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Data and data science have become a crucial part of many scientific disciplines and a large variety of practical applications. Typically, data scientists have a diverse set backgrounds and interests.

Some data scientists can be described as "theorists" who concentrate on theory and developing methods and algorithms. Other data scientists can be described as "practitioners" who work with real-world problems and they apply data science methods to solve their data-related challenges.

Unfortunately, the communication between these two sides is not always perfect (or even sufficient). On the one hand, theorists do not necessarily know what practitioners do or need. On the other hand, practitioners do not necessarily know the methods that theorists have developed. With this year's CEDAS event, our goal is to bring these groups closer together and foster fruitful data science collaborations in the Bergen region. 

Event Program

09:00 – 09:15 Welcome 

09:15 – 09:30 Plenary Speaker: Inge Jonassen

Presentations

09:30 – 09:50 Erlend Torgnes (Optimeering): Data driven decision support for aquaculture

09:50 – 10:10 Noeska Smit (ºÚÁϳԹÏ×ÊÔ´): Medical visualization in practice

10:10 – 10:30 Morten Mjelde (Bouvet): You need data to do data science - what are the practical challenges?

10:30 – 10:50 Julien Brajard (Nansen Center): Machine Learning for Climate Science: opportunities and challenges

10:50 – 11:20 Break

Case study

11:20 – 12:50 Johan Haveland & Erfan Alesahebfosoul (Asistobe): Tap-in to Tap-out Challenge

12:50 – 13:50 Lunch

Presentations

13:50 – 14:10 Jakob Kallestad (Equinor): Human-AI Synergy: Deploying Agentic AI Chatbots to Enhance Workflow Efficiency.

14:10 – 14:30 Mehak Khan (HVL): Explainable Land Use and Land Cover Classification Based on Transformers Using Satellite Imagery

14:30 – 14:50 Paul Skeie (Eviny): Forecasting electrical load on EV car chargers with a transformer neural network

14:50 – 15:10 Fabio Zennaro (ºÚÁϳԹÏ×ÊÔ´): Causal Reasoning in Practice

15:10 – 15:30 Bent Gjendem (NCE): What's up with AI in financial services?

15:30 – 16:00 Break

16:00 – 17:00 Panel discussion: Data Science, theory vs practice

18:00 Dinner

 

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Group photo CEDAS event
Photo: ºÚÁϳԹÏ×ÊÔ´

Group photo