Im Topologischen Manifest sind die Ergebnisse des Forschungsprojekts „Topologie der Technik“ auf prägnante Weise dargelegt. Der spatial turn analysierte die Produktion des Raumes durch soziale Praktiken, jedoch ohne die Einbettung jener Praktiken in technische Systeme zu berücksichtigen. Angesichts der Bedeutung technisierter Räume für das heutige Leben ist dieser Mangel akut. In diesem Band sind neben dem Manifest Beiträge aus verschiedenen Disziplinen versammelt, um Möglichkeiten und Grenzen einer Topologie der Technik auszuloten. Ausgehend von einem modalen Machtbegriff wird nach technogener Formation und (...) Transformation von Räumen gefragt, nach der Konzeptionalisierung relationaler Räume als Struktur- oder Netzphänomenen und der Rolle von Imagination für raumbildende Prozesse. Der InhaltDie interdisziplinären Beiträge gruppieren und positionieren sich um und auf unterschiedliche Weise zum Topologischen Manifest sowie den darin niedergelegten Raumthesen und -typen. Sie reichen von raumtheoretischen Überlegungen und den Besonderheiten relationaler Räume über historische und praxeologische Abhandlungen zur Performanz von Orten bis hin zur Analyse spezifischer Räume wie virtuellen und textuellen Räumen, Sicherheits- und Möglichkeitsräumen oder der Kryosphäre. Die Autorinnen und Autoren erforschen Praktiken, Dynamiken und Zustandsbedingungen im Beziehungsgefüge zwischen Technik, Macht und Raum. Die ZielgruppenForschende auf den Gebieten der Raum- und Technikphilosophie, -soziologie, -geschichte sowie alle interessierten Wissenschaftlerinnen und Wissenschaftler Die HerausgeberDie Herausgeberinnen und Herausgeber sind Doktorandinnen und Doktoranden im Forschungsprojekt „Topologie der Technik“ in Darmstadt. (shrink)

Diffusions in Architecture: Artificial Intelligence and Image Generators delves into the impact of Diffusion AI algorithms and generative image models on architecture design and aesthetics. The book presents an in-depth analysis of how these new technologies are revolutionizing the field of architecture. The architects presented in the book focus on the application of specific AI techniques and tools used in generative design, such as Diffusion models, Dall-E2, Stable Diffusion, and MidJourney. It discusses how these techniques can generate synthetic images that (...) are both realistic and imaginative, creating new possibilities for architectural design and aesthetics. This comprehensive overview of the impact of Diffusion AI algorithms and generative image models on the field of architecture shows how they are changing the way architects approach their work. With a foreword by Lev Manovich—artist, writer and one of the world's most influential digital culture theorists. Sharing the work and insights of a team of designers and theorists from a range of backgrounds, offering disciplinary depth, and covering the full impact of these tools and models on architecture, Diffusions in Architecture includes information on: Fresh perspectives on design and aesthetics, with designs, images, and commentary from 22 leading architects, theorists, and designersThe potential of prompt engineering and text-to-image models applicable to a broad interdisciplinary audienceWhether image generators, or AI in general, will be an aid for human design, or potentially displace humans from the market fundamentals of a larger debate in the architectural discourse (and practice) on the use of image generatorsCollecting the different ideas that have emerged in the field, Diffusions in Architecture provides architects, designers, concept artists, and theorists with an overview of this cornucopia of architectural imaginations produced in a common effort between humans and artificial intelligence. (shrink)

Diversity of social identities can improve the performance of groups through varied cognitive and communicative pathways. Recently, research efforts have focused on identifying when we should expect to see these potential benefits in real-world settings. While most research to date has studied this topic at individual and interpersonal levels, in this paper, we develop an agent-based model to explore how various aspects of homophily, the tendency of individuals to associate with similar others, affects performance at a larger scale. Study 1 (...) examines how two types of homophily---identity-driven and opinion-driven---impact collective performance on a sequential decision-making task via modulating network formation and trust relations. Study 2 considers how the presence of identity-based conformity pressure can affect the findings from the first study. Overall, we find that the effect of homophily on performance is complex, depending on the operative dimensions of similarity, mediating pathways, and the specific outcome of interest. Finally, we discuss the implications of our results for policy interventions aiming to improve group performance. (shrink)

