Webinar

ODISSEE Webinar

How to shape trust in the era of data deluge and AI-driven processing?

Join us to learn about the future of online data processing in the realm of giant research infrastructures ! In this 45-minutes webinar we will introduce ODISSEE, a groundbreaking initiative designed to address the data deluge generated by SKAO and CERN’s HL-LHC using frugal AI and flexible algorithms.

This flood of data paves the way for major scientific breakthroughs, but poses a crucial challenge: current digital technologies have not been purposed to process such massive data streams, and critical evidences may go unnoticed.

ODISSEE will develop innovative AI-driven real-time data processing solutions to ensure that the data products selected, reduced and curated online before being shared with scientific communities contains all actionable information needed to maximize their research’s impact.

Speakers and topics

📍 Online

📆 22 April | 14:30 CEST

Oleg Smirnov

Oleg Smirnov

Rhodes University & SARAO

Addressing the critical challenge of reproducibility in the context of radio interferometric data processing

Vava Gligorov

Vava Gligorov

CNRS, CERN-LHCb

Introducing the ODISSEE, how the project will work across the digital continuum to ensure the data products SKAO and HL-LHC scientists rely on are trustworthy in the era of data deluge

Who should attend

🥼 Researchers and data scientists working with HL-LHC and SKAO data
📡Developers of data processing pipelines in high-energy physics and radio astronomy
👩‍🎓 Early-career scientists and PhD students interested in next-generation data processing techniques
🤖 Computational scientists and AI specialists focusing on big data challenges

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This project has received funding from the European Union’s Horizon Europe research and innovation program under grant agreement N°101188332. This website reflects only the author's view and the Commission is not responsible for any use that may be made of the information it contains.