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3 Projects, page 1 of 1
assignment_turned_in ProjectPartners:Technological University Dublin, UCD, BUCT, MDH, IMT, Télécom SudParis +2 partnersTechnological University Dublin,UCD,BUCT,MDH,IMT, Télécom SudParis,UL,KNUFunder: European Commission Project Code: 2021-1-IE02-KA220-HED-000023212Funder Contribution: 293,737 EUR<< Background >>In the aftermath of COVID-19, remote working has become the norm, and graduates now need an even wider range of skills which traditional classrooms and domestic internships don’t always emulate. Working in multiple time-zones, within global multi-cultural teams, and only ever meeting colleagues through online technology are just some of the challenges which require a new type of global graduate. Transversal skills including leadership, collaboration, innovation, digital, green, organisation and communication skills are critical. The disruption from COVID-19 also presents unprecedented opportunities to develop more inclusive approaches to internships and international experiences, to level the playing field for students with special needs, from underrepresented groups or with caring commitments.The Global Innovation Teams model will allow students to complete technology internships and projects by working together virtually on real world challenges, guided by experiencedInnovation Brokers, industry mentors and academic mentors in order to develop transversal skills (collaboration, digital and green). The model will be designed in collaboration withindustry professional, blended learning experts and remote learning experts. The model will be dynamically evaluated every academic semester. The idea for GI Teams was brought tolight during the workings HubLinked Knowledge Alliance (which included 5 of the GI Teams partners) wherein the Global Labs model, a collaborative project-based teaching/learningmodel, was developed and the need for a similar model for internships emerged.This partnership includes 7 HEIs from 6 different countries around the world (Ireland, France, Sweden, Slovenia, China, South Korea). All the partners are located at the center ofrelevant ICT hubs and have a consolidated history of engaging industry partners in work-based curricula.The Project will have direct impact on students that will benefit from an internationalization at home experience and enhanced curricula. Companies, voluntaries, NGOs, researchgroups and/or charities (industrial partners) will be impacted as well: they will benefit from direct relationships with young talent early in the recruitment pipeline, they will expand talent recruitment to international locations, they will be able to access a low-cost, low-commitment and structured way to prototype ideas. Moreover, the partnership will promote sharing resources and knowledge on how to deliver quality online and remote education and upskill teachers/lecturers to deliver high quality remote teaching.After the Project, the Global Innovation Teams modules will be mainstreamed in all the European partners’ institutions and will be accessible to all the partners’ students. It is expected that the Project will have an impact on other HEIs in the involved regions and that our model for virtual internships will be adopted by other institutions.This partnership believes it is crucial to equip education and training systems to face the challenges presented by the sudden shift to online and distance learning caused by the spread of COVID19, including safeguarding the inclusive nature of learning opportunities. The aim of this partnership is to address the issues posed by COVID19 collectively to develop a shared understanding beyond national borders. During the COVID19 emergency all partner organisations have implemented online and distant learning tools in order to cope with this unprecedented situation, we believe it’s now time to share the acquired experience and design innovative curricula in order to create graduates that are not only capable of adapting to similar situations, but that were specifically trained for it.<< Objectives >>The objectives of the Project are linked to specific needs:1. Design a model for virtual internships. This is needed to HEIs as a response to COVID19 and the need to deliver quality education through online/virtual means. The model willdirectly impact students that need to be supported in adapting to online/distant learning without missing valuable educational experiences. The model will: include blended teaching/learning; be work-based; incorporate several digital technologies, both online and offline; be designed in a safe and responsible way. We aim at designing the model reducingthe risks related to digital tools and online teaching/learning as much as possible or promote awareness on the inevitable risks.2. Transferability. Transferability is one key objective of the Project. On the completion of the Project, the Global Innovation Teams modules will be mainstreamed in all the Europeanpartners’ institutions. It is expected that the Project will have an impact on other HEIs in the involved regions and that our model for virtual internships will be adopted by otherinstitutions.3. Upskill of staff. Academic staff needs to be trained in adapting to online/distance learning and to deliver their lectures in a safe and responsible way. The Project will upskillteachers/lecturers on: (i) the use of digital tools and methods for quality education; (ii) the use of hybrid (blended, virtual, physical) teaching; (iii) the use of collaborative teaching; (iv)the use of work-based teaching, (v) how to teach Digital Ethics topics in order to teach and promote