Portfolio Archive - Future Needs

Climate Change Horizon Europe

UrbanAir Project

URBAN Simulation for AIR quality and heat Resilience strategies

Funded under
Duration
Overall budget
Partnership
Website

Horizon Europe

01/01/2025 – 31/12/2028

€ 14 266 198.83

19 Partners

UrbanAIR is a digital twin project supporting urban decision-makers in addressing climate change and environmental hazards. By integrating high-resolution atmospheric models with behavioural simulations, UrbanAIR delivers actionable insights to improve air quality, manage heat stress, and enhance public health.

Part of the European Commission’s Destination Earth initiative, UrbanAIR translates scientific data into practical tools, empowering municipalities and industries to:

Support cities in adapting to climate change.
Mitigate risks from extreme events such as heat waves and pollution.
Enhance blue-green infrastructure for sustainable urban development.

Future Needs’ Role in UrbanAIR

Future Needs plays a key role in establishing UrbanAIR’s brand, visibility, and long-term impact. Our responsibilities include:

Branding and visual identity: Delivering a consistent and professional image for UrbanAIR through custom visual materials and communication strategies.
Dissemination and communication: Sharing project outcomes with industry leaders, policymakers, and academia through dedicated campaigns and platforms.

Exploitation activities: Managing Intellectual Property Rights (IPR), developing business plans, and presenting at international conferences to maximise UrbanAIR’s scalability and funding potential.

https://futureneeds.eu/wp-content/uploads/2023/03/Refmap_grp_edited-scaled-e1679304471525.jpg

Project Ambition

UrbanAIR advances urban planning with tools for high-resolution atmospheric modelling and informed decision-making. It focuses on:

Advanced Decision Support for Urban Planners
Tools that evaluate socio-economic and environmental impacts using co-creation methods and quantified uncertainties.
Integrated Atmospheric Models
A unified digital twin platform combining high- and low-fidelity models for accurate urban simulations.
AI-Driven Efficiency
AI and multi-fidelity strategies to reduce computational costs while maintaining precision.
Enhanced Forecasting and Risk Assessment
Uncertainty quantification at small urban scales to improve forecasting and guide local measurement campaigns.

Behavioural Modelling for Liveability
Citizen-driven behavioural models to align urban planning with community needs and climate goals.

UrbanAIR Use Cases

UrbanAIR demonstrates its digital twin framework through two key use cases:

Action Cities (Barcelona and Antwerp)

Develop and test the digital twin prototype with local stakeholders.
Address challenges such as air quality, heat stress, and urban resilience.

Learning Cities (Paris, Rotterdam, and Bristol)

Validate scalability in diverse environments.
Refine tools based on real-world feedback.

These use cases showcase UrbanAIR’s readiness to support urban planning and expand its impact to other municipalities.

UrbanAIR’s latest Updates

Read the first press release here 📰

URBAN Simulation for AIR quality and heat Resilience strategies

Funded under
Duration
Overall budget
Partnership
Website

Horizon Europe

01/01/2025 – 31/12/2028

€ 14 266 198.83

19 Partners

www.urbanair-project.eu

UrbanAIR is a digital twin project supporting urban decision-makers in addressing climate change and environmental hazards. By integrating high-resolution atmospheric models with behavioural simulations, UrbanAIR delivers actionable insights to improve air quality, manage heat stress, and enhance public health.

Part of the European Commission’s Destination Earth initiative, UrbanAIR translates scientific data into practical tools, empowering municipalities and industries to:

Support cities in adapting to climate change.
Mitigate risks from extreme events such as heat waves and pollution.
Enhance blue-green infrastructure for sustainable urban development.

Future Needs’ Role in UrbanAIR

Future Needs plays a key role in establishing UrbanAIR’s brand, visibility, and long-term impact. Our responsibilities include:

Branding and visual identity: Delivering a consistent and professional image for UrbanAIR through custom visual materials and communication strategies.
Dissemination and communication: Sharing project outcomes with industry leaders, policymakers, and academia through dedicated campaigns and platforms.

Exploitation activities: Managing Intellectual Property Rights (IPR), developing business plans, and presenting at international conferences to maximise UrbanAIR’s scalability and funding potential.

Project Ambition

UrbanAIR advances urban planning with tools for high-resolution atmospheric modelling and informed decision-making. It focuses on:

Advanced Decision Support for Urban Planners
Tools that evaluate socio-economic and environmental impacts using co-creation methods and quantified uncertainties.
Integrated Atmospheric Models
A unified digital twin platform combining high- and low-fidelity models for accurate urban simulations.
AI-Driven Efficiency
AI and multi-fidelity strategies to reduce computational costs while maintaining precision.
Enhanced Forecasting and Risk Assessment
Uncertainty quantification at small urban scales to improve forecasting and guide local measurement campaigns.

Behavioural Modelling for Liveability
Citizen-driven behavioural models to align urban planning with community needs and climate goals.

UrbanAIR Use Cases

UrbanAIR demonstrates its digital twin framework through two key use cases:

Action Cities (Barcelona and Antwerp)

Develop and test the digital twin prototype with local stakeholders.
Address challenges such as air quality, heat stress, and urban resilience.

Learning Cities (Paris, Rotterdam, and Bristol)

Validate scalability in diverse environments.
Refine tools based on real-world feedback.

These use cases showcase UrbanAIR’s readiness to support urban planning and expand its impact to other municipalities.

UrbanAIR‘s latest Updates

Read the first press release here 📰

URBAN Simulation for AIR quality and heat Resilience strategies

Funded under
Duration
Overall budget
Partnership
Website

Horizon Europe

01/01/2025 – 31/12/2028

€ 14 266 198.83

19 Partners

www.urbanair-project.eu

UrbanAIR is a digital twin project supporting urban decision-makers in addressing climate change and environmental hazards. By integrating high-resolution atmospheric models with behavioural simulations, UrbanAIR delivers actionable insights to improve air quality, manage heat stress, and enhance public health.

Part of the European Commission’s Destination Earth initiative, UrbanAIR translates scientific data into practical tools, empowering municipalities and industries to:

Support cities in adapting to climate change.
Mitigate risks from extreme events such as heat waves and pollution.
Enhance blue-green infrastructure for sustainable urban development.

Future Needs’ Role in UrbanAIR

Future Needs plays a key role in establishing UrbanAIR’s brand, visibility, and long-term impact. Our responsibilities include:

Branding and visual identity: Delivering a consistent and professional image for UrbanAIR through custom visual materials and communication strategies.
Dissemination and communication: Sharing project outcomes with industry leaders, policymakers, and academia through dedicated campaigns and platforms.

Exploitation activities: Managing Intellectual Property Rights (IPR), developing business plans, and presenting at international conferences to maximise UrbanAIR’s scalability and funding potential.

Project Ambition

UrbanAIR advances urban planning with tools for high-resolution atmospheric modelling and informed decision-making. It focuses on:

Advanced Decision Support for Urban Planners
Tools that evaluate socio-economic and environmental impacts using co-creation methods and quantified uncertainties.
Integrated Atmospheric Models
A unified digital twin platform combining high- and low-fidelity models for accurate urban simulations.
AI-Driven Efficiency
AI and multi-fidelity strategies to reduce computational costs while maintaining precision.
Enhanced Forecasting and Risk Assessment
Uncertainty quantification at small urban scales to improve forecasting and guide local measurement campaigns.

Behavioural Modelling for Liveability
Citizen-driven behavioural models to align urban planning with community needs and climate goals.

