The technology behind weave.ly originates from an Innovris Anticipate project. This project resulted in the creation of DISCOPAR, an accessible visual programming language which enables citizens to set up their own so-called “citizen observatories” to collect, process, analyze and evaluate specific types of data.
During this project, the technology was deployed to gather data and map mobility parameters on pedestrians in the Brussels Capital Region.
FLAMENCO, the successor to DISCOPAR, was a platform developed during a project funded by Agentschap Innoveren & Ondernemen (predecessor of VLAIO) and that aimed to deliver an open cloud-based software platform, designed for citizens to create and participate in citizen science campaigns.
To confront major challenges of today, our society requires fundamental transitions in the way we deal with energy, buildings, mobility, environment and health. The FLAMENCO project was the first step to unlock the potential for collecting enormous volumes of highly localised, person-centric data, which can support policy makers to assess urban processes in a way that was hitherto impossible.
During the 4 years of FLAMENCO, the platform was deployed at various partners of the user committee (i.e. Mobiel21, Fietserbond, Gents Milieufront, VITO)
Despite earlier projects’ focus on the domain of citizen science, the underlying technology can be generalized into a cloud-based software component toolbox for assembling real-time data acquisition, processing, and analysis platforms for various domains.
Rather than implementing the complexity of such systems from scratch time and time again, weave.ly allows a more systematic component-oriented approach. In the current era where data drives society and many businesses, there is an evergrowing demand of cutting-edge data acquisition systems. As such, it is our goal to deploy our technology in new opportunities such e-health, smart cities, Internet of Things, business intelligence, etc.