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 'Expected Impact' section for the project 'Isolation and characterisation of novel proteases involved in plant programmed cell death, disease resistence and senescence' (1998-2002), addressing dissemination and exploitation.

assistant: **Impact**

Programmed cell death (PCD) mediates an array of developmental events in plants (e.g. leaf senescence, post harvest loss of nutritional quality) and mediates the response of plants towards pathogens and adverse environmental conditions (e.g. flooding and salinity stress). This project is focused on isolation and characterisation of novel plant proteases involved in PCD to provide tools for improvement of plant disease resistance and quality of food raw materials.
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 'Ultra-adaptive holographic computational imaging for seeing through random scatter, fibers, and around corners'.

assistant: **Objectives**

Optical imaging systems play an instrumental role in our modern life, from smartphones and automotive cameras to microscopes that are critical for clinical diagnostics. However, the penetration depth of even the most advanced systems is still unbearably limited by the inherent random scattering of light in complex samples. Examples span many applicative fields, including scattering in tissues and fog, limiting microscopes and laser-based systems. For decades, the notion of correcting scattering seemed unfeasible since it requires control of billions of optical modes. This conception changed a decade ago with the paradigm-shifting revolution of wavefront-shaping, demonstrating that scattering can be physically corrected using spatial light modulators with a number of pixels orders-of-magnitude smaller than the number of scattered modes. Wavefront-shaping led to astonishing breakthroughs, including my own works, from focusing through visually-opaque barriers to imaging around corners. However, beyond laboratory demonstrations, there is a fundamental gap in applying these revolutionary notions in most practical imaging applications, as wavefront-shaping is based on a physical, inherently 2D, limited-speed correction to a volumetric dynamic scattering problem, and it relies on known ‘guide-stars’ at the target. I propose a radically different route to remove these fundamental barriers and unleash the full applicative potential of wavefront-shaping, by shifting the burden from the physical hardware to a digital, naturally-parallelizable computational process. My approach is based on computationally emulating the optimal 3D wavefront-correction, found using only a few unique rapid holographic measurements. My solution is enabled by our recent discovery of guide-star free wave
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 'Darwinism and the Theory of Rational Choice' will create measurable scientific, societal and economic impact aligned with Seventh Framework.

assistant: **Impact**

The aim of the research project is to explore the relationship between Darwinian evolution and the theory of rational choice, from an overarching philosophical perspective. There exist deep and interesting links, both conceptual and formal, between evolutionary theory and rational choice theory. These arise because a notion of optimization, or maximization, is central to both bodies of theory. Evolutionary biologists typically assume that because of natural selection, animals will behave as if they are trying to maximize their Darwinian fitness (for some appropriate measure of fitness). This is the guiding assumption in much work on animal behaviour. Rational choice theorists typically assume that humans will behave as if they are trying to maximize a utility function. This is the guiding assumption in much work in social science. Thus there is a close parallel between the notion of fitness in evolutionary theory and the notion of utility in the theory of rationality. This parallel has been noted before, by workers in a number of fields, but has never been systematically explored from a philosophical perspective, and has been the source of considerable confusion in the literature.The research project has three inter-related strands. The first is to explore the thematic links between rational choice theory and Darwinian evolution, focusing on the fitness/utility parallel. The second is to examine whether there is an evolutionary foundation for the norms of traditional rational choice theory, such as expected utility maximization, Bayesian updating, and transitivity of preference. The third is to study the tension between individual self-interest and group welfare as it arises in both an evolutionary and a rational-choice context.The research will be carried out by the PI
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 Seventh Framework proposal on 'Mechanical pathways in cells: from molecular mechanisms to cell function'.

assistant: **Innovation**

How cells detect and respond to mechanical stimuli from their surroundings determines key processes in development, tumor formation and wound healing. However, while some molecules have been identified to possess mechanosensing capabilities, the molecular mechanical links by which cells withstand, transmit and detect forces remain unknown. In an analogy to the well-known concept of molecular biochemical pathways, we define this biophysical network of mechanical links as “molecular mechanical pathways”. We hypothesize that the molecules most likely to be directly experiencing forces applied from the extracellular matrix, which are the proteins that link extracellular matrix (ECM) receptors (integrins) to the actin cytoskeleton, are key components of these pathways. To our knowledge, only four such proteins, possessing binding sites to both integrins and actin, have been identified. These are talin, alpha-actinin, filamin, and tensin. I thus propose an interdisciplinary project aimed at identifying how talin, alpha-actinin, filamin, and tensin form the dynamic molecular pathways that communicate cells mechanically with their environment. In objective 1, a novel magnetic tweezers device and Atomic Force Microscopy will be employed study the role of these proteins in detecting, withstanding, and transmitting forces from the ECM. In objective 2 dynamic force protocols will be employed to determine the impact of real-life constantly changing cellular forces on these mechanical pathways. In objective 3, the molecular mechanisms behind these pathways will be elucidated by combining Fluorescence Resonance Energy Transfer (FRET) microscopy with AFM and observing how mechanical stimuli regulate protein stretching and binding. While the methods proposed and scientific questions add
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 'Advanced Data Methods for Improved Tiltrotor Test and Design' (ADMITTED).

