The International Workshop on Environmental Health and Air Pollution (IWEHAP 2018) aims to discuss methods, opportunities, and challenges in linking air pollution spatiotemporal characteristics with public health outcomes by applying state-of-art methods such as machine learning, statistical data m…
The International Workshop on Environmental Health and Air Pollution (IWEHAP 2018) aims to discuss methods, opportunities, and challenges in linking air pollution spatiotemporal characteristics with public health outcomes by applying state-of-art methods such as machine learning, statistical data modeling, and big data analysis. The workshop plans to focus on the development of theories, methods, and practices in this interdisciplinary research. All submissions enabling cross-pollination of ideas on big data, machine learning, spatiotemporal analysis, sensor network, statistical modeling, visualization, exposure analysis, public health and air pollution are welcome.