ΑΙhub.org
 

CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Ricardo Chavarriaga

Ricardo Chavarriaga

In this final interview in the series of Meet the Team Leaders from the CLAIRE COVID-19 Initiative, we hear from Ricardo Chavarriaga, head of the CLAIRE office in Switzerland, and a senior researcher at the Zurich University of Applied Sciences.

AIhub focus issue on good health and well-being

Ricardo Chavarriaga is the head of the CLAIRE office in Switzerland, and coordinator of the CLAIRE COVID-19 taskforce. In this interview you can find out why he decided to join the initiative, how the taskforce helped tackle the pandemic, and the next steps.

To find out more about this series, read our recent post and watch the first video with Emanuela Girardi. You can also watch interviews with Davide Bacciu, Ann Nowé, Jose Sousa, Marco Maratea, Manlio De Domenico and Marco Aldinucci.

You can watch the series on the CLAIRE YouTube channel.

Find out more about the CLAIRE COVID-19 task force here.
You can contact the taskforce by email here.



tags: , ,


CLAIRE (Confederation of Laboratories for AI Research in Europe)

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

François Pachet on music generation with AI

  16 Jul 2026
“The day I hear a song of the quality of the Beatles, I will say: ‘Okay, we are done’. And I’ve never heard anything like that. Never.”

AI for science – talk recordings now available to watch

  15 Jul 2026
Watch the invited talks from the day on YouTube.

AAAI presidential panel – factuality and trustworthiness

  14 Jul 2026
Watch the latest panel discussion in the series based on the Future of AI research report from AAAI.

The secret to human ‘brilliance’ that AI just can’t match

  13 Jul 2026
New research reveals how people learn social conventions with minimal data – and why that sets us apart from LLMs.

Pre-training isn’t bitter enough

  10 Jul 2026
Given an unlabeled data stream, and a small set of verifiable downstream examples, can we use those examples during continued pre-training?

Interview with Thi Kieu Khanh Ho: Time-series anomaly detection

  09 Jul 2026
How can we teach AI systems to recognize when something unusual or abnormal is happening in complex, real-world data streams, without relying on large amounts of labeled examples?

#RoboCup2026 social media round-up

  08 Jul 2026
Find out what the teams got up to at this year's RoboCup extravaganza in Incheon.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence