Tag: research

5 links

accss.nl > Aiko Pras, Arno Lodder, Bart Jacobs, Bernold Nieuwesteeg, Bibi van den Berg, Cees de Laat, Frederik Zuiderveen Borgesius, Herbert Bos, Lokke Moerel, Luca Allodi, Marten van Dijk, Michel van Eeten, Nele Mentens and Sandro Etalle
Ontsluiting van datalekken (open brief) | ACCSS
Iedereen kent het coronadashboard. Biomedische wetenschappers gebruiken het dashboard en de daaraan ten grondslag liggende research datasets dagelijks. Ze bestuderen onder andere de ernst van de pandemie, de effectiviteit van vaccins en de opkomst van nieuwe varianten. Het doel is niet alleen om de wetenschap te dienen, maar juist ook om met concrete oplossingen de pandemie te lijf te gaan.
 · data-breaches · netherlands · research

ai.googleblog.com > Lora Aroyo and Praveen Paritosh
Uncovering Unknown Unknowns in Machine Learning
11 feb. 2021 - The performance of machine learning (ML) models depends both on the learning algorithms, as well as the data used for training and evaluation. The role of the algorithms is well studied and the focus of a multitude of challenges, such as SQuAD, GLUE, ImageNet, and many others. In addition, there have been efforts to also improve the data, including a series of workshops addressing issues for ML evaluation. In contrast, research and challenges that focus on the data used for evaluation of ML models are not commonplace. Furthermore, many evaluation datasets contain items that are easy to evaluate, e.g., photos with a subject that is easy to identify, and thus they miss the natural ambiguity of real world context. The absence of ambiguous real-world examples in evaluation undermines the ability to reliably test machine learning performance, which makes ML models prone to develop “weak spots”, i.e., classes of examples that are difficult or impossible for a model to accurately evaluate, because that class of examples is missing from the evaluation set.
 · adversarial-ai · crowd-sourcing · generative-adversarial-networks · machine-learning · research

www.cmdmethods.nl > Koen van Turnhout
CMD Methods Pack - find a combination of research methods that suit your needs
Choosing methods can be difficult. There are many different design research methods and just as many reasons why one method may be better suited for your project than others. The Development Oriented Triangulation (DOT) – Framework offers a good way to understand the differences and similarities between many design research methods. This cmdmethods card set and the DOT-framework form a perfect couple. Understanding the framework will help you to use the card set in a better way and the card set aids your understanding of the framework. In this mini-manual we give a brief introduction to the DOT-Framework and the use of this card set.
 · design-methods · research