Machine learning and algorithmic fairness in public and population health
Until now, much of the work on machine learning and health has focused on processes
inside the hospital or clinic. However, this represents only a narrow set of tasks and …
inside the hospital or clinic. However, this represents only a narrow set of tasks and …
Participatory research for environmental justice: a critical interpretive synthesis
LF Davis, MD Ramírez-Andreotta - Environmental health …, 2021 - ehp.niehs.nih.gov
Background: Environmental health risks are disproportionately colocated with communities
in poverty and communities of color. In some cases, participatory research projects have …
in poverty and communities of color. In some cases, participatory research projects have …
Variations in the motivations of environmental citizen scientists
SE West, RM Pateman, A Dyke - Citizen Science: Theory …, 2021 - eprints.whiterose.ac.uk
Understanding motivations is important because appealing to and fulfilling motivations helps
citizen science projects recruit and retain participants. We summarise the literature around …
citizen science projects recruit and retain participants. We summarise the literature around …
The science of citizen science: A systematic literature review on educational and scientific outcomes
L Finger, V van den Bogaert, L Schmidt… - Frontiers in …, 2023 - frontiersin.org
Citizen Science is an ever-growing field of public engagement with science, and recent
years have seen an increasing number of studies examining its potential. This study reviews …
years have seen an increasing number of studies examining its potential. This study reviews …
[HTML][HTML] Engaging diverse citizen scientists for environmental health: recommendations from participants and promotoras
LF Davis, MD Ramírez-Andreotta, SR Buxner - 2020 - theoryandpractice …
Environmental health citizen science (CS) offers a strategy for historically disenfranchised
community members to inform research questions, collect and analyze data, and draw …
community members to inform research questions, collect and analyze data, and draw …
From goals to engagement—evaluating citizen science project descriptions as science communication texts
YN Golumbic, M Oesterheld - Frontiers in Environmental Science, 2023 - frontiersin.org
Introduction: Attracting and recruiting volunteers is a key aspect of managing a citizen
science initiative. Science communication plays a central role in this process. In this context …
science initiative. Science communication plays a central role in this process. In this context …
Arsenic in drinking water and diabetes
Arsenic is ubiquitous in soil and water environments and is consistently at the top of the
Agency for Toxic Substances Disease Registry (ATSDR) substance priority list. It has been …
Agency for Toxic Substances Disease Registry (ATSDR) substance priority list. It has been …
Exploring the potential risk of heavy metal pollution of edible cultivated plants in urban gardening contexts using a citizen science approach in the project “heavy metal …
E Ziss, W Friesl-Hanl, S Götzinger, C Noller… - Sustainability, 2021 - mdpi.com
Urban gardening has become increasingly popular, creating green oases in cities; however,
many of these activities are undertaken in areas of high traffic density or on ex-brown field …
many of these activities are undertaken in areas of high traffic density or on ex-brown field …
Backyard aerosol pollution monitors: Foliar surfaces, dust enrichment, and factors influencing foliar retention
K Zeider, I Manjón, EA Betterton, AE Sáez… - Environmental …, 2023 - Springer
Air pollution is one of the leading causes of death from noncommunicable diseases globally,
and in Arizona, both mining activities and abandoned agriculture can generate erodible …
and in Arizona, both mining activities and abandoned agriculture can generate erodible …
[HTML][HTML] The AirSensor open-source R-package and DataViewer web application for interpreting community data collected by low-cost sensor networks
B Feenstra, A Collier-Oxandale, V Papapostolou… - … Modelling & Software, 2020 - Elsevier
While large-scale low-cost sensor networks are now recording air pollutant concentrations at
finer spatial and temporal scales than previously measured, the large environmental data …
finer spatial and temporal scales than previously measured, the large environmental data …