safer and more responsible use of digital technology.4. Upskill of industry professionals. On-site internships have been suspended in most organisations in the past 7 months. We aim at training industry professionals on how to run virtual internships, act as mentors and help students personalize their training experience.5. Inclusiveness by design. Developing innovative practices for online/remote teaching it’s also a great opportunity to develop more inclusive approaches to internships andinternational experiences, to level the playing field for students from underrepresented groups, with caring commitments and with special needs.6. Strengthening the partnership and the industry network. TU Dublin has bilateral agreements with each partner in the Consortium. The Project aims at creating new connectionsbeetween the partner institution, specifically share and expand a network of industry partner that can provide projects for project/work-based modules and share knowledge on blended and distant teaching/learning.<< Implementation >>Global Innovation Teams will:- Design a Global Innovation Teams format. Global Innovation Teams will be a structured learning experienced within an international team of students tasked with working on a substantial technology-driven innovation challenge. The GI Teams model will be designed to help learners develop their transversal skills in a multidisciplinary international multicultural context.- Implement at least 4 Global Innovation Teams modules in 4 European HEIs.- Provide guidelines for HEIs on how to implement Global Innovation Teams in their institution.- Accredit a CPD module for teachers and industry mentors focused on how to run a GI Teams module.<< Results >>The key results from Global Innovation Teams are outlined as follows and linked to the main Project’s objectives.1. Design a model for virtual internships. This objective will be achieved design and implementing the Global Innovation Teams model. Global Innovation Teams is a model that will allow students to complete technology internships and projects by working together virtually on real world challenges, guided by experienced Innovation Brokers, industry mentors and academic mentors in order to develop transversal skills (collaboration, ethical, digital and green). The model will be designed in order to: include collaborative teaching/learning, include blended teaching/learning, work-based teaching/learning, provide an internationalization at home experience for students, be delivered fully online. The model will be piloted in TU Dublin (IO1) and subsequently implemented in each European institution (IO2). Students from each institution (European and non-European) will be able to join the modules. Each module will involve academic coordinators and industry mentors of any other partner institution. The model will be mainstreamed in the partner institutions after the end of the Project. By implementing similar modules in the partner organisations and exchanging staff, our Project also aims at strengthening the cooperation and networking between the organisations while implementing an innovative format for online/remote internships.2. Transferability of the model. Transferability is one key objective of the Project. On the completion of the Project, the Global Innovation Teams modules will be mainstreamed in all the European partners’ institutions and will be accessible to all the partners’ students. It is expected that the Project will have an impact on other HEIs in the involved regions and that our model for virtual internships will be adopted by other institutions. The Global Innovation Teams Experience result (IO3) is inherently connected to this objective. The report will contain a reflection of our experience and guidelines for HEIs who might want to adopt the model in their institutions. Expected results linked to this objective are also Multiplier and Dissemination events.3. Upskill of staff. We will deliver a CPD Staff Training programme to support teachers/lecturers in adapting to online and remote teaching. The specific aims of the training will be to uspkill them on: (i) the use of digital tools and methods for quality education; (ii) the use of hybrid (blended, virtual, physical) teaching; (iii) the use of collaborative teaching; (iv) the use of work-based teaching, (v) how to teach Digital Ethics topics in order to teach and promote safer and more responsible use of digital technology.4. Upskill of industry professionals. A short version of the CPD Staff training will target industry professional in order to upskill then in Early Talent Mentoring.5. Inclusiveness by design. Developing innovative practices for online/remote teaching it’s also a great opportunity to develop more inclusive approaches to internships and international experiences, to level the playing field for students from under-represented groups, with caring commitments and with special needs. We will design the GI Teams model in order to support inclusiveness.6. Strengthening the partnership and the industry network. It is expected that this Project will strengthen the cooperation between the partner organisations and expand each institution’s network of industry partners. To achieve this objective Transnational Project Meetings might include visits to industry partners and other networking activities. A dedicated mailing list will be created were the Project’s participants will share relevant info and ideas for the Project or future projects. Expected results to achieve this objective also include dissemination activities and Multiplier Events to be hold online or in the Participant Organisations country.
