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: Draft an impact statement for 'A Probabilistic Integration Recurrent Neural Network for Scientific Applications', explaining its relevance to EU policy priorities under Horizon Europe.

assistant: **Impact**

Scientists have huge needs for better analysis tools. Machine learning is a powerful framework to provide outstanding tools, but the current large-scale neural networks are not adapted for scientific applications where datasets are limited. Probabilistic networks are a powerful alternative for smaller datasets. However, they have flaws that prevent them to work well for complex tasks. They notably have speed and accuracy limitations.This project aims to make a breakthrough in machine learning for scientific applications by developing a new physics-informed probabilistic neural network adapted for small datasets. The basic unit of our network overcomes the limitations of the current probabilistic methods by considering a recurrent Gaussian process and using an analytical integration method. The first objective of our project is to deploy several units that each represent a state in a neural network, and to consider abrupt transitions from one state to another. This network will be applied to the analysis of single-particle tracking data, an important and complex biology problem for which our model will be particularly well-suited. Next, we will extend our network to consider maps and spatiotemporal maps. This second phase will be applied to mapping cell viscosity, a particularly promising super-resolution technique that does not require specific markers. Our last objective is to create a modular network to enable better scalability of our architecture for more complex tasks. We will test this architecture on multimodal data like vital signs to predict patient outcomes. This project will therefore result in a powerful open-access neural network that other scientists will be able to derive for their scientific applications, along with a series of three scientific tools tha
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 'Advanced Airspace Management' goes beyond current state-of-the-art under Horizon 2020.

assistant: **Innovation**

According to EUROCONTROL’s 2013 Challenges of Growth Report, Air traffic in the ECAC region is forecast to increase by 50% between 2012-2035 (most-likely scenario).Air traffic diversity is expected to become even more complex with the emergence of Remotely Piloted aircraft Systems (RPAS) and the multi-task nature of military aerial missions. The extension of free route operations will also imply more complex and dynamic traffic patterns.Network Operations will have to become more flexible and adaptable, allowing effective balance between capacity, mission effectiveness, flight efficiency and environmental requirements on one hand, and the diversity of user requirements on the other.PJ08 Advanced Airspace Management (AAM) brings key European aviation industry partners combining the right expertise and investment to address this challenge.Aligned with the ATM Master Plan, AAM Partners focus on Dynamic Airspace Configurations (DAC) and Dynamic Mobile Areas (DMA).  Compared to today’s airspace scenarios, which by their nature are static, DAC/DMA enable flexible solutions that can be dynamically adapted to traffic demand to respond to different regional/local performance objectives, which may vary in time and place.AAM Partners will further elaborate the definition of DAC/DMA, the associated data models and operational processes, validate the operational feasibility and assess the performance impact. The readiness for integration of the DAC operational process in the DCB process will be as well addressed. Automated tools to generate optimum sector design and configurations, as well as DMA optimal location and volume to meet performance targets will be developed.AAM supports the SESAR Deployment regulation and addresses European concerns on economic (more efficient use of ATM
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 the 'Objectives and Scope' section of a Horizon 2020 proposal for the project 'Cracking the Translation Regulatory Code'.

assistant: **Objectives**

Organisms across all kingdoms share several systems that are essential to life, one of the most central being protein synthesis. Living in a continuously changing environment, cells need to constantly respond to various environmental cues and change their protein landscape. In extreme cases, cells globally shut down protein synthesis and upregulate stress-protective proteins. Mechanisms of translational repression or selective enhancement of stress-induced proteins have been characterized, but their effects were demonstrated on an individual mRNA basis. Which target mRNAs are translationally regulated in response to different environmental cues, and what are the cis-regulatory elements involved, largely remain as open questions. Using ribosome footprint profiling, I recently discovered a novel mode of translational control in stress, underscoring the potential of new technologies to uncover novel regulatory mechanisms. But while transcription cis-regulatory elements have been thoroughly mapped in the past decade, and splicing regulatory elements are accumulating, the identification of translation cis-regulatory elements is lagging behind. Here I propose to crack the mammalian translation regulatory code, and close this long-standing gap. I present a novel interdisciplinary framework to comprehensively identify translation cis-regulatory elements, and map their mRNAs targets in a variety of cellular perturbations. Importantly, we plan to explore mechanisms underlying novel cis-regulatory elements, and create the first genome-wide functionally annotated translation regulatory code.The translation regulatory code will map targets of existing mechanisms and shed light on newly identified pathways that play a role in stress-induced translational control. The proposed 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: Compose a compelling abstract for 'Malarial chemotherapy targeting plasmodial phospholipid biosynthesis: implementation of a prodrug strategy for orally active compounds' demonstrating excellence, impact and implementation quality for a Fifth Framework call.