UrbanAIR Use Cases

UrbanAIR demonstrates its digital twin framework through two key use cases:

Action Cities (Barcelona and Antwerp)

Develop and test the digital twin prototype with local stakeholders.
Address challenges such as air quality, heat stress, and urban resilience.

Learning Cities (Paris, Rotterdam, and Bristol)

Validate scalability in diverse environments.
Refine tools based on real-world feedback.

These use cases showcase UrbanAIR’s readiness to support urban planning and expand its impact to other municipalities.

UrbanAIR‘s latest Updates

Read the first press release here 📰

Education & Jobs Erasmus+Human Rights

EqPay4all Project

Equal Pay for all

Funded under
Duration
Overall budget
Partnership
Website

Erasmus+

01/12/2023 – 30/11/2025

€ 250 000

7 Partners

www.eqpayforall.eu

In the wake of the pandemic and financial upheaval, women globally have shouldered a disproportionate array of responsibilities, balancing increased job demands with pivotal roles in household care. Despite these efforts, women are notably underrepresented in key positions and are consistently paid less than their male counterparts for equivalent or even greater responsibilities. In 2020, the gender pay gap averaged 13.0% in the European Union and 14.1% in the euro area, varying significantly across Member States. This disparity remains a pressing challenge for the EU. The European Commission urges actions to address segregation in sectors where women dominate, enhance women’s representation in corporate and political decision-making, and improve the work-life balance for both genders. Persistent structural underpayment, gender stereotypes—especially prevalent in STEM fields—and discrimination in all sectors underscore the urgent need for change. EqPay4all stands as a concerted effort to combat the gender pay gap and dismantle associated stereotypes, aiming to foster lasting transformation.

What is Our role in EqPay4all?

Future Needs plays a pivotal role in the development and refinement of the Virtual Think Tank (VTT) platform within this project. As the lead for these activities, Future Needs spearheads the design, development, and translation phases of the VTT, working collaboratively with partner organisations to ensure the platform’s interactive and technically robust nature. Future Needs oversees the identification of technical requirements, designs the graphic interface, and integrates collaborative tools for synchronous and asynchronous engagement. Additionally, Future Needs takes charge of drafting a comprehensive manual that elucidates the VTT’s navigation and technical functionalities. Furthermore, Future Needs leads the critical phase of piloting and fine-tuning the VTT, overseeing the testing process to gauge its effectiveness and usability. Their central role ensures the successful creation, understanding, and optimization of this innovative platform designed to facilitate collaborative efforts and knowledge exchange among diverse bodies and organisations across different countries involved in the project.

What are the objectives of EqPay4all ?

Enhance knowledge and skills regarding stereotypes and the right to equal pay for equal work.
Combat stereotypes and gender biases within professions and job structures.
Heighten awareness and empower women to reduce the gender pay gap.
Foster social cohesion among diverse groups for collaborative action on this topic.
Promote common values advocating for gender equality, fundamental in Community Law and EU principles.
Improve youth employability and advocate for fair treatment at work irrespective of gender.
Establish networks committed to actively promoting workplace equality.
Align with EU and international priorities addressing gender inequality.
Engage project participants as ambassadors spreading awareness about gender inequality in the job market.

The need for gender pay equality

The pursuit of gender pay equality is essential for fostering a fair and inclusive society. Despite significant progress over time, the existence of a gender wage gap highlights persistent disparities that need urgent attention. Addressing this gap goes beyond mere economic equity; it embodies the principles of fairness, opportunity, and societal progress. Achieving true gender pay equality involves identifying and rectifying various factors contributing to the gap, including societal expectations, caregiving roles, job preferences, and potential discrimination. By implementing policies that promote flexible work structures, equal opportunities for career advancement, and challenging societal norms, we pave the way for a more just and equitable future where individuals are valued based on merit and capability, rather than gender.

Project Facts

01234567890Partners

01234567890Countries

01234567890Years

Healthcare Horizon Europe

AI4LUNGS Project

AI-Based Personalised Care for Respiratory Disease using Multi-Modal Date in Patient Stratification

Funded under
Duration
Overall budget
Partnership
Website

Horizon Europe

01/01/2024 – 01/06/2027

€ 6 937 771.25

19 Partners

www.ai4lungs.eu

Which issues of today’s digital world does the AI4Lungs project address?

Lung diseases represent a diverse and complex group of illnesses that have a profound impact on global health and economies. Each year, these diseases cause severe illness to hundreds of millions and are responsible for the deaths of millions worldwide, accounting for over 10% of all disability-adjusted life-years (DALYs). They also impose a substantial economic burden, draining more than €380 billion annually from the EU economy. Lung cancer, in particular, stands out for its high mortality rate globally.

One of the primary challenges in treating lung disease is the wide array of possible conditions, many of which present with similar symptoms and affect the lungs in similar ways. Often, patients may suffer from multiple, interconnected lung diseases, further complicating diagnosis and treatment. Traditional clinical approaches require extensive multidisciplinary teams and a range of diagnostic tools, leading to increased costs, time, and resource use. There is a pressing need for digital solutions that can streamline this process, offering faster, more accurate diagnoses and treatment plans.

‘AI is perhaps the most transformational technology of our time, and healthcare is perhaps AI’s most pressing application.’ -Satya Nadella, chief executive officer, Microsoft

What is the role of Future Needs?

At Future Needs, participation in the AI4Lungs project is embraced through involvement in various Work Packages such as “Project Management”, “End-User Co-Design, System Architecture and Framework Analysis”, “Legal and Ethical Issues”, “Algorithm Validation, Pilot Testing and Assessment”, and “AI4Lungs Platform, Digital Twin Service and User Experience”. Leadership is provided in the critical Work Package of “Dissemination, Communication, Sustainable Exploitation“.

Our contribution spans across multiple critical domains, ensuring the project aligns with regulatory and ethical standards. Involvement in the AI4Lungs project is characterised by a comprehensive approach, with pilot testing and assessment of AI tools being conducted to evaluate their effectiveness in real-world scenarios. Future Needs plays a key role in ensuring the AI4Lungs platform meets both user needs and technical specifications. Our involvement in the Digital Twin service design and implementation focuses on optimising the user experience, with a dedicated effort towards ensuring end-user co-design principles are upheld, thereby aligning solutions closely with the needs of clinicians and patients. Furthermore, our team is responsible for analysing and defining the system’s architecture and framework, emphasising robustness and scalability.

Leading the project’s impact maximisation, Future Needs spearheads strategic approaches for the sustainable exploitation of AI4Lungs outcomes. This includes a significant contribution to Health Technology Assessment (HTA), where we evaluate the technology’s impact on healthcare systems, focusing on usability, cost-effectiveness, and standard of care enhancements.

Future Needs is also in charge of mapping the stakeholder ecosystem, ensuring effective communication and engagement through digital tools. Our team is integral in assisting in designing and implementing user-friendly interfaces for the decision support system. Ethical assessments and monitoring are rigorously overseen, with a strong focus on promoting awareness around ethical, legal, and social implications (ELSI). In addition, we lead project branding and communication efforts, organise and host the EU Summit on OneHealth, and develop a TRL9 roadmap, guiding innovation and exploitation. Lastly, our commitment extends to promoting the project’s uptake and sustainability, with a focus on regulatory compliance, intellectual property protection, economic assessment, and health technology assessment, ensuring the longevity and widespread adoption of AI4Lungs’ results.

What is the aim of the AI4Lungs project?

