Currently, we find ourselves in a paradigm in which we believe that accepting climate change data will lead to a kind of automatic action toward the preservation of our environment. I have argued elsewhere (Fried 2020) that this lack of civic action on climate data is significant when placed in the historical, military context of the technologies that collect this data––Earth remote sensing technologies. However, I have not yet discussed the phenomenological or moral implications of this context, which are deeply (...) interconnected. In this paper, I assert that Earth remote sensing technologies can, if we are not careful, lead us to a kind of environmental deskilling. This assertion comes in four parts. First, the military context of Earth remote sensing technologies––which collect important data on climate change––acts as a kind of stability, as defined by Don Ihde and others. Second, I invoke Sir Patrick Heelan to argue that the theoretical underpinnings of Earth systems science do not translate from military to environmental praxes as we imagine they do. Third, Hannah Arendt makes the case that a state’s trust in simplifying narratives like that of climate data, meant to create “islands” of certainty in an uncertain world, can be self-defeating. That is to say, they can silence public action. I extend these arguments through Vallor’s analysis of moral deskilling, in which she points out that an overemphasis on autonomous data collection––and trust in a kind of automated decision-making on that data––can deskill us from important questions relevant to our collective flourishing. In all of these examples, the lines between environmental and military research are blurry. (shrink)

Currently, we find ourselves in a paradigm in which we believe that accepting climate change data will lead to a kind of automatic action toward the preservation of our environment. I have argued elsewhere (Fried 2020) that this lack of civic action on climate data is significant when placed in the historical, military context of the technologies that collect this data––Earth remote sensing technologies. However, I have not yet discussed the phenomenological or moral implications of this context, which are deeply (...) interconnected. In this paper, I assert that Earth remote sensing technologies can, if we are not careful, lead us to a kind of environmental deskilling. This assertion comes in four parts. First, the military context of Earth remote sensing technologies––which collect important data on climate change––acts as a kind of stability, as defined by Don Ihde and others. Second, I invoke Sir Patrick Heelan to argue that the theoretical underpinnings of Earth systems science do not translate from military to environmental praxes as we imagine they do. Third, Hannah Arendt makes the case that a state’s trust in simplifying narratives like that of climate data, meant to create “islands” of certainty in an uncertain world, can be self-defeating. That is to say, they can silence public action. I extend these arguments through Vallor’s analysis of moral deskilling, in which she points out that an overemphasis on autonomous data collection––and trust in a kind of automated decision-making on that data––can deskill us from important questions relevant to our collective flourishing. In all of these examples, the lines between environmental and military research are blurry. (shrink)

Various authors have recently expressed doubts about the public relevance of philosophy. These doubts target both academic philosophy in general and particular subfields of philosophy. This paper investigates whether these doubts are justified through two tests in which the lack of public relevance of a philosophical paper is operationalized as the degree to which that paper is isolated. Both tests suggest that academic philosophy in general is more isolated from the broader public than it should be, and confirm the hypothesis (...) that some subfields of philosophy are more isolated than others. We argue that this lack of public relevance is caused by the incentive structure of academic philosophy and discuss a range of individual-level and incentive-level solutions. (shrink)