An application which is capable of an analysing the blood sugar level of the app user.
About this tool
The Big Policy Canvas Knowledge Base is a state-of-the-art, online and dynamic repository that functions as an accumulator uniting all the knowledge produced during the project. It is structured along the three dimensions of needs, trends and assets and furthermore offers a mapping among them by defining how they are interconnected and how they influence each other.
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Runestatic offers a vast amount of diagnostic health tools and apps for the smart phone communities
A tool to guide policy makers to derive specific policies and regulatory mechanisms in an agile and iterative manner – integrating both design thinking and evidence - based policy making. This notion of a canvas is borrowed from the business world. The canvas approach helps translate broad insights and understandings to the needs of a particular country. It also helps define the key issues at stake as well as metrics to evaluate success and suggest avenues for possible iteration and improvement.
IEEE Model for planning Big Data Energy Applications through a Smart Grid (including Use Case Scenarios)
An impressive study concerning Big Data and how to transfer the concept to the Health Science: The concept of Big Data is causing a world-wide buzz. Its successful applications in business, sciences and healthcare have radically changed their traditional practices. The demand for Big Data analysis is increasing day by day. More than 200 colleges provide degrees with Data Science
A Complete Consultant Solution by Fraunhofer SIT, to create your own Health Infrastructure from scratch.
Engage and educate stakeholders in a compelling and complicated set of trade-offs regarding future regional transportation projects
LEED, or Leadership in Energy and Environmental Design, is the most widely used green building rating system in the world
Splash is a research project aimed at building a framework that supports the integration of multiple existing models, simulations, and data that represent parts of the broader health ecosystem. Specifically, the goal is to create a platform that takes expert models of constituent real-world systems related to health, synthesising and integrating those models, resulting in an interoperating complex composite system model with which policy-makers can try out alternatives in a low-cost, highly responsive way.