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At blockchain, IoT, and data science are interesting technologies, it's no news. The proof that they are also applicable in healthcare and mobility was demonstrated by 19 students during the presentations of the Q1-2 2018 results from the ICT Lab Utrecht last Monday.
Vaccination registration with Blockchain
The vaccination booklet, where traveler vaccinations are recorded, is in need of a revamp. There is currently no control over the data being recorded, leading to a fragmented approach, incorrect registrations, and susceptibility to fraud. Additionally, losing the booklet can cause significant issues.
If the vaccination booklet were to be digitized, the composition of recorded data could be monitored. 
Digitization also provides opportunities to register and authorize users of the booklet. Blockchain offers the added value that no central party needs to be trusted to safeguard and modify the data.
Ana, Joris, Karim, Lex, and Timo explored possibilities for digitizing the vaccination booklet using blockchain. The results of their demo, which they presented live on Monday, are so promising that from September onwards, they will dedicate six months to building a working and tested application.
Big Data in healthcare
There is a wealth of open data available on healthcare costs, but can it actually be utilized? 
One would think the more data, the better, but the usability of data heavily relies on the interoperability.
Bram, Christiaan, Koshin, Steven, and Thijs investigated how healthcare data can be used to identify so-called hotspots. They condensed a large amount of data into a dataset that linked various data points. They then reduced this 'Swiss cheese' of data into a nicely filled Excel sheet where a large number of indicators per municipality are compared. This data was used to test the usability of models by applying different machine-learning approaches.
Smart vigilance zone
There are few countries in the world where, like in the Netherlands, most bike locks are worth more than the bike itself. Despite these sturdy chain locks, the Netherlands faces a bike theft problem. An estimated 450,000 bikes are stolen annually. The municipality of Utrecht is now exploring whether IoT combined with RFID tags can be used to reduce bike theft. The concept works as follows: two RFID tags are mounted on the bike and one RFID tag on the keychain. A UHF-RFID reader is placed at a bike shed, similar to the gates at train stations but with higher power. 
When a person parks their bike, the reader registers the three RFID tags. After parking the bike, two transmitters (on the bike) remain, and one transmitter (on the keychain) leaves the zone. The system then registers this as a person locking their bike and walking away. This data is then sent to the cloud via the LoRa network. If the two transmitters leave the zone without the third one, it is an indication that the bike is being stolen. However, there are still many questions about this concept. What is the range of the UHF-RFID reader? And is LoRa a suitable technology to transmit the data? How can RFID tags be best attached to the bike? What are possible interference factors for reading the RFID tags?
To answer these questions, Anton, Armand, Leon, and Wessel set up a test environment at Hooghiemstraplein in Utrecht.
VRIs and cycling data
Bike loops laid on the road are used to communicate with traffic lights: when a cyclist crosses them, the traffic light 'knows' to turn green. A nice side effect is that these loops can be used to count the number of cyclists passing by. 
However, this counting is not always accurate, as some cyclists are missed. How can these loops be calibrated to measure accurately?
Daan, Jawad, Rami, Steven, and Younes examined patterns in VRI data of cyclists in the Utrecht city center. They found that certain differences in loop counts are a good predictor of 'busyness' (bike traffic jams and congestion). This way, calibration of loops for measuring the effects of certain infrastructure changes is not immediately necessary.