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КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
HEСъфинансиране2023–2028

SMASH · Machine learning for Sciences and Humanities

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

Период
2023-07-01 → 2028-06-30
Финансиране от ЕС
4 776 000 €
Участници
39
Схема
HORIZON-TMA-MSCA-Cofund-P

Линиите свързват координатора с партньорите.

Накратко на български

Машинното обучение и изкуственият интелект се прилагат за анализ на големи масиви от данни в науката и хуманитарните дисциплини. Това помага за по-ефективно провеждане на съвременни експерименти и създава общност от специалисти в Словения.

Този кратък обзор е генериран от изкуствен интелект

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

Резултати накратко

Machine learning for Sciences and Humanities

SMASH is a collaborative and multidisciplinary programme co-funded by the EU and Slovenian government. It is centred on developing cutting-edge Machine Learning (ML)/AI applications for science and humanities. SMASH aims to attract 50 outstanding postdoctoral researchers from across the world, to create a multi-disciplinary environment in which they mutually benefit from knowledge exchange, both between different fields and between academia and industry. It connects scholars from five top-level institutions in Slovenia with current 38 associated partners among Slovenian businesses and academic institutions globally. ML/AI is changing how science is being performed today. A number of modern scientific experiments are currently providing large amounts of data and ML/AI is becoming a necessary tool in different research fields. Through active exchange of knowledge, commitment to strict Open access policies and high standards of Ethics evaluation, SMASH aims to set example of good practices in applications ML/AI to science in Slovenia. Main Objectives of SMASH • Enhancing research excellence and career prospects of fellows SMASH provides outstanding working conditions, personalized mentoring from leading European experts across diverse fields, and a comprehensive program of soft-skills training. This combination equips fellows with strong transferable skills tailored to their individual career paths, supporting their progression toward fulfilling careers in a rapidly evolving world • Fostering idea exchange and building a Slovenian ML/AI research community By leveraging the common language of machine learning and AI, SMASH enables efficient knowledge exchange. The program connects fellows, supervisors, and scientists working across five domains: ML/AI development from a data science perspective, climate change impact predictions, next-generation precision medicine, fundamental questions about the Universe, and the study of language and communication. While Slovenian institutions are already strong in these fields individually, SMASH aims to elevate collaboration both within Slovenia and internationally. Regular monthly seminars and annual network meetings cultivate a close-knit, creative community. Events are open to the public and hosted beyond Ljubljana, ensuring broader dissemination, knowledge transfer, and engagement with local communities throughout Slovenia. • Setting an example of the region for high standards of meritocratic recruitment SMASH operates a fully merit-based recruitment process, employing anonymized reviews to minimize unconscious bias. This approach is expected to improve the participation of underrepresented groups (across gender, race, ethnicity, and more), thereby strengthening diversity among future AI/ML researchers and developers • Placing ethics at the forefront A comprehensive ethics framework underpins the network, supported by ongoing training, assessments, workshops, Q&A sessions, and forums. Beyond technical excellence, fellows receive in-depth training on the ethical challenges and opportunities posed by AI, theories of democracy and administrative power, and issues of inequality and justice. They learn to critically assess how AI may create disparities in resources, opportunities, or power, and how it may reinforce historical injustices. This emphasis ensures that fellows develop a deep understanding of global and corporate social responsibility, equipping them to engage thoughtfully with the societal impact of AI.

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

Цел на проекта

SMASH is a brand-new training and research programme to be co-funded by the Slovenian Ministry of Science, Education & Sport. The Beneficiary, the University of Nova Gorica, is a research-focused university, situated at the Italian border, that boasts a 51:49 female:male ratio among its 200+ staff. The programme is designed to enhance the career prospects of outstanding post-docs from around the world, while strengthening Europe's human capital in R&I. Fifty talented individuals will be hired by five of Slovenia’s leading institutions, allowing them to expand their own research ideas based on access to the data-science potential of the Vega HPC supercomputer, the first such facility of the EU’s €-multi-billion HPC initiative. With a diverse group of Associated Partners, including top SMEs from Slovenia and the EU as well as world-leading institutions like UC Berkeley, SMASH will form a close-knit community with a single unifying concept: the use of cutting-edge data science to answer some of the world’s most challenging questions. These include predictions related to the impacts of climate change, the development of personalised medicine, finding answers to fundamental questions about our Universe and digging deep into the fundamentals of language and how we communicate. SMASH will guarantee a recruitment process based on openness, transparency, impartiality and equality, and will ensure neutrality by giving all selection power to external experts, setting an example for the region. Top-level training in applications of machine learning, that is one of today’s most transferable skills, will be complemented by rich soft-skill training opportunities, developed in collaboration with some of the world’s best experts, including CERN's Learning Hub. The impact of the programme will be felt for decades, both in the local research landscape and across Europe as the researchers take their skills to pursue their careers on the strength of their successes in SMASH.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз