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The Utrecht housing dataset – example dataset for prediction

The Utrecht housing dataset is a freely available dataset that can be used by students to learn about data science and machine learning. It is a synthetic dataset that was derived from actual data about the Dutch hoursing market. Since it is synthetic, it containt no noise, high qulaity data and comes in three different…

Sieuwert van Otterloo

Compliance for AI in healthcare companies: your help needed!

Yasmine Yachou, an MSc student at the Vrije Universiteit Amsterdam, is conducting research into the impact of data laws on healthcare startups and scale-ups. If you work at a AI and healthcare company, please help by participating in the survey for this research.

Sieuwert van Otterloo

Practical bias correction in neural networks: A credit default prediction case study

Snel, P. and van Otterloo, S. 2022. Practical bias correction in neural networks: A credit default prediction case study, Computers and Society Research Journal (2022), 3 https://doi.org/10.54822/BEWO3288 Piet Snel and Sieuwert van Otterloo Email: sieuwert@ictinstitute.nl Article published online 11 May 2022. Abstract Artificial intelligence (AI) is increasingly being used for decision-making. Technological developments have significantly…

Sieuwert van Otterloo

Computers and Society Research Conference – 20th May 2022

We are pleased to announce the Computers and Society Research Conference. The conference is an informal get-together for colleagues and friends, and an opportunity for our students to show off their research. The conference will take place 14.00-17.00 on 20th May 2022, on the Dotslash Campus, Europalaan 100, Utrecht.

Suzanne Atkins

Using AI to count all the solar panels in the world

One photovoltaic solar energy generating unit, two photovoltaic solar energy generating units… Solar power generation is one option for decarbonising electricity production. However, if we don’t know how many solar panels there are in the world and where they are, we’re missing a piece of information about how well we are doing with with regard…

Suzanne Atkins