Events-Archive

2022
Thu. 06 October 2022 - Fri. 07 October 2022
Hilfskraft im Forschungsverbund: Serviceorientierte Kommunikation und Veranstaltungsmanagement
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Thursday, 06. - 07 October 2022

Thursday, 06.10.2022, 9.30-16.00 o’clock
Friday, 07.10.2022, 9.30-13.00 o’clock

More detailed information will follow

With Dr. Daniel Müller (House of Young Talents) exklusiv für Hilfskräfte (SHK, WHB und WHK) des SFB 1187

Der Workshop will take place in Siegen and will be held in German.

We kindly ask for registration by 22 September 2022 here.

Venue

Universität Siegen
Campus Herrengarten
AH-A 228
Mon. 19 September 2022 - Wed. 21 September 2022
Annual Conference 2022 "Testing in the Wild"
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Monday, 19. - 21 September 2022

Program details here

Testing in the Wild
University of Siegen | 19-21 September 2022

The objects, means, and situations of testing have multiplied rapidly in the digital age. Practices of testing have become ubiquitous. They have moved beyond the spatial and institutional confines of scientific laboratories (testing hypotheses), classrooms and exam halls (testing students), consumer organizations (testing products), and inspection agencies (testing systems and protocols) into the wild of everyday digital lifeworlds.

Human beings and technological systems are today both subjects and objects of continuous testing. Paradigms such as A/B testing, machine learning, and test-driven development infuse a logic of testing into the creation, construction and maintenance of digital systems. Digital devices are equipped with ever more sensors that facilitate the monitoring of our health, behavior, and performance, directing our sensibilities towards new modes of data-based sense-making, evaluation, and justification. Platforms incentivise consumers to become critics by testing and reviewing products in public. In parallel, grassroots testing through ‘unboxings’ and ‘teardowns’ have become genres of user-generated content in themselves. Away from online platforms, users grapple with products delivered with rudimentary manuals or generic support, and whose functionality is expected to be extendable, adaptable, and fixable in the wild. Variations of updates are rolled out to select publics in order to test their respective acceptance within, or across, targeted demographics. Testing and evaluating digital products and services ‘on the fly’ has not only become concurrent with ordinary use, but part of it. 

Practices of testing commonly rely on data: its collection, processing, circulation, (re)presentation, justification, and analysis. In fact, datafication and testing co-evolve. The proliferation of testing in the wild and associated controversies can be observed at various levels. On the one hand the intentional organization, analysis and discussion of tests and their results based on data remains relevant and has been controversially discussed in recent years, either with respect to the Covid-19 pandemic (Schnelltests, 7-day incidence rates, intensive bed capacity etc.), climate change (ice core tests, gtCO2, RCPs etc.), or financial crises (banking ‘stress tests’, REAs, leverage ratios etc.). On the other hand the everyday, continuous, and casual capture of data through digital media has led both to practices of self-tracking as well as critiques of a growing and pervasive monitoring and exploitation of users through corporate data practices. 

Countering this, initiatives and policy makers test alternative measures, platforms, and standards to develop digital services that offer enhanced and/or protected user experiences, from routing data through secure pathways, ensuring data ‘portability’, or by restricting data collection altogether. In other respects, the likes of cryptocurrencies and other cryptographic innovations face increasing scrutiny as reckless social, financial and ecological experiments. As the earth system is itself being put to the test by the sum and history of human practices and their consequences, new methods for testing, evaluating, and critiquing the impact of data practices and digital infrastructures are urgently required.

Against the background of the new ubiquity of testing the 2022 annual conference of SFB1187 Media of Cooperation invites contributions that engage with practices of testing inof and with digital devices and digital environments in the wild.

 

With keynotes by

Markus Krajewski (University of Basel): Perpetual Beta: Genealogies of Permanent Testing

Noortje Marres (Warwick University): Towards the test society: On the un-doing of experimental accountability.

 

Registration

The conference will run as hybrid event from September 19-21 2022 in Siegen. Online participants are welcome (please email info@sfb1187.uni-siegen.de).

 

additional venues

MGKWalls @ Museum für Gegenwartskunst Siegen
Unteres Schloß 1
57072 Siegen

Conference Dinner @ Brasserie
Unteres Schloß 1
57072 Siegen

Venue

Universität Siegen
Altes Sparkasse Siegen-Weidenau
Weidenauer Str. 167
57076 Siegen
Fri. 09 September 2022, 09:30 - 16:30
Qualitative Data Analysis with MAXQDA
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09 September 2022, 09:30 - 16:30

In this interactive workshop we will complete several tasks to learn the basic procedures of using MAXQDA, a software that is commonly used for analyzing qualitative data such as interviews, protocols, reports or fieldnotes. The software’s core function is to structure text or other data by applying codes/labels. This allows for a structured and transparent analysis, with easy access to the quantification of results. In this workshop we will simulate a one-document research project to become familiar with the basic steps along the research chain.

Participants are kindly asked to install the software MAXQDA before the workshop (but do not need to). More information on how to install it, here. Participants are very welcome to bring their own or other interesting materials, including longer texts or video sequences to work with.

With Dr. Daniel Müller (House of Young Talents)

Organized by the House of Young Talents exclusively for SFB 1187 members

The Workshop will take place online and is held in English.

Please sign up here.

Thu. 08 September 2022 - Fri. 09 September 2022
Conference "Health Data and its prac­ti­ces: Explo­ra­ti­ons in popu­lar, profes­si­o­nal, and parti­ci­pa­tory contexts"
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Thursday, 08. - 09 September 2022

About the Conference  | Schedule | Conference Locations and Registration | Schedule Long Version (including Abstracts)

Download  “About the Conference”  here

Schedule

Porgramm Kurzversion

Download short version (without abstracts) here

 

Conference Locations and Registration

Conference Location:

Seminarzentrum Unteres Schloss

US-S 001/002

Obergraben 25

57072 Siegen

 

Dinner Wednesday: Dinner Thursday:
Brasserie Zur Hammerhütte

Unteres Schloß 1

57072 Siegen

Kirchweg 7

57072 Siegen

 

 

Register by 6th September: healthdata2022@uni-siegen.de

 

Schedule Long Version (including Abstracts)

 

Thursday, 8th September

10:30 Welcome and Introduction

11:00 Keynote: Deborah Lupton (Sydney) via Zoom

Creative Methods for Understanding the More-than-Human Dimensions of Information about Human Bodies and Health

Deborah Lupton, Vitalities Lab and Australian Research Council Centre of Excellence for Automated Decision-Making and Society, UNSW Sydney, Australia

In this presentation, I discuss how more-than-human theory can be brought together with creative methods drawing on the arts and design to surface the ways in which human bodies and health states are entangled not only with digital media and devices but also with aspects of the non-digital world. I use examples from my research teams’ projects at the Vitalities Lab and the ARC Centre of Excellence for Automated Decision-Making and Society to illustrate how we have used these methods and the insights generated concerning health information. We use the term ‘lively data’ to describe the information and marks left by humans and other living things as they move, grow, age, die and decay, constantly changing form and entering into new more-than-human assemblages. With these projects, we want to expand thinking about how we can learn about our bodies and health states by developing strong links between the materialities of our fleshy bodies and those of other living things. The methods with which we are working attempt to stimulate recognition of people’s personal data as human remains and to make the connection between nonhumans, humans and more-than-human vitalities, interconnected relationships and distributed wellbeing.