assistant: **Innovation**

Flight testing is an important phase during the development of an aircraft to validate the design. During flight, data is gathered and design problems are identified and solved. The collected data are fundamental for the analysis and Aircraft are properly instrumented to generate large amounts of information. Such huge amount of data needs to be properly evaluated and traditional methods and platforms are no more effective. Flight testing is a significant cost contributor to the aircraft production life cycle and is still extensively deployed. Flight test programmes take several years and more prototypes are built to reduce lead times. Strong adherence to rigour safety and certification requirements and generally unchanged circular advisories inhibit the potential improvement of flight test designs. Innovative algorithms and statistical estimation are not achieving its full potential in the industrialized flight testing environment. The methods in this proposal increase the quality and productivity of an experiment, leading to a required test point reduction or increased predictive capabilities. The purpose of this project is to define and implement a state-of-the-art platform able to support data analysis. This is achieved by adopting a complex hardware architecture to support big data analysis and implementing specific algorithms to support data correlation, time series management and statistical analysis. Furthermore, to support flight test engineers, novel approaches based on machine learning are provided to support the technicians in detecting specific flight conditions. The same platform is also adapted to support the development of the Next Generation Civil Tilt Rotor Technology Demonstrator.


**Keywords:** Big Data, Machine Learning, Flight data analysis
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 'HUMAN AIRCRAFT ROADMAP FOR VIRTUAL INTELLIGENT SYSTEM' under Horizon 2020.

assistant: **Concept**

The overall objective of HARVIS project is to identify how cognitive computing algorithms implemented in a digital assistant could support the decision making of a single pilot in complex situation. A roadmap will be produced in order to help the EU and CS2 JU in their work of influencing the research and development funds in the next decade.
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 'DISTANCE EDUCATION AND TUTORING IN HETEROGENEOUS TELEMATICS ENVIRONMENTS' will create measurable scientific, societal and economic impact aligned with Fourth Framework.

assistant: **Impact**

Initiated by the Spanish National Distance Education University (UNED), DEMOS will develop distance education in which cooperation among teachers and learners will be flexibly supported. The project will hinge on four main groups of multimedia applications covering very varied telematics environments. These flexible delivery methods will help students learn what, where and when they please and at their own pace. DEMOS will use a cost-effective common hardware platform to avoid hardware supply problems. Validation will involve over 120 users in Spain, Austria, Greece and Portugal.The DEMOS proposal is born as an initiative of the UNED (Spanish National Distance Education University). UNED has a plan to cover their needs of new distance learning applications to be used in the current and future telecommunication networks.The scope of our work is to design and develop a distributed educational environment for distance education scenarios where cooperation among teachers, learners, tutors and experts will be supported in a very flexible way. It is focused in the development of multimedia CSCW applications for education over heterogeneous telematics environments.In this project 4 main groups of applications are going to be developed:- Collaborative hypermedia editor and common interoperability of applications toolbox.- Distributed virtual classrooms.- The computer integrated classroom with intelligent support.- Asynchronous collaborative learning tools.The applications may be tailorable to the different kinds of users and the different infrastructures available to facilitate the demonstration and exploitation phases. Each application will also be able to be executed in point to point and multipoint modes.A common hardware platform that will consist on PC's workstations with
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 Horizon 2020 proposal on 'Unrestricted Divide-Expand-Consolidate Coupled Cluster Methods for Large Open-Shell Molecules'.

assistant: **Innovation**

Computational chemistry is a modern and multidisciplinary subject, which underpins many areas of chemistry, physics, biology and material science. Due to recent advances in both theory and computational facilities, it is now quite clear that computational chemistry has reached the point where it should be considered as an equal partner to experiment and that in some cases it may even guide and unite the experimental efforts across multiple scientific disciplines.The proposed “DECOS” project (Unrestricted Divide-Expand-Consolidate Coupled Cluster Methods for Large Open-Shell Molecules), addresses one of the most challenging problems of contemporary computational chemistry: the ability of theoretical modeling to describe accurately large open-shell systems (molecules with one or more unpaired electrons) at affordable computational costs. To this end the Divide-Expand-Consolidate (DEC) scheme must be extended to unrestricted formalism. The new method constitutes crucial breakthrough because it combines linear scaling and rigorous error control of the established DEC scheme with the ability of treating large open-shell systems for biological and industrial use. Indeed, magnetic and catalytic properties, reactivity and spectroscopy often must be entirely attributed to special electronic structure of the open-shell systems. Additionally, through collaboration with Oak Ridge National Laboratory, the new methods will be implemented, tested and run on “TITAN” – one of the largest super computers in the world.Besides cutting edge science proposed in the project, it will also become a crucial step towards reaching professional maturity and independence in the applicant’s career. The project has potential for creating broad scientific impact and to establish long-term collaboration
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 'Spectral Statistics of Structured Random Matrices' under Horizon 2020.

