In authors or contributors

Integrating modelling and smart sensors for environmental and human health

Resource type
Authors/contributors
Title
Integrating modelling and smart sensors for environmental and human health
Abstract
Sensors are becoming ubiquitous in everyday life, generating data at an unprecedented rate and scale. However, models that assess impacts of human activities on environmental and human health, have typically been developed in contexts where data scarcity is the norm. Models are essential tools to understand processes, identify relationships, associations and causality, formalize stakeholder mental models, and to quantify the effects of prevention and interventions. They can help to explain data, as well as inform the deployment and location of sensors by identifying hotspots and areas of interest where data collection may achieve the best results. We identify a paradigm shift in how the integration of models and sensors can contribute to harnessing ‘Big Data’ and, more importantly, make the vital step from ‘Big Data’ to ‘Big Information’. In this paper, we illustrate current developments and identify key research needs using human and environmental health challenges as an example.
Publication
Environmental Modelling & Software
Volume
74
Pages
238-246
Date
December 1, 2015
Journal Abbr
Environmental Modelling & Software
ISSN
1364-8152
Accessed
03/05/2019, 22:16
Library Catalogue
ScienceDirect
Citation
Reis, S., Seto, E., Northcross, A., Quinn, N. W. T., Convertino, M., Jones, R. L., Maier, H. R., Schlink, U., Steinle, S., Vieno, M., & Wimberly, M. C. (2015). Integrating modelling and smart sensors for environmental and human health. Environmental Modelling & Software, 74, 238–246. https://doi.org/10.1016/j.envsoft.2015.06.003