12:30 Lunch

14:00 – 15:30 Caring, Health, and Digital Technologies

Galia Assadi (Nürnberg): Trust in the Powers of Ethical Judgment. Reflections on the Ethical Value and Implications of Participatory Contexts

Ethical evaluation of digital health technologies can tread different paths. Most evaluations can be grouped in one of the following approaches: 1.) Extern ethical evaluation, mainly produced by studied ethicists and grounded on the traditions of academic discipline like e.g. philosophy or theology. 2) Accompanying research (connected to projects in the realm of technology research and development) regarding ethical, legal and social aspects (ELSA), primarily conducted by professional researchers who take part in the development processes. 3) Participatory approaches in IT development, including researchers from different areas of expertise as well as laypersons representing the targeted user group. Even though, from an ethical perspective, every approach is equivalent, they result in different outcomes and are based on a different understanding of ethics. Whereas approach 1and 2 are already well established, e.g. in the area of publicly founded technology research and development, approach 3 actually is relatively new and rarely tested. This may have its origin in the challenges connected to participatory research as well as in a deficit regarding methodical expertise. The presentations aims at demonstrating the ethical foundation as well as the potential of this approach, highlighting its ethical relevance for a pluralistic society and its fruitful implications for design and implementation of digital health technologies.

Christophe Kunze (Furtwangen): The Complexity of Cooperative Care and Health Data practices – Explorations of IT-supported Collaboration in (Tele-)care

This contribution presents explorations of health data and its practices in collaborative caregiving. It is drawing on observations and experiences in different contexts such as the coordination and collaboration of formal and informal elderly care [1], digital neighborhood development [2] and the implementation of video telecare in home-based palliative care for children [3]. While these application examples differ considerably in terms of medical challenges and actors involved, they nevertheless share many similar characteristics. As collaborative care work, they are characterized by a high proportion of interaction work. Subjective assessments, experiences as well as tacit and implicit knowledge play an important role, but are typically only partially visible in health and care data in IT systems. The inherent categorization and standardization in IT systems can only reflect diversity and complexity of caregiving contexts to a limited extent. In such collaborative care structures, the boundaries of formal and informal caregiving roles are blurring. The same is true for popular and professional health data. Participatory health data is a result of co-production, for instance in video telecare when patient’s relatives are controlling the camera work instructed by caregivers. Due to the highly dynamic nature of the digital transformation, the handling of such participatory data is less established and standardized than in formal, professional application contexts. The appropriation of tech therefore requires a high degree of infrastructural work, whereby actors can hardly draw on the experience of others and practices must be negotiated and reconfigured on a regular basis.

Our explorations highlight ambiguities, uncertainties and contradictory facets within participatory health data practices. For instance, video interaction in telecare is fluctuating between preserving and compromising privacy, keeping distance and staying connected, practical benefits and conflicting professional attitudes, and (de-)professionalization. The design, implementation and (non-)adoption of IT-supported collaboration tools and structures also reveals breakdowns and gaps within the health and social care system, such as missing responsibilities for essential care and case management tasks. Consequently, the design and implementation of health data systems and practices is also raising questions about the nature of (visible and invisible) care work and what constitutes good care.

References:

[1] Renyi, M., Gaugisch, P., Hunck, A., Strunck, S., Kunze, C., & Teuteberg, F. (2022). Uncovering the

Complexity of Care Networks–Towards a Taxonomy of Collaboration Complexity in Homecare.

Computer Supported Cooperative Work (CSCW), 1-38.

[2] Renyi, M., Hegedüs, A., Schmitter, P., Berger, F., Ballmer, T. M., Maier, E., & Kunze, C. (2022). Lessons

learned: the multifaceted field of (digital) neighborhood development. The Journal of Community

Informatics, 18(1).

[3] Kunze, C., Kächele, I., Kiefer, P., Lindwedel, U. (2022): Digitalisierung in der Pflege – aktuelle

Entwicklungen, Potentiale und Herausforderungen im Kontext der Versorgung von Menschen mit komplexer Behinderung. In: Zuleger, A., Maier-Michalitsch, N. (Eds.). Pflege und Palliative Care interdisziplinär. Verlag selbstbestimmtes leben, 2022 (in press).

Sebastian Merkel (Bochum): Using Smart Speaker for Health and Social Care by Older Users. An Explorative Study

Smart speaker, like Amazon´s Echo or Apple´s HomePod, show high rates of diffusion in private households in Europe and North America since Amazon launched the first smart speaker in the USA in 2015. Against the background of commercial success of and technological advantages in speech recognition (SP) and natural language processing (NLP), there is a growing body of literature on the use of digital assistants and smart speakers in the domain of health and social. With hands-free interaction, the devices can be used as medication reminders, for symptom management, documentation, or communication between patients and nurses/doctors covering multiple medical fields like diabetes care (see e.g. Basatneh et al. 2018; Dojchinovski et al. 2019; Sadavarte and Bodanese 2019; Sezgin et al. 2020). One group of potential users of smart speakers and benefits of smart speakers for this group have already been discussed (see e.g. Farr, 2018; Ianzito, 2018; Nimrod & Edan, 2021). Features of smart speaker (‘skills’ or ‘actions’) available specifically designed for the elderly and companies like Amazon started offering specific services such as “Alexa together”, that aim at supporting older persons living independently by offering multiple features like fall detection alerts and activity responses. Advantages of the supposedly easy to use voice assistants for older individuals seem obvious: They can be operated despite visual impairments or limitations in mobility and without the need of getting accustomed to a visual user interface, which makes them easier to navigate (Nimrod & Edan, 2021). A recurring critique in the field focuses on the question of data security, be it due to the risk of wiretapping inputs or because using voice commands is considered a new form of interaction with technologies requiring knowledge about how data is processed by users (Deutscher Bundestag, 2020). However, up to date research on smart speaker use by older persons is still in its beginnings, particularly on questions of appropriation and Appropriation of tech. Against this background, the presentation will integrate results of several studies carried out: (1) A scoping review on the use of smart speakers within the domain of health and social care, (2) a review of smart speaker applications designed for older persons, and (3) domestication of smart speakers by older persons based on interview data.   

15:30 – 1 6:00 Coffee Break

16:00 – 17:30  Appropriating and Implementing Health Data Practices

Anne Jordi Koppenburger (Aachen): Taking Shape – Examining Knowledge Infrastructures for Health. On the Formation of the Electronic Patient File in Germany

Over 25 years ago the term electronic patient file (EPF) found its way into the rhetoric repertoire of health politicians not only in Germany. While the term has changed its meaning since then, especially in recent years it has become a main talking point of health politicians relating to health care system improvements. In my study of the formation of the EPF, I consider several viewpoints and trace expectations of stakeholders emerging over the course of time and under changing health policies. Initial results of interviews and documentary analysis suggest not only an interplay of different logics from different levels of the healthcare system. Moreover, the EPF can be understood as an infrastructuring endeavor that takes shape according to values inherent to the model of the health insurance system on the one hand. On the other hand, the form taken at each point of time constrains the realization of alternative and future options.

In my presentation I shall delineate the observed sociotechnical enterprise as a basic (data) preparatory work in the health care system.

