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 clear, measurable objectives and define the scope for the project 'Sparse Structured Methods for Machine Learning' (SIERRA) under Seventh Framework.

assistant: **Objectives**

Machine learning is now a core part of many research domains, where the abundance of data has forced researchers to rely on automated information processing. In practice, today, machine learning techniques are applied in two stages: practitioners first build a large set of features; then, off-the-shelf algorithms are used to solve the appropriate prediction tasks, such as classification or regression. While this has led to significant advances in many domains, I believe that the potential of machine learning is far from being fulfilled. The tenet of this proposal is that to achieve the expected breakthroughs, this two-stage paradigm should be replaced by an integrated process where the specific structure of a problem is taken into account explicitly in the learning process. This will allow the consideration of massive numbers of features, in both numerically efficient and theoretically well-understood ways. I plan to attack this problem through the tools of regularization by sparsity-inducing norms. The scientific objective is thus to marry structure with sparsity: this is particularly challenging because structure may occur in various ways (discrete, continuous or mixed) and my targeted applications in computer vision and audio processing lead to large-scale convex optimization problems. My research program is expected to have a high impact on statistical machine learning research, notably by providing new solutions to the open problem of non-linear variable selection. Moreover, my general methodology will be directly applied to domains where the natural structure of data has been recognized as crucial but is still underused by learning techniques, namely computer vision (object recognition, image denoising) and audio processing (speech separation, music recognition).
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 'ERA-NET bionergy' goes beyond current state-of-the-art under Sixth Framework.

assistant: **Innovation**

Renewable energy provides a strategic alternative to fossil fuels which helps to supports The EUS energy policyon environment and security of energy supply Bioenergy. lhe largest energy contributor for the EU-15's renewable energy consumption, has diversified resources, complex technologies, a wide range of products anddiversified markets (power, heal. biofuels and gases). This makes bioenergy a challenging development withgreat potential and world-wide impact.The 24 European countries spent around 220 million on Research and Development in Bioenergy in 2001, ofwhich 80% of this hudget was trom the six ERA-NET partner states. It was recognised that public funds could beused more effectively and efficiently, and development accelerated, if strong co-operation and co-ordination ofnational research activities can be achieved through networking.The objective of the project is to establish structural co-operation between national bioenergy researchprogrammes in the member states. To support the implementation of the co-operation a step by step, pragmaticand flexible approach will be followed, leading towards transnational research pilots.The following activities will be earned out: Systematic exchange of information and best practices on national programmes and networking toset research priorities, and share programme management practices Set up common strategic issues to analyse research activities that could lead to multinational schemes.and identify administrative or legal barriers that could hinder transnational co-operation, practical networkingactivities and mutual opening mechanisms Joint activities to develop multinational evaluation procedures, common programme monitoring andevaluation, enable personnel exchange at programme manager level, and develop a joint bioene
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 'Training and capacity building for data information in support of Euro-African collaboration on research in global change' in the context of a Fourth Framework call.

assistant: **Objectives**

RTD actions implementing ENRICH are part of accompanying measures of the Environment and Climate Programme, the Marine Science and Technology Programme and the International Cooperation Programme. CORDIS generally does not held information on accompanying measures of RTD programmes. Therefore for further details please contact: Ib Troen, European Commission, DGXII.D.I at ib.troen@ec.europa.eu.
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 'Mechanical Immunoengineering for Enhanced T-cell Immunotherapy' will create measurable scientific, societal and economic impact aligned with Horizon 2020.

assistant: **Impact**

Cancer immunotherapy harnessing the power of a patient’s immune system to fight cancer is transforming the standard-of-care for cancer. Adoptive cell therapy (ACT), a potent immunotherapy that directly infuses a large number of tumour-reactive T cells into patients, has elicited dramatic clinical responses in leukaemia patients recently. However, solid tumour remains a major challenge as tumour employs a number of strategies to prevent effector T cells reaching the tumour sites and attacking cancer by generating a highly immunosuppressive microenvironment. Current strategies are focused on controlling the immune system or the microenvironment using biochemical immunomodulatory reagents to enhance T cell based immunotherapy. Approaches exploiting biophysical and mechanical cues for immunomodulation are largely underappreciated. In this proposal, we aim to exploit mechanical immunoengineering strategies through biophysical cues to develop novel immune related treatments to enhance the efficacy and safety of adoptive T cell therapy for cancer. We will first develop a mechano-training approach to promote the T cell infiltration into tumour tissues using engineered microfluidic system for controlled force application on T cells in a high through-put manner. Second, we will develop a mechano-responsive nanoparticle delivery system to selectively deliver T-cell-supporting drugs in tumour to overcome the immune suppression in the microenvironment and enhance T cell functions for killing cancer. Third, we will develop mechano-inducible cytokine-secreting T cell therapies to augment the efficacy and minimize the toxicity of ACT by exploiting and targeting the difference in tissue stiffness between tumour and healthy tissues. This proposed project will open a new horizon for immun
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 'Watertime: improving the quality of urban life through sustainable decision-making on city water system reform' (WATERTIME) under Fifth Framework.

