Search

Data2Action

About

IoT solution to monitor and predict air pollution-related diseases

Data2Action, in partnership with UNICEF, addresses global air pollution through an innovative IoT-based monitoring system launched in Mongolia. This real-time, crowdsourced ecosystem utilises low-cost sensors, IoT, and AI for precise pollution exposure measurement. The system provides visualisation tools for officials, allowing instantaneous air quality monitoring, and employs AI to predict pollution-related diseases, aiding proactive health resource allocation. As this project expands from Mongolia to India and Sri Lanka, its goal remains to enhance public health systems worldwide and mitigate air pollution's health impacts.

Graduates

  • Shahan Salim

    Shahan Salim

    University of Waterloo

    Shahan is a PhD candidate at the School of Public Health Science, specializes in digital epidemiology, harnessing technology to combat pressing public health issues stemming from climate change. His research revolves around using cost-effective technologies and artificial intelligence to address critical public health challenges arising from climate change. Shahan has always had a burning desire to change the world and bring a positive change to people's lives, especially those living in underserved communities. In collaboration with UNICEF in Mongolia, he actively engages in initiatives employing low-cost air quality sensors to monitor and predict adverse outcomes related to air pollution exposure in underserved communities. Shahan is the recipient of the NSERC scholarship and will serve as a 2023 COP observer representing the University of Waterloo. more

    LinkedIn
  • Arlene Oetomo

    Arlene Oetomo

    University of Waterloo

    Arlene Oetomo is a climate change and public health researcher leveraging smart home technologies, including smart thermostats, to monitor indoor temperatures. Her work assesses the impacts of extreme heat events, such as heat waves, particularly in underserved communities. Arlene is exploring the applications of generative AI for public health. She aims to combat infodemics and extreme weather events, contributing to more resilient communities. Passionate about advocating for climate justice, Arlene is committed to ensuring everyone has equitable access to safe spaces. She is a two-time Natural Sciences and Engineering Research Council of Canada scholar and a VERGE 2023 Emerging Leader. more

    Portfolio
  • Irfhana Zakir Hussain

    Irfhana Zakir Hussain

    University of Waterloo

    Irfhana Zakir Hussain is a global citizen with a persistent drive to enact change. She knows that the real-life impact of global health and IoT technology is immeasurable and believes that it is the responsibility of those with the skill and willpower to ensure that such ventures ethically and positively shape the world. After completing her B.Tech in Computer Science and Engineering, Big Data Analytics, Irfhana is now pursuing a PhD in Public Health Sciences at the University of Waterloo, where she contributes to various initiatives as an AI for Public Health researcher. more

    LinkedIn
  • Luka Ugaya Mazza

    Luka Ugaya Mazza

    Luka has a MSc in Information Design Systems by the Federal University of Parana, Brazil, and a MSc in Public Health and Health Systems by the University of Waterloo, Canada. They currently work with using data visualizations as knowlege transaltion tools for the healthcare field. Their interests lie in using Information Design to bridge the gap in communication between healthcare systems and the general public. more

    LinkedIn
  • Plinio P. Morita

    Plinio P. Morita

    University of Waterloo

    is an Assistant Professor at the University of Waterloo and the Director of the Ubiquitous Health Technology Lab (UbiLab). The UbiLab focuses on developing systemic approaches to health data integration, leveraging mHealth and IoT for public health surveillance. As the J.W. Graham Information Technology Emerging Leader Chair in Applied Health Informatics, Dr. Morita has focused his research program on the development of platforms and data ecosystems for leveraging crowdsourced data (i.e., data already collected by sensors) from mobile health, wearables, and IoT (Internet of Things) devices to support public health initiatives, public health surveillance, and environmental monitoring.more

    LinkedIn

Discover the Project


Similiar Projects

AlgaeWave

AlgaeWave

Bio-engineering

Imperial College London

Revolutionising biomass production by turning noise into growth

Algreen

Algreen

Alternative materials

Imperial College London

Bio-based polyurethanes to replace harmful petrol-plastics

B-BLOCK

B-BLOCK

Bio-engineering

Universitas Pelita Harapan

Mycelium blocks for temporary architecture solutions and prototyping

BactAir

BactAir

Bio-engineering

Universidad Autónoma de Nuevo León

Bioengineering solution to detect and degrade air pollution