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For further information contact us at helpdesk@openaire.euassignment_turned_in Project2024 - 2027Partners:Sorbonne University, Durham University, Jagiellonian University, University College London, University of Glasgow +3 partnersSorbonne University,Durham University,Jagiellonian University,University College London,University of Glasgow,CNRS-LPSC,KNU,Boğaziçi UniversityFunder: CHIST-ERA Project Code: CHIST-ERA-22-ORD-06The Large Hadron Collider (LHC), and other major particle-physics experiments past, present, and future, are vast public investments in fundamental science. However, while the data-analysis and publication mechanisms of such experiments are sufficient for well-defined targets such as the discovery of the Higgs boson in 2012 (and the W, Z, and gluon bosons before), they limit the power of the experimental data to explore more subtle phenomena. In the 10 years since the Higgs-boson discovery, the LHC has published many analyses testing the limits of the Standard Model (SM) — the established, but suspected-incomplete central paradigm of particle physics. Each direct-search paper has statistically disproven some simplified models of physics beyond the SM, but such models are no more a priori likely than more complex ones: the latter feature a mixture of the simplified ones’ new phenomena, but at lower intensity, rather than concentrated into a single characteristic. To study such “dispersed signal” models requires a change in how LHC results are interpreted: the emphasis must shift to combining measurements of many different event types and characteristics into holistic meta-analyses. Only such a global, maximum-information approach can optimally exploit the LHC results. This project will provide a step towards building the infrastructure needed to make this change. It will facilitate experiments to provide fast, re-runnable versions of data-analysis logic through enhancements of a domain-specific language and event-analysis toolkits. It will join up the network of such toolkits with the public repositories of research data and metadata. It will provide common interfaces for controlling preserved analyses in the multiple toolkits, and for statistically combining the thousands of measurements and assessing which combinations can provide the most powerful scientific statement about any beyond-SM theory. At the start of the 3rd major data-taking run of the LHC, the time is now ripe to put this machinery and culture in place, so that the LHC legacy is publicly preserved for all to reuse. The project specifically aims to enhance the extent to which public analysis data from particle-physics experiments (in a general sense, but particularly summary results such as those used in publication plots and statistical inference, rather than raw collider events) can be combined and re-used to test theories of new physics. These tests, pursued by theorists and experimentalists alike, can also go beyond particle physics and also connect to astrophysics and cosmology, nuclear-physics direct searches for dark-matter. The value of combining information from different individual analyses was made clear early in the LHC programme, as early experimental data proved crucial for improving models of SM physics. The huge scientific volume, greater model-complexity, and increased precision of the full LHC programme requires pursuing this approach in a more systematic and scalable manner, open to the whole community and including use of reference datasets to ensure validity into the far future. The time is right for this step, as the key technologies (DOI minting and tracking, RESTful Web APIs, version-control hosting with continuous integration, containerisation) have become mature in the last 5 or so years. Particle physics already has established open data and publication repositories, but the crucial link of connecting those to scalable preservations of the analysis logic needs to be made, as does normalising the culture of providing such preservations and engaging in the FAIR principles for open science data. Individual physicists are generally enthusiastic about such ideals, as evidenced by the uptake of open data policies at particle-physics labs, and preservation of full collider software workflows. But an explicit, funded effort is required to eliminate the technical barriers and make these desirable behaviours more accessible and rewarded.
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For further information contact us at helpdesk@openaire.euassignment_turned_in ProjectPartners:Oamk, MDH, IMT, EBN, EUROCREA MERCHANT SRL +6 partnersOamk,MDH,IMT,EBN,EUROCREA MERCHANT SRL,HDA,SAP SSC IRELAND,UL,ISME,KNU,Technological University DublinFunder: European Commission Project Code: 574368-EPP-1-2016-1-IE-EPPKA2-KAFunder Contribution: 999,397 EURBy creating a sustainable strategic network of major European ICT hubs, the goal of HubLinked is to strengthen Europe’s software innovation capacity by learning from regions of proven ICT strength and sharing that knowledge will all regions. HubLinked will (i) improve the effectiveness University-Industry (U-I) linkages between computer science faculty and different types of companies (ii) develop global software innovator graduates that can work in any sector and (iii) upskill academic and industry staff to engage in U-I linkages for software innovation. Although the ICT sector is a major economic sector in Europe, HubLinked also includes SMEs in the non-software sector to provide a ‘low-cost low-commitment’ mechanism to prototype software innovations. An established partnership of large, industry-focused computer science faculties have come together with a representative mix of industry partners (large multinationals, SMEs in both the software and other sectors and start-up companies).HubLinked has six deliverables (i) effective U-I linkages (ii) the CSI4 curriculum framework for industry-oriented, internationalised, innovation-focused and interdisciplinary computer science degrees (iii) four Global Labs modules (iv) A portal of study and placement opportunities for students (v) An online professional development for academic and industry staff (vi) Form the HubLinked Association with a long term goal of including a partner from each EU country.We estimate the HubLinked partnership can directly reach over 3,000 companies, 12,000 students and 400 staff during the lifetime of the project. HubLinked will create a network of European ICT professionals that will increase the innovation capacity and competitiveness of European software hubs and help underpin education, research, innovation, trade and economic development for years to come.
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