Sine Zambach
Tenure Track Assistant Professor
Departments
Institut for Digitalisering
Room: HOW/60-5.10
Kunstig intelligens
Maskinlæring
Statistik
Big data
Uddannelse
Læring
Let's play with data and AI – investigating data science
Sine Zambach is an assistant professor at Department of Digitalization, Copenhagen Business School.
She holds a ph.d. degree in computer science and a master degree in bioinformatics. She has worked within data analysis in the educational sector, genetics and in a book publishing company. Her main focus is on artificial intelligence and machine learning in the educational sector.
Sine is an expert member of the governmental Digital Task Force for AI in the Public Sector since 2025. In addition, she serves on the board of EdTech Denmark and is a member of the Data Ethics Working Group at the Danish Academy of Technical Sciences (ATV) since 2022.
Recent research projects
AI learning and AI literacy
I study how generative AI can support student learning. Despite risks such as cheating and learning deficits, I examine how GenAI and AI-based music can be designed to engage students and enhance learning.
In a more technical stream, I analyse how student and teacher performance can be measured using diverse data sources, drawing on insights from digital learning during COVID-19.
In a more technical stream, I analyse how student and teacher performance can be measured using diverse data sources, drawing on insights from digital learning during COVID-19.
Data Studies – Data Diplomacy and Citizen Data Science
Why is so much negotiation embedded in data science work, and how does it shape outcomes? Using data diplomacy as a lens, I examine the often-invisible negotiations that take place in the backstage of data science.
In related work, I study how citizen-produced COVID-19 data visualisations shaped Danish public debate and policy, conceptualising citizen data science as an extended peer community where non-experts enrich data interpretation and democratic processes.
Data Studies at CBS
In related work, I study how citizen-produced COVID-19 data visualisations shaped Danish public debate and policy, conceptualising citizen data science as an extended peer community where non-experts enrich data interpretation and democratic processes.
Artificial compositions
How does AI influence arts and how does arts influence AI? Together with Ensemble Storstrøm, we are experimenting with Ravel and artificial intelligence in music compositions.
Funded by the Carlsberg Foundation.
https://www.ensemblet.dk/saerlige-projekter/kunstige-kompositioner/
Funded by the Carlsberg Foundation.