Following the remarkable success of our inaugural event in the “Data and Sustainability” series, BCN Analytics is thrilled to present the topic of our next session: “Data and Climate Modelling”.

The goal of this series of events is to encourage prestigious researchers and industry leaders to inspire our community’s passion for forging a sustainable future. Through talks and discussions, they will explore the transformative potential of data-driven solutions for a more sustainable world, spanning topics such as decarbonization, predictive climate modelling, the blue economy, and beyond.

The first talk of the afternoon will be given by Francisco Doblas-Reyes and Rachel Lowe, from the Barcelona Supercomputing Center. They will cover how the BSC is using data and computation to make climate projections based on different emission scenarios.

In the second talk, Ignacio Villanueva from RavenWits will explain how Deep Learning’s expansion into weather prediction will not only popularize and enhance the forecasting of weather-related variables but also extend to improving predictions for renewable energy production.

Finally Ferran Alet, Research Scientist at Google DeepMind, will show that GNNs trained on large-scale dataset can predict global weather forecasting at a state-of-the-art level, improving on physics-based models that have been developed for decades. Predictions translate to real world impact like better extreme temperature predictions as well as better.

Event will be on April 17th at Adevinta offices (Barcelona) and will start at 18:30h.

After the talks, food and drinks will be provided so we all have time for some networking and follow-up discussions.

You can register here.

How data is being harnessed to tackle some of the biggest challenges our planet is facing? At BcnAnalytics we are organizing an informative meet-up series exploring the vital role of data in the sustainability movement.

In our events we will feature thought leaders and industry experts who are leveraging data to create a more sustainable future. They will share their experiences and inspire us in the path towards Data-Driven Solutions for a More Sustainable World. We will cover a broad variety of topics such as decarbonization, predictive modeling for climate risk, blue economy and many others.

Our first event will be about the role data in the Decarbonization. Where are we now? How does the future look like? What is the role of Agriculture? Can Data help to accelerate Decarbonization? According to International Energy Agency (IEA), global energy-related CO2 emissions grew in 2022 by 0.9%, or 321 million tonnes, reaching a new high of more than 36.8 billion tonnes. Emissions still remain on an unsustainable growth trajectory, and experts are calling for stronger actions to accelerate the clean energy transition to meet energy and climate goals.

In this first event we will have Anne-Lise Laurain (Incubatenergy Europe) and Pablo Rosado (Our World in Data) as speakers.

Event will be on June 19th at Adevinta offices (Barcelona) and will start at 19h. We will open doors at 18:30. Do not be late!

After the talks, food and drinks will be provided so we all have time for some networking and follow-up discussions.

You can register here.

La Societat Catalana de Matemàtiques conjuntament amb la Societat Catalana d’Estadística organitza una jornada dedicada a promoure l’activitat de les matemàtiques i l’estadística en el món empresarial. El títol d’aquesta jornada és La Funció de les Dades. Les places són limitades i cal enregistrar-se prèviament en aquest enllaç.

La primera part de la jornada (matí) estarà formada per tallers d’una hora que tenen l’objectiu de donar eines, algunes més conegudes i d’altres de menys, que ajudin a les empreses a treballar amb les seves dades.

En la segona part (tarda) tindrem xerrades amb gent del món empresarial que ens explicarà la seva visió i experiència al voltant de l’ús de les matemàtiques i l’estadística en el món empresarial.

La Jornada tindrà lloc el 14 de novembre a la sala Prat de la Riba, IEC. Carrer del Carme, 47.