Search

From Tu (2020): "In Taiwan, the community air-monitoring projects often have difficulties in identifying the specific pollution sources due to the historical patterns of industrial development that tend to set up dense clusters of different factories in the industrial parks along the west coast (Liu 2012).3 The agglomeration of polluting facilities complicates pollution identification that further creates significant knowledge gaps between the predicted emission, the actual emission, and the community sensory experiences throughout the policy process. This pattern of development has somehow constrained Taiwan community air monitoring to target the specific polluters."

"Instead of treating data as independent sources, we should be asking, Where do data direct us, and who might help us understand their origins as well as their sites of potential impact? The implications of these questions are threefold. For practitioners who want to work with data, understanding local conditions can dispel the dangerous illusion that any data offer what science and technology studies scholar Donna Haraway calls “the view from nowhere.”For students and scholars, attention to the local offers an opportunity to compare diverse cultures through the data that they make or use. Finally, local perspectives on data can awaken new forms of social advocacy. For wherever data are used, local communities of producers, users, and even nonusers are affected." (p. 3)