AI4Lungs is at the forefront of addressing the aforementioned challenges. The project focuses on developing and validating state-of-the-art AI-based tools and computational models to enhance patient stratification, thereby optimising the diagnosis and treatment of both infectious and non-infectious respiratory diseases. These diseases require comprehensive and repeated assessments over time to accurately characterise a patient’s condition. AI4Lungs is designed to be seamlessly integrated into existing clinical pathways, aiding clinicians and stakeholders in decision-making from the initial suspicion of a disease to its diagnosis and subsequent treatment planning.

The initiative leverages a wide array of data, including medical records, imaging data, and novel inputs from digital stethoscopes and -omics. By incorporating structured and unstructured data modalities, AI4Lungs‘ stratification strategy aims to position patients more accurately, enabling them to benefit from shared global data and knowledge at all care stages. This approach not only promises to enhance diagnosis and treatment planning but also to extend these benefits to patients in any location, regardless of the remoteness or size of their healthcare facility.

The broader impact of AI4Lungs includes reducing healthcare system costs by minimising unnecessary testing and ineffective treatments, thereby optimizing the use of health technologies and resources. By focusing on respiratory diseases, AI4Lungs addresses a set of disorders with a significant disease burden. The project’s innovative approach of combining AI with real-world data and holistic disease modelling offers a more efficient allocation of resources, making the best treatment options accessible to a wider range of patients. AI4Lungs is committed to adhering to FAIR principles and relevant regulatory and ethical guidelines, ensuring responsible and sustainable healthcare advancements. In the long term, the methodologies and tools developed in AI4Lungs have the potential to be applied to other disease classes, sectors, and various value chains, including pharmaceuticals, medical devices, clinical trials, and policy-making. This positions AI4Lungs not just as a solution for current challenges but also as a foundational platform for future innovations in healthcare.

Which are the main objectives of AI4Lungs?

AI4Lungs aims to push the boundaries of AI in healthcare by developing novel strategies for data integration and analysis. This includes ensemble methods for predictive modelling, addressing data sparsity and anomalies, studying causality in disease progression, and implementing advanced imaging analytics. The project emphasises the use of AI for holistic patient stratification, utilising innovative techniques like deep learning, cloud-based big data platforms, and natural language processing. The focus on trustworthy and explainable AI will enhance the reliability and acceptance of AI systems in healthcare. The project’s ultimate ambition is to reach a high technology readiness level (TRL), ensuring that the developed systems are practical, effective, and ready for widespread clinical use.

Key Objectives:

Decision Support System Development: Designing a guideline-based system to provide clinicians with clear, data-driven recommendations, aiming to reduce time spent on patient data analysis and improve treatment quality.
Computational Model Integration: Creating integrated models using AI to transition from basic data-fitting to comprehensive disease models, enhancing diagnostic accuracy and understanding of lung diseases.
Novel Data Modalities: Incorporating new data types such as digital auscultation recordings and liquid biopsy data, aiming to refine clinical phenotyping and early-stage cancer diagnosis.
Infrastructure Development: Building a secure, scalable infrastructure to manage and process data in compliance with GDPR and ethical standards, aiming for high clinician acceptance levels.
Interactive Dashboard Design: Developing a user-friendly dashboard for clinicians, enhancing decision-making processes and integrating a digital twin system for better interface design and workflow.
Open Access Data Repository: Establishing a repository for sharing patient data to foster respiratory disease research across Europe and beyond, including hosting a pan-European hackathon.
Tool Demonstration and Validation: Validating AI4Lungs tools and systems in clinical settings, with feedback from healthcare professionals, to ensure practical applicability and effectiveness.
Health Technology Assessment: Assessing the impact of AI4Lungs on clinical pathways, focusing on usability, cost-effectiveness, and standard of care improvements.
Sustainable Exploitation Strategy: Creating a knowledge management framework for impact maximization, balancing dissemination with intellectual property protection.
Ethical, Legal, and Social Implications (ELSI) Analysis: Operationalizing digital ethics principles and assessing the ELSI of AI-based tools, ensuring responsible development and implementation.

Project Facts

0123456789001234567890Partners

0123456789001234567890Countries

01234567890 ,01234567890Years

AI4Lungs’ Latest Updates

Read the first press release here 📰

You can find the latest press release from our project here 📰

AI-Based Personalised Care for Respiratory Disease using Multi-Modal Date in Patient Stratification

Funded under
Duration
Overall budget
Partnership
Website

Horizon Europe

01/01/2024 – 01/06/2027

€ 6 937 771.25

19 Partners

www.ai4lungs.eu

Which issues of today’s digital world does the AI4Lungs project address?

Lung diseases represent a diverse and complex group of illnesses that have a profound impact on global health and economies. Each year, these diseases cause severe illness to hundreds of millions and are responsible for the deaths of millions worldwide, accounting for over 10% of all disability-adjusted life-years (DALYs). They also impose a substantial economic burden, draining more than €380 billion annually from the EU economy. Lung cancer, in particular, stands out for its high mortality rate globally.

One of the primary challenges in treating lung disease is the wide array of possible conditions, many of which present with similar symptoms and affect the lungs in similar ways. Often, patients may suffer from multiple, interconnected lung diseases, further complicating diagnosis and treatment. Traditional clinical approaches require extensive multidisciplinary teams and a range of diagnostic tools, leading to increased costs, time, and resource use. There is a pressing need for digital solutions that can streamline this process, offering faster, more accurate diagnoses and treatment plans.

‘AI is perhaps the most transformational technology of our time, and healthcare is perhaps AI’s most pressing application.’ -Satya Nadella, chief executive officer, Microsoft

What is the role of Future Needs?

At Future Needs, participation in the AI4Lungs project is embraced through involvement in various Work Packages such as “Project Management”, “End-User Co-Design, System Architecture and Framework Analysis”, “Legal and Ethical Issues”, “Algorithm Validation, Pilot Testing and Assessment”, and “AI4Lungs Platform, Digital Twin Service and User Experience”. Leadership is provided in the critical Work Package of “Dissemination, Communication, Sustainable Exploitation“.

Our contribution spans across multiple critical domains, ensuring the project aligns with regulatory and ethical standards. Involvement in the AI4Lungs project is characterised by a comprehensive approach, with pilot testing and assessment of AI tools being conducted to evaluate their effectiveness in real-world scenarios. Future Needs plays a key role in ensuring the AI4Lungs platform meets both user needs and technical specifications. Our involvement in the Digital Twin service design and implementation focuses on optimising the user experience, with a dedicated effort towards ensuring end-user co-design principles are upheld, thereby aligning solutions closely with the needs of clinicians and patients. Furthermore, our team is responsible for analysing and defining the system’s architecture and framework, emphasising robustness and scalability.

Leading the project’s impact maximisation, Future Needs spearheads strategic approaches for the sustainable exploitation of AI4Lungs outcomes. This includes a significant contribution to Health Technology Assessment (HTA), where we evaluate the technology’s impact on healthcare systems, focusing on usability, cost-effectiveness, and standard of care enhancements.

Future Needs is also in charge of mapping the stakeholder ecosystem, ensuring effective communication and engagement through digital tools. Our team is integral in assisting in designing and implementing user-friendly interfaces for the decision support system. Ethical assessments and monitoring are rigorously overseen, with a strong focus on promoting awareness around ethical, legal, and social implications (ELSI). In addition, we lead project branding and communication efforts, organise and host the EU Summit on OneHealth, and develop a TRL9 roadmap, guiding innovation and exploitation. Lastly, our commitment extends to promoting the project’s uptake and sustainability, with a focus on regulatory compliance, intellectual property protection, economic assessment, and health technology assessment, ensuring the longevity and widespread adoption of AI4Lungs’ results.

What is the aim of the AI4Lungs project?

