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: Compose a compelling abstract for 'Action concertée pour le développement des centrales d'achat en médicaments essentiels en Afrique Sub-Saharienne' demonstrating excellence, impact and implementation quality for a Fourth Framework call.

assistant: **Abstract**

1.1 General ObjectiveThe general objective of this concerted action is twofold, namely:* to facilitate and consolidate the setting up and the operation of ED purchasing offices in developing countries and* to improve the general working of the essential drugs strategy1.2 Specific ObjectiveThe specific objective of this concerted action is to identify the positive and negative political, administrative, economic, legal and technical factors affecting the success of the creation of ED purchasing offices, checking their frequency and importance, proposing possible alternatives, and, if possible, identifying the solutions that have given the best results.Expected OutcomeTwo reports will come out of this work:1.2.1 Evaluation of the purchasing office problemThis document will consist of two sections:* the history of central pharmacies and the analysis of the difficulties that are encountered.* an analysis of interventions to date and proposed alternatives (revitalising central pharmacies, setting up autonomous medical store offices) and the identification of factors of success or failure in each alternative.The first phase of this concerted action will cover a one to two-year period and consists of the following two main stages:First stage:* Assessment of experiences with purchasing offices to date, and a search for a consensus on the priority issues.* Drafting of the two reports collectively (see par 1.2)* Identification of research priorities for the second phase of this concerted action.This first stage will revolve around preparing for and holding a seminar for the concerted action's participants. Resource persons will be invited, as needed, according to their experience in specific areas. The topics that will be covered during this first seminar are given under par. 2 O
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 'Incorporating Demographic Factors into Natural Language Processing Models' to be submitted under Horizon 2020.

assistant: **Abstract**

The goal of INTEGRATOR is to develop novel data sets, theories, and algorithms to incorporate demographic factors into language technology. This will improve performance of existing tools for all users, reduce demographic bias, and enable completely new applications.Language reflects demographic factors like our age, gender, etc. People actively use this information to make inferences, but current language technology (NLP) fails to account for demographics, both in language understanding (e.g., sentiment analysis) and generation (e.g., chatbots). This failure prevents us from reaching human-like performance, limits possible future applications, and introduces systematic bias against underrepresented demographic groups.Solving demographic bias is one of the greatest challenges for current language technology. Failing to do so will limit the field and harm public trust in it. Bias in AI systems recently emerged as a severe problem for privacy, fairness, and ethics of AI. It is especially prevalent in language technology, due to language's rich demographic information. Since NLP is ubiquitous (translation, search, personal assistants, etc.), demographically biased models creates uneven access to vital technology. Despite increased interest in demographics in NLP, there are no concerted efforts to integrate it: no theory, data sets, or algorithmic solutions. INTEGRATOR will address these by identifying which demographic factors affect NLP systems, devising a bias taxonomy and metrics, and creating new data. These will enable us to use transfer and reinforcement learning methods to build demographically aware input representations and systems that incorporate demographics to improve performance and reduce bias. Demographically aware NLP will lead to high-performing, fair sys
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 'Services for inter- and cross-disciplinary data discovery, access, sharing and reuse in the EOSC Federation' (2021-2027) targeting Horizon Europe.

assistant: **Abstract**

The EOSC Data Commons project’s mission is to contribute to tThe EOSC Data Commons project’s mission is to contribute to the establishment of EOSC as the European Research Commons, a global trusted ecosystem that provides seamless access to high-quality interoperable research outputs and services that enable European researchers to collaborate more easily, be more productive and achieve higher levels of excellence. The project achieves this with innovative EOSC Exchange services for improving and accelerating data lifecycle management supporting discovery, analysis, deposition, preservation, sharing, use and reuse of research data in a European data and compute continuum that builds on the capabilities of the EOSC EU Node, national and European infrastructures for data-intensive research and a community of federated repositories from national, institutional and thematic initiatives. The project will deliver: (1) a AI-based Analytics-Oriented Metadata Warehouse and Discovery Service; (2) a federation of data repositories from different providers enriched by scientific  applications and data analytics tools; (3) a Catalogue of data analytics tools (4) an Execution Service for tool deployment and execution; (5) metadata specifications for the reproducible and interoperable execution of analytic tools;(6) a FAIRness assessment and reproducibility toolset and related policies.Innovation is led by multidisciplinary and thematic use cases from Social Sciences and Humanities, Physics, Life Sciences, Biology, Heath and Medicine, and Environmental Science. The project’s pan-European consortium involves open source technology providers, major national and thematic data repositories, and user communities contributing to co-design, testing and validation with their use cases. By wor
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 'MIGRANTS IN THE POLITICS OF ENERGY DECARBONISATION' under Horizon Europe.

