How Small is Big Enough? Open Labeled Datasets and the Development of Deep Learning
We investigate the emergence of Deep Learning as a technoscientific field, emphasizing the role of open labeled datasets. Through qualitative and quantitative analyses, we evaluate the role of datasets like CIFAR-10 in advancing computer vision and object recognition.
Oct 27, 2025
Building a Scientific Community? The WOEPS Workshop and the Evolution of the Economics of Science, 1994–2023
The paper studies the development of the Economics of Science as a new emerging field in the social sciences during the period 1994-2023.
Jul 21, 2025
AI research in Canadian hospitals: The development of metropolitan competencies
This study explores the deployment of artificial intelligence in Canadian hospitals from 2000 to 2021, focusing on metropolitan areas.
Aug 18, 2024
The interdisciplinarity dilemma: public versus private interests
Funding agencies often reward researchers with an impact across different fields.Traditional evaluation mechanisms penalize researchers with small scientific impact. Interdisciplinarity is found to increase citing fields and decrease overall citations.Researchers hence receive contrasting incentives towards interdisciplinarity. Research policy has to overcome this public vs. private interest trade-off.
Sep 14, 2022