AI4Lungs is at the forefront of addressing the aforementioned challenges. The project focuses on developing and validating state-of-the-art AI-based tools and computational models to enhance patient stratification, thereby optimising the diagnosis and treatment of both infectious and non-infectious respiratory diseases. These diseases require comprehensive and repeated assessments over time to accurately characterise a patient’s condition. AI4Lungs is designed to be seamlessly integrated into existing clinical pathways, aiding clinicians and stakeholders in decision-making from the initial suspicion of a disease to its diagnosis and subsequent treatment planning.

The initiative leverages a wide array of data, including medical records, imaging data, and novel inputs from digital stethoscopes and -omics. By incorporating structured and unstructured data modalities, AI4Lungs‘ stratification strategy aims to position patients more accurately, enabling them to benefit from shared global data and knowledge at all care stages. This approach not only promises to enhance diagnosis and treatment planning but also to extend these benefits to patients in any location, regardless of the remoteness or size of their healthcare facility.

The broader impact of AI4Lungs includes reducing healthcare system costs by minimising unnecessary testing and ineffective treatments, thereby optimizing the use of health technologies and resources. By focusing on respiratory diseases, AI4Lungs addresses a set of disorders with a significant disease burden. The project’s innovative approach of combining AI with real-world data and holistic disease modelling offers a more efficient allocation of resources, making the best treatment options accessible to a wider range of patients. AI4Lungs is committed to adhering to FAIR principles and relevant regulatory and ethical guidelines, ensuring responsible and sustainable healthcare advancements. In the long term, the methodologies and tools developed in AI4Lungs have the potential to be applied to other disease classes, sectors, and various value chains, including pharmaceuticals, medical devices, clinical trials, and policy-making. This positions AI4Lungs not just as a solution for current challenges but also as a foundational platform for future innovations in healthcare.

Which are the main objectives of AI4Lungs?

AI4Lungs aims to push the boundaries of AI in healthcare by developing novel strategies for data integration and analysis. This includes ensemble methods for predictive modelling, addressing data sparsity and anomalies, studying causality in disease progression, and implementing advanced imaging analytics. The project emphasises the use of AI for holistic patient stratification, utilising innovative techniques like deep learning, cloud-based big data platforms, and natural language processing. The focus on trustworthy and explainable AI will enhance the reliability and acceptance of AI systems in healthcare. The project’s ultimate ambition is to reach a high technology readiness level (TRL), ensuring that the developed systems are practical, effective, and ready for widespread clinical use.

Key Objectives:

Decision Support System Development: Designing a guideline-based system to provide clinicians with clear, data-driven recommendations, aiming to reduce time spent on patient data analysis and improve treatment quality.
Computational Model Integration: Creating integrated models using AI to transition from basic data-fitting to comprehensive disease models, enhancing diagnostic accuracy and understanding of lung diseases.
Novel Data Modalities: Incorporating new data types such as digital auscultation recordings and liquid biopsy data, aiming to refine clinical phenotyping and early-stage cancer diagnosis.
Infrastructure Development: Building a secure, scalable infrastructure to manage and process data in compliance with GDPR and ethical standards, aiming for high clinician acceptance levels.
Interactive Dashboard Design: Developing a user-friendly dashboard for clinicians, enhancing decision-making processes and integrating a digital twin system for better interface design and workflow.
Open Access Data Repository: Establishing a repository for sharing patient data to foster respiratory disease research across Europe and beyond, including hosting a pan-European hackathon.
Tool Demonstration and Validation: Validating AI4Lungs tools and systems in clinical settings, with feedback from healthcare professionals, to ensure practical applicability and effectiveness.
Health Technology Assessment: Assessing the impact of AI4Lungs on clinical pathways, focusing on usability, cost-effectiveness, and standard of care improvements.
Sustainable Exploitation Strategy: Creating a knowledge management framework for impact maximization, balancing dissemination with intellectual property protection.
Ethical, Legal, and Social Implications (ELSI) Analysis: Operationalizing digital ethics principles and assessing the ELSI of AI-based tools, ensuring responsible development and implementation.

AI4Lungs’ latest Updates

Read the first press release here 📰

You can find the latest press release from our project here 📰

Project Facts

0123456789001234567890Partners

0123456789001234567890Countries

01234567890 ,01234567890Years

Climate Change Horizon Europe Transport

ImAFUSA Project

Impact and capacity Assessment Framework for U-space societal Acceptance

Funded under
Duration
Overall budget
Partnership
Website

Horizon Europe

01/09/2023 – 28/02/2026

€ 877 207,50

8 Partners

www.imafusa-sesar.eu

Project Ambition

ImAFUSA is set to unlock groundbreaking insights into three key areas that influence societal acceptance of UAM:

Environmental Impact: Tackling issues such as noise, visual pollution, and air quality head-on.
Safety: Ensuring that UAM becomes a synonym for safety, instilling confidence in every citizen.
Socio-Economic Impact: Making UAM accessible, affordable, and contributing to economic development while optimising public space use and connectivity.

In order to measure the above, ImAFUSA is pioneering the creation of mathematical formulas and algorithms to quantify innovative performance indicators. This approach will contribute to the designation of Sustainable Urban Air Mobility Indicators (SUAMI) empowering stakeholders to make more informed, responsible, sustainable and socially accepted decisions.

How does Future Needs participate?

Future Needs leads the dissemination activities and the activities for development of socioeconomic impact assessment indicators. Additionally, Future Needs leads the Setting the Scene for UAM assessment Work Package. This work package has the following objectives:

Review of current impact and capacity assessment frameworks and indicators for UAM, transport and mobility services
Envision use cases of UAM and their expected impacts
Identify user needs for an impact and capacity assessment tool
Deduct key performance areas and objectives

https://futureneeds.eu/wp-content/uploads/2023/10/WhatsApp-Image-2023-10-18-at-11.54.24-AM-e1697622472792.jpeg

Social engagement

ImAFUSA will also be engaging directly with citizens through three immersive UAM experiences in Athens, Greece. Collecting valuable data on loudness, visual pollution, safety perceptions, and overall UAM acceptance, the project is on the pulse of public sentiment.

But that’s not all! ImAFUSA will put its indicators to the test in a cutting-edge simulation environment, mimicking real-world U-space scenarios of varying volumes and configurations.

This project is expected to have a significant impact in the socially acceptable deployment of a UAM, through sustainable indicators. Brace yourselves for an era where UAM enhances sustainable mobility, elevates business performance, connects citizens, and triggers economic activity in urban and peri-urban areas.

Project Facts

01234567890Partners

01234567890Countries

01234567890 ,01234567890Years

Imafusa’s latest Updates

You can find the latest press release from our project here 📰

Impact and capacity Assessment Framework for U-space societal Acceptance

Funded under
Duration
Overall budget
Partnership
Website

Horizon Europe

01/09/2023 – 28/02/2026

€ 877 207,50

8 Partners

www.imafusa-sesar.eu

Project Ambition

ImAFUSA is set to unlock groundbreaking insights into three key areas that influence societal acceptance of UAM:

Environmental Impact: Tackling issues such as noise, visual pollution, and air quality head-on.
Safety: Ensuring that UAM becomes a synonym for safety, instilling confidence in every citizen.
Socio-Economic Impact: Making UAM accessible, affordable, and contributing to economic development while optimising public space use and connectivity.

In order to measure the above, ImAFUSA is pioneering the creation of mathematical formulas and algorithms to quantify innovative performance indicators. This approach will contribute to the designation of Sustainable Urban Air Mobility Indicators (SUAMI) empowering stakeholders to make more informed, responsible, sustainable and socially accepted decisions.