assistant: **Concept**

Migrants In the Politics of Energy Decarbonisation (MIPED), a research project conducted by Rocío Hiraldo under the supervision of David Jordhus-Lier at the University of Oslo (UiO), will study the place of migrant workers in the politics of energy decarbonisation, a question underexplored in the literature yet highly relevant due to the growing recognition of the need of migrant labour in the attainment of European climate targets in the energy sector. Focusing on four case studies in Spain, MIPED will examine how the inclusion and exclusion of migrant workers’ labour concerns in mobilisations around energy decarbonisation is shaped by the socio-spatial interactions of migrant workers with labour, environmental and climate activists in this context. Through a combination of different fields of research, a qualitative and innovative methodology, a consideration of social inequalities intersecting this research question together with ethical and environmental issues, MIPED will address three research objectives: mapping how migrant workers’ experiences of (changes in) their labour conditions in the context of energy decarbonisation; studying how these experiences are taken into consideration by activist organisations mobilising around energy decarbonisation; exploring the social relations and socio-spatial interactions between these organisations and migrant workers. MIPED will reach academics, policy-makers, activists and society through the production of various research outputs including: 3 articles authored by the researcher, 1 to 3 articles co-authored by the researcher and academics at UiO, a policy brief, blog and newspaper articles, social media dissemination, an academic workshop, two project videos and a project blog page. The researcher’s background on MIPED 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: Write clear, measurable objectives and define the scope for the project 'Calibration and testing for the evaluation of plywood glue bond performance in accordance with en 314-1 and en 314-2' (PLYWOOD) under Fifth Framework.

assistant: **Objectives**

This project responds to the dedicated call Topic 1.8, in support to the EU policy relating to the CPD, mandate M/113,CEN/TC 112, EC 5 and Notified Bodies SG 20. Each of the objectives described in the call is addressed and will result in the development of a PC-based training and calibration system for plywood glue-bond performance according to EN 314-1/2.The principal objectives are to produce:- A prototype of an image system including output interfacing with a PC database system taking into account a range of plywoods - wood species and glue types- A database user programme including factory and training/statistic user programmes for the ongoing updating of personnel involved in evaluation of wood fiber failure.- A uniform registration system for records with regard to parameters required in EN standards.- Harmonised procedures and guidelines for the practical use of the system- in internal control situations for internal training and 'Round Robin'.- in external control situations for 'Round Robin' between laboratories and between control body and factory.- CD and manual for the image system and database system, including final exploitation and marketing planThe outcomes of the project are presented in the final report of the project. The principal outcomes are highlighted as follows:(WP1) PC system: image methods, systems and software. Auto evaluation system for wood fibre failure percentage (WFF): PlyWoodFail. It consists of - Software for the automatic inspection of shear failure surface and image analysis of wood fibre percentage. - Suitable hardware identified: standard PC/Windows office computer, office scanner. - Specific sample holder for scanning process.(WP2) PC system: database software and input Database software for plywood internal factory and external
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 'Labour and Practices of Women in Publishing During the Democratic Transitions in Argentina (Ada Korn Editora, 1984-1989) and Spain (Ediciones Torremozas, 1982-1986)', explaining its relevance to EU policy priorities under Horizon Europe.

assistant: **Impact**

This research project is framed at the intersection between the history of publishing, sociology and literature studies, with specific focus on gender, bibliodiversity in the creative economy of publishing, and the narrative shaping of democracy. It proposes a comparative study of the yet-to-be-explored archives of two small, independent publishing houses established and led by women in mutual contexts of post-dictatorship transition to democracy: Ada Korn Editora, founded by Ada Korn in 1984 in Buenos Aires, in the immediate aftermath of the 1976-1983 civic-military dictatorship in Argentina; and Ediciones Torremozas, founded by Luzmaría Jiménez Faro in 1982 in Madrid, following Franco’s 36-year dictatorship in Spain (1939-1975). During this period of social effervescence, AKE and ET expanded the limits of the literary field challenging whom and what is considered published literature supporting cultures of democracy within the publishing sector. Scholars have announced the crisis of print culture aggravated with the increasing power of digital platforms and the erosion of the authority of public intellectuals. Nonetheless, the economic and cultural weight of creative industries is significant and the publishing industry remains a privileged space to spread ideas, and affect the social and political landscape. The current democratic deficit various countries experience, such as Argentina following the 40th anniversary of the return of democracy, reinforce inequalities within creative industries that reproduce disparities when deciding which narratives circulate. This endangers bibliodiversity and gender equality. The case studies will be analysed within the transnational field of literature by focusing on material, aesthetical, and social dimensions.