Self-disclosures on online social networks have received increased attention in the last two decades. Researchers from different disciplines investigated manifold influencing variables, and studies applied different theories to explain why many users share very sensitive and personal information despite potential risks and negative consequences, whereas others do not. Oftentimes, it is argued that self-disclosure decisions result from a kind of rational “calculus” of risks and benefits. However, such an assumption of rationality can and has been criticized. Nevertheless, fundamental cognitive and (...) affective mechanisms that underlie self-disclosure decision making on social networks are still under-explored. By building upon previous self-disclosure theories and models, dual-and tripartite-system perspectives of decision making, and former empirical findings, we propose a Tripartite Self-Disclosure Decision model that conceptualizes inner processes of online self-disclosure decision making. Central to this model is the proposed interaction of three neural and cognitive/affective systems: a reflective, an impulsive, and an interoceptive system. We further highlight individual and environmental features, which can impact individuals’ online self-disclosure decisions by influencing the proposed inner decision-making processes targeting the aforementioned three systems. Possible short- and long-term consequences are also discussed, which in turn can affect certain model components in subsequent self-disclosure decision situations. By taking such a neurocognitive perspective, we expand current research and models, which helps to better understand potentially risky information sharing on online social networks and can support attempts to prevent users from incautious self-disclosures. (shrink)

How do social factors affect group learning in diverse populations? Evidence from cognitive science gives us some insight into this question, but is generally limited to showing how social factors play out in small groups over short time periods. To study larger groups and longer time periods, we argue that we can combine evidence about social factors from cognitive science with agent-based models of group learning. In this vein, we demonstrate the usefulness of idealized models of inquiry, in which the (...) assumption of Bayesian agents is used to isolate and explore the impact of social factors. We show that whether a certain social factor is beneficial to the community’s epistemic aims depends on its particular manifestation by focusing on the impacts of homophily – the tendency of individuals to associate with similar others – on group inquiry. (shrink)

Machine learning algorithms are increasingly used to shape high-stake allocations, sparking research efforts to orient algorithm design towards ideals of justice and fairness. In this research on algorithmic fairness, normative theorizing has primarily focused on identification of “ideally fair” target states. In this paper, we argue that this preoccupation with target states in abstraction from the situated dynamics of deployment is misguided. We propose a framework that takes dynamic trajectories as direct objects of moral appraisal, highlighting three respects in which (...) such trajectories can be subject to evaluation in relation to their temporal dynamics, robustness, and representation. (shrink)

Data‐driven algorithms are widely used to make or assist decisions in sensitive domains, including healthcare, social services, education, hiring, and criminal justice. In various cases, such algorithms have preserved or even exacerbated biases against vulnerable communities, sparking a vibrant field of research focused on so‐called algorithmic biases. This research includes work on identification, diagnosis, and response to biases in algorithm‐based decision‐making. This paper aims to facilitate the application of philosophical analysis to these contested issues by providing an overview of three (...) key topics: What is algorithmic bias? Why and how can it occur? What can and should be done about it? Throughout, we highlight connections—both actual and potential—with philosophical ideas and concerns. (shrink)

Previous simulation models have found positive effects of cognitive diversity on group performance, but have not explored effects of diversity in demographics (e.g., gender, ethnicity). In this paper, we present an agent-based model that captures two empirically supported hypotheses about how demographic diversity can improve group performance. The results of our simulations suggest that, even when social identities are not associated with distinctive task-related cognitive resources, demographic diversity can, in certain circumstances, benefit collective performance by counteracting two types of conformity (...) that can arise in homogeneous groups: those relating to group-based trust and those connected to normative expectations towards in-groups. (shrink)

