The purpose of this three-essay dissertation was to expand knowledge and theory regarding soft systems methodologies (SSMs) and data visualization approaches in business, engineering, and other social sciences. The first essay depicts a bibliometric analysis study of the historic impacts of SSM from 1980-2018 on business, engineering, and other social sciences fields. This study found 285 articles that described or employed SSM for research and included outcomes such as top SSM authors, author citation impacts, common dissemination outlets, time-bound distribution of publications, and other relevant findings. This study provided a picture of who, what, why, when, and where SSM has had the greatest impact on academic thought and practice. The second essay presents research on the academic impact of Systemigrams, an associated data visualization approach, finding examples of conceptual or research development that employed Systemigrams to depict complex problem situations. Recommendations for improvement of designing these data visualizations to increase their field use resulted from this study. The final essay leverages a selection of the articles as use cases to produce a grounded theory study to identify phenomena that arose from the use of SSM for operations and firm strategy research. This study identified two broad themes including (i) scope, structure, and process challenges and (ii) performance and evaluation limitations. These themes were explained by six patterns that emerged from the publications. Each produced change recommendations for SSM process, practice, and reporting to support its continued viability and adoption in business and operations research.

<p>  </p> <p>Science by its very nature is a networked discipline. Experiments and research build off of past experiments and research. Labs are collaborative spaces where many individuals work together with an array of technologies and other infrastructural elements. Much of the work of network building in science is done online as scientists communicate with each other and with the public on platforms like Twitter. But how do science communicators work in these online, digital spaces to build their networks and communicate? What kinds of rhetorical choices do science communicators make when they share research or reach out to connect with others? How do social media, networking, and other technologies influence those choices? What kinds of networks are created in these online, public discussions? In this study, I draw from actor-network theory and assemblage theory methodologies to begin answering these questions. Using snowball sampling, I recruited 12 climate science communicators from three network clusters: Purdue scientists, scientists whose work was highlighted by the nonprofit Black in Environment, and science writers for NASA. Drawing from choices I observed in the Twitter writing of participants, I then spoke with each participant in a discourse-based interview, inviting them to reflect on the choices they made as they wrote online. </p> <p><br></p> <p>The resulting conversation indicated the nonhuman (such as technologies) and human influences on their online discourse. Our discussions also revealed how participants used rhetorical strategies around identification and emotion to better appeal to their specific audiences. With identification, they not only asked themselves how an audience might react to their writing, but also engaged in internal dialogue with their imagined audiences and used conversational language. With emotion, participants emphasized the importance of humor and positivity as strategies by which to make online spaces more appealing and welcoming. This study offers four takeaways from the data: (1) science communicators should be aware of and take control of the networks that surround them; (2) public science communication should still be specific and directed at smaller audiences; (3) science communication—especially in online public spheres like Twitter—should not shy away from engaging with emotion; and (4) those of us who teach writing can (and should) teach writing as a networked process. </p>

The goal of this project is to explore how 23 different bird species respond to 3 climatic attributes. These attributes are lower than average temperatures, wind speed and precipitation level. Information about the bird species and all of the data associated with them is provided by Project FeederWatch (PFW). This is a citizen based survey study that provides key information about bird species abundance through the use of backyard and community feeders. The study volunteers from across the United States and Canada monitor these bird feeders and note important information about the species such as the number of individuals seen. Other standard information is also included such as location data and date. An original data collection pipeline was developed for this study to append climate data from Weather Underground (WU) to the PFW bird feeder data. The final dataset helped to explore how exactly the birds are reacting to winter temperatures, wind speeds and rain levels. Our results indicate that birds species in general visit the bird feeders more often as temperatures dip below average. We found that the body mass of the bird plays no role in the number of visits. Birds don't seem to be significantly affected by precipitation or wind speed as our results indicate no relationship between these climatic factors and abundance at the feeders.

