EIROforum will host a conference on the Grand Challenges of AI and Data Science

March 30, 2022 — Artificial intelligence (AI) and machine learning (ML) are pushing scientific research into new areas, offering new opportunities to address the complex societal and economic challenges facing our societies. From understanding the universe to tracking how viruses infect humans, producing large-scale scientific research requires increasingly innovative AI and ML, both for operating scientific instruments of edge and for complex analysis of large amounts of data.

On April 28, 2022, the EIROforum alliance of European scientific infrastructures, CERN, ESO, ESA, EMBL, ESRF, ILL, European XFEL and EUROFusion will organize a conference on the grand challenges of AI and data science. Hosted at EMBL Heidelberg, with a free livestream option for virtual attendees, the conference will feature workshops and talks showcasing cutting-edge data science and AI from EIROforum members, and explore how they can contribute to scientific progress with societal and economic impact.

Conference Chairman, EMBL-EBI Director and EMBL Deputy Chief Executive, Ewan Birney, explains: “Europe’s shared science infrastructure includes the best in the world – particle accelerators recreating the first moments of the Universe to telescopes capable of detecting the first light of this Universe. , and research facilities unlocking the inner workings of cells to understand how life works on this planet, to satellite platforms capable of examining the entire planet at macro and micro scales. As global leaders, we have quickly recognized the importance of data, analytics and artificial intelligence across all of our diverse sciences, and the transformative impact these developments will have on science and society. This conference will bring together leaders in the field alongside policy makers and stimulate new discussions on how to harness our access to scientific data at scale through artificial intelligence, and thus help Europe thrive now and the future.


To view the schedule and register for this event, please visit: https://www.embl.org/about/info/course-and-conference-office/events/eir22-01.


Simone Campana, CERN

“Our infrastructures share the common challenge of collecting, analyzing and preserving large volumes of scientific data. The new methodologies and the experience we have acquired for this purpose present a solution to the needs of other sectors and of society as a whole. »

Tim Smith, CERN

“Open sharing of data, technology and infrastructure is commonplace in science because it allows us to build on the discoveries and creations of others, advancing everyone. What works for science’s grand challenges can also strengthen society, as the basis for evidence-based decision-making.

Andreas Kaufer, ESO

“EIROForum members operate complex scientific instruments and expensive infrastructure. This conference is an excellent opportunity to share experiences in the use of new technologies such as ML and AI in this field and to discuss their potential for more effective, efficient and sustainable solutions in the control, operation and the production of data from scientific instruments.

Vincent Favre Nicolin, ESRF

“All major research infrastructures face the challenges of ‘big data’: to process increasing amounts of data both faster and smarter, and to deliver results to users in the most efficient and sustainable way. The infrastructure, algorithmic and social aspects are very similar for all EIROforum members, and this conference will be a great opportunity to get a broad overview.

João Figueiredo, EUROFusion

“In modern science, the challenges of distributing, processing and analyzing large amounts of data are of paramount importance to optimize and take full advantage of research carried out using the infrastructures of the largest scientific organizations. Sharing the combined know-how of EIROforum members in data science and artificial intelligence applications, used in telescopes and microscopes, in fusion reactors and space satellites, is certainly of great interest.

Paolo Mutti, ILL

“AI and ML are everywhere these days, in our connected objects, our phones and even in the hospital. The benefits of these techniques have also started to enter the scientific world, but their potential has not yet been fully exploited. Great benefits can be gained in the way scientists perform experiments and in the amount and quality of information that can be extracted from measured data. This EIROforum event is an excellent way to exchange practices between the different partners to advance in the exploration of new opportunities offered by AI.

Source: EIRO forum

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