**Keywords:** So
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 'Dynamic Modeling of Non-Pharmacological Interventions for Type 2 Diabetes' in the context of a Horizon Europe call.

assistant: **Objectives**

The prevalence of type 2 diabetes (T2D) is projected to increase by 100 million within years. However, while lifestyle changes are recommended by the WHO to counter & mitigate diabetes, comprehensive intervention experiments that consider the interplay of different lifestyle factors are lacking, as are clinical tools to evaluate such interplay. The present project will address these outstanding issues through two major undertakings:(1) A first long-term dynamic intervention experiment encompassing multiple lifestyle factors (diet, sleep & exercise) will be conducted in 200 subjects with & without T2D. The participants’ daily multimodal health data (biochemical markers, sleep, questionnaires, etc.) will be recorded, to form a high-resolution dynamic intervention database with unprecedented integrative & temporal resolution, which will be stored securely and made available for fellow scholars and the public to take advantage of.(2) The project will, for the first time, use the concept “Order Parameters” from statistical physics to represent different health states treated as distinct “ordered statuses”. Thus, a novel multimodal model will be built to characterize the temporal evolution of health variables that the modelling pinpoints as being the most predictive longitudinal parameters. The project will thus enable personalized predictions for holistic health trajectory, by analyzing the general physical laws followed by the temporal evolution of model parameters, also in relevant T2D & healthy subgroups.The two undertakings provide excellent quality control & risk assessment via six tailored work packages consisting of 32 milestones and 4 deliverables. This will provide an effective assessment tool for public health monitoring, at both the individual & policy level. More
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 'Networks, collective learning and RTD in Regionally-Clustered High-Technology SMEs' demonstrating excellence, impact and implementation quality for a Fourth Framework call.

assistant: **Abstract**

This thematic network will investigate the role and importance of regional and European-wide research and technological linkages and networks in the evolution and competitiveness of regional clusters of high-technology SMEs. It will also assess the significance of collective learning processes operating within the regional scientific, research and professional labour market.Issues to be analysed in the six workshops to be organised (two per year): - To assess European regional clusters of RTD intensive SME evolution and types of specialisation and influence of policy initiatives. - To investigate different focus of networking SMEs - university/research institutes - large firms. - To evaluate the importance of collective learning on regional labour market. The results of this thematic network are expected to enhance understanding, based on European-wide comparative analysis of processes of regionaly-clustered RTD-intensive SME growth and RTD networking.
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 'Effect of land use induced shifts in soil microbial diversity and function on carbon cycling in soil' to be submitted under Horizon 2020.

assistant: **Abstract**

The need for improved food production for the growing population has led to increase in planet’s arable land cover. Many studies suggest that such practices lead to loss of soil organic carbon (C) – a relatively large C pool with a fast response time. Thus there is a need to manage soils sustainably in order to mitigate atmospheric CO2 levels while maintaining agricultural productivity. Soil microorganisms act as gatekeepers for soil-atmosphere C exchange by regulating the storage and release of organic C in soil. However, there is a lack of understanding on how land use induced shifts in soil microbial diversity affects this regulation; necessitating detailed research on the underpinning microbial mechanisms. The project objective is to discern the effects of land use on microbial diversity in differing soil types and to investigate whether this shift has implications for C cycling (do certain microbial groups have a greater capacity for soil C accumulation?). To address these objectives an interdisciplinary approach merging molecular biology and isotope chemistry will be employed. Soil from long-term grassland-arable paired sites will be used to assess differences in microbial biodiversity and functional gene abundance through DNA next-generation sequencing. In addition, a field incubation experiment with 13C labelled substrates will be performed to investigate the variable tracer incorporation into different microbial functional groups. This will be measured using novel magnetic bead capture hybridization of RNA from specific groups followed by its 13C analysis using liquid chromatography-isotope ratio mass spectrometry. The novelty of this project is that it aims to provide direct evidence to prove diversity-function linkages and gain mechanistic understanding of 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 the concept and methodology overview for 'Estimating the ice volume of Earth's glaciers via Artificial Intelligence and remote sensing' under Horizon Europe.

assistant: **Concept**

Estimating the ice volume of Earth's glaciers is a grand challenge of Earth System science. Besides being a critical parameter to model glacier evolution, knowledge of glacier volume is fundamental to quantify global sea level rise and available freshwater resources. Under current global warming glaciers are losing mass, making improved glacier ice volume estimates a top-priority to constrain future climate scenarios. Direct glacier ice volume estimates are limited by difficulty in directly measuring the ice thickness. As a result, estimates rely on models, many of which depend on explicit physical laws but require parameters often poorly constrained. Today, the amount of satellite data is increasing at such a rate that it cannot be efficiently exploited by traditional processing pipelines. At the same time, Artificial Intelligence techniques are becoming increasingly dominant problem-solving techniques. In particular, deep learning models have recently shown the ability to surpass human accuracy in many scientific tasks. The goal of the SKYNET project is to develop an innovative deep learning-based model capable of exploiting the huge amount of available satellite data to improve the current estimates of ice volumes of all Earths glaciers, from continental alpine glaciers to polar glaciers, including those in the periphery of Greenland and Antarctica. The proposed methodology makes use of state-of-the art image inpainting architectures fed with satellite-based digital elevation models (TanDEM-X,REMA), altimetry (NASAs ICESat-2), gravity and ice surface velocity data to infer subglacial topographies hence ice volumes. Modelled topographies will be constrained towards realistic solutions using glacier ice thickness measurements (GlaThiDa repository) from in-situ and remo