assistant: **Concept**

The purpose of this proposal is a better mathematical understanding of certain classes of large random matrices. Up to very recently, random matrix theory has been mainly focused on mean-field models with independent entries. In this proposal I instead consider random matrices that incorporate some nontrivial structure. I focus on two types of structured random matrices that arise naturally in important applications and lead to a rich mathematical behaviour: (1) random graphs with fixed degrees, such as random regular graphs, and (2) random band matrices, which constitute a good model of disordered quantum Hamiltonians.The goals are strongly motivated by the applications to spectral graph theory and quantum chaos for (1) and to the physics of conductance in disordered media for (2). Specifically, I will work in the following directions. First, derive precise bounds on the locations of the extremal eigenvalues and the spectral gap, ultimately obtaining their limiting distributions. Second, characterize the spectral statistics in the bulk of the spectrum, using both eigenvalue correlation functions on small scales and linear eigenvalue statistics on intermediate mesoscopic scales. Third, prove the delocalization of eigenvectors and derive the distribution of their components. These results will address several of the most important questions about the structured random matrices (1) and (2), such as expansion properties of random graphs, hallmarks of quantum chaos in random regular graphs, crossovers in the eigenvalue statistics of disordered conductors, and quantum diffusion.To achieve these goals I will combine tools introduced in my previous work, such as local resampling of graphs and subdiagram resummation techniques, and in addition develop novel, robust techniques 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 the 'Objectives and Scope' section of a Horizon Europe proposal for the project 'Circular hydrometallurgy for energy-transition metals'.

assistant: **Objectives**

CIRMET will lead to a new approach to hydrometallurgy, called “circular hydrometallurgy”, with a focus on the design of energy-efficient flowsheets or unit processes that consume a minimum amount of reagents and produce virtually no waste. CIRMET has the ambitious goal to replace the traditional, linear hydrometallurgical flowsheets for extraction and refining of the “energy-transition” metals cobalt and nickel into a next-generation, circular flowsheet, which (1) consumes no chemicals other than (green) hydrogen, water and carbon dioxide (taking advantage of the unique chemical properties of carbon dioxide); (2) uses the acid for the leaching process as a “catalyst” that is continually regenerated rather than consumed; (3) reduces the net consumption of acids and bases to virtually zero through ingenious manipulations of chemical equilibria via solvent extraction; and (4) comprises a virtually zero discharge of solid and liquid waste streams. As such, CIRMET can drastically reduce the environmental footprint of hydrometallurgical processes. To enable such circular flowsheets, a new theoretical chemical thermodynamic framework for multiphase electrolyte equilibria involving two immiscible liquids and innovative unit operations for sustainable metal and sulphur recovery are developed. Hydrometallurgical processes are approached from a molecular level. Liquid-liquid equilibria are modelled by Gibbs-energy-minimisation (GEM) methods, rather than by solving law-of-mass action (LMA) equations. The proof of concept of circular flowsheets is demonstrated for metal recovery from real, complex (rather than synthetic), impurity-bearing input streams: nickel laterites, cobalt-nickel sulphide ores, mixed hydroxide precipitate (MHP), and mixed sulphide precipitate (MSP). Only by com
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 Seventh Framework proposal on 'Monitoring Intracranial Pressure'.

assistant: **Innovation**

The most common cause of death in neurosurgical patients is raised intracranial pressure and therefore it is essential that accurate monitoring of this pressure is undertaken clinically.  Currently there are no non-invasive methods available.  The overall aim of this research proposal is to develop a novel method for monitoring intracranial pressure.  The overall aim will be achieved by undertaking the following complementary research objectives:1) To measure the viscoelastic properties of skull and brain tissue;2) To create a computational model of the skull and brain tissue to develop an understanding of the relationship between strain in the skull and intracranial pressure;3) To establish a real-time monitoring system for intracranial pressure;4) To develop a physical model that can be used to validate the computational model.The Bio-medical Engineering Research Group at the University of Birmingham has a wide range of skills and expertise in the application of engineering to solving medical problems.  The research areas have traditionally been orthopaedics and cardiovascular.  The Incoming Fellow, Dr Xianfang Yue from the University of Science and Technology (Beijing, China), will bring a new research area in neurological structures and the aim is for the knowledge to be transferred to the University of Birmingham and embedded within the researchers of the Bio-medical Engineering Research Group.  The knowledge transfer objectives are:1) To transfer Dr Xianfang Yue’s state of the art knowledge to the host;2) To transfer knowledge to the wider bio-medical engineering community in UK and Europe;3) To transfer knowledge of bio-medical engineering techniques at the University of Birmingham to Dr Xianfang Yue.