assistant: **Abstract**

We will develop a new class of ant malarial drug that target membrane biogenesis of the erythrocyte stage of Plasmodium falciparum. We have established thatphospholipid synthesis of the parasite, but not the host, is specifically blocked, and that multiresistant malaria is susceptible. To date no resistance has been found. Efficacy and tolerance in mice, dogs, and primates have encouraged drug development for clinical testing. Here we will optimise currently promisingprodrugs and select one candidate for rapid transfer to preclinical studies. We will also assess promising new molecular leads and oral delivery systems. Complementary research will define the molecular mechanisms of drug activity and will more fully characterise parasite serine lipid metabolism. This is unattractive pathway for drug development that is absent in mammalian cells and that offers considerable potential for medium-term pharmacological interventions .
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 'Robust Algorithmic Game Theory', explaining its relevance to EU policy priorities under Horizon 2020.

assistant: **Impact**

The field of Algorithmic Game Theory (AGT) has come of age. It has a rich theory, motivated by real-world scenarios, and has found increasingly widespread applications in electronic markets and online auctions. However, the state of the art of the AGT theory still lags far behind full applicability in many Internet applications, largely due to excessive model simplification, unsuitable analysis methods, and disregard of crucial real-world considerations. As increasingly more social and commerce applications move to the Internet, {\bf the robustness of AGT theory becomes a crucial issue}. The additional research needed to render AGT theory more suitable for the realm of practice in a more substantial way is far from negligible. However, the potential uses of this fundamental area are so significant that research in this direction is imperative. We foresee that the approaches pursued in this proposed research will play a central role in reaching this highly momentous goal.To achieve this goal of advancing AGT theory, we will identify problematic assumptions and analysis methods employed in the traditional AGT paradigm, propose novel approaches for making these assumptions as flexible and nuanced as possible, and develop new analysis and design techniques to address more realistic scenarios. The proposed project will open up new horizons in the field of AGT, and will broaden its theoretical scope and real-world validity.More than a decade ago, Papadimitriou wrote:  ""A fascinating fusion of ideas from both fields --- game theory and algorithms --- came into being and was used productively in the effort to illuminate the mysteries of the Internet. It has come to be called algorithmic game theory."" My vision is that an impressive and cogent fusion of ideas will emerge from
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 'Robust and Reliable technology concepts and business models for triggering deep Renovation of Residential buildings in EU' to be submitted under Horizon 2020.

assistant: **Abstract**

4RinEU will define robust, cost-effective, tailorable deep renovation technology packages supported by usable methodologies, feeding into reliable business models. The project will minimize failures in design and implementation, manage different stages of the deep renovation process, from the preliminary audit up to the end-of-life, and provide information on energy, comfort, users’ impact, and investment performance.The 4RinEU deep renovation strategy is based on 3 pillars: (i) technology (driven by robustness) to decrease net primary energy use (60 to 70% compared to pre-renovation), allowing a reduction of life cycle costs over 30 years (15% compared to a typical renovation) (ii) methodology (driven by usability) to support the design and implementation of the technologies improving the information flow and knowledge sharing among stakeholders to sustain participative design, ensuring to halve the current renovation time (iii) business models (driven by reliability) to enhance the level of confidence of deep renovation investors, increasing the EU building stock transformation rate up to 3% by 2020. The 10 main results of 4RinEU will address the following objectives: Technology: to reduce demand (Prefab Multifunctional Façade, Comfort Ceiling Fan), to improve energy efficiency (Plug&Play Energy Hub, Objective-based RES Implementation), to improve building operations (Sensible Building Data Handler), and to reduce construction waste (Strategies for Components End-Of-Life). Methodology: to accurately understand renovation issues and potentials (Cost-Optimal Energy Audit), to ensure an effective and participated design (Investor and Building User-Oriented Design Tool and Method based on BIM), to reduce construction time and failures (Deep Renovation Implementation Manag
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 'A new method for dynamic opinion modelling of surveys applied to vaccine hesitancy data'.

assistant: **Concept**

Vaccine hesitancy (delaying or refusing of vaccination) has been identified by the World Health Organization as one of the top-ten threats to global health. The spreading of vaccine-hesitancy in society is a complex phenomenon and no method can currently predict which countries will become vulnerable to this threat. Opinion dynamics models have enormous – as yet unrealised – potential to identify countries where vaccine-hesitant opinions are likely to spread or be resisted. They simulate the evolution of public opinion with computational models in which agents interact based on simple rules, with the goal of precisely modelling the spread of opinions in networks. However, while many successful theoretical models exist, few have been run on empirical data. This is because most models require detailed network information and are therefore not compatible with common data types (i.e. survey data). In this project, I will develop a novel method for reconstructing social network information from survey responses alone. First, the method will be validated using simulations. Then, it will be applied to secondary vaccine-hesitancy survey datasets to compare the predictive capability of different opinion dynamics models in this context. This study will provide two main outputs. First, a toolkit to identify societies most vulnerable to vaccine-hesitancy opinion spreading. Second, a method for inferring underlying social networks from survey data. This will have general value for research on any social issue related to opinion-coordination, e.g. climate change; GMOs etc. This fellowship will transfer my mathematical and computational modelling expertise to my hosts. At the same time, it will provide me with synergistic expertise in social science and network science as a platform f
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 'Upgrade of CaSToRC into a Center of Excellence in Simulation and Data Science' to be submitted under Horizon 2020.

