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There are 3 Results with the keyword : "open data"

Cities, IoT and Analytics

Ambientic - Bootstrap your user base with GoFlow’s community crowdsourcing platform

Start-up Inria - San Francisco -

GoFlow is a two-way crowdsourcing platform that provides private and public data stores to help communities of apps leverage their’ user base to bootstrap their individual service. GoFlow lets you collect custom data from your mobile users, and also allows your mobile users to directly exchange with others nearby when they require real-time information. Crowdsourced data can be processed and filtered in the backend with your custom code to deliver the information you need for your services or products.


Home > Centre > Paris > Innovation > RII Smart City & Mobility Innovations > Startups and SMEs > Ambientic - GoFlow la 1ère plate forme de crowdsourcing communautaire : mutualisation utilisateurs et services professionnels


© CC - Marcelo Alves

Open science

Café scientifique: Open Science


What if Open Science was a new science? Monday, April 14 at 6:30 p.m., at Plateau Inria of EuraTechnologies, will be a café scientifique about the concept of Open Science. It will gather about thirty members of the subject. The goal? Debate and discuss about this movement which is becoming increasingly important.


Home > Centre > Lille > News > Café scientifique : autour de l’Open Science


Power transition

Modeling for Sustainability

Diverse project-team (Inria Rennes - Bretagne Atlantique) -

We present an approach to develop smart cyber physical systems in charge of managing the production, distribution and consumption of energies (e.g., water, electricity). The main objective is to enable a broader engagement of society, while supporting a more informed decision-making, possibly automatically, on the development and run-time adaptation of sustainability systems (e.g., smart grid, home automation, smart cities).
We illustrate this approach through a system that allows farmers to simulate and optimize their water consumption by combining the model of a farming system together with agronomical models (e.g., vegetable and animal lifecycle) and open data (e.g., climate series).
To do so, we use Model Driven Engineering (MDE) and Domain Specific Languages (DSL) to develop such systems driven by scientific models that define the context (e.g., environment, social and economy) , and model experiencing environments to engage general public and policy makers.


Home > Centre > Saclay > Innovation > RII Power transition > Demos > Modélisation pour l'économie d'énergie