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BLOGS

Recent blog posts

Safe & Flexible Testing of COVID-19 Treatments: flexibly combining results from many trials around the world

The BCG Trials The BCG vaccine has been in use since the 1920s as an effective vaccination against tuberculosis. There is substantial evidence that it provides a temporary boost of the immune system. Therefore, many virologists think that, within a limited period after vaccination, the chance of a (serious) corona infection would go down substantially. […]

Big data - Machine Learning - S-values
02 Jul 2020 - by Peter Grünwald

A Practitioner’s Perspective on Fairness in AI

The use of machine learning models to support decision making can have harmful consequences on individuals, particularly, when such models are used in critical applications in the social domain such as justice, health, education and resource allocation (e.g. welfare). These harms can be caused by different types of biases that can originate at any point […]

Artificial intelligence - FAIR
19 Jun 2020 - by Aysenur Bilgin, Hinda Haned

Estimating Reproducibility of AI Research

There are a number of different ways to refer to reproducibility, in this piece we are actually referring to replicability using the standard ACM definition. It refers to research that reuses the data and/or analysis to hopefully get the same results. To this end, replication is considered to be a cornerstone of wider scientific reproducibility […]

Artificial intelligence - Replicability - Reproducibility
10 Jun 2020 - by Iris Kisjes

Collaborative data analysis using SWISH DataLab

SWISH unites SWI-Prolog and R together behind a web based IDE that resembles Jupyter notebooks. The platform allows multiple data scientists to work on the same data simultaneously while rule sets can be reused and shared between users. This facilitates data scientists to provide more complex data transformation steps to domain experts.  Most pipelines use […]

05 Jun 2020 - by Jan Wielemaker

AI Technology for People

Amsterdam Data Science (ADS) has created a tremendous network in which academia, companies, and the municipality come together in meetups and other events. Furthermore, its newsletter reports news from the community, and ADS seed projects encourage collaboration between research and companies. These are powerful means to build an ecosystem around data science, a field in […]

Artificial intelligence - Collaboration - Ecosystem
08 May 2020 - by Marcel Worring

The Data Studio: Innovating How We Learn and Teach Data Science and AI

The Data Studio, funded by a KNAW Comenius Senior Fellow grant, at the Amsterdam University of Applied Science is innovating education programmes for data scientists. We see this innovation as a key element in meeting the needs of students in the fields of Data Science and AI. The Data Studio Co-creation is the foundation of […]

Artificial intelligence in education - Innovation
16 Apr 2020 - by Nanda Piersma

The Role of Corporates in AI Ecosystems

Perhaps the most important role of international corporations in a regional ecosystem is to attract and retain talent. A number of my top PhD students and postdocs have decided to stay in Amsterdam because of the presence of the international giants, working at, for instance, Google Brain or Qualcomm AI Research. The presence of these […]

Artificial intelligence - Ecosystem
08 Apr 2020 - by Max Welling

The Quest for Hybrid Intelligence

These are just two of the predictions of the type that have flooded the media over the past five years. Besides many (if not all) of them being wildly overoptimistic, they also reveal a hidden (and sometimes not so hidden) assumption underlying much mainstream work in current AI: artificially intelligent machines were going to replace […]

Artificial intelligence - Explainable AI - Hybrid Intelligence
03 Apr 2020 - by Frank van Harmelen