HEСъфинансиране2024–2028

ALLIES · Artificial inteLLigence In sustainable dEvelopment goalS

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период
2024-01-01 → 2028-12-31
Финансиране от ЕС
1 623 840 €
Участници
33
Схема
HORIZON-TMA-MSCA-Cofund-P

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Накратко на български

Изкуственият интелект, роботиката и науката за данните се прилагат за постигане на целите за устойчиво развитие. Това помага за етичното развитие на технологиите и по-доброто им внедряване в различни сектори съгласно европейските стандарти.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Artificial inteLLigence In sustainable dEvelopment goalS

ALLIES (Artificial inteLLigence In sustainable dEvelopment goalS) is an excellent postdoctoral programme led by CSIC and coordinated through IIIA-CSIC in collaboration with the AIHUB. It aims for the recruitment of 17 postdoctoral researchers through 24-month fellowships to provide a new interdisciplinary and intersectoral dimension to AI research & innovation while fully complying with all the principles of Open Science and maintaining the highest research quality standards. The ALLIES COFUND programme includes the participation of 18 different CSIC research institutes as Implementing organisations recruiting fellows (under the umbrella of the single beneficiary organisation CSIC). ALLIES will create a workflow of excellent researchers as future leaders in AI for the implementation of CSIC’s scientific challenges in AI, robotics & data science as well as relevant EU strategies and policies like the European Commission White Paper on Artificial Intelligence and the AI Act. It will also become an entry point to support knowledge transfer in AI from CSIC to other organisations and sectors, as well as an excellent tool promote a socially acceptable and ethical progress of AI, aligned with the EU values. ALLIES postdoctoral programme represents the perfect environment for the training of recruited researchers, thus creating a myriad of future opportunities for the fellows and a workflow of excellent researchers as future leaders on AI, Robotics and Data Science. The postdoctoral programme involves a wide variety of research projects and hosting supervisors. The programme will complement the frontier research projects with advanced training aspects through an excellent training programme combining different types of activities that will enhance the fellows’ research & personal skills, providing them with new career perspectives, integrating a holistic approach to training through a combination of research-oriented and demanding soft skills. Fellows will count with full availability of world-class research infrastructures at network-level and their integration within the regular programme activities as a proof of commitment. The ALLIES training programme incorporates several novel features, including a summer school on AI ethics & regulation, training on research diversity, a retreat for personal development as well a research-industry meeting to promote the discussion on AI industrial and academic challenges, work together in use cases development and support the development of careers in the non-academic sector for the recruited fellows. Fellows will also receive training on knowledge transfer & entrepreneurship, as well as being encouraged to participate and contribute to communication & outreach activities. In addition, the international and intersectoral aspects of the programme are boosted by the collaboration with several associated partner organisations, including private companies, start-ups & spin-offs, Universities, Research & technology organisations, Hospitals and European organisations of interest. The successful award of the HRS4R “Human Resources Strategy for Researchers” excellence label to CSIC demonstrates the high level of commitment from the partnership towards excellence in HR policies, the European Charter for Researchers & the Code of Conduct.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

ALLIES (“Artificial inteLLigence In sustainable dEvelopment goalS”) is a new excellent collaborative postdoctoral programme led by the Spanish National Research Council (CSIC) and coordinated through the Artificial Intelligence Research Institute (IIIA) for the recruitment of 17 postdoctoral researchers to provide a new dimension through highly interdisciplinary & intersectoral research in the broad topic of Artificial Intelligence (AI) in alignment with the SDGs while maintaining the highest research quality standards. The programme includes the participation of 18 different CSIC research institutes expert in the fields of AI, Big Data, Machine Learning, Robotics & Data Science as Implementing organisations recruiting fellows. In addition to offering a bottom-up approach for multidisciplinary research topics in one of the 8 AI challenges covered in CSIC’s AI White Paper, the programme provides a tailor-made training programme to educate tomorrow’s AI researchers & entrepreneurs in a broad set of scientific, transferable, and business skills. ALLIES builds up on the Artificial Intelligence Hub (AIHUB) collaborative framework created by CSIC to provide an excellence platform to pursue and fulfil the strategic agenda of CSIC in AI, in alignment with national and european strategies and policies. Indeed, one of the medium-term impacts and outcomes of ALLIES is to create a workflow of excellent researchers as future leaders in AI for the implementation of CSIC’s scientific challenges in AI, robotics & data science as well as the EC White Paper on Artificial Intelligence and other relevant national and European strategies and priorities. The programme will maximise the impact on the career perspectives of recruited fellows by integrating a holistic approach to training through a combination of research-oriented and soft skills, providing the recruited fellows with personal capacities and prospective career perspectives in the academic & non-academic sectors.

Оригинален текст от CORDIS (на английски).

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Данни: CORDIS, © Европейски съюз