This paper outlines a first-person engagement with energy systems and materiality and shows how somaesthetic design is one possible means by which we can cultivate and design for new ways of ethical being in relation to energy systems. The climate crisis does not afford a continued pace of our current technological design and development. There is a need to reframe our relationship to energy, particularly in a Western energy context, like Sweden, where we have plentiful access and no meaningful barriers to thoughtless use. Sustainable Interaction Design (SID) has attempted but fallen short of bringing forth meaningful interventions. This project argues that facilitating a new way of being in relation to energy will help us open an unexamined design space. Soma design is about designing ways of being in the world, but soma design as a method uses how we are in the world to find designerly ways of contributing to a transformational becoming. Through a deep engagement on the individual level, I did design work around energy system relations. Autobiographical design work revealed a trajectory of fatalism and extreme restriction to a slow loosening up – an opening into a more holistic relationship with energy. As the process unfolded, it became clear that sustainability is not a somaesthetic sensibility but that it can be appealed to via soma design methodology which reveals underlying notions and values that benefit sustainability. This contributed to a new understanding of how we relate to energy somatically and how we might tap into relational ethics in interaction design research and practice to encourage a felt sense for the materiality of energy. / Denna artikel skisserar ett förstapersonsengagemang med energisystem och materialitet och visar hur somaestetisk design är ett möjligt sätt genom vilket vi kan odla och designa för nya sätt att etiskt vara i relation till energisystem. Klimatkrisen har inte råd med en fortsatt takt i vår nuvarande tekniska design och utveckling. Det finns ett behov av att omformulera vårt förhållande till energi, särskilt i ett västerländskt energisammanhang, som Sverige, där vi har gott om tillgång och inga meningsfulla hinder för tanklös användning. Sustainable Interaction Design (SID) har försökt men misslyckats med att ta fram meningsfulla interventioner. Detta projekt argumenterar för att underlätta ett nytt sätt att vara i relation till energi kommer att hjälpa oss att öppna ett outforskat designutrymme. Soma design handlar om att designa sätt att vara i världen, men soma design som metod använder hur vi är i världen för att hitta designmässiga sätt att bidra till ett transformerande tillblivelse. Genom ett djupt engagemang på individnivå gjorde jag designarbete kring energisystemrelationer. Självbiografiskt designarbete avslöjade en bana av fatalism och extrem begränsning till en långsam uppluckring – en öppning till ett mer holistiskt förhållande till energi. Allt eftersom processen utvecklades blev det tydligt att hållbarhet inte är en somaestetisk känslighet utan att den kan tilltalas via soma designmetodik som avslöjar underliggande föreställningar och värderingar som gynnar hållbarhet. Detta bidrog till en ny förståelse för hur vi förhåller oss till energi somatiskt och hur vi kan utnyttja relationsetik i interaktionsdesignforskning och praktik för att uppmuntra en känsla för energins materialitet.

Clinical observations of individual patients are the cornerstones for furthering our understanding of the human body, diseases, and therapeutics. Traditionally, clinical observations were communicated through publishing case reports and case series. The effort of identifying and investigating unusual clinical observations has always rested on the shoulders of busy clinicians. To date, there has been little effort dedicated to increasing the efficiency of identifying unique and uncommon patient observations that may lead to valuable discoveries. In this thesis, we propose and implement an augmented intelligence framework to identify potential novel clinical observations by combining machine analytics through outlier analysis with the judgment of subject-matter experts. Preeclampsia is a significant cause of maternal and perinatal mortality and morbidity, and advances in its management have been slow. Considering the complex etiological nature of preeclampsia, clinical observations are essential in advancing our understanding of the disease and therapeutic approaches. Thus, the objectives and studies in this thesis aim to answer the hypothesis that using outlier analysis in preeclampsia-related medical data would lead to identifying previously uninvestigated clinical cases with new clinical insight. This thesis combines three articles published or submitted for publication in peer-reviewed journals. The first article (published) is a systematic review examining the extent to which case reports and case series in preeclampsia have contributed new knowledge or discoveries. We report that under one-third of the identified case reports and case series presented new knowledge. In our second article (submitted for publication), we provide an overview of outlier analysis and introduce the framework of augmented intelligence using our proposed extreme misclassification contextual outlier analysis approach. Furthermore, we conduct a systematic review of obstetrics-related research that used outlier analysis to answer scientific questions. Our systematic review findings indicate that such use is in its infancy. In our third article (published), we implement the proposed augmented intelligence framework using two different outlier analysis methods on two independent datasets from separate studies in preeclampsia and hypertensive disorders of pregnancy. We identify several clinical observations as potential novelties, thus supporting the feasibility and applicability of outlier analysis to accelerate clinical discovery.

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Цель исследования – разработка методологии исследования нарративов в средствах массовой информации. Объект исследования – информационное поле средств массовой информации. Предмет исследования – нарративы и методологии их исследования. Научная новизна заключается в разработке нового подхода к анализу и интерпретации материалов, используемых в СМИ, использованию современных инструментов и технологий в целях более эффективного исследования и классификации нарративов в больших объемах информации. Апробация разработанной методологии включает тестирование методологии на большой выборке материалов из различных СМИ, а также участие в научных конференциях в ходе разработки методологии. Результаты работы – практическим результатом работы стала разработка методологии исследования нарративов СМИ и рекомендации по возможному использованию и улучшению результатов. / The purpose of the study is to develop a methodology for studying narratives in the media. The object of research is the information field of the media. The subject of the study is narratives and methodologies for their research. Scientific novelty lies in the development of a new approach to the analysis and interpretation of materials used in the media, the use of modern tools and technologies in order to more effectively study and classify narratives in large volumes of information. Approbation of the developed methodology includes testing the methodology on a large sample of materials from various media, as well as participation in scientific conferences during the development of the methodology. Results of the work - the practical result of the work was the development of a methodology for studying media narratives and recommendations for possible use and improvement of the results.

No / In this article we explain how the development of new organization theory faces several mutually reinforcing problems, which collectively suppress generative debate and the creation of new and alternative theories. We argue that to overcome these problems, researchers should adopt relationally reflexive practices. This does not lead to an alternative method but instead informs how methods are applied. Specifically, we advocate a stance toward the application of qualitative methods that legitimizes insights from the situated life-with-others of the researcher. We argue that this stance can improve our abilities for generative theorizing in the field of management and organization studies.