3rd Internet of Things Day Rotterdam

Woensdag 9 april vanaf 09.00 uur, De Gouvernestraat, Gouvernestraat 133, Rotterdam

Event Details

“Enrich the experience of the city in an application for a personal wearable device that contributes to and interact with (Rotterdam) Open Data.”

For the last couple of years we’ve seen more and more devices pop up with the ability to connect to the Internet, either directly, or tethered via your phone such as the Pebble Watch or Google Glass. This connectivity, combined with a myriad of sensor technologies in our devices, allows us to gather and recombine data in new and exiting ways. Moreover, technologies such as Google Glass allow us to map this data on a ‘layer’ between the user and its environment.

Another recent development, also entangled in the complex networks of present day connectivity, is the emergence of open data. Data in the public domain virtually allows anyone to experiment with the data to gain new insights or develop new applications and services.

The developments in the Internet of Things and Open Data pave the way towards new semi-autonomous services, focussing on relevancy and realtime interactions within the user’s context. Although most of the time, the data flows from the service to the user in order to provide relevant actions and information, another way of approaching the design of these services is by inverting a part of the traditional data flow. Imagine a personal wearable device which returns implicitly or explicitly gathered user data to the public data domain, through which we might gain additional insights into social or practical problems. Additionally, the service might be able to use this reciprocal exchange of data to further increase the relevancy of the service.

The challenge

In short, the challenge for this Hackathon consists of the development of a ‘Personal API’, where, instead of developing a service based on data in the open domain, the service adds data to the open domain. This Personal API can, in turn, be used in other applications and services. Think of it as a “data of the crowds”.

For example, propellerhealth.com offers a small device which can be attached to an inhaler. When the inhaler is user the Propeller device sends time and location data to their servers. The service then determines the areas with an increased risk on asthma attacks, based on the data collected through the implicit use of an inhaler.

More info:

http://dataofthecrowds.nl/  or   http://iotrotterdam.eu/