The overarching objective of OPEN-INNO-Train is to form an international and inter-sectoral network of organisations
collaboratively working on the joint research field of Open Innovation, University-Industry Cooperation and Research
Translation. To facilitate Knowledge Development and Sharing in four contemporary areas - FinTech, Industry 4.0, CleanTech, FoodTech.
For globally interconnected societies, scientific research has the potential to foster yet unrealised economic growth,
competitiveness, and wellbeing. The conversion of research outputs into tangible outcomes, and, ultimately, sustainable
impact is critically important and needs optimising.
The process of converting research findings into economic and social benefits appears increasingly complex at a time when
researchers often work in multidisciplinary teams, in a context of Open Innovation when cooperating with industry and other
stakeholders. Illuminating it from the perspective of Research Translation, an approach increasingly gaining traction in the
specific setting of University-Industry Collaboration, OPEN-INNO-TRAIN aims at opening the black box of knowledge
conversion processes to generate and apply new insights from those four industry areas. Furthermore, OPEN-INNO-TRAIN
encapsulates the development of robust Research Translation tools capable of facilitating the translation process of
multidisciplinary research findings for the generation of impact. Combining scientific excellence from European and
international universities, Research and Technology Organisations with hands on expertise from pioneering companies, OPEN-INNO-TRAIN will spearhead this sustainable venture using digital innovation hubs, co-tutelle, industrial PhDs, PPPs and training measures to encourage international cooperation among researchers and industry practitioners across disciplines whose final aim is to holistically foster, enhance and sustain over time the application of good research translation practices.
Industry and society are experiencing the transformational impact of the autonomous systems revolution, empowered
by automation capabilities offered by Artificial Intelligence (AI). Cyber-physical Systems of Systems (CPSoS) define a multi-faceted and dynamic environment where autonomy is fundamental to govern the complexity of interactions between the virtual and physical worlds with minimal human intervention. However, even when the most advanced degree of autonomy is exercised, the human is a variable which cannot be left out of the CPSoS equation, particularly in safety critical scenarios like autonomous transportation. TEACHING puts forward a vision of humans at the centre of autonomous CPSoS, by embracing the concept of Humanistic Intelligence, where the cybernetic and biological entities cooperate in a mutual empowerment towards a shared goal and where human feedback becomes a crucial
driver for CPSoS adaptivity. TEACHING addresses the challenge by integrating AI with fundamental concepts of
security and dependability stemming from the AI-human-CPSoS interactions, and by considering their impact on the underlying computing system. TEACHING develops a human-aware CPSoS for autonomous safety-critical applications, based on a distributed, energy-efficient and dependable AI, leveraging edge computing platforms integrating specialized computing fabric for AI and in-silico support for intelligent cybersecurity. The goal is to design a computing software and system supporting the development and deployment of adaptive and dependable CPSoS applications, allowing to exploit a sustainable human feedback to drive, optimize and personalize the provisioning of the offered services. TEACHING outcomes will fundamentally impact the development of autonomous safetycritical systems, providing means to improve their safety, dependability and overall acceptability. This impact will be demonstrated by TEACHING in two pilots concerning autonomous driving and aviation.
CYBERENG is working on the definition of training and skill set for automotive cybersecurity engineers and managers, together with a certification scheme to foster the recognition of this qualification. Automotive cybersecurity is a new challenge for the European Automotive companies additionally complicated by the absence of qualified persons or even qualification schemes. Faced with the complex challenges of integrating cybersecurity engineering and managing into the existing processes, considering electric/electronics and software, as well as product design, development, and manufacturing, these companies experience a substantial gap between the quality engineering skills of recent graduates and
their actual needs and expectations. This gap leads to a significant decrease in efficiency, effectiveness and therefore competitiveness of these companies. Upcoming regulation like the draft proposal to introduce a regulation on cybersecurity for road vehicles type approval, which is prepared by UNECE WP.29 – Harmonization of Vehicle Regulations is only increasing the urgency to address cybersecurity. Summarized there are currently two major requirements for the automotive domain prepared by UNECE WP29. There is a need to have a Cybersecurity Management System (CSMS) and each vehicle type needs evidence about the achievement of cybersecurity. The CSMS must include processes for risk
identification and management (assessment, categorization, treatment, verification of treatment), security testing, updating of the risk assessment, monitoring and reaction on cyberattacks and identification and reaction to new threats. The processes need to cover the whole lifecycle (development, production, post-production) and supply chain. For each vehicle type, a risk-based approach (risk assessment, risk treatment, testing of risk treatment) need to be demonstrated.