How does Future Needs participate?

Future Needs leads the dissemination activities and the activities for development of socioeconomic impact assessment indicators. Additionally, Future Needs leads the Setting the Scene for UAM assessment Work Package. This work package has the following objectives:

Review of current impact and capacity assessment frameworks and indicators for UAM, transport and mobility services
Envision use cases of UAM and their expected impacts
Identify user needs for an impact and capacity assessment tool
Deduct key performance areas and objectives

Social engagement

ImAFUSA will also be engaging directly with citizens through three immersive UAM experiences in Athens, Greece. Collecting valuable data on loudness, visual pollution, safety perceptions, and overall UAM acceptance, the project is on the pulse of public sentiment.

But that’s not all! ImAFUSA will put its indicators to the test in a cutting-edge simulation environment, mimicking real-world U-space scenarios of varying volumes and configurations.

This project is expected to have a significant impact in the socially acceptable deployment of a UAM, through sustainable indicators. Brace yourselves for an era where UAM enhances sustainable mobility, elevates business performance, connects citizens, and triggers economic activity in urban and peri-urban areas.

Project Facts

01234567890Partners

01234567890Countries

01234567890 ,01234567890Years

Imafusa’s latest Updates

You can find the latest press release from our project here 📰

Agriculture Climate Change Erasmus+

AgroPro Project

Agricultural Drone Technology Awareness Training for industry Professionals

Funded under
Duration
Overall budget
Partnership
Website

Erasmus+

01/01/2023 – 31/12/2024

€ 250 000

5 Partners

www.agropro-drone.eu

What is the mission of AgroPro?

AgroPro is a pioneering project aimed at bridging the gap between the rapid technological advancements in the agriculture industry and the existing knowledge and skills of agriculture professionals. With a mission to empower agricultural workers across the European Union, AgroPro focuses on providing access to cutting-edge drone technology, education, and support. This project aspires to enable professionals to optimise crop management, monitor crop health, and increase overall productivity while addressing the challenges of a growing global population and climate change-induced extreme weather events. By offering specialised training and resources, AgroPro seeks to connect agriculture professionals with limited opportunities to this evolving market and unlock their potential in utilising drone technology.

Ultimately, the project aims to deliver three main results:

e-Guide listing new career paths in agriculture thanks to drones,
a Competence Framework and Competence Assessment indicators, and
a MOOC on the use of drones and associated digital tools.

AgroPro is committed to promoting equal opportunities, and environmental sustainability, and fostering strategic partnerships to ensure scalability and widespread adoption of its initiatives, in alignment with the socioeconomic development strategies of its partner countries.

What is the “e-Guide” that will be developed”

The e-Guide will be a digital career resource designed to showcase new professions emerging in the agricultural sector due to advancements in drone technology. Based on the needs analysis and recommendations from CEDEFOP’s 2018 Handbook of ICT practices, the e-Guide will target educational institutions, lifelong learning centres, career offices, tutors, and agricultural stakeholders. It will aim to bridge the knowledge and skills gap in these new occupations and provide comprehensive information to facilitate the development of learning and training materials. The e-Guide will serve as a foundation for a MOOC on using UAVs and digital tools for sustainable agriculture. The main results will include an aggregated set of occupational descriptors, information, and links related to UAS use in agriculture, which will assist individuals and guidance counsellors in accessing information about career opportunities. The e-Guide’s innovative aspect will be its ability to compile curated content and research from different countries, making it a valuable resource for various EU organisations and institutions.

Inclusive and Accessible Project Design for Diverse Participants in the Agricultural Sector

To ensure accessibility and inclusiveness in the project, all activities will be designed to accommodate participants regardless of their social status, cultural or religious identity, sex, gender, sexual orientation, or economic situation. The project’s core methodology focuses on uniting diverse organisations for the common good, and fostering a community spirit through active engagement from all participants. Expenses such as travel, accommodation, and visas will be covered to encourage participation from individuals with limited economic opportunities.

Adult learners and NEETs will be given a central role in the project, enabling them to access exceptional support from all project teams. Safeguarding and equality measures will be in place for mobility or related activities involving young people and adult learners. The consortium will support disadvantaged participants by hosting activities in accessible locations, tailoring training materials to their needs, offering free participation in pilot testing workshops, and adjusting schedules according to their availability.

The project aims to provide opportunities for people with fewer resources by offering participation in pilot testing workshops. To engage the target audience more effectively, the consortium will collaborate with stakeholders who have established relationships with the target group, enabling them to better address specific needs, utilise communication channels, and implement suitable approach methods.

Project Facts

01234567890Partners

01234567890Countries

01234567890Years

Agricultural Drone Technology Awareness Training for industry Professionals

Funded under
Duration
Overall budget
Partnership
Website

Erasmus+

01/01/2023 – 31/12/2024

€ 250 000

5 Partners

www.agropro-drone.eu

What is the mission of AgroPro?

AgroPro is a pioneering project aimed at bridging the gap between the rapid technological advancements in the agriculture industry and the existing knowledge and skills of agriculture professionals. With a mission to empower agricultural workers across the European Union, AgroPro focuses on providing access to cutting-edge drone technology, education, and support. This project aspires to enable professionals to optimise crop management, monitor crop health, and increase overall productivity while addressing the challenges of a growing global population and climate change-induced extreme weather events. By offering specialised training and resources, AgroPro seeks to connect agriculture professionals with limited opportunities to this evolving market and unlock their potential in utilising drone technology.

Ultimately, the project aims to deliver three main results:

e-Guide listing new career paths in agriculture thanks to drones,
a Competence Framework and Competence Assessment indicators, and
a MOOC on the use of drones and associated digital tools.

AgroPro is committed to promoting equal opportunities, and environmental sustainability, and fostering strategic partnerships to ensure scalability and widespread adoption of its initiatives, in alignment with the socioeconomic development strategies of its partner countries.

What is the “e-Guide” that will be developed”

The e-Guide will be a digital career resource designed to showcase new professions emerging in the agricultural sector due to advancements in drone technology. Based on the needs analysis and recommendations from CEDEFOP’s 2018 Handbook of ICT practices, the e-Guide will target educational institutions, lifelong learning centres, career offices, tutors, and agricultural stakeholders. It will aim to bridge the knowledge and skills gap in these new occupations and provide comprehensive information to facilitate the development of learning and training materials. The e-Guide will serve as a foundation for a MOOC on using UAVs and digital tools for sustainable agriculture. The main results will include an aggregated set of occupational descriptors, information, and links related to UAS use in agriculture, which will assist individuals and guidance counsellors in accessing information about career opportunities. The e-Guide’s innovative aspect will be its ability to compile curated content and research from different countries, making it a valuable resource for various EU organisations and institutions.

Inclusive and Accessible Project Design for Diverse Participants in the Agricultural Sector

To ensure accessibility and inclusiveness in the project, all activities will be designed to accommodate participants regardless of their social status, cultural or religious identity, sex, gender, sexual orientation, or economic situation. The project’s core methodology focuses on uniting diverse organisations for the common good, and fostering a community spirit through active engagement from all participants. Expenses such as travel, accommodation, and visas will be covered to encourage participation from individuals with limited economic opportunities.

Adult learners and NEETs will be given a central role in the project, enabling them to access exceptional support from all project teams. Safeguarding and equality measures will be in place for mobility or related activities involving young people and adult learners. The consortium will support disadvantaged participants by hosting activities in accessible locations, tailoring training materials to their needs, offering free participation in pilot testing workshops, and adjusting schedules according to their availability.

