Thesis advisor: Natalia Sarkisian / The recent proliferation of technologies to collect and analyze “Big Data” has changed the research landscape, making it easier for some to use unprecedented amounts of real-time data to guide decisions and build ‘knowledge.’ In the three articles of this dissertation, I examine what these changes reveal about the nature of expertise and the position of the researcher. In the first article, “Monopoly or Generosity? ‘Rock Stars’ of Big Data, Data Democrats, and the Role of Technologies in Systems of Expertise,” I challenge the claims of recent scholarship, which frames the monopoly of experts and the spread of systems of expertise as opposing forces. I analyze video recordings (N= 30) of the proceedings of two professional conferences about Big Data Analytics (BDA), and I identify distinct orientations towards BDA practice among presenters: (1) those who argue that BDA should be conducted by highly specialized “Rock Star” data experts, and (2) those who argue that access to BDA should be “democratized” to non-experts through the use of automated technology. While the “data democrats” ague that automating technology enhances the spread of the system of BDA expertise, they ignore the ways that it also enhances, and hides, the monopoly of the experts who designed the technology. In addition to its implications for practitioners of BDA, this work contributes to the sociology of expertise by demonstrating the importance of focusing on both monopoly and generosity in order to study power in systems of expertise, particularly those relying extensively on technology. Scholars have discussed several ways that the position of the researcher affects the production of knowledge. In “Distance Makes the Scholar Grow Fonder? The Relationship Between Analytical Distance and Critical Reflection on Methods in Big Data Analytics,” I pinpoint two types of researcher “distance” that have already been explored in the literature (experiential and interactional), and I identify a third type of distance—analytical distance—that has not been examined so far. Based on an empirical analysis of 113 articles that utilize Twitter data, I find that the analytical distance that authors maintain from the coding process is related to whether the authors include explicit critical reflections about their research in the article. Namely, articles in which the authors automate the coding process are significantly less likely to reflect on the reliability or validity of the study, even after controlling for factors such as article length and author’s discipline. These findings have implications for numerous research settings, from studies conducted by a team of scholars who delegate analytic tasks, to “big data” or “e-science” research that automates parts of the analytic process. Individuals who engage in self-tracking—collecting data about themselves or aspects of their lives for their own purposes—occupy a unique position as both researcher and subject. In the sociology of knowledge, previous research suggests that low experiential distance between researcher and subject can lead to more nuanced interpretations but also blind the researcher to his or her underlying assumptions. However, these prior studies of distance fail to explore what happens when the boundary between researcher and subject collapses in “N of one” studies. In “The Collapse of Experiential Distance and the Inescapable Ambiguity of Quantifying Selves,” I borrow from art and literary theories of grotesquerie—another instance of the collapse of boundaries—to examine the collapse of boundaries in self-tracking. Based on empirical analyses of video testimonies (N=102) and interviews (N=7) with members of the Quantified Self community of self-trackers, I find that ambiguity and multiplicity are integral facets of these data practices. I discuss the implications of these findings for the sociological study of researcher distance, and also the practical implications for the neoliberal turn that assigns responsibility to individuals to collect, analyze, and make the best use of personal data. / Thesis (PhD) — Boston College, 2015. / Submitted to: Boston College. Graduate School of Arts and Sciences. / Discipline: Sociology.

'Wearables' and 'self-quantifying technologies' are becoming ever more popular and normalised in society as a means of 'knowing' the self. How are these technologies implicated in this endeavour? Using insights from a four year multi-sited ethnography of the 'Quantified Self', I explore how the self is 'done' in the context of using technologies that purport to quantify the self in some way. Drawing on Science and Technology Studies (STS) sensibilities, I conduct a four- pronged investigation into 'self-making' by drawing upon, and expanding, existing theories of agency and performativity, number, data-visualisation, and enactment. I find that self-quantifying technologies are productive in the doing of the self and are implicated in the process of making boundaries around that which comes to be known as the 'self' in a particular moment. The numbers and visualisations that result from practices of self-quantification enable a new way of 'seeing' the self, and provide a way of communicating this self with others. The self is thus not a pre-existing entity that simply requires these technologies as a means to 'know' it. Rather, the self is constantly being done with these technologies and within the surrounding practices of self-quantification. In order to highlight the different parts of this process, I proffer the term 'entractment'. This term explains how these different elements come together to culminate in the production of a momentarily constant self in a particular context. It is a way of simultaneously encapsulating the processes of intra-action, extra-action and enactment with/in a community. In sum, it captures the conclusion that, in the context of self-quantification, we must understand the self as a collective enactment, achieved, at least in part, through the use of self-quantifying technologies that produce numerical data which facilitate visualisations that are imperative to the doing of the self.