assistant: **Objectives**

The project addresses the issue of how to improve the quality of urban life by reaching economically, socially and environmentally sustainable decisions on water systems in cities. The team of partners is drawn from different parts of Europe - Spain, Italy, UK, Germany, Finland, Hungary - and with a range of expertise, including economics, political science, environmental science and law, water institutions. The project will study current decision-making on water systems in 29 European cities, and long-term historical experience. Two final reports will be produced: one on best practices, and the other developing a model for participative decision-making. The work will be disseminated to stakeholders and public authorities, who will also be involved during the course of the research.
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 'Revealing multi-scale community dynamics supporting species coexistence in threatened oceanic liverwort-rich communities' (LIVCOM) under Horizon Europe.

assistant: **Objectives**

The microbial communities living in and on plants (microbiomes) are key drivers of plant success and community composition. This interaction between macro- and micro-communities is rarely incorporated into ecological theories about species coexistence, but the advancement of sequencing technologies now opens up opportunities to build experimental models for these complex feedbacks. The small size and haploid dominance of bryophytes (mosses, liverworts, and hornworts) make them prime candidates for tractable, compact models of plant community microbiome dynamics. LIVCOM focuses on understanding the diversity of rare and threatened oceanic liverwort-rich communities (OLCs) and developing resources to use them as just such a model. LIVCOM integrates ecological, phylogeographic, and genomic methods to characterize the community, intraspecific, and microbial diversity of OLCs. Beyond new scientific knowledge and resource development, LIVCOM will also be able to inform conservation efforts for the rare plants found in OLCs. LIVCOM will be implemented at the Natural History Museum of the University of Oslo (UiO), with a secondment to the Royal Botanic Garden Edinburgh. LIVCOM will prepare the fellow for a career as a bryophyte microbiome expert in the European academic sector by increasing her international networks, breadth and depth of biological expertise, and intersectoral experience.


**Keywords:** microbiome, bryology
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 'Political Economy with Many Parties: Strategic Electorate and Strategic Candidates'.

assistant: **Concept**

Most real-life elections involve many candidates. Coordination problems in multicandidate elections make the strategic behavior of political agents fundamentally different than in two-candidate elections. The literature’s typical focus on two-candidate settings is thus a clear handicap to understand elections outside the US. The main objective of this project is two-fold: (i) generating new methodological tools to analyze the behavior of candidates and the electorate in multicandidate elections, and (ii) using those tools to generate new knowledge. These are crucial steps toward designing better political institutions.Component 1 focuses on the strategic behavior of voters. The objectives are: (i) to develop a more realistic model of strategic voting by including both strategic and non-strategic voters; (ii) to estimate the share of strategic and non-strategic voters in the electorate using laboratory experiments; (iii) to study voter behavior under relevant electoral rules, and their equilibrium properties.Component 2 focuses on campaign contributions. The methodological challenge is to develop a novel model that captures the coordination problems faced by contributors. Though this topic deserves study in and of itself, it is not the only rationale for this component. Given similarities between strategic voting and strategic contributing, I am convinced that innovations in modelling strategic voting could emerge.Component 3 jointly studies the behavior of the electorate and candidates. The methodological challenge is to develop a novel model sufficiently simple to be used in many institutional setups, but sufficiently sophisticated to capture the subtleties of the strategic interactions between candidates and the electorate, and within each group. I consider two differ
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 'Mechanism Design for Data Science' (MDDS) under Horizon 2020.

assistant: **Objectives**

The way data science algorithms and techniques, central to the Internet and on-line media, are designed need to be revolutionized. Current designs ignore participants' strategic incentives. Our vision is the establishment of an entirely new repertoire  of incentive-compatible data science algorithms and techniques, obtained through pioneering the application of game-theoretic mechanism design for data science.  Game theory is the branch of mathematics dealing with the modeling and analysis of  multi-agent interactions.   Mechanism design is the part of game theory that deals with the design of protocols/algorithms for environments consisting of self-motivated participants. Mechanism design has been central to bridging computer science and  game theory. It has been widely applied to electronic commerce, advertising and routing networks, and led to significant contributions. On the other hand, data science is flowering, with major applications in search and information retrieval, on-line recommendation systems, clustering and segmentation, and social networks analysis. Quite surprisingly, although the incentives of publishers/firms/customers in such data science contexts are of great importance, mechanism design in the related settings has been almost completely neglected.  The proposal aims at building theoretical foundations, providing algorithms, as well as validating through experiments, a fundamental bridge between mechanism design and data science. The ultimate success of this research would be the replacement of classical relevance ranking, segmentation, on-line explore \& exploit, and influencers' detection  algorithms by incentive-compatible ones, creating the next generation of data science algorithms..
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 'Advanced Techniques in Computational Mechanics'.

