Sep
Skill School workshop series: From Data to Insight: Quantiative and Computational AI Methods
The Lund Social Science Methods Centre offers eight workshops in methods and methodologies from mid-September through mid-October in 2025. These are for teachers, researchers, and doctoral candidates who desire to continue to broaden and deepen their knowledge of research methods.
Below is a short summary and a link to Skill School's webpage where you will find more info and register for this and other Skill School workshops.
We begin with a short introduction to machine learning and by demystifying “What is AI?” through concrete examples from Lund University research. We then peel back the layers to explain “How does AI really work?” by examining the inner workings of different popular machine learning algorithms by looking at concrete applications and collaboration with a number of different scientific disciplines.
Building on this foundation, we explore AI’s role in education and academia, survey state‑of‑the‑art capabilities in generative and applied AI, and conclude with a discussion of commercialization pathways, ethical challenges, and emerging trends.
Along the way, attendees will also discover relevant educational and training opportunities at Lund - such as courses in neural networks, deep learning, and parallel programming of HPC systems - to support their own AI explorations.
Instructor: Aleksandros Sopasakis, Department of Mathematics
Arranged by: Lund Social Science Methods Centre
About the event
Location:
See Skill School's webpage
Target group:
Teachers, researchers, and doctoral candidates
Language:
In English
Contact:
skillschool [at] sam [dot] lu [dot] se