Populism is on the rise, especially in Western Europe. While it is often assumed that populist actors have a tendency for fallacious reasoning, this has not been systematically investigated. We analyze the use of informal fallacies by right-wing populist politicians and their representation in the media during election campaigns. We conduct a quantitative content analysis of press releases of right-wing populist parties and news articles in print media during the most recent elections in the United Kingdom and Switzerland in 2015. (...) The results show that fallacies are used in more than a third of all analyzed texts and overwhelmingly co-occur with populist key messages. Moreover, fallacies occur more often in populist parties’ press releases than in news articles and are more common in Switzerland compared to the United Kingdom. This study confirms the argument that populist actors use fallacies in combination with populist claims. (shrink)

Community resilience entails the community’s ongoing and developing capacity to account for its vulnerabilities and function amid and recover from disturbance. A holistic and systematic approach of the community on how it uses material and energy resources or how a society educates the members' overtime is required to learn from the past and adapt to the present and future opportunities and threads. Community resilience has a long history in the local communities, which is embedded in their culture and history around (...) shared values and local knowledge based on a dedicated and robust collaboration among diverse groups of the community and the various actors from different backgrounds. The innovative partnership between various actors such as stakeholders, research entities, local communities, and third sector parties is required to overcome the complexities of resiliency building. Using local knowledge to understand the local needs better is crucial in developing local, sustainable solutions and building community resilience over time. (shrink)

The research discussed in this paper centers around the convergence of extended reality (XR) platforms, computational design, digital fabrication, and critical urban study practices. Its aim is to cultivate interdisciplinary and multiscalar approaches within these domains. The research endeavor represents a collaborative effort between two primary disciplines: critical urban studies, which prioritize socio-environmental justice, and integrated digital design to production, which emphasize the realization of volumetric or voxel-based structural systems. Moreover, the exploration encompasses augmented reality to assess its utilization in (...) both the assembly process of the structures and the integration of phygital (physical and digital) data with the physical environment. Within the context of these research scopes, this paper introduces FabriCity-XR as an interactive phygital installation. In addition to presenting an overview of the integrated research driven and performative design to production methodologies, the project showcases the practical implementation of web-based augmented reality trails, eliminating the requirement for external applications for interaction. This approach allows users to seamlessly navigate and engage with phygital content overlaid on physical objects using their personal smart devices. The result is a captivating and immersive user experience that effectively merges the physical and digital realms. (shrink)