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Wearable technologies are creating new ways for people to discover and record personal data. While these devices are raising awareness about biometric information, there is a larger quantified self movement encompassing any type of personal data collected by any means and recorded and shared in a variety of ways. Participants in this movement are experimenting with new ways to view and interact with their generated digital information. On a societal level, as we collect more data (personal or otherwise) we are questioning who should have access to different types of data and how collected data should be used. Visual Imprints documents an exploration into how location data is collected, visualized, and understood by people with varying degrees of data literacy. Through the design and development of the Android application Data Atlas, this exploration utilizes aspects of information architecture to illustrate how we as a society might come to better understand what technologies and applications record personal data and how collected information can be seen and used. The exploration also illustrates how creative technologists can contribute to societal questions on data literacy and user privacy as well as create work as a part of the quantified self movement. / Master of Fine Arts

What does the climate and the body have to do with each other? In some ways, they are widely different. The body is local, individual, a lived experience; the climate is global, collectively felt, and hard to observe in everyday life. In other ways, the body and the climate are inextricably linked. The ways in which we feed, dress and transport our bodies impact the climate, and the climate impacts the ways in which it is possible to feed, dress and transport our bodies. In this thesis, I aim to explore the connections between the body and the climate through two types of digital technology: web tests and apps for assessing and tracking different kinds of metrics related to the body and the climate. I use a theoretical framework centered on how the individual is presented as an arena for constant improvement, and study the interfaces through their different affordances and uses of metaphor. In my analysis, I find that these interfaces position the user as someone who can, and should, do more for both the body and the climate. They also position the user as someone in control and with the power to actually change and/or make an impact. Finally, I discuss two different ways to interpret these results. On one hand, it could be interpreted as a way to empower individuals and encourage them to act for the good of themselves and the world as a whole. On the other hand, the emphasis on individual actions may underplay the need for collective action on a systemic level. I conclude that digital technology for measuring ourselves and our behavior may offer us insights that could strengthen support for collective action, but we need to contextualize data in order to interpret it properly and act accordingly.

Technical advancements allow for increasingly sophisticated methods of self-tracking. Despite this, the ways in which we interact with our numerical representations seem not to have progressed equally, making it challenging to use the data in meaningful ways. This prevents us from making the most of self-tracking in order to facilitate a healthier lifestyle and self-improvement. In this study, we show how Dourish’s Embodied Interaction can motivate acting based on self-tracked data, with the example of walking. We conducted evaluations with experts and users of a software prototype that is built on the notion of embodiment. Based on the results, we draw a number of conclusions about the usefulness of Embodied Interaction in this area: That digital applications can support physical activity through providing context, motivation and feedback; that self-tracking applications should focus on goals rather than data; that motivation might be increased by placing the users efforts in a context that transcends them as individuals; and that Embodied Interaction offers a rich field of possibilities which are yet to be discovered.

