CEDAS Data Science in Practice Event
CEDAS hosted an event to bring together data science theorists and practitioners, 10 June 2024
Main content
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.听
Event Program
Welcome | 听 | 09:00 鈥� 09:15 |
Plenary Speaker | 听Inge Jonassen | 09:15 鈥� 09:30 |
Presentations | 听 | 09:30 鈥� 10:50 |
Erlend Torgnes (Optimeering) | Data driven decision support for aquaculture | 09:30 鈥� 09:50 |
Noeska Smit (UiB) | Medical visualization in practice | 09:50 鈥� 10:10 |
Morten Mjelde (Bouvet) | You need data to do data science - what are the practical challenges? | 10:10 鈥� 10:30 |
Julien Brajard (Nansen Center) | Machine Learning for Climate Science: opportunities and challenges | 10:30 鈥� 10:50 |
Break | 听 | 10:50 鈥� 11:20 |
Case study | 听 | 11:20 鈥� 12:50 |
Johan Haveland Erfan Alesahebfosoul (Asistobe) | Tap-in to Tap-out Challenge | 11:20 鈥� 12:50 |
Lunch | 听 | 12:50 鈥� 13:50 |
Presentations | 听 | 13:50 鈥� 15:30 |
Jakob Kallestad (Equinor) | Human-AI Synergy: Deploying Agentic AI Chatbots to Enhance Workflow Efficiency. | 13:50 鈥� 14:10 |
Mehak Khan (HVL) | Explainable Land Use and Land Cover Classification Based on Transformers Using Satellite Imagery | 14:10 鈥� 14:30 |
Paul Skeie (Eviny) | Forecasting electrical load on EV car chargers with a transformer neural network | 14:30 鈥� 14:50 |
Fabio Zennaro (UiB) | Causal Reasoning in Practice | 14:50 鈥� 15:10 |
Bent Gjendem (NCE) | What's up with AI in financial services? | 15:10 鈥� 15:30 |
Break | 听 | 15:30 鈥� 16:00 |
Panel discussion | 听 | 16:00 鈥� 17:00 |
| 听 | Data Science, theory vs practice | 16:00 - 17:00 |
Dinner | 听 | 18:00 |
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Dinner听
Time: 18:00听
Place:听 - Lars Hillesgate 18.听
Scandic 脴rnen is a hotel 5 minute walk from the event venue.听
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Tap-in to Tap-out Challenge
Data for the challenge can be found .
You can validate your models using the ground truth data found .
