Environmental degradation is not experienced by all populations equally; hazardous and toxic waste sites, resource contamination (e.g., exposure to pesticides), air pollution, and numerous other forms of environmental degradation disproportionately affect low income and minority communities. The communities most affected by environmental injustices are often the same communities where social workers are entrenched in service provision at the individual, family, and community level. In this article, we use a global social work paradigm to describe practical ways in which environmental justice content can be infused in the training and education of social workers across contexts in order to prepare professionals with the skills to respond to ever-increasing global environmental degradation. We discuss ways for social work educators to integrate and frame environmental concerns and their consequences for vulnerable populations using existing social work models and perspectives to improve the social work profession's ability to respond to environmental injustices. There are significant social work implications; social workers need to adapt and respond to contexts that shape our practice, including environmental concerns that impact the vulnerable and oppressed populations that we serve.

Ambient air pollution is a well-known risk factor of various asthma-related outcomes, however, past research has often focused on acute exacerbations rather than asthma development. This study draws on a population-based, multigenerational panel dataset from the United States to assess the association of childhood asthma risk with census block-level, annual-average air pollution exposure measured during the prenatal and early postnatal periods, as well as effect modification by neighborhood poverty. Findings suggest that early-life exposures to nitrogen dioxide (NO₂), a marker of traffic-related pollution, and fine particulate matter (PM_2.5), a mixture of industrial and other pollutants, are positively associated with subsequent childhood asthma diagnosis (OR = 1.25, 95% CI = 1.10–1.41 and OR = 1.25, 95% CI = 1.06–1.46, respectively, per interquartile range (IQR) increase in each pollutant (NO₂ IQR = 8.51 ppb and PM_2.5 IQR = 4.43 µ/m³)). These effects are modified by early-life neighborhood poverty exposure, with no or weaker effects in moderate- and low- (versus high-) poverty areas. This work underscores the importance of a holistic, developmental approach to elucidating the interplay of social and environmental contexts that may create conditions for racial-ethnic and socioeconomic disparities in childhood asthma risk.

A Geographic Information System (GIS) is a digital technology that integrates hardware and software to analyze, store, and map spatial data. GIS allows users to visualize (i.e., map) geographic aspects of data including locations or spatial concentrations of phenomena of interest. Though public health and other social work related fields have embraced the use of GIS technology in research, social work lags behind. Recent technological advancements in the field of GIS have transformed what was once prohibitively expensive, “experts only” desktop software into a viable method for researchers with little prior GIS knowledge. Further, humanist and participatory geographers have developed critical, non-quantitative GIS approaches that bring to light new opportunities relevant to social workers. These tools could have particular utility for qualitative social workers because they can help us better understand the environmental context in which our clients reside and give credence to their assessments of strengths, weaknesses, and opportunities for intervention. This article provides an introductory overview of the history of GIS in social work research and describes opportunities to use spatially informed approaches in qualitative social work research using a case study of a participatory photo mapping research study.