Conceptualizing the electronic patient file as a boundary infrastructure (Neuman/Star 1996) allows for the consideration of different stakeholders who are directly and/or indirectly involved in the development of the basic digital infrastructure, its hard- and software and its manifold applications. From here, demanding social processes, e.g. the deliberation of (technologically-)promoted values and the negotiation of jurisdictions come into view. However, in contrast to technical artifacts, infrastructures have no clear cut life-cycles; they are conceived as timely and spaciously far-reaching (Bowker 2015). Associated herewith are methodological challenges to observe, analyze and theorize digital infrastructures not only in the health care

sector. Seen as a mode of social practice, infrastructuring and its prevalence calls for methodological innovations and new perspectives of the social studies of science and technology. Using the example of the electronic patient file, I will discuss these research related issues.

Enrico Maria Piras (Verona): Quantifying, Tracking, Analyzing. Disputed Bodies in Datafied Chronic Care Management

Datafication of the human body, the representation of vital signs and activity through figures, is not new in itself. While measuring has been a concern for medical science since its inception (Shryock, 1961), contemporary healthcare provision also heavily relies on data for administrative or procedural aspects. Representing physiological process through data serves the purpose to disentangle a single function from the messiness of the body, constantly scrutinize and correct its malfunctioning if necessary. Datafication holds the promise to unpack and make intelligible the biology of the body paving the way to streamlining the adjustment, hacking and improvement of its inner mechanisms. Data work, “the human activity related to creating, collecting, managing, curating, analyzing, interpreting, and communicating data” (Bossen et al., 2019) is so intertwined with medical practice to the point of having become indistinguishable from it and such activities have significantly contributed to change professions and reshape healthcare organizations and practices.

More recently creating, harvesting, and interpreting data have become part of the curriculum of patients and caregivers too. The emphasis on empowerment and self-management in chronic care has led to patient education requiring competences in represent their condition through measuring and making sense of data, leading to several different forms of health data tracking (Lupton, 2014). Moreover, the availability of personal monitoring devices ended the monopoly of the clinic as the locus of body data production and has paved the way to forms of health data analysis performed by patients, leading to forms of practical patient knowledge which may differ from medical knowledge (Pols, 2014).

Besides measures, personal health technologies often offer decision support systems built by manufacturers basing on the analysis of big data gathered through the devices. Proprietary algorithms, whose inner functioning is not disclosed, have thus entered the landscape of health decision making as a third legitimate interpreter of  health data together with healthcare professionals and patients.

While datafication of the body has opened up opportunities for diagnosis and therapy it has also contributed to turn bodies into disputed terrains of intervention. Diabetes type 1 has a longstanding tradition as a forerunner of future trends in health care and it will provide the case to illustrate the how personal health technologies, datafication, and automated interpretation have given rise to grey areas in which it’s not clear whose interpretation is more relevant. 

Focusing on three grey areas (type 1 diabetes management during pregnancy, in remote monitoring, and the self-management practices performed within the school premises) the chapter will describe and discuss how datafication technologies can be subject to multiple forms of appropriation where responsibilities are attributed and negotiated, new configurations of care are built, boundaries are created and contested.

 

References:

Bossen, C., Pine, K. H., Cabitza, F., Ellingsen, G., & Piras, E. M. (2019). Data work in healthcare: An Introduction. Health Informatics Journal, 25(3) 465–474 

Lupton, D. (2014b). Self-tracking modes: Reflexive self-monitoring and data practices. Available at SSRN: http://dx.doi.org/10.2139/ssrn.2483549 

Pols, J. (2014). Knowing patients: turning patient knowledge into science. Science, Technology, & Human Values, 39(1), 73-97.

Shryock, R. H. (1961). The history of quantification in medical science. Isis, 52(2), 215-237.

Benjamin Marent (Sussex): Digital Health: A Sociomaterial Framework

The notion of digital health often remains an empty signifier, employed strategically for a vast array of demands to attract investments and legitimise reforms. Rather scarce are attempts to develop digital health towards an analytic notion that provides avenues either for understanding and/or for governing such ongoing transformations in healthcare. This presentation elaborates a sociomaterial framework for governing digital health innovation. It first outlines a sociomaterial approach to understanding digital health, showing how digitalisation affords practices of health and medicine to handle the combined and interrelated challenges of increases in quantification (data-intensive medicine), varieties of connectivity (telemedicine), and unprecedented modes of instantaneous calculation (algorithmic medicine). This enables an engagement with questions about what forms of knowledge, relationships and control are produced through certain manifestations of digital health. The presentation then sets out, in detail, an innovative digital health governance framework that can guide explorations and negotiations into the type of care we want to achieve through digital transformation. The framework embeds Karen Barad’s concept of agential cuts suggesting that responsible cuts towards the materialisation of digital health require participatory efforts that recognise the affordances and the generativity of technology developments. Such governance strategies can lay the foundations to reorient and sensitise innovation and care processes in order to create new possibilities and value-centric approaches for promoting health in digital societies as opposed to promoting digital health per se.

KEYWORDS: digital health futures, sociomaterial governance, agential realism

 

19:00 Conference Dinner

Zur Hammerhütte

Kirchweg 79

57072 Siegen

 

Friday, 09th September

09:00 – 10:00 Clinical Health Data Practices I

Susanne Brucksch (Tokyo): Health Data, Medical Devices and Development Practices Among Clinical Engineers in Japan

Health data are nowadays mediated by machines and digital technology. They are the source for medical knowledge and health practices in professional and popular contexts alike. The scholarship draws wide attention to the generation and processing of such information and insufficiencies responding to user needs. The focus lies predominantly on medical professionals, nurses and care givers as well as patients and/or care recipients and their families. Less light is shed on the role of medical technicians and engineers who are designing, producing and maintaining devices mediating health data. In Japan, the number of technicians employed in hospitals seems to have increased two- to threefold over last 30 years with the intrusion of high-technology into clinical workplaces. This remarkable change leads to the question which role do clinical technicians and engineers play in providing and maintaining the data-related technology and infrastructure in hospitals. Moreover, how far do they rely on health data and which data practices can be observed in the making and application of medical technology. This paper presents data from an interview study conducted in Jan 2020 and Nov-Dec 2021 in various hospitals in Japan. The preliminary findings suggest that clinical technicians experience a markedly increase of their professional status in hospital hierarchies. However, they also face increasing difficulties to keep up with the employment and maintenance of highly complex devices provided by medtech companies and abroad. If this would not be enough, clinical engineers and technicians are expected to be involved in medtech partnerships to support local industries and to secure future markets for a struggling (local) economy. Special matching and exchange programs have been established to enable information flow and participatory development but came under further pressure during the pandemic resulting in limited excess to clinical sites, increased need for exchange and a switch to digital matching formats.

Susanne Brucksch is associate professor at Teikyo University in Tokyo, Japan. She was senior researcher at Free University Berlin and principal researcher at the German Institute for Japanese Studies (DIJ) in Tokyo before as well as visiting scholar at Waseda University in 2016 and the Max Planck Institute (MPI) for Innovation and Competition in 2019. Brucksch has been serving as chair of the advisory board of DWIH Tokyo (German Centre for Science and Innovation) 2019-2021 and as board member of VSJF (German Association for Social Science Research on Japan) since 2016. Her research focuses on innovation and research collaboration regarding medical devices in Japan. Her recent publications comprise the anthology “Humans and Devices in Medical Contexts. Case Studies from Japan” (2021), edited with Kaori Sasaki, Palgrave Macmillan (https://link.springer.com/book/10.1007/978-981-33-6280-2).

