About the PULSE project

Project objectives

PULSE will engage in a collaborative dialogue with a range of stakeholders across five global cities to transform public health from a reactive to a predictive system focused on both risk and resilience. In order to achieve this, the operation objectives are:

  • To develop multiscale models designed to integrate diverse data, identify and share new knowledge, uncover mechanisms, and make predictions about intervention effects.
  • To develop of the PULSE integrated data ecosystem based on mobile devices (smart phones), sensor systems (remote sensing, including satellites and Unmanned Aerial Vehicles [UAVs]; fixed and mobile sensors) to enable large scale collection of citizen data within the smart city environment.
  • To develop new approaches to data mining for public health outcomes.
  • To develop advanced models for the detection of risks associated with the onset of Asthma and T2D
  • To develop a population-based algorithm to detect well-being across our test bed cities
  • To develop a generalizable framework for delivering digital interventions in the context of urban public health, addressing existing and emerging risks and threats, and building resilience at the individual and community level
  • To design and build of a large-scale data management system enabling real time analytics of flows of personal data in a trusted cloud.
  • To develop a policy-making across the domains of health, environment, transport, planning in the PULSE test bed cities,
  • To develop a proof-of-concept of the PULSE Risk and Resilience models within five global cities (300 citizens-users of PULSE apps/game in each test bed; 1500 in total)
  • To define a suite of sustainable and generalizable multiscale models for detecting public health risks related to Asthma and T2D, and intervening to mitigate these risks, minimize health inequities, and improve population health

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No GA727816.

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