The project aims to provide opportunities for people with fewer resources by offering participation in pilot testing workshops. To engage the target audience more effectively, the consortium will collaborate with stakeholders who have established relationships with the target group, enabling them to better address specific needs, utilise communication channels, and implement suitable approach methods.

Project Facts

01234567890Partners

01234567890Countries

01234567890Years

Climate Change Horizon Europe Regions & Cities Transport

RefMap Project

Reducing Environmental Footprint through transformative Multi-scale Aviation Planning

Funded under
Duration
Overall budget
Partnership
Website

Horizon Europe

01/02/2023 – 31/01/2026

€ 4 034 527

11 Partners

www.refmap.eu

Project Motivation

In today’s world that climate change is a major threat, the need to assess and minimise the environmental impact of our activities become evident. Aviation is a major contributor to the emitted greenhouse gases and the rapid rising of urban air mobility will only add to this problem. For this reason, there is a need to create a management system that will optimise trajectories. Optimising trajectories will not only help reduce the environmental footprint of aviation and urban air mobility, but also will have a financial benefit. At the same time, while more and more vehicles move through the air, the impact of the noise they produce, on both community and wildlife remains understudied. Both for emissions and noise, the natural air flows play also a big part. RefMap aims to address these issues through the development of a transformative digital technology platform that allows quantifying the environmental footprints associated with multi-scale aviation using big data and AI.

How does Future Needs participate?

Future Needs leads the following activities:

Project Branding, Dissemination and Communication activities
Clustering with relevant projects and ATM/U-space stakeholders through founding the Aviation Twin Transition Cluster

Future Needs also leads the “Development of the RefMap services and the new European businesses they enable” work package which aims to:

Validate the potential of RefMap analytics, simulations and platform and define the MVP based on user needs
Define and validate the new business models that the RefMap analytics will enable

Project Ambition

RefMap aims to revolutionise the aviation industry by developing a comprehensive approach to improving air traffic management, reducing environmental footprint, and assessing and minimising the noise impact of drones on communities and wildlife. The project utilises cutting-edge technologies, including deep learning techniques, HPC auto-tuning, and GPU acceleration, to accurately predict flow patterns, optimise drone trajectories, and conduct high-fidelity simulations. To ensure ethical data acquisition, the project also prioritises cyber security and decentralised data management.

Beyond technology, RefMap also has a holistic view of aviation business models and aims to align aviation needs with stakeholders’ needs to extrapolate the business value of green technology. By promoting green management practices, RefMap demonstrates how green technologies can benefit all aviation stakeholders, from airlines and airports to communities and wildlife. RefMap’s ambition extends beyond developing an air quality model; it also includes developing a flight dynamic model that can handle high-density aircraft scenarios, optimising commercial flight trajectories to reduce environmental impact, and minimising the impact of drone noise on populated areas through noise generation and perception optimization. The project also seeks to create a drone noise impact assessment approach for wildlife and provide guidelines to minimise the impact of drone noise on both communities and wildlife.

RefMap use cases

RefMap tool will have an impact on the service offer of aviation operators active in the large scale, such as airlines and small scale, such as drone operators. This tool will enable the provision of new and environmentally-optimal services in the small scale and the optimisation of current aircraft operations. The stakeholders involved and benefited from the outcomes of RefMap are: airlines, drone operators, airports, regulators and policy-makers. The services that are envisioned to be enabled through our technology in the RefMap project are briefly described in the following use cases:

Use cases in large scale (airlines and airports)
Use cases in small scale (urban air mobility)

Refmap’s latest Updates

You can find the latest press release from our project here 📰

Reducing Environmental Footprint through transformative Multi-scale Aviation Planning

Funded under
Duration
Overall budget
Partnership
Website

Horizon Europe

01/02/2023 – 31/01/2026

€ 4 034 527

11 Partners

www.refmap.eu

Project Motivation

In today’s world that climate change is a major threat, the need to assess and minimise the environmental impact of our activities become evident. Aviation is a major contributor to the emitted greenhouse gases and the rapid rising of urban air mobility will only add to this problem. For this reason, there is a need to create a management system that will optimise trajectories. Optimising trajectories will not only help reduce the environmental footprint of aviation and urban air mobility, but also will have a financial benefit. At the same time, while more and more vehicles move through the air, the impact of the noise they produce, on both community and wildlife remains understudied. Both for emissions and noise, the natural air flows play also a big part. RefMap aims to address these issues through the development of a transformative digital technology platform that allows quantifying the environmental footprints associated with multi-scale aviation using big data and AI.

How does Future Needs participate?

Future Needs leads the following activities:

Project Branding, Dissemination and Communication activities
Clustering with relevant projects and ATM/U-space stakeholders

Future Needs also leads the “Development of the RefMap services and the new European businesses they enable” work package which aims to:

Validate the potential of RefMap analytics, simulations and platform and define the MVP based on user needs
Define and validate the new business models that the RefMap analytics will enable

Project Ambition

RefMap aims to revolutionise the aviation industry by developing a comprehensive approach to improving air traffic management, reducing environmental footprint, and assessing and minimising the noise impact of drones on communities and wildlife. The project utilises cutting-edge technologies, including deep learning techniques, HPC auto-tuning, and GPU acceleration, to accurately predict flow patterns, optimise drone trajectories, and conduct high-fidelity simulations. To ensure ethical data acquisition, the project also prioritises cyber security and decentralised data management.

Beyond technology, RefMap also has a holistic view of aviation business models and aims to align aviation needs with stakeholders’ needs to extrapolate the business value of green technology. By promoting green management practices, RefMap demonstrates how green technologies can benefit all aviation stakeholders, from airlines and airports to communities and wildlife. RefMap’s ambition extends beyond developing an air quality model; it also includes developing a flight dynamic model that can handle high-density aircraft scenarios, optimising commercial flight trajectories to reduce environmental impact, and minimising the impact of drone noise on populated areas through noise generation and perception optimization. The project also seeks to create a drone noise impact assessment approach for wildlife and provide guidelines to minimise the impact of drone noise on both communities and wildlife.

RefMap use cases

RefMap tool will have an impact on the service offer of aviation operators active in the large scale, such as airlines and small scale, such as drone operators. This tool will enable the provision of new and environmentally-optimal services in the small scale and the optimisation of current aircraft operations. The stakeholders involved and benefited from the outcomes of RefMap are: airlines, drone operators, airports, regulators and policy-makers. The services that are envisioned to be enabled through our technology in the RefMap project are briefly described in the following use cases:

Use cases in large scale (airlines and airports)
Use cases in small scale (urban air mobility)

Refmap’s latest Updates

You can find the latest press release from our project here 📰

Reducing Environmental Footprint through transformative Multi-scale Aviation Planning

Funded under
Duration
Overall budget
Partnership
Website

Horizon Europe

01/02/2023 – 31/01/2026

€ 4 034 527

11 Partners

www.refmap.eu

Project Motivation

In today’s world that climate change is a major threat, the need to assess and minimise the environmental impact of our activities become evident. Aviation is a major contributor to the emitted greenhouse gases and the rapid rising of urban air mobility will only add to this problem. For this reason, there is a need to create a management system that will optimise trajectories. Optimising trajectories will not only help reduce the environmental footprint of aviation and urban air mobility, but also will have a financial benefit. At the same time, while more and more vehicles move through the air, the impact of the noise they produce, on both community and wildlife remains understudied. Both for emissions and noise, the natural air flows play also a big part. RefMap aims to address these issues through the development of a transformative digital technology platform that allows quantifying the environmental footprints associated with multi-scale aviation using big data and AI.

How does Future Needs participate?