assistant: **Abstract**

The project will upgrade the Computation-based Science and Technology Research Center of The Cyprus Institute (CyI) into a Centre of Excellence in Simulation and Data Science (SIMDAS) in Cyprus by teaming it with the Forschungszentrum Jülich (FZJ). Local partners are three public institutions as holders and providers of key data, the Departments of Antiquities, and Meteorology, and the Nicosia General Hospital, and two SMEs, Hyperion Systems Engineering, and SignalGeneriX connecting the center directly to commercial applications. During Phase-1 a comprehensive business plan for the six-year development of the center will be prepared with a detailed research, innovation and educational roadmap, governance structure, outreach and sustainability plan. Outreach and dissemination activities will engage the research communities, governmental institutions, and industry. The long-term vision of the SIMDAS project to be realized in Phase-2 revolves around five themes:i) Simulation and data science fundamentals, tools and services: Develop methodologies, tools and services, including mathematical modeling, scalable data analytics and simulations algorithms, statistics, data management, mining, security and visualization, under a Transversal Lab.ii) Simulation and data-driven research: Enable scientific breakthroughs in the key areas of Digital Cultural Heritage, Health and Life Sciences, Solar Energy, Earth System Science and Physical Sciences.iii) Government and Industry: Pursue applications of tangible innovation potential in partnership with public and private institutions utilizing the industry expertise and structures of FZJ.iv) Education: Expand graduate educational and training programs in SIMDAS.v) Infrastructure: Design and build the knowledge environment and infrastruct
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 'Cloud collaborative open platform for advanced brain analytics' demonstrating excellence, impact and implementation quality for a Horizon 2020 call.

assistant: **Abstract**

Understanding brain’s anatomy is one of the biggest challenges in science due to the difficulty to observe it in vivo and its enormous complexity. Neuroimaging is the only available tool for non-invasive quantification of brain pathology and injury. However, a single neuroimaging dataset can measure in the terabytes. As a result, big data analysis in neurology is an epically big challenge. Despite the advances in computer infrastructure, data transmission and imaging techniques cracking the brain requires a collective effort.However, collaborative research is severely limited due to bureaucracy and privacy issues regarding patients’ data. Additionally, existing visualization systems for brain images have serious interoperability issues and lack advanced quantification and image visualization tools that can help researchers better identify disease biomarkers and study large datasets. This greatly hinders our understanding of the brain and our capabilities to develop new treatments for brain disorders, which is critical considering that 165 million people are affected by brain disorders in the EU, with an estimated cost of €798 billion each year.The objective of Neuromapper is to create a new gold standard for collaborative research on neuroscience by providing an environment for secure data sharing in the cloud as well advanced data management, analytics and visualization tools. In addition, the platform will be open to external researchers so that they can develop new data visualization and image processing tools and share them with the community. As the community grows and the database of brain images reaches a critical mass, Mint Labs will be able to implement big data and deep learning techniques. This will allow the development of a decision support system able to a
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 'European Media Policies Revisited: Valuing and Reclaiming Free and Independent Media in Contemporary Democratic Systems' (MEDIADEM), addressing dissemination and exploitation.

assistant: **Impact**

Free and independent media are vital for the workings of democratic systems. Media structures which are free of interference from government, business or other social groups, and in which access of diverse views and opinions is effectively guaranteed, support democratic debate and sustain citizens’ active involvement in political and civic life.Given the strong interconnection between politics, business and the media, the creation and safeguarding of an environment supportive of media freedom and independence remain everywhere in Europe a continuous and open-ended process. In view of the important role the media play in providing information about the economy and political affairs, political and economic actors, but also socio-cultural elites regularly seek to exert an influence on domestic media policy-making.MEDIADEM seeks to understand and explain the factors that promote (or conversely hinder) the development of policies for free and independent media. The project will combine a country-based study in Belgium, Bulgaria, Croatia, Denmark, Estonia, Finland, Germany, Greece, Italy, Romania, Slovakia, Spain, Turkey and the UK with a comparative analysis across media sectors and types of media services, and will investigate the complex array of policy approaches and regulatory and self-regulatory practices established to safeguard media freedom and independence. In order to verify whether regulatory measures actually advance a more democratic political order through the diversification of media outlets, sources and content, the project will place them in their proper socio-political, economic and cultural context, and will examine how state and non-state perceptions about the role the media should play in contemporary society influence the implementation of the norms ena