objective is to strengthen EU leadership in production technologies in the global marketplace by developing innovative self-learning solutions to enable tight integration of control & maintenance of production systems. The project will develop highly reliable and secure service-based self-learning solutions aiming at that integration. The Methodology addressing organisational aspects of such a radical change in production systems, within extended enterprise concept, applying lean principles will be elaborated. Approaches based on SOA principles, using distributed networked embedded services in device space, are the most appropriate for implementation of such self-learning solutions. The main obstacles to fully utilize the opportunities offered by service-based self-learning systems are problems related to reliability, availability, interoperability and security & trust of diverse SW services. Context awareness, providing information about the processes & equipment and circumstances under which the services operate and allowing them to react accordingly, is a promising holistic approach to assure needed self-learning adaptation to changes in processes and equipment states and, on the other hand, Quality of Services needed for such self-learning production systems. The project will develop context models and self-learning context extractor, self-learning adapter for control, maintenance and parameter identification, as well as SOA based infrastructure including security & trust framework and an agent based middleware introduced in the service structure. The project will be driven by three industrial application scenarios from 3 industrial partners, where self-learning components and SOA infrastructure for integrated control and maintenance will be applied fo