Future Needs leads the following activities:

Project Branding, Dissemination and Communication activities
Clustering with relevant projects and ATM/U-space stakeholders

Future Needs also leads the “Development of the RefMap services and the new European businesses they enable” work package which aims to:

Validate the potential of RefMap analytics, simulations and platform and define the MVP based on user needs
Define and validate the new business models that the RefMap analytics will enable

Project Ambition

RefMap aims to revolutionise the aviation industry by developing a comprehensive approach to improving air traffic management, reducing environmental footprint, and assessing and minimising the noise impact of drones on communities and wildlife. The project utilises cutting-edge technologies, including deep learning techniques, HPC auto-tuning, and GPU acceleration, to accurately predict flow patterns, optimise drone trajectories, and conduct high-fidelity simulations. To ensure ethical data acquisition, the project also prioritises cyber security and decentralised data management.

Beyond technology, RefMap also has a holistic view of aviation business models and aims to align aviation needs with stakeholders’ needs to extrapolate the business value of green technology. By promoting green management practices, RefMap demonstrates how green technologies can benefit all aviation stakeholders, from airlines and airports to communities and wildlife. RefMap’s ambition extends beyond developing an air quality model; it also includes developing a flight dynamic model that can handle high-density aircraft scenarios, optimising commercial flight trajectories to reduce environmental impact, and minimising the impact of drone noise on populated areas through noise generation and perception optimization. The project also seeks to create a drone noise impact assessment approach for wildlife and provide guidelines to minimise the impact of drone noise on both communities and wildlife.

RefMap use cases

RefMap tool will have an impact on the service offer of aviation operators active in the large scale, such as airlines and small scale, such as drone operators. This tool will enable the provision of new and environmentally-optimal services in the small scale and the optimisation of current aircraft operations. The stakeholders involved and benefited from the outcomes of RefMap are: airlines, drone operators, airports, regulators and policy-makers. The services that are envisioned to be enabled through our technology in the RefMap project are briefly described in the following use cases:

Use cases in large scale (airlines and airports)
Use cases in small scale (urban air mobility)

Refmap’s latest Updates

You can find the latest press release from our project here 📰

Climate Change High Performance Computing Horizon Europe

HiDALGO2 Project

HPC and Big Data Technologies for Global Challenges

Funded under
Duration
Overall budget
Partnership
Website

Horizon Europe

01/01/2023 – 31/12/2026

€ 5 999 400

10 www.hidalgo2.eu

Project Objectives

HiDALGO2 will concentrate on the following conceptual aspects:

Technological
Multidisciplinary
Socio-scientific
Teamworking

They are extremely important to follow the work programme and fulfil general recommendations. HiDALGO2 is going to implement a rich set of functionalities, services, model adaptations, co-design benchmarks as well as actively work on establishing collaboration with other projects, initiatives and communities. In order to achieve the relevant impact for the project and measure its success, four above-mentioned categories have been detailed by a set of specific objectives.

Project Ambition and Novelty

The goals and ambitions of the HiDALGO2 project go far beyond the current state of knowledge and application possibilities, exploring areas that have not been explored so far. Thanks to HiDALGO2, it will be possible to make a qualitative change allowing us to look at the current state of knowledge of the analysed problems from a new perspective. Through the progress achieved in the project, we expect a qualitative leap in terms of scale, resolution and accuracy of the results obtained. This can be compared to using a microscope with much higher magnification to study extremely small organisms. Something that was previously invisible to the researcher suddenly becomes available and allows you to understand the essence of things.

How does Future Needs participate?

Future Needs contributes in the following Work Packages of the HiDALGO2:

Project Management
Centre Operation, Dashboard and Service Offering

On top of that, we lead the Work Package “Outreach, Awareness and Impact Creation”. Work package’s objective is oriented on maximizing the impact of the project and ensuring proper communication and dissemination of the project results/offerings and subsequently to raise awareness to the scientific and societal stakeholders. Another key aspect is to ensure the sustainability of the project results once the project is over in correlation with the individual and joint exploitation intentions of the partners. A key objective of this work package is on community building activities, which already started successfully in HiDALGO, but will be significantly expanded in the successor project, e.g. through a dedicated EU Clustering event. With respect to training activities, the goal is to build a centre for knowledge, experience and expertise exchanging ideas on development of novel/adapted solutions to tackle Global Challenges and to further advance the uptake of Exascale in this domain at European scale.

Thus, this work package will spread the knowledge on efficient utilisation of relevant implementation methods and deployment on current and future HPC and AI infrastructures.

https://futureneeds.eu/wp-content/uploads/2023/02/20230125_135100-scaled-e1676651740999.jpg

Maturity of the Proposed Solution

The potential of scalability is diverse across use cases. The first reason for this is that they come from different fields and are based on completely different computational models. Secondly, they also use various frameworks to conduct calculations, which translates into achieved results. The level of maturity is different, resulting either from the development time or the resources devoted. Most importantly, all pilot applications have great potential for scalability development based on the software and implemented models. Lastly, HiDALGO2 inherits the legacy of the HiDALGO project by continuing the work started under this project.

Link with other actions

HiDALGO2 is highly ambitious and in order to achieve its maximum potential it is linked with various other actions with collaboration agreements, specifically the following:

Plasma Exascale-Performance Simulations CoE – Pushing flagship plasma simulations codes to tackle exascale-enabled Grand Challenges via performance optimisation and codesign, Plasma-PEPSC, 101093261, funded by EUROHPC
BioExcel Centre of Excellence for Computational Biomolecular Research, BioExcel-3, 101093290, funded by EUROHPC
Center of Excellence for Exascale CFD, CEEC, 101093393, funded by EUROHPC
Coordination and Support for National Competence Centres and Centres of Excellence on a European Level Phase 2, CASTIEL 2, 101102047, funded by EUROHPC
Centre of Excellence in exascale-oriented application co-design and delivery for multiscale simulations, MultiXscale, 101093169, funded by EUROHPC
Center of Excellence for Exascale in Solid Earth – Second Phase, ChEESE-2P, 101093038, funded by EUROHPC
Center of excellence for weather and climate phase 3, ESiWACE3, 101093054, funded by EUROHPC
European Centre of Excellence for Engineering Applications on HPC and associated technologies, EXCELLERAT P2, 101092621, funded by EUROHPC
Materials design at the eXascale, MaX, 101093374, funded by EUROHPC
Scalable Parallel and distributed Astrophysical Codes for Exascale, SPACE, 101093441, funded by EUROHPC

HiDALGO2 latest Updates

You can find the latest press release from our project here 📰

Healthcare Horizon Europe Human Rights

ENTRUST Project

ENsuring Secure and Safe CMD Design with Zero TRUST Principles

Funded under
Duration
Overall budget
Partnership
Website

Horizon Europe

01/01/2023 – 31/12/2025

€ 5 999 046

20 www.entrust-he.eu

Aligned with the guidelines of the Cybersecurity Act and the existing guidance on cybersecurity for medical devices, ENTRUST envisions a Trust Management Architecture intended to dynamically and holistically manage the lifecycle of connected medical devices, strengthening trust and privacy in the entire medical ecosystem.

What is the objective of the ENTRUST project?

The main objective of ENTRUST is to ensure end-to-end trust management of medical devices including formally verified trust models, risk assessment process, secure lifecycle procedures, security policies, technical recommendations, and the first-ever real-time Conformity Certificates to safeguard connected medical devices.

What is the role of Future Needs?

Future Needs leads the Dissemination, Communication, Exploitation and Impact Creation work package, where we create an open-source roadmap for the results of the project. Our responsibilities also include the project branding and the design of website and visual material, as well as the support of the partners in outreach and clustering activities.

