Hackathons – Dutch Data Science Week
During Dutch Data Science Week, there are several hackathons where data scientists can apply their skills to solve real societal challenges on topics like reducing energy waste, improving healthcare, and enhance city life.
How to Reduce The Waste of Energy by Disaggregating the Energy Signal – Eneco
Anomaly Detection on 4d Heart Scans – UMC Groningen
We will process cardiovascular MRI and patient data to assist in the formulation of a medical diagnosis. Using deep learning, image segmentation is performed on the MRI data such that metrics can be derived that potentially are predictive indicators for certain diseases and physical conditions. Patient data consists of variables such as age, gender, earlier diagnosis, medicine usage, etc.
In the hackathon, we focus on feature extraction from the segmentation masks and combining those features with patient data. In preparation for the hackathon, we will deliver the segmentation masks (the training of deep models is computationally not feasible for a single day session) and propose several us
Using Image Recognition to Track Urban Developments
Litter, asset management, nuisance reduction and neighborhood developments are among the most important developments to make Amsterdam an even more livable city.
Image recognition has huge potential to steer urban development in the right direction. Did you know that the whole city of Amsterdam is openly available as high-resolution panoramic images? This has inspired some companies to improve their own image recognition tools. The opportunities are endless. In the US for example, researchers have tracked gentrification. In this hackathon, we aim to explore image recognition techniques, in order to track urban developments the city government should respond to. We will focus on four developments.
- Neighborhood developments (gentrification and commercialization)
- Citizen reporting (meldingen)
- Asset management
- Law enforcement (from advertising taxes to hospitality nuisance)
During this two day hackathon, Policy experts from Amsterdam local government will explain these challenges in more detail. We will use open data of the city of Amsterdam and other available open data. We aim to get insights so Amsterdam can grow to become a more responsive city. Image recognition is used to spot what the local government should do to make Amsterdam’s residents happier.