Browsing by Author "Lotterman, Charles"

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    The Power of the Personal: Science and Society in Postsocialist Czech Republic
    (2023-04-17) Lotterman, Charles; Georges, Eugenia; Ballestero, Andrea
    My dissertation centers around themes of trust and truth within the context of Czech science in order to, ultimately, join literature on the relation between liberalism, individualism, and empiricism. By depicting the ways that personal experiences figure into the production of scientific facts for my interlocutors, it shows how, in contrast with the normative ideal, conceptions of scientific objectivity can be constructed from appeals to subjectivity. Importantly, I ground my findings squarely within the anthropology of science, a literature that recognizes scientists and scientific inquiry as contingently and reciprocally swept up in social currents – in this case, those of a post-socialist, nascent liberal society. In doing so, my project offers a unique vantage toward Central Europe, a region that lays complexly within multiple junctures. I rewrite the narrative of the region, drawing strange parallels between socialist-era dissidents’ hopeful appeals for “living in truth,” and contemporary illiberal populists’ angry renunciation of expertise, for example. Locating my ethnographic findings within such contexts, my dissertation argues that liberalism’s multiple and conflicting meanings, from the agreement of a social contract to the celebration of liberty and the marketplace of ideas, blasts open space for a far greater range of practices than has been traditionally appreciated.
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    Trust and privacy in the context of user-generated health data
    (Sage, 2017) Ostherr, Kirsten; Borodina, Svetlana; Bracken, Rachel Conrad; Lotterman, Charles; Storer, Eliot; Williams, Brandon
    This study identifies and explores evolving concepts of trust and privacy in the context of user-generated health data. We define “user-generated health data” as data captured through devices or software (whether purpose built or commercially available) and used outside of traditional clinical settings for tracking personal health data. The investigators conducted qualitative research through semistructured interviews (n = 32) with researchers, health technology start-up companies, and members of the general public to inquire why and how they interact with and understand the value of user-generated health data. We found significant results concerning new attitudes toward trust, privacy, and sharing of health data outside of clinical settings that conflict with regulations governing health data within clinical settings. Members of the general public expressed little concern about sharing health data with the companies that sold the devices or apps they used, and indicated that they rarely read the “terms and conditions” detailing how their data may be exploited by the company or third-party affiliates before consenting to them. In contrast, interviews with researchers revealed significant resistance among potential research participants to sharing their user-generated health data for purposes of scientific study. The widespread rhetoric of personalization and social sharing in “user-generated culture” appears to facilitate an understanding of user-generated health data that deemphasizes the risk of exploitation in favor of loosely defined benefits to individual and social well-being. We recommend clarification and greater transparency of regulations governing data sharing related to health.