Photo of Dr. Linda Ejlskov

👏 Congratulations to Dr. Linda Ejlskov of Aarhus University, recipient of our Early Career Researcher Award (Innovative Concepts or Methods in Social Epidemiology)!

In our final award, we highlight her novel research contributions.

🎥 Catch the video feature here: www.social-epi.org/ises-awards

Pioneering automation in agricultural subsidy processing through deep learning for computer vision Validating farmers’ eligibility for subsidies under the European Union’s Common Agricultural Policy (CAP) requires substantial resources. An automated solution can minimize human errors and save ti...

🚨 New Publication Alert! 🚨

Can AI revolutionize agricultural subsidy processing in the EU? Our latest paper shows deep learning might just be the game-changer! 🌾🤖

www.tandfonline.com/doi/full/10....

Income in epidemiological research: a guide to measurement and analytical treatment with a case study on mental disorders and mortality Background Income is one of the most widely used indicators of socioeconomic position in studies of health inequalities. Despite its frequent use, no empirical-driven guidelines exist on how to operat...

Check out our new study on measuring income in health research!

We’ve developed an evidence-based framework for handling income data in epidemiological studies - based on a Danish population study of almost 700k people.

Paper available at: doi.org/10.1136/jech...

1/ 🚀 Excited to share our latest paper in the Journal of Management: "Hic Sunt Dracones: On the Risks of Comparing the ITCV With Control Variable Correlations" 🐉

It’s open access: journals.sagepub.com/doi/10.1177/...

Let’s talk about why this matters and what we discovered! 🧵👇