Stefanie Büchner, Justus Rahn (Hannover): “Palliative” Modes – Reconfigurations of Data Practices in Intensive Care

Die Ethnographie hat interessante Einblicke in den Wechsel des Modus im Umgang mit Daten angesichts von (meist kurzen) Sterbeprozessen auf der Intensivstation gegeben, die wir gerne vorstellen und diskutieren würden. Der Titel „Palliativmodus“ greift eine Semantik des Feldes auf, nämlich die Bezeichnung für eine neue Möglichkeit, über eine spezifische Einstellung der Monitoringsysteme die Sichtbarkeit und audiovisuelle Präsentation von Gesundheitsdaten „am Bett“ zu verändern. Wir möchten uns diesem Wechsel, der natürlich weit mehr meint als die Änderung der technischen Voreinstellung, genauer widmen und damit einen Beitrag zur Datafizierung und Sterben leisten, der vielleicht auch im Anschluss an Glaser und Strauss für die Diskussion von „health data“  interessant ist.  

10:00 – 10:15 Break

10:15 – 11:15 Clinical Health Data Practices II

Kevin Wiggert (Berlin): Systems of AI-assisted Clinical Decision Support. On Attempts at Data-based “Calculation” of Disease States in Intensive Care Medicine

Today, medical routine in intensive care units is exceedingly sociotechnical (Schubert 2011). Health professionals need to interpret the signs shown by the devices and do “balancing work” (Mort et al. 2005). Arising uncertainties are counterbalanced by the individual routine and experience of the clinician. In recent years, systems of AI-assisted clinical decision support (CDSSs) have been designed to remedy this situation (Sloane & Silva 2020). In addition to artificially intelligent calculation, CDSSs use large amounts of data. These are usually very different types of data, containing personal data, medical measurements, but also scores that have become an established part of the medical field in question. While developing such a system, it often happens that new variables are included (first on a test basis) that were not previously common practice in the relevant medical community. At the same time, other “data” sources are left out. This especially counts for the various approaches and routines of clinicians to examine a patient’s body, which constitutes a significant part of their experience base and expertise. The amount of data variables used, the diversity of the data types, as well as the substitution with and addition of new data variables that comes with the development and implementation of CDSSs makes it potentially difficult – if not impossible – to understand the procedural processes of its reasoning and how and why it came to certain conclusions. This is also one reason why their actual use is still scarce (Winter & Carusi 2022). I will use interview data with developers and clinicians from two empirical examples of the development and testing of a CDSS for the early prediction of patients’ health status in intensive care situations (one case is about monitoring the health condition in pediatric care, the other case about observing health statuses regarding potential future decompensation of patients), which I conducted in 2021 and 2022. In both cases a CDSS correlates multiple data points to potentially medically relevant results, which firstly, are difficult to validate by the treating clinicians; secondly, they are changing the temporal structure of medical examination, for example, when the predictive calculations about a patients’ health condition shown by a CDSS exceed the temporal horizon of the treating clinician; and thirdly, arise in a socio-technical context, which is often characterized by a high stress level and time pressure, which therefore makes fast decision-making necessary. In my talk I want to show how this threefold combination potentially changes medical decision-making and challenges the multiple practices of medical examination (Mol 2002).

Bibliography:

Mol, A. (2002): The Body Multiple. Ontology in Medical Practice. Durham, London: Duke University Press.

Mort, M., Goodwin, D., Smith, A. F., & Pope, C. (2005): Safe asleep? Human–machine relations in medical practice. Social Science & Medicine, 61(9), 2027-2037.

Schubert, C. (2011): Die Technik operiert mit. Zur Mikroanalyse medizinischer Arbeit. In: Zeitschrift für Soziologie, 40(4). Stuttgart, pp. 174-190.

Sloane, E. B.; Silva, R. J. (2020): Artificial intelligence in medical devices and clinical decision support systems. In: E. Iadanza (ed.): Clinical engineering handbook. Second edition. London, San Diego, CA: Academic Press, pp. 556-568.

Winter, P. D.; Carusi, A. (2022): (De)troubling transparency: artificial intelligence (AI) for clinical applications. In: Medical humanities. DOI: 10.1136/medhum-2021-012318.

Torsten Risør (Tromsø): Trailblazing, Jamsession and the Root Metaphors of Data Use in Clinical Practice

I plan to talk about five different underlying metaphors in clinical decision making – two that are mostly used by clinicians and two that are mostly used by administrators and policy makers, and finally a fifth that may explain something about why we clinicians find it difficult to adress social inequalities of health.

My empirical starting point will be an everyday clinical encounter from general practice, fairly simple in medical terms but with an inherent social complexity and useful to illustrate how the different underlying metaphors may impact decision-making.

11:15 – 11:45 Break

11:45 – 12:45 Health Data Infrastructures and  Data Flows

Marine Al Dahdah (Paris) via Zoom: Digital Health for All Constructing a Data-Driven Welfare State in the Global South

Mobile phones, and more generally digital infrastructures, are now being promoted as a fundamental element in the response to health needs in wealthy countries, but also increasingly in the Global South where digitalisation is placed at the centre of “universal health coverage initiatives”. Frequently, these technical public-private partnerships determine the provision of state welfare and differentiate access to health resources through digital infrastructures. Focusing on two such initiatives in Kenya and India, this communication investigates the partnerships between government and private digital operators as well as the ability of patients to manage their health needs digitally. While these programmes promise health coverage for all, their technical infrastructures complicate access to health services, revealing new patterns of exclusion. Indeed, inclusion, exclusion and their differentiation are determined not only through public state policies but also through digitally constructed criteria. This communication also addresses questions around health data usage and ownership. Like Airbnb which does not own hotels, digital health platforms do not own physical healthcare infrastructures themselves, but they have ownership over a secondary infrastructure in the form of digitised health information. Indeed, such programmes lead to the commodification of healthcare and the weakening of public health infrastructures by diverting public funds to private digital ventures and transferring health data ownership to private companies.

François van Schalkwyk (Stellenbosch): Hyperlocal Data Flows: A Synthesis of Findings from Three African Countries

The use of health data at the local level – that level of governance and delivery of public services closest to communities – is seen as playing an important role in the evidence-based decision-making and consequently, instrumental in local development. Investments in improving the quality and use of health data in developing countries is characterized by stalled attempts to devolving governance, the interventions of multiple donors often targeted at specific diseases (e.g. HIV/Aids, malaria, TB), and a belief in the transformative potential of digital infrastructure and solutions in a context of historical underinvestment in key public services such education and healthcare. Against this background, three studies were commissioned to investigate the flow of health data between the hyperlocal and national levels of governance in Cote d’Ivoire, Lesotho and Tanzania. The purpose was to identify flows and blockages so as to design interventions that could improve data use by communities in these three countries. This paper synthesizes the findings from these three studies. It presents two general findings. First, it reveals the complexities of studying health data flows in national systems and suggests how future research could approach the study of health data flows. Second, it synthesizes the general characteristics of the flow of health data to and from the hyperlocal level in the three African countries.

12:45 – 13:00  Closing Discussion

What Makes Health Data Popular, Professional and Participatory and Why Does it Matter?

13:00 – 14:00 Lunch und Farewell

 

Thu. 01 September 2022 - Fri. 02 September 2022
Workshop "Agre After Techno-Utopianism"
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Thursday, 01. - 02 September 2022

Schedule  |  Registration

Schedule

We can finally announce the schedule for the forthcoming workshop, ‘Agre After Techno-Utopianism’, to be held at the University of Siegen, Germany/hybrid, 1-2 September. We will hold two paper sessions on ‘Agre as a Philosopher’ and ‘Capture and Capitalism’, with contributions from a range of scholars. In addition, we have a number of ‘conversations’ with scholars who will consider various aspects of Agre’s thought, from Lucy Suchman and David Chapman, to Geert Lovink, Marina Gržinić and David Murakami Wood. The workshop will also dedicate time to reading some of Agre’s lesser-known works, on the nature of ‘human tech’, privacy, and facial recognition. 
8/31/22

Registration

There is no charge for registration. To register, please click the button below and fill out the form.

 

Thursday, September 1st, 2022 

2:00 p.m. 

Arrival and welcoming remarks
by Tatjana Seitz and Sam Hind

2:15-2:45 p.m.  Introduction
by Geert Lovink
2:45-4:15 p.m. Workshop I: Agre as Philosopher
with contributions by Daniela van Geenen,  Jethro Masís, Neal Thomas, and Adam Hyland, Julie Vera and Brett Halperin
4:15-4:30 p.m. Break
4:30-6:00 p.m. Workshop II: Capture and Capturism
with contributions by Tobias Stadler, Andreas Beinsteiner, Marc Tuters and David Gauthier
6:00-7:15 p.m. Dinner
7:15-8:45 p.m. Early Agre
in conversation with Lucy Suchman and David Chapman; moderation by Tatjana Seitz and Sebastian Randerath

Friday, September 2nd, 2022

11:30 a.m.-1:30 p.m. 

Workshop III: Reading Agre

Agre (1995) From High Tech to Human Tech 

Agre (1995) The Soul Gained and Lost 

Agre (1999) The Architecture of Identity: Embedding Privacy in Market Institutions

Agre (2003) Your Face is Not a Bar Code

1:30-3:00 p.m.  Lunch
3:00-4:30 p.m. Mailing lists and Netzkritik
in conversation with Geert Lovink and Pit Schultz with special contribution on the RRE mailing list by Marc Tuters & David Gauthier; moderation by  Elena Pilipets
4:30-4:45 p.m. Break
4:45-6:15 p.m. Surveillance Cultures and post tech-utopian Digital Cultures
in conversation with David Murakami Wood; moderation by Armin Beverungen
6:15-7:30 p.m. Dinner
7:30-9:00 p.m. Rethinking Techno Futures
with Marina Gržinić, Liliana Conlisk-Gallegos, Ricardo Dominguez, Jaromil; moderation by Marina Gržinić

 

Call for Participation 

It is hard to imagine digital culture without the work of Philip E. Agre. His description of the mutual dynamics of digital technology and ideology, so-called ‘grammars of action’ (Agre 1994), and the appeal for a critical technical practice (Agre 1997) have inspired scholars across media studies, HCI, and digital art and design for over 30 years. This workshop, ‘Agre After Techno-Utopianism’, seeks to evaluate his contribution to the study of technology, ideology, critique, and practice since the ‘techno-utopia’ of the early internet era ended, and more dystopic energies emerged.

The relevance of his work today is substantial. In Surveillance and Capture (Agre 1994), Agre saw the threats new workplace technologies posed that would mutate into examples of surveillance capitalism. In Real-Time Politics (Agre 2002), he wrote extensively on the downsides of digital cultures when the web was still considered a techno-utopia. In Pengi (Agre and Chapman 1987), Agre and David Chapman explored critiques of dominant AI conceptualizations. Together, these strands can be considered precursors to work, now commonplace, in software studies and integrated into computational methods for the study of digital culture. In Toward a Critical Technical Practice (Agre 1997), Agre famously offered a synthetic approach to studying technology, straddling the ‘craft work of design’ and the ‘reflexive work of critique’. In High Tech to Human Tech (Agre 1995) the political economy of digital culture became an even greater interest, debunking the ideology of ‘empowerment’ in newly ‘computerized’ workplaces. Even lesser-known work on the Networked University (Agre 2000) offered a prescient insight into the ‘promise and danger’ of remote learning.

Agre’s contribution to, as well as critique of, digital culture was just as significant. He ran the monthly mailing list The Network Observer (TNO) (1994-96) before starting the Red Rock Eater News Service (RRE) (1996-2001), offering regular insights into the ‘social and political aspects of computing and networking’. Not only did Agre critique the emerging digital world, but contributed to the counterculture within it. Since this period, we have experienced the downsides of networks, social media, and platforms, with AI and sensory media accelerating capitalism further. Bringing the founders of the nettime (1995-present) mailing list into conversation with the history of REE we want to think about how list cultures equally manifest as cultures of resistance. In this, we want to re-discover ideas that resisted tech-utopian narratives, and practices that challenged these ideologies.

Collectively, we want to deepen our understanding of Agre’s thinking and the significance of his work. From revisiting well-known texts to rediscovering less-popular work, and exploring the exciting interconnections between various disciplines and forms of ‘net activism’ that engaged with Agre’s work from computational science to sociology, and from work in political economy to across the wider arts and humanities. Within the context of the contemporary platform condition we want to collectively reflect on the relevance, as well as limitations, of his work; continuing to debunk cyber utopias, whilst disassociating and rearticulating narratives of power.

 

CfP for the workshop “Agre After Techno-Utopianism”

For this purpose, we invite contributions to a two-day workshop, 1-2 September 2022 where workshop participants will dive into the work of Agre through different formats: conversations, exegese, and critiques. In this, we are equally interested in exploring his role in shaping digital culture as we are in his academic work.

We invite contributions that engage with Agre’s work in a comprehensive manner. We want to develop a foundation for how to read and work with Agre. We especially welcome contributions that seek to apply, and develop, Agre’s key concepts. However, the workshop will also aim to make sense of how Agre’s thought has itself developed, from his early experiments with Pengi to the political economy of the internet. How, for instance, did his work on Pengi shape the idea of critical technical practice? What kinds of critique does Interactionism offer for the digital?

While the written contributions are designed to support a thorough examination of Agre’s thinking, we will provide ample space for discussion. Here Agre can be confronted with contemporary questions. How, for instance, to think about ‘data practices’, sensor media or automation along with Agre?

Our second concern is to discuss the possibilities and practical implications of a collective inventory or archive of Agre’s work, exploring methods of documenting the network that developed around the RRE in the US and Europe and consider how it might be preserved and/or re-presented. We believe his heterogenous interventions deserve to be organized in a way that is respectful to the media specificity and materiality of early net critique, as well as being made accessible to the broader public.

As the location of the Harold Garfinkel archive, and a pioneer in the study of media practice, ethnomethodology, early internet studies, and the study of infrastructure, SFB1187 Media of Cooperation at the University of Siegen is well suited to host this workshop.

 

Format: 2-day discussion workshop with conversation formats and interviews as well as dedicated discussions of contributions. Papers will be circulated in advance.

Please submit an extended abstract (1000 words)

Deadline for submissions: 10 May 2022

Suggested (non-exhaustive) topics. How did Agre develop critiques around the following issues:

  • Web communities and cultures (mailing lists, social media, tactics, resistance)
  • Connectivity and networks (wired-ness, de/centralization, infrastructure)
  • Capital-isms and technology (surveillance, networked, corporate, managerial)
  • Work and the workplace (tasks, practices, organizational forms)
  • Meaning of work (empowerment, the entrepreneurial self)
  • Surveillance and privacy (grammars of action, capture model)
  • Ethnomethods (accountability, activity, plans)
  • Activity Theory (L. S. Vygotsky) and Interactionism as modes of critique
  • Medium specificity (devices, platforms, AI)
  • Critical Technical Practice (CTP), design and methodology (critique, tech ethics, APIs)
  • Archives and histories (interactivity, accessibility, documentation)
  • Other topics open to ‘Agre-ian’ analysis (e.g. environment, ecology, race)

We welcome contributions from former colleagues and contemporary witnesses. We also hope to hear various personal accounts of these early days of the internet: the ideas, visions, and hopes that shaped, and have been reshaped, by these early developments.

Please send submissions to Tatjana Seitz: tatjana.seitz@uni-siegen.de

 

Organizers: Tatjana Seitz, Sam Hind, Carolin Gerlitz, Sebastian Gießmann

 

Works:

Agre P.E. and Chapman D (1987) Pengi: An implementation of a theory of activity. AAAAI-87 Proceedings 268–272.

Agre P.E. (1994) Surveillance and capture: Two models of privacy. The Information Society: An International Journal 10 (2): 101–127.

Agre P.E. (1995) From high tech to human tech: Empowerment, measurement, and social studies of computing. Computer Supported Cooperative Work (CSCW) 3 (1): 167–195.

Agre P.E. (1997) Toward a critical technical practice: Lessons learned in trying to reform AI. In Bowker GC, Leigh Star S, Turner W and Gasser L (eds) Bridging the Great Divide: Social Science, Technical Systems, and Cooperative Work. Mahwah, NJ: Lawrence Erlbaum Associates, pp. 131–158.

Agre P.E. (2000) Infrastructure and institutional change in the networked university. Information, Communication & Society 3 (4): 494–507.

Agre P.E. (2002) Real-Time Politics: The Internet and the Political Process, The Information Society, 18(5), pp. 311–331.

Web resources:

The Network Observer: https://pages.gseis.ucla.edu/faculty/agre/tno.html

Red Rock Eater News Service (RRE): https://pages.gseis.ucla.edu/faculty/agre/

 

Venue

Siegen (on site/hybrid)
AH-A 217/218
Herrengarten 3
57072 Siegen
Lageplan

Contact

SFB 1187 - Medien der Kooperation /Teilprojekt A01
Tatjana Seitz
tatjana.seitz@uni-siegen.de
SFB 1187 - Medien der Kooperation /Teilprojekt A03
Dr. Sam Hind
sam.hind@uni-siegen.de
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Thu. 14 July 2022 - Fri. 15 July 2022
Workshop "Taking up the Challenge" (A03)
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Thursday, 14. - 15 July 2022, 11:00 - 17:00
‘Taking up the Challenge’ Workshop
 
Challenges competitions and prizes have long been used to advance or accelerate technological innovation. The world of robotics and automation is no different: the DARPAGrand Challenge first hosted in 2004 kick-started the development of autonomous vehicles. Yet as AI research itself has proliferated moving away from state-funded programmes to all manner of start-up research centre and big tech-driven initiatives the practice of hosting challenges has only intensified.
This workshop examines the phenomenon of such challenges as they seek to stimulate and structure AI autonomous vehicle and machine vision research in the field. The workshop considers the value of challenges to scientific and technological problem-solving and to the pursuit of scientific and technological solutions. It also aims to explore the value of challenges both to challenge organizers and challenge participants: why host them? Why participate? In this the workshop seeks to examine the political economy of AI research and how the terms of participation in such challenges are carefully prescribed by organizers. Challenges not only alert hosts to emerging talent but help in establishing feeder networks often constituting a successful ‘conveyor belt’ of computer scientists machine vision researchers and software engineers for organizers. Likewise in distributing and externalizing specific AI tasks challenges shrink associated labour costs of performing AI work to nominal levels. In participating however ordinarily young or novice researchers are offered the opportunity to tackle ‘cutting-edge’ industry problems with the promise of attracting the attention of a big tech company at the end.
Objective
  • Examine machine vision ‘challenges’ in autonomous vehicle research
  • Advance contemporary work on the political economy of AI in respect to how datamachine-learning cloud infrastructures computation highly-skilled labour start-ups and big tech firms contribute to the development of AI.
Organized by project A03 (Sam Hind, Max Kanderske, and Fernando van der Vlist)
 
The workshop will run from July 14-15 2022 in Siegen and online. It is intended to be an internal workshop and we invite participants from across SFB1187. External participants are welcome by invitation (please email sam.hind@uni-siegen.de).
Wed. 13 July 2022, 3:30 - 5 pm
Lecture Series: “Testing Infrastructures” – Martin Tironi (Pontificia Universidad Católica de Chile): "Prototyping For More Than Human Futures"
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13 July 2022, 3:30 - 5 pm

“Prototyping For More Than Human Futures”

More information on the talk will follow.

On the lecture series: “Testing Infrastructures”

From QR codes used to verify COVID-19 vaccination status’ to cloud software used to train machine learning models, infrastructures of testing are proliferating. Whilst the infrastructures themselves come in different forms – from ‘off the shelf’ systems to tailor-made technologies – they all have a capacity to generate specific ‘test situations’ involving an array of different actors from ‘ghost’ workers to python scripts. An increasing reliance on digital platforms, protocols, tools, and procedures has led to a redistribution of testing itself: not just where testing takes place, and who performs the testing, but who has access to, and control over, mechanisms for testing, test protocols and of course, test results. In this lecture series, we focus on the practices making up the test infrastructures and explore different perspectives to make sense of the realities enacted by testing.

We invite our lecture guests to ask: how do testing infrastructures engender the construction of specific testing routines and practices? What kinds of affective experiences, reactions, and responses are generated through testing? Here we invite reflection on how testing infrastructures oft fade into the background, pointing to a tapestry of maintenance and repair practices. Lastly, what are the ways in which we can evaluate the role of digital infrastructures more broadly? This includes the challenge of what novel test methods can be developed and actually ‘tested’ to gain a better understanding of how infrastructures work. Our exploration of test practices in this context is interwoven with the search for test media that bind actors together or create barriers; that enable cooperation or declare it impossible.

Possible questions include (but are not limited to):

  • What are the implications of testing in different social situations and in what moments do they come to the fore? 
  • When and where are tests conducted—for whom and what, through whom and what, and by whom and what actors?
  • What are digital practices for/of testing and with what types of data do testing infrastructures support?
  • What other practices spawn from distributed testing? Think of practices of passing and obfuscation within nested situations of testing and the outsourcing of ‘validation work’ as constructions that govern.
  • What methodological strategies are there to make test procedures and their foundations transparent?
  • Can different politics of testing be distinguished? If so, where and under what conditions?
  • Can we demarcate between embodied testing and disembodied testing?

 

Guests are welcome to register via Mail with ‘Send an E-mail’

Venue

Online-Event
Wed. 13 July 2022, 2:15 - 3:30 pm
Lecture Series: "Testing Infrastructures" – Anat Ben-David (Open University of Israel): "Testing compliance: Israel‘s repurposing of Secret Services surveillance technologies for Covid-19 Contact Tracing in 2020"
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13 July 2022, 2:15 - 3:30 pm

“Testing compliance: Israel’s repurposing of Secret Services surveillance technologies for Covid-19 Contact Tracing in 2020”

With the rapid unfolding of the COVID-19 global pandemic, Israel was one of the first states outside East Asia to impose involuntary surveillance measures to combat the virus. The government utilized the country’s permanent state of exception to bypass the parliament and deploy a hitherto classified anti-terrorism tool developed by its internal security service (Shin Bet) to track the location of COVID-19 patients and notify citizens who have been near an identified patient to self-quarantine. This talk explores the unprecedented repurposing of an anti-terrorism tool for addressing a civic health crisis through the lens of testing infrastructures. It argues that the mass infrastructural test was deployed as an a priori policy to generate compliance through securitization. This policy had to be justified at any price, including publishing compromised public data that hid the actual low-efficiency rates of Shin-Bet’s contact tracing.