Complex diseases such as cancer, cardiovascular diseases and diabetes are often diagnosed too late, which significantly impairs treatment options and, in turn, lowers patient’s survival rate drastically and increases the costs significantly. Moreover, the growth of medical data is faster than the ability of healthcare systems to utilize them. Almost 80% of medical data are unstructured, but they are clinically relevant. On the other hand, technological advancements have made it possible to create different  igital health solutions where healthcare and ICT meet. Also, some individuals have already started to measure their body function parameters, track their health status, research their symptoms and even intervene in treatment options which means a great deal of data is being produced and also indicates that patient-driven health care models are transforming how health care functions. These models include quantified self-tracking, consumer-personalized-medicine and health social networks. This research aims to present an open innovation digital health platform which creates value  y using the overlaps between healthcare, information technology and artificial intelligence. This platform could potentially be utilized for early detection of complex diseases by leveraging Big Data technology which could improve awareness by recognizing pooled symptoms of a specific disease. This would enable individuals to effortlessly and quantitatively track and become aware of changes in their health, and through a dialog with a doctor, achieve diagnosis at a significantly earlier stage. This thesis focuses on a case study of the platform for detecting breast cancer at a  ignificantly earlier stage. A qualitative research method is implemented through reviewing the literature, determining the knowledge gap, evaluating the need, performing market research, developing a conceptual prototype and presenting the open innovation platform. Finally, the value creation, applications and challenges of such platform are investigated, analysed and discussed based on the collected data from interviews and surveys. This study combines an explanatory and an analytical research approach, as it aims not only to describe the case, but also to explain the value creation for different stakeholders in the value chain. The findings indicate that there is an urgent need for early diagnosis of complex diseases such as breast cancer) and also handling direct and indirect consequences of late diagnosis. A significant outcome of this research is the conceptual prototype which was developed based on the general proposed concept through a customer development process. According to the conducted surveys, 95% of the cancer patients and 84% of the healthy individuals are willing to use the proposed platform. The results indicate that it can create significant values for patients, doctors, academic institutions, hospitals and even healthy individuals.

I Abstract (in English): Diploma thesis Visual lifelogging: automatic memories and picturing ordinary deals with the topic of visual lifelogging in the context of current visual culture. It describes visual lifelogging in the context of photography and as an amplification of human abilities. Diploma thesis deals with history and lifelogging as a whole and it describes its forms, describes the tools of lifelogging and it deals also with topics of surveillance and its contrary, sousveillance. It explores visual lifelogging mostly from the photographic point of view and it deals with the use of different technologies to augment human memory or other human abilities.

This thesis is examining in which way the quantified self approach can have the effect on motivation in the process of education. The aim of this thesis is to determine whether the usage of application which is tracking and recording the study progress can have the influence on motivation of users and moreover, to evaluate the most effective motivational techniques used in these kinds of applications. Firstly, terms like motivation, self-regulated learning and the Quantified Self movement are clarified. Moreover, some of the researches from the field of tracking of educational and self-educational progress are described. Furthermore, various of motivational techniques are examined. In the part of the research, by the in-depth interviews it is examined the influence of the application Todait on the motivation of users and by the quantitative survey of questionnaire it is inquired what other functions would users prefer.

Cette thèse sur travaux explore l’adoption des technologies et des pratiques de quantification de soi avec un positionnement critique. Il s’agit de mieux comprendre l’expérience des utilisateurs avec les technologies de quantification de soi, telles que les bracelets connectés, et de questionner la contribution réelle de ces technologies au bien-être et à la santé des individus. Le premier essai présente une revue de la littérature systématique sur la quantification de soi et un agenda de recherche pour les chercheurs en management. Le deuxième essai est une étude qualitative qui révèle les relations de pouvoir qu’entretiennent les utilisateurs avec la technologie. Le troisième essai s’intéresse aux mécanismes sous-jacents qui guident la décision de l’utilisateur afin d’identifier les facteurs d’adoption d’une technologie de quantification de soi. / This thesis by articles explores the adoption of technologies and practices of quantified-self with a critical stance. The aim is to have a better understanding of users' experiences with self-quantization technologies, such as connected bracelets, and to question the real contribution of these technologies to the well-being and health of individuals. The first essay presents a systematic literature review on quantified-self and a research agenda for business researchers. The second essay is a qualitative study that reveals the power relationships that users have with technology. The third essay focuses on the underlying mechanisms that guide the user's decision in order to identify the factors that lead to the adoption of a quantified-self technology.