assistant: **Innovation**

As the range of phenomena that need to be simulated in engineering practice broadens, the limitations of conventional computational methods, such as finite elements (FE), finite volumes or finite difference methods, have become apparent. There are many problems of industrial and academic interest which cannot be easily treated with these classical methods. To overcome the limitations of classical methods, several advanced discretization techniques (mesh-free methods, extended/generalized FE or Dicontinuous Galerkin methods) have recently become very popular in the research community. However, despite their high potential and the important effort devoted to them in the last decade, advanced techniques require still very much attention to reach the popularity of conventional techniques for industrial applications. In fact, engineers are usually not trained in these techniques. The purpose of the ITN research project is to advance in the development and analysis of advanced techniques, with special attention to particular industrial applications of interests in the framework of computational mechanics. However, the introduction of new techniques in industry is only possible if industrial researchers have a deep knowledge and confidence on these techniques and are aware of their advantages. The ITN training program is addressed to researchers that, in the future, may be incorporated in industry. It is based on training-through-research with individual research projects, active participation in network activities and a wide offer of specific courses. In present, the network partners have a wide offer of training courses (joint Erasmus Mundus Master of Science in Computational Mechanics, etc). No experienced researchers or visiting professors are considered in this proposal.
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 'MONITORING AND DETECTION OF BIOTIC AND ABIOTIC POLLUTANTS BY ELECTRONIC, PLANTS AND MICROORGANISMS BASED SENSORS' (Mobiles), addressing dissemination and exploitation.

assistant: **Impact**

Currently there are no portable test or biosensors validated for air, soil or water quality control for pathogens, Chemicals of Emerging Concern (CECs) and Persistent Mobile Chemicals (PMCs), so such devices are much awaited by all stakeholders to ensure successful control and prevention of contamination and infections. Mobiles consortium will develop an interdisciplinary framework of expertise, and tools for monitoring, detection, and consequently mitigation of pollution from pathogens, CECs, PMCs, thus benefiting human and environmental health. Mobiles consortium will work to achieve the following objectives:Develop electronic biosensors for monitoring organic chemicals (pesticides, hormones) and antimicrobial resistance bacteria and pathogens in water, soil and air;Develop organism-based biosensor for detection of organic and inorganic pollution in water and soil;Study environmental performance of developed organisms and devices;Metagenomics analysis of organisms leaving in polluted areas in order to enable searches for diverse functionalities across multiple gene clustersPerform safety tests (e.g., EFSA) to assess the impact of developed organisms on the natural environment.Organism-based biosensor will consist on genetically modified chemiluminescent bacteria able to detect antibiotics, heavy metals, and pesticides in water; genetically modified plants that will change colour when in the soil is present arsenic; and marine diatoms that will be used to detect bioplastic degradation in marine and aquatic environments. Developed devices and organisms will be implemented by using flexible technologies, which can guarantee an easy adaptation to other biotic and abiotic pollutants. Devices and organisms, after proper validation and approval, could be used by consumers, 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 'State of the Art and Innovation' section for a Seventh Framework proposal on 'Into the Icehouse -Ocean temperatures from CLumped Isotopes in Benthic and planktic foraminifera across the Eocene-­Oligocene climate transition'.

assistant: **Innovation**

Analysis of the geologic record shows that Earth’s temperature raised suddenly, and plunged precipitously, many times in its history. These abrupt climate transitions presumably occurred because tipping points in the climate system were exceeded. What is the nature of these tipping points? About 34 million years ago one of these abrupt changes occurred, when Earth's climate shifted from a relatively ice-free world to one with glacial conditions and substantial ice sheets on Antarctica. How global climate and the ocean’s temperatures at surface and in the deep changed during this climate transition remains poorly understood, and evidence for the development of Northern Hemisphere polar ice sheets is controversial. The goal of CLImBP is to investigate this climate transition through the application of the new and powerful paleo-thermometer: clumped isotopes in carbonates. CLImBP will apply this method on benthic and planktonic foraminifera from samples across Eocene-Oligocene climate transition and accurately reconstruct changes in sea-surface and deep-sea temperatures. These reconstructions will be used to test climate model simulations of this transition and improve our understanding of tipping points in the climate system, which is important for the comprehension of modern global climate change.