This paper examines two prominent formal trade-offs in artificial intelligence (AI)---between predictive accuracy and fairness, and between predictive accuracy and interpretability. These trade-offs have become a central focus in normative and regulatory discussions as policymakers seek to understand the value tensions that can arise in the social adoption of AI tools. The prevailing interpretation views these formal trade-offs as directly corresponding to tensions between underlying social values, implying unavoidable conflicts between those social objectives. In this paper, I challenge that prevalent (...) interpretation by introducing a sociotechnical approach to examining the value implications of trade-offs. After providing a set-theoretic understanding of these model trade-offs, I argue that their implications cannot be understood in isolation from the technical, psychological, organizational, and social factors that shape the integration of AI models into decision-making pipelines. Specifically, I identify three key considerations---validity and instrumental relevance, compositionality, and dynamics---for contextualizing and characterizing these implications. These considerations reveal that the relationship between model trade-offs and corresponding values depends on critical choices and assumptions. Crucially, judicious sacrifices in one model property for another can, in fact, promote both sets of corresponding values. The proposed sociotechnical perspective thus shows that we can and should aspire to higher epistemic and ethical possibilities than the prevalent interpretation suggests, while offering practical guidance for achieving those outcomes. Finally, I draw out the broader implications of this perspective for AI design and governance, highlighting the need to broaden normative engagement across the AI lifecycle, develop legal and auditing tools sensitive to sociotechnical considerations, and rethink the vital role and appropriate structure of interdisciplinary collaboration in fostering a responsible AI workforce. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Judith Butler’s “New Humanism”A Thing or Not a Thing, and So What?Sina KramerA few thinkers in the last few years, such as Stefan Dolgert and Miriam Leonard, but especially political theorist Bonnie Honig, have argued that Judith Butler’s most recent work (Antigone’s Claim, 2000; Undoing Gender, 2004; Precarious Life, 2005; Frames of War, 2009) institutes a new form of humanism, based on the universality of grief, mourning, vulnerability, (...) and precariousness that Butler describes in these texts. These critiques call into question an incipient foundationalism in the feminist political theory Butler produces in these texts, one seemingly at odds with her previous antifoundationalist commitments. In this article I will argue that, while these critiques oversimplify the relationship between politics and ethics or politics and ontology in their critique of Butler’s new mortalist humanism, the problem of the relation of politics to ethics or ontology—or, more exactly, the problem of the relation of politics to its outside, or to its conditions—remains nevertheless a real problem in Butler’s work. This is because, without a clear account of a method of rendering foundations contingent, or of rendering ontologies provisional, we tend to repeat the political move to establish an apolitical ground on which we can found a politic. This foundationalist move thus shields that ground from political critique and transformation—a move that Butler herself has done so much work to expose and displace.In this article, I ask whether feminist theory must repeat a recourse to foundations by examining the charge that Butler does so her in most recent work. The article will proceed as follows: in the first section, I examine the [End Page 25] charge that Butler is instituting a new humanism. In the second section, I look at some of Butler’s discussion of humanism, and look more closely at the relation between ethics and politics the question of humanism opens up in her work. In the third, I explore whether or not the charge that Butler is instituting a new humanism is correct. And in the fourth, I question what is at stake in this charge. Essentially, the article asks of this new humanist charge: Is this a thing or not a thing, and so what? I argue that, while the charge is somewhat overdetermined, it does point to a larger problem in Butler’s work, and that is the recourse to foundations, or to gesturing to an outside of or beyond of politics as the condition for altering political conditions. I will conclude by arguing that a greater attention to method can help to avoid the reification of the distinction between politics and its conditions that leads to the recourse of foundations.Butler’s New Mortalist HumanismIn her 2010 article “Antigone’s Two Laws: Tragedy and the Politics of Humanism”—as well as in her 2013 book Antigone, Interrupted—Bonnie Honig argues that Butler’s ethical turn institutes a new mortalist humanism, predicated on the “ontological fact of mortality, not the capacity to reason but the vulnerability to suffering” (Honig 2010, 1). She differentiates this new mortalist humanism, which she also diagnoses in the work of Nicole Loraux and Stephen White, from earlier rationalist forms of humanism that are based on the universal principle of human rationality, and from forms of antihumanism based on the “signs of a monstrous, dehumanizing animality” (Honig 2010, 3). Either form is problematic, Honig argues, insofar as they both seek to settle essentially political questions by recourse to a position beyond politics: through a stable and recognizably human figure who either secures its belonging to the polity by means of its rationality, or an exclusion rendered through the dehumanization of otherwise ostensibly human figures.This new mortalist humanism Honig diagnoses in Butler’s recent work falls into the same problem: in this version, Butler settles political questions by recourse to a principle of mortality, or the universal experience of mourning. This would seem to be contrary to Butler’s earlier commitments to a radical critique of foundationalism, especially in her famous critique of the naturalization of sex as the grounds for a political understanding of gender. This is... (shrink)

The 2023 edition of the Venice Architecture Biennial Time Space Existence will draw attention to the emerging expressions of sustainability in their numerous forms, ranging from a focus on the environment and urban landscape to the unfolding conversations on innovation, reuse, community, and inclusion. In response to climate change, exhibited projects will investigate new technologies and construction methods that reduce energy consumption through circular design and develop innovative, organic, and recycled building materials. Participants will also address social justice by presenting (...) living solutions envisioned for displaced communities and minorities, while others will examine the tensions between the built urban environment and the nature surrounding it, identifying opportunities for coexistence. Time Space Existence not only aims to be a display but also a living workshop where established and emerging practitioners can work together and present their own visions of the status of architecture and the built environment nowadays. By bringing together ideas from across the world, the exhibition presents itself as a platform for exchange and experimentation and strives to stimulate an engaging dialogue that is inclusive of all voices. (shrink)