The talk explores how data essentialism and securitization were used for solidifying the underlying infrastructural surveillance that made the Corona-tracking possible (Gekker & Hind, 2019). Then, following critique about the emergence of data gaps and inequalities in access to data during the pandemic in the global south (Milan and Treré 2020), I further portray gaps in the quality, quantity, and accessibility of two types of government pandemic data: data about the people – the secretive, mass-surveillance data used for infrastructural testing; and data for the people – the public, low-quality, incomputable reports for justifying mass surveillance. Finally, I illustrate these gaps by analyzing four infrastructural dataveillance practices used by the Israeli government in 2020: the repurposing of the Shin-Bet’s anti-terrorism infrastructure for contact tracing; an open-source contact tracing app; the “national index” dashboard that measured city-level compliance with lockdowns, created for the government by behavioral economist Dan Ariely; and the “Philosopher’s Stone” – a plan promoted by the Ministry of Defense to team up with the infamous espionage company NSO, to build an algorithmic system that would rank citizens by a ‘contagiousness risk factor.’

Anat Ben-David is an associate professor in the department of Sociology, Political Science and Communication at the Open University of Israel. She is co-founder of the Open University’s Open Media and Information Lab (OMILab). Her primary research areas are Web history and web archives, Digital STS, critical data studies, and digital and computational methods for Web research.

On the lecture series: “Testing Infrastructures”

From QR codes used to verify COVID-19 vaccination status’ to cloud software used to train machine learning models, infrastructures of testing are proliferating. Whilst the infrastructures themselves come in different forms – from ‘off the shelf’ systems to tailor-made technologies – they all have a capacity to generate specific ‘test situations’ involving an array of different actors from ‘ghost’ workers to python scripts. An increasing reliance on digital platforms, protocols, tools, and procedures has led to a redistribution of testing itself: not just where testing takes place, and who performs the testing, but who has access to, and control over, mechanisms for testing, test protocols and of course, test results. In this lecture series, we focus on the practices making up the test infrastructures and explore different perspectives to make sense of the realities enacted by testing.

We invite our lecture guests to ask: how do testing infrastructures engender the construction of specific testing routines and practices? What kinds of affective experiences, reactions, and responses are generated through testing? Here we invite reflection on how testing infrastructures oft fade into the background, pointing to a tapestry of maintenance and repair practices. Lastly, what are the ways in which we can evaluate the role of digital infrastructures more broadly? This includes the challenge of what novel test methods can be developed and actually ‘tested’ to gain a better understanding of how infrastructures work. Our exploration of test practices in this context is interwoven with the search for test media that bind actors together or create barriers; that enable cooperation or declare it impossible.

Possible questions include (but are not limited to):

  • What are the implications of testing in different social situations and in what moments do they come to the fore? 
  • When and where are tests conducted—for whom and what, through whom and what, and by whom and what actors?
  • What are digital practices for/of testing and with what types of data do testing infrastructures support?
  • What other practices spawn from distributed testing? Think of practices of passing and obfuscation within nested situations of testing and the outsourcing of ‘validation work’ as constructions that govern.
  • What methodological strategies are there to make test procedures and their foundations transparent?
  • Can different politics of testing be distinguished? If so, where and under what conditions?
  • Can we demarcate between embodied testing and disembodied testing?

 

Guests are welcome to register via Mail with ‘Send an E-mail’

Venue

Room AH-A 217/18 of Herrengarten 3, 57072 Siegen
Wed. 13 July 2022, 10:00 -11:30 am
Werkstatt Medienpraxistheorie – "Network Map Making Workshop" – Workshop with Mathieu Jacomy (Aalborg University)
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13 July 2022, 10:00 -11:30 am

This workshop about visual network analysis is open to all publics, with or without experience with the discipline. We will focus on the mechanics of reading a network map, and from there understand how to build them so that they are useful in practice. The workshop is mostly tool-agnostic, but we will use Gephi, a free network visualization tool, as our tool of choice, for those comfortable with it. We will also address the issue of building a narrative about a network, and how to mobilize the multiple layers of mediation involved, and notably the layout algorithm. Finally, we will engage with (and discuss) Gephisto, an experimental tool designed to produce network maps in one click (but with a catch!). This workshop will make it clear what to expect and not to expect of network maps, how to make them well, how to interpret them properly, and how to approach visual network analysis as an operational practice.

 

Mathieu Jacomy is post-doc at the TANT Lab in Copenhagen, and previously was research engineer at the Sciences Po médialab in Paris. Jacomy tweets at @jacomyma

Venue

Herrengarten 3, AH-A 217/18
Tue. 12 July 2022, 6 - 7:30 pm
Werkstatt Medienpraxistheorie – "Reappropriating Visual Network Analysis" – Lecture with Mathieu Jacomy (Aalborg University)
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12 July 2022, 6 - 7:30 pm

Lecture: “Reappropriating Visual Network Analysis”

If the noema of big data visualization is “there is an order to that chaos”, then the study of digital traces calls to unveil the hidden structures of digitized society. Visual network analysis seems to promise such powers: complexity unfolding under your eyes! This begs two different kinds of questions. How does it work? But also: is this what we want to do?
Visual network analysis is already reappropriated in various places, like the teaching class and newsroom. As techniques circulate across fields and cultures, network practices change and get shaped in new ways. It is worth discussing different sides to this circulation. Some regrettable, like reusing network maps as marketing assets without containing their narrative powers, and some admirable, like reinventing the methodological commitments of algorithmic techniques inherited from distant fields. We will deconstruct what we see when we look at networks by exposing the gist of visual network analysis and questioning the notion of “community structure”, too often taken for granted. And finally, we will discuss the purpose and design of the apparatus we use to inquire into the complexity of digital traces.

 

Mathieu Jacomy is post-doc at the TANT Lab in Copenhagen, and previously was research engineer at the Sciences Po médialab in Paris. Jacomy tweets at @jacomyma

Venue

Herrengarten 3, AH-A 217/18
Tue. 12 July 2022, 12:15 - 1:45 pm
Gender & Diversity Lunch with Dr. Simone Pfeifer
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12 July 2022, 12:15 - 1:45 pm

Gender & Diversity with Dr. Simone Pfeifer (Johannes Gutenberg University in Mainz / University of Cologne)

Dr. Simone Pfeifer currently works as a postdoctoral researcher in the DFG Research Training Group 2661: „anschließen-ausschließen – Cultural Dynamics Beyond Globalized Networks“ at the University of Cologne. At the same time she is an associate senior research fellow in the research project “Jihadism on the Internet: Images and Videos, their Appropriation and Dissemination” at the Department of Anthropology and African Studies at the Johannes Gutenberg University in Mainz, Germany. She holds MAs in Social and Cultural Anthropology from the University of Cologne and in Visual Anthropology from the University of Manchester. She completed her PhD at the University of Cologne with a dissertation on the social media practices and transnational everyday lives of Senegalese in Berlin and Dakar. As scientific researcher she was part of the Graduate School “Locating Media”. Simone will talk about her experiences in collaborative research projects, her transition to the postdoc phase, and – as a mother of two children – reconciling family and science.

