Konstantin Hanlon deals with the question how a sustainable transformation can be facilitated by data-driven strategies. How can data and modern data-based models create common good and avoid high resource and energy costs? At the IÖW he is working on statistical analysis and visualizations of survey data and helps create economic models.

In his studies of Applied Data Science, Konstantin Hanlon is currently working on his Master’s Thesis where he utilizes modern language models to identify potential biases in political datasets.
 

Schwerpunkte

• Sustainable Transformation
• Data-driven strategies
   

Berufserfahrung

• Since 05/2023: Student assistant for at the IÖW
• 2020 – 2022: Project and office management, startklar a+b, Cologne
   

Ausbildung

• Since 08/2022: Master’s degree in Applied Data Science (M.Sc.) at Gothenburg University
• 2015 – 2019: Bachelor’s degree in Environmental Sciences (B.Sc.) at the Leuphana University Lüneburg