Furthermore, Future Needs leads the development of a Data Management Plan, ensuring Legal and Ethical Compliance and will conduct an analysis of the Ethical & Legal Dimension of Trust Management in Next-Generation of smart connected medical devices.

What is the aim of the ENTRUST project?

ENTRUST will leverage a series of breakthrough solutions to enhance assurance without limiting the applicability of connected medical devices by enclosing them to cybersecurity features. The project will introduce a novel remote attestation mechanism to ensure the device’s correct operation at runtime regardless of its computational power; will be efficient enough to run in also resource-constrained real-time systems such as the medical devices.

Which needs does ENTRUST address?

There is a need for targeted design and development of Medical Device – specific defensive mechanisms that occurs from:

The absence of a holistic security and privacy solution throughout the entire lifecycle of a heterogeneous medical device
The lack of a trust establishment mechanism among all the stakeholder in the healthcare supply chain
The absence of formal verification approaches for medical devices
The absence of runtime assurance for the connected medical devices
The lack of cyber security culture and visibility in healthcare domain

ENTRUST latest Updates

You can find the latest press release from our project here 📰

CEF Regions & Cities Transport

BURDI Project

BeNe U-space Reference Design Implementation

Funded under
Duration
Overall budget
Partnership
Website

CEF

01/10/2022 – 01/07/2025

€ 9 886 709

22 Partners

www.burdi.eu

Just as U-space has specifically been designed as an enabling framework to facilitate scalable VLOS and BVLOS drone operations in even the most congested airspaces and over all types of environments, the BURDI project has been specifically designed to enable a speedy yet all-encompassing real live reference implementation of this U-space framework in Belgium, endorsed by one of its neighbouring countries. The BURDI project will be implemented mainly around the three main civil controlled airports in Belgium: Brussels, Antwerp and Liège, complemented with a zone East of Antwerp currently tagged as Helicopter Training Area.

BURDI project has been specifically designed to enable a speedy yet all-encompassing real live reference implementation of this U-space framework in Belgium.

What is the role of Future Needs?

Future Needs leads the data protection and data management plan of the BURDI project, participates in communication and dissemination activities and leads the ATM and U-space capacity assessment. Furthermore, at the topic of social acceptance & multilevel governance, Future Needs along with Airbus and the cities of UIC2 participating in the Advisory Board of the project, will evaluate the social acceptance and the multilevel governance of U-space implementation, especially in the UAM environment by using the UAM Smart indicators developed by our company in frames of the ongoing SAFIR- Med SESAR JU H2020 project (they will fine tuned and validated). Lastly, in the same topic, Future Needs will execute regular market surveys and ad-hoc analyses and then, it will elaborate a cost efficiency report and the business sustainability plan of the effective U-space services provision.

What is the main objective of the BURDI project?

The objective of the BURDI project is to implement a “full” U-space airspace concept in several environments (including controlled airspace and urban environments (UAM)) and to demonstrate its sustainability and socio-economic value for the drone services sector, driven by the safe and secure enablement of drone operations in complex and dense traffic conditions, including manned aviation activities. The BURDI program contributes to the Horizon Europe sector fostering development of decarbonised modes of transportation. The aim of the BURDI project is to establish multiple U-space airspaces implementations throughout the Belgian FIR.

How will the BURDI project contribute to the efficiency objectives of the trans-European transport network?

1. The BURDI project will use cost-efficient application of innovative technology for execution of essential activities in safety and security domains. These will cover inspection of critical infrastructures like the Port of Antwerp.
2. It will establishing the connection with other transportation mode ensuring the sustainable (decarbonised) delivery for the last kilometers.
3. It will get rid of existing bottlenecks due to ground traffic jam to deliver a payload, especially if there is a priority in support of medical operations, developed and datasets – to be scaled up in BURDI project.

Project Facts

0123456789001234567890Partners

01234567890Countries

01234567890Years

Agriculture I3

SmartVitiNet Project

Smart and Sustainable Drone-assisted Viticulture Excellence Network

Funded under
Duration
Overall budget
Partnership
Website

ERDF I3

01/11/2022 – 31/10/2025

€ 1 983 443

11 Partners

www.smartvitinet.eu

Viticulture worldwide faces a dual challenge: the effects of the Climate Change (CC) and the preparation of vine growers to employ new technological solutions to face the upcoming changes and emerging needs. Interactions between plant resistance traits and abiotic stress tolerance may represent the most substantial impact of climate change on plant productivity. What’s more, a study of Eurostat reveals that 67% of the pesticides in Europe are used in viticulture. This is where SmartVitiNet comes in, to offer solutions for precision viticulture that can be an alternative, ensuring continued crop health monitoring, timely and targeted interventions.

Viticulture faces the challenge of Climate Change (CC) effects and the preparation of vine growers to employ new technological solutions to face these changes and emerging needs.

What is the role of Future Needs?

Future Needs will lead the dissemination and exploitation activities of the SmartVitiNet project and will facilitate the requirements analysis and the architecture design.

Future Needs’ team is experienced in user experience, service design, communication and business development, thus it is responsible for the dissemination of project achievements and the establishment of the exploitation strategy for further commercialization of SmartVitiNet project’s results. Furthermore, Future Needs will co-develop the SmartVitiNet Decision Support System (DSS) and will create the definition of the Minimum Viable Product. Finally, it will lead the community piloting in Cyprus.

SmartVitiNet will benefit furthermore by Future Needs’ established knowledge and expertise gained during another equivalent ongoing project run in collaboration with other partners. This is the Oenobotics project (funded under an Open call of the H2020 AgroboFood project) that will provide its results – prototypes developed and datasets – to be scaled up in SmartVitiNet.

Which are the main objectives of SmartVitiNet?

SmartVitiNet project aims at the following four general objectives:

– To create an accessible and affordable integrated solution for viticulture to be used both by vineyard owners themselves and agricultural policy makers.

-To connect policy makers, academia and technology actors with the viticulture community in a sustainable way with the aim to make innovative technologies accessible for the highest number of wine-growers. In order to improve the existing business ecosystem of the agricultural sector, SmartVitiNet will establish a Competence Centre for precision viticulture.

-To create more business potential in the area of precision agriculture.

-To strengthen the competitiveness of national wine producers. It will enhance and build a competitive edge by developing and adopting new and better ways of growing grapes and making wines and especially for less developed regions of the partners’ countries – Greece, Cyprus, Portugal and Spain.

Which are the advantages of precision viticulture?

One of the most powerful tools in precision viticulture is the use of remote sensing through its ability to rapidly provide a synoptic view of grapevine shape, size and vigor over entire vineyards. Its potential for improving viticultural practice is evident by the relationships that are known to exist between these canopy descriptors and grape quality and yield. Sensors are starting to provide literally granular data points on soil conditions, as well as detailed info on wind, fertilizer requirements, water availability and pest infestations, which in addition to aerial images captured by unmanned aerial vehicles (drones) which can patrol fields, can alert vine-growers to crop ripeness or potential problems and provide early warnings of deviations from expected growth rates or quality. Individual plants can be monitored for nutrients and growth rates. Furthermore, the introduction of automation in agriculture has profound impacts on most aspects of farming.

Given that the average area per holding in Cyprus and Greece is 0.55 hectares and in Portugal 0.9 hectares, vineyards of these countries are ideal candidates for drone remote sensing use. In France, there are many bigger vineyards but there is a significant amount of smaller vineyards as well.

Project Facts

0123456789001234567890Partners

01234567890Countries

01234567890Years