Recent blog posts

Data as a material for fashion: How treating data as a material enables a new future for design

Data as a material for fashion From the measurements used to make garments to the metrics of how fashion is sold and worn, fashion is rich in data. In fashion, this data is often treated using an artistic approach. The size, shape, colour, line, silhouette (how a garment appears on a specific body) are created […]

Complex systems - Data - Fashion
13 Sep 2021 - by Troy Nachtigall

Programming Training for Refugees

After the humanitarian crisis in Syria in 2019, thousands of refugees arrived in the Netherlands fleeing from the war in their home countries. To aid those suffering from this humanitarian crisis, and in an effort to create positive social impact, VodafoneZiggo joined forces with Accenture in June 2020 to provide free training for refugees. How […]

Python - Training - Volunteer
29 Apr 2021 - by Gabriel Lopez

Making the sum greater than the parts – FAIR Data

The difference in datasets Every dataset can be different, not only in terms of content, but in how the data is collected, structured and displayed. For example, how national image archives store and annotate their data is not necessarily how meteorologists store their weather data, nor how forensic experts store information on potential suspects. The […]

Data - FAIR
19 Apr 2021 - by Jaap Heringa

Digital Humanism

The birth of Digital Humanism Since the breakthrough of the World Wide Web in the late 1990’s, technology’s influence on our lives has surged. We are now witnessing how ICT technologies have hit the mainstream. In the public perception this is currently epitomized by (Big) Data Science and AI, but clearly many more Informatics branches […]

Ethics - Humane AI - Society
25 Mar 2021 - by Hans Akkermans

The Discovery Lab: the pearls and perils

A recent European study on University-Business Cooperation (UBC) suggested that joint research can have major benefits. Among those are “innovation with a longer-term horizon, shorter-term problem solving, data for high quality research and the ability to bring research into practice creating impact”. Max Welling explored the necessity of the role of corporates in AI ecosystems […]

Artificial intelligence - Collaboration - Ecosystem
18 Mar 2021 - by Mark Siebert

IoT as an enabler of AI: Revolutionizing fish production

The Internet of Things (IoT) is a hardware/software ecosystem that includes the ‘things’ side, typically composed of network-enabled sensors (light, temperature, distance), which connect and exchange data with actors (motors, servos, heaters, pumps). This technology enables AI by providing a constant stream of real-time or historical data while assuring its quality. This particular process ensures […]

Artificial intelligence - IoT
16 Feb 2021 - by Lukas Winkler

Responsible Artificial Intelligence in Practice

The ECAAI Responsible AI Lab The need for a responsible approach to AI has been recognized worldwide as reflected by the many manifestos and ethical guidelines that have been developed in the last few years [1]. The European Union for example, calls for Trustworthy AI [2] and defines a number of key requirements such as […]

Applied - Artificial intelligence - Responsible
27 Nov 2020 - by Pascal Wiggers

AI for Social Good & Equality of Opportunity

On 25 September 2015 at the annual UN meeting, 193 countries signed an agreement on the 17 Sustainable Development Goals (SDG) and 169 associated targets. These goals aim to move us towards an inclusive, just and sustainable society by 2030. The first goal is to end extreme poverty. Other goals focus on health, education, sustainable […]

Data Science - Equality - Social good
23 Nov 2020 - by Sennay Ghebreab, Hinda Haned, Jacco van Ossenbruggen

Europe needs its own Google!

The pros and cons of the existing Big Tech elite The US and Chinese Big Tech elite deliver us many benefits. Not only have they been a driver of innovation, but also a creator of thousands of jobs. The technology that has come out of these companies has enabled us to stay in touch with […]

Big Tech - Collaboration - Europe
17 Nov 2020 - by Marc Salomon

Why we need the UvA Data Science Centre

Accelerating science through data As scientists and researchers, we are already immersed in what Turing Award winner Jim Gray termed the 4th paradigm: the use of data-intensive techniques to attack the hardest problems in research. This can clearly be seen in how researchers have tackled the many, sometimes unexpected, problems that have arisen from the […]

Data Science - Ecosystem - Research
11 Nov 2020 - by Paul Groth

AI Research with China: to Collaborate or not to Collaborate – is that the Question?

The opinions in this blog item are the author’s own and do not necessarily reflect those of the organisations she represents. Amsterdam has a historically strong connection with Chinese culture, housing one of the oldest Chinatowns in the Netherlands. While our perception of Chinese culture is perhaps based predominantly on its cuisine, we have to […]

China - Collaboration - Research
05 Nov 2020 - by Lynda Hardman

AI & Health in Amsterdam

This is surprising, given that the amount of data collected in the medical domain has been, and still is, increasing at a rapid pace. Of course, the need for a cautious approach, as people’s health is at stake, no doubt plays a role, but there is more to it than that. Challenges in using AI […]

AI - Amsterdam - Health
02 Nov 2020 - by Mark Hoogendoorn, Paul Elbers

Linked Data Innovation for a Smarter Government

Today is Prinsjesdag, the day that the Miljoenennota, the Dutch government’s yearly national budget is published. This budget determines how government funds will be allocated to achieve societal goals in the coming year. The Miljoenennota initiates the budget implementation cycle which consists of various phases: spending, adjusting, auditing and reporting. During this cycle, the Dutch […]

Linked Data - Miljoenennota
15 Sep 2020 - by Wouter Beek

Increasing Data Science and AI Diversity

Amsterdam is home to 180 different nationalities and 45% of the population belong to ethnic minorities [1]. The region is a melting pot of different cultures, bringing together people with different socio-economic backgrounds, religions, (dis-)abilities, sexual preferences, genders, and ages. This diversity is palpable, where one can hear numerous languages on the metro, taste food […]

Diversity - Inclusion
03 Sep 2020 - by Animesh Trivedi

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 - E-values - Machine Learning
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 […]

Collaboration - Data mining
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