Home
Center for Data Science
Workshop 10 June 2024

CEDAS Data Science in Practice Event

CEDAS hosted an event to bring together data science theorists and practitioners, 10 June 2024

Main image
Photo:
Colourbox

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. 

Event Program

Welcome

 

09:00 – 09:15

Plenary Speaker

 Inge Jonassen

09:15 – 09:30

Presentations

 

09:30 – 10:50

Erlend Torgnes (Optimeering)

Data driven decision support for aquaculture

09:30 – 09:50

Noeska Smit (UiB)

Medical visualization in practice

09:50 – 10:10

Morten Mjelde (Bouvet)

You need data to do data science - what are the practical challenges?

10:10 – 10:30

Julien Brajard (Nansen Center)

Machine Learning for Climate Science: opportunities and challenges

10:30 – 10:50

Break

 

10:50 – 11:20

Case study

 

11:20 – 12:50

Johan Haveland

Erfan Alesahebfosoul

(Asistobe)

Tap-in to Tap-out Challenge

11:20 – 12:50

Lunch

 

12:50 – 13:50

Presentations

 

13:50 – 15:30

Jakob Kallestad (Equinor)

Human-AI Synergy: Deploying Agentic AI Chatbots to Enhance Workflow Efficiency.

13:50 – 14:10

Mehak Khan (HVL)

Explainable Land Use and Land Cover Classification Based on Transformers Using Satellite Imagery

14:10 – 14:30

Paul Skeie (Eviny)

Forecasting electrical load on EV car chargers with a transformer neural network

14:30 – 14:50

Fabio Zennaro (UiB)

Causal Reasoning in Practice

14:50 – 15:10

Bent Gjendem (NCE)

What's up with AI in financial services?

15:10 – 15:30

Break

 

15:30 – 16:00

Panel discussion

 

16:00 – 17:00

 Data Science, theory vs practice16:00 - 17:00

Dinner

 

18:00

 

Dinner 

Time: 18:00 

Place: Scandic Ørnen - Lars Hillesgate 18. 

Scandic Ørnen is a hotel 5 minute walk from the event venue. 

 

Tap-in to Tap-out Challenge

Data for the challenge can be found here.

You can validate your models using the ground truth data found here.