Open Data Science 2024

Rasmus Erik @ solsort.com

Introduction

  • Introduction, and my background
  • Tour of different topics related to open data science
  • Deep-dive into a topic of your choice
  • Conclusion and reflection

Interactive session

Ask questions!

If you are curious about something, others may have the same question, – do them a favour and ask.

Content depends on your interests.

Dialogue.

My Background

Rasmus Erik @ solsort.com

  • Entrepreneur using OPEN DATA, Solsort ApS
  • DATA SCIENTIST (part-time) in AI-team at DBC,
  • Studying religion(cross-cultural) at KU, and active in LightHouse, Green Students, DH-Cult and UKUA
  • MSc. in Computer Science, – including courses from information studies (taught by Haakon) and work in IT-Lab(predecessor to DigiLabs)

The Topics

  • Literature recommendations
  • Image categorization
  • Image recommendations
  • Data accessibility
  • Digitalisation and public libraries
  • AI and learning
  • LLMS á la ChatGPT

Recommender systems

Literature recommendations.
Collaborative filtering. JSON.

Image categorization

Project for the National Museum.
Machine learning. Supervised vs unsupervised.

Image recommendation

Project for the State Museum of Art (SMK).
Feature engineering, dimension reduction and PCA.

Making data accessible

BibData, Hack4DK and UKUA. Linked Open Data.

Digitalisation in the Public Libraries

Display solution, cover images, and app-tech.
Open data. Navigating organizational structures.

Digital in the physical

Learning and AI

Quizzes and book about History of Ideas.
Tips, pros and cons for studying/learning

Language models á la ChatGPT

ChatBib and SkoleGPT.   (DBC)
How LLMs work. Transformer architecture.

Deep dive

Which of the previous topics
are you most curious about?

The Topics

  • Literature recommendations
  • Image categorization
  • Image recommendations
  • Data accessibility
  • Digitalisation and public libraries
  • AI and learning
  • LLMS á la ChatGPT

Conclusion and reflection

Questions?

Reflection

  1. Reflect on what was the most important conclusions, information or insights for you in this lecture
  2. Discuss with your neighbour
  3. Follow-up in plenum

Questions?

Slides on UKUA.dk

Feel free to get in touch
Rasmus Erik @ solsort.com

Lighthouse SC breakfast
mondays at 9am, 6B.1.06