The qualification measure aims to increase the
knowledge and competencies of the
participating companies with regard to
sustainable innovation. It should
reach the organizations impulses, which
competitive advantages through sustainable
competitive advantages through sustainable
competitive advantages. At the same time, digital
competencies are to be built up and
organizational learning should be supported.
The qualification measure aims to increase the
knowledge and competencies of the
participating companies with regard to
sustainable innovation. It should
reach the organizations impulses, which
competitive advantages through sustainable
competitive advantages through sustainable
competitive advantages. At the same time, digital
competencies are to be built up and
organizational learning should be supported.
The aim of the project is to enable the realization of the aims of the Blueprint, namely the delivery of human capital
solutions to supply chain SMEs through the establishment of an Automotive Sector Skills Alliance covering all levels
of the value chain (vehicle production, automotive suppliers and automotive sales and aftermarket services).
A SSA will be established to build upon the GEAR 2030 work, whilst proposing concrete and practical initiatives to
address skills challenges, in particular through facilitating mobility of workers within automotive. Through this
approach, a sustainable cooperation on skills development across the value chain and through concrete initiatives will
be realised during the project, with four distinct aims:
1. Harness existing and proven Skills Frameworks in European countries (UK, GE), modernize them to cope
with future automotive trends (using expert analysis companies), and look at the deployment into new
countries (like e.g. PT, SK, RO, SP, CZ etc.).
2. Enable mutual recognition of awards between formal and informal automotive education, VET and
universities, and across Europe in order to enhance the use and success of government funded mobility
programmes such as Erasmus+ KA1.
3. Implementation of common European automotive skills umbrella and integration of existing skills
frameworks (Sector skills council, ECQA, AQUA, SkillMan, Skills Passport, etc.) including pilot trainings.
4. Project aims to build on the successful deployment of the Apprenticeship Marketplace by enhancing its
effectiveness for automotive job seekers. An IT infrastructure will be implemented to detail common job
requirements, which will be available for job seeking, training providers namely universities, VET providers
and more, as well as forming a market place job offers on local, nation and European levels.
Through the realization of the four aims, GEAR 2030’s strategy pilot implementation can be delivered and built upon
through the Blueprint SSA.
This project aims to develop
- A skill set for an electric powertrain engineer
+ including functional design and safety topics
+ whole life cycle/production
- A set of training materials
- A Europe wide certificate for electric powertrain engineers in cooperation and based on ECTS and ECVET schemas.
To support the change from combustion engine to electric powertrain it is needed to attack this issue in parallel.
Measurable objectives:
- Skills set developed
- Training materials developed
The HyUnify platform integrates a cloud oriented architecture used in an real-time embedded systems context in the domain of hydro-electric power generation.
A strategic goal is to support components used for optimization of energy production and grid stability on all layers of control (generators, power plant, and possibly grid level).
The HyUnify platform integrates a cloud oriented architecture used in an real-time embedded systems context in the domain of hydro-electric power generation.
A strategic goal is to support components used for optimization of energy production and grid stability on all layers of control (generators, power plant, and possibly grid level).
Study regarding functional and non-functional requirements for a Industrial IoT.
Seamless model based design for saftey relevant embedded automotive systems