 

About the series:

The “Gender & Diversity Lunch” series invites all members of the CRC “Media of Cooperation” and “Transformations of the Popular” to an exchange on current topics and issues in the fields of gender equality, diversity and the compatibility of family and science. The goal of the series is to facilitate networking between CRC members and individuals from different fields and with different biographical experiences. A guest on a particular topic is invited to each event. The series is held at lunchtime, including a snack. Suggestions for topics and guests are always welcome.

 

A collaborative format of CRC 1187 & 1472 on equal opportunities

 

Registration via Juliane Biewald (juliane.biewald@student.uni-siegen.de)

Venue

Herrengarten 3, AH-A 228
Wed. 06 July 2022, 2:15 - 4:15 pm
Research Forum - A02: The Culture of Telecommunication Standardisation in the Tensions of the Digital and Neoliberal ‘Double Revolution & Julia Bee
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06 July 2022, 2:15 - 4:15 pm

14:15 – 15:15 Uhr

A02: The Culture of Telecommunication Standardisation in the Tensions of the Digital and Neoliberal ‘Double Revolution

 

15:15 – 16:15 Uhr

Julia Bee (Universität Siegen)

Bicycle Media and Cooperation

Venue

Herrengarten 3, AH-A 217/18
Wed. 06 July 2022, 12 - 2 pm
MGK-Research Colloquium
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06 July 2022, 12 - 2 pm

12:00 – 1:00 pm

Presentation: Yarden Skop

(Dissertation Project: Studying the relationships between platform companies and publishers through the development and deployment of computational tools for content moderation and fact checking)

Discussant: Vesna  Schierbaum

 

1:00 – 2:00pm

Presentation: Clara Fernández de Bobadilla Munoz

(Dissertation Project: Data in crisis: An ethnography of technical practices of/with data during the Covid-19 pandemic)

Discussant: Pip Hare

Mon. 04 July 2022 - Tue. 05 July 2022
Workshop "Rethinking and Rebuilding: Grand Narratives in the History of Computing"
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Monday, 04. - 05 July 2022

This event is prompted by the publication of A New History of Modern Computing by Thomas Haigh and Paul Ceruzzi (MIT Press, 2021), a book that was planned and largely written under the auspices of Siegen University. As the most ambitious scholarly overview history of computing published this century, this book updates the grand narrative of computing history by drawing on new generations of scholarship. Topics such as digital media devices, videogames, home computing, computer networking, smartphones, cloud computing, and the evolution of the IBM PC standard are integrated into the overall story for the first time.

Yet our purpose here is less to celebrate the new book as to ask what it, and its silences, tell us about the potential to tell other stories on a similar scale about computers and their history. The workshop gathers scholars from fields such as media studies, the history of science and mathematics, and the history of AI to ask what a grand narrative of the history of computing might look like if told from other perspectives. What do Haigh and Ceruzzi get right, and what opportunities did they neglect? What topics and chapters would appear if the story was told in a different way? What would be the protagonists and the plots?

The most current program can be found over here

 

Organizers:
Thomas Haigh (University of Wisconsin-Milwaukee & Siegen University)
Sebastian Giessmann (Siegen University)

Venue

Room 217/18 of Herrengarten 3, 57072 Siegen and online

Contact

Sebastian Giessmann
giessmann@medienwissenschaft.uni-siegen.de
Permalink
Wed. 29 June 2022, 2:15 - 4 pm
Lecture Series: "Testing Infrastructures" – Beth Semel (MIT / Language and Technology Lab): “Can You Hear Me Now? Sanity Tests and Screening Difference in Machine Listening for Mental Health Care”
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29 June 2022, 2:15 - 4 pm

Can You Hear Me Now? Sanity Tests and Screening Difference in Machine Listening for Mental Health Care

In the United States, growing numbers of psychiatric and engineering professionals collaborate in attempts to build automated systems that conduct mental health screening based on the sounds of the voice alone. These “vocal biomarker” detection technologies propose to turn any utterance into clinically significant data, regardless of a speaker’s knowledge or interpretations of their psychological status. Dominant discourses surrounding these efforts frame the auditory superiority of artificial intelligence (AI) as key to unlocking a more efficient and equitable future for psychiatric medicine. They often describe AI as a “stethoscope” or “thermometer” for mental illness, implying a straightforwardly biological and quantitative measure detached from the sociocultural and political dimensions of the clinical encounter.

This talk explores the “sanity test”—a computer science term for assessing the desired functionality, i.e. “rationality,” of a model—as an alternative analogy for vocal biomarker systems that more aptly conveys the normative logics, social effects, and matrices of domination embedded within them. Drawing from ethnographic fieldwork with technologists and human test subjects whose sensory practices and voices shape how various vocal biomarker technologies will listen, I show that the boundary between “ill” and “well” bodies and subjects is in constant, contested flux throughout the design process.

 

Dr. Beth Semel is an incoming Assistant Professor of Anthropology at Princeton University. Her ethnographic research combines linguistic anthropology, science and technology studies, disability studies, and sound studies to explore the sociopolitical life of automated voice analysis, focusing on efforts to integrate these AI-enabled technologies into the U.S. mental health care system. She is currently a postdoctoral associate in Anthropology at the Massachusetts Institute of Technology, where she received her PhD in History, Anthropology Science, Technology and Society (HASTS). She is also the co-founder and associate director of the Language and Technology Lab.

 

On the lecture series: “Testing Infrastructures”

From QR codes used to verify COVID-19 vaccination status’ to cloud software used to train machine learning models, infrastructures of testing are proliferating. Whilst the infrastructures themselves come in different forms – from ‘off the shelf’ systems to tailor-made technologies – they all have a capacity to generate specific ‘test situations’ involving an array of different actors from ‘ghost’ workers to python scripts. An increasing reliance on digital platforms, protocols, tools, and procedures has led to a redistribution of testing itself: not just where testing takes place, and who performs the testing, but who has access to, and control over, mechanisms for testing, test protocols and of course, test results. In this lecture series, we focus on the practices making up the test infrastructures and explore different perspectives to make sense of the realities enacted by testing.

We invite our lecture guests to ask: how do testing infrastructures engender the construction of specific testing routines and practices? What kinds of affective experiences, reactions, and responses are generated through testing? Here we invite reflection on how testing infrastructures oft fade into the background, pointing to a tapestry of maintenance and repair practices. Lastly, what are the ways in which we can evaluate the role of digital infrastructures more broadly? This includes the challenge of what novel test methods can be developed and actually ‘tested’ to gain a better understanding of how infrastructures work. Our exploration of test practices in this context is interwoven with the search for test media that bind actors together or create barriers; that enable cooperation or declare it impossible.

Possible questions include (but are not limited to):

  • What are the implications of testing in different social situations and in what moments do they come to the fore? 
  • When and where are tests conducted—for whom and what, through whom and what, and by whom and what actors?
  • What are digital practices for/of testing and with what types of data do testing infrastructures support?
  • What other practices spawn from distributed testing? Think of practices of passing and obfuscation within nested situations of testing and the outsourcing of ‘validation work’ as constructions that govern.
  • What methodological strategies are there to make test procedures and their foundations transparent?
  • Can different politics of testing be distinguished? If so, where and under what conditions?
  • Can we demarcate between embodied testing and disembodied testing?

 

Guests are welcome to register via Mail with ‘Send an E-mail’

Venue

Online-Event