In this essay an attempt is made to transcend the divide between realists and anti-realists in the philosophy of history by proposing an alternative account of understanding the past, one based on the nature of testimonies, specifically theirscopeanddepth. This is done through a critical engagement with the works of prominent realist and anti-realist philosophers of history ; other philosophers working on relevant topics such as epistemology, and historians who have written on historical method. The alternative account thus developed is then (...) tested by applying it to the case of theHistorikerstreit, the bitterly waged historian's struggle concerning the history and legacy of Nazism. On the surface it appears to affirm the anti-realist position that posits historical narratives as being inherently normative/aesthetic given the inadequacies of the ‘thick’ realist position, but upon closer scrutiny it demonstrates the merit of my alternative, testimony-based ‘thin’ realist account. (shrink)

Inspired by recent breakthroughs in predictive modeling, practitioners in both industry and government have turned to machine learning with hopes of operationalizing predictions to drive automated decisions. Unfortunately, many social desiderata concerning consequential decisions, such as justice or fairness, have no natural formulation within a purely predictive framework. In efforts to mitigate these problems, researchers have proposed a variety of metrics for quantifying deviations from various statistical parities that we might expect to observe in a fair world and offered a (...) variety of algorithms in attempts to satisfy subsets of these parities or to trade o the degree to which they are satised against utility. In this paper, we connect this approach to fair machine learning to the literature on ideal and non-ideal methodological approaches in political philosophy. The ideal approach requires positing the principles according to which a just world would operate. In the most straightforward application of ideal theory, one supports a proposed policy by arguing that it closes a discrepancy between the real and the perfectly just world. However, by failing to account for the mechanisms by which our non-ideal world arose, the responsibilities of various decision-makers, and the impacts of proposed policies, naive applications of ideal thinking can lead to misguided interventions. In this paper, we demonstrate a connection between the fair machine learning literature and the ideal approach in political philosophy, and argue that the increasingly apparent shortcomings of proposed fair machine learning algorithms reflect broader troubles faced by the ideal approach. We conclude with a critical discussion of the harms of misguided solutions, a reinterpretation of impossibility results, and directions for future research. (shrink)

Contemporary economic analysts of the law argue that certain legal institutions, such as contract law, ought to be designed to promote wealth maximization, while different legal institutions ought to seek to achieve non-wealth maximizing aims, such as distributive justice. In order to preserve the normative claim that the sole aim of any single legal institution should be the promotion of wealth maximization, economists rely on the “specialization principle”: each legal institution must be organized around a single normative criterion, partitioned from (...) and without regard to the normative aims of other legal institutions. I argue that this idea of a strict normative division of labour between institutions is problematic. On any instrumentalist view, the normative justification of the ends of a particular legal institution cannot ignore the normative aims of the legal system of which it is a part. I develop this argument by critically examining the economic analyst’s claim that commercial contract law should be limited to helping firms maximize profit. (shrink)

This paper defends JN Keynes’s argument that normative economics can be objective. It begins by exploring Keynes’s view on the positive/normative distinction in economics. After discussing its originality and advantages, the paper recognizes that the Keynesian distinction does not explain the exact nature of the relationship between positive and normative economics. Thus, it tries to improve Keynes’s position using Popper’s contributions to economics. It shows that for Popper, advances in normative social science are the main steppingstone to resolving disagreements over (...) the choice of the norms underlying the reform of social situations. The final two parts of the paper draw on the contributions of Keynes and Popper to the study of norms to explain why normative economics can more easily approach objectivity by concentrating on highly delimited topics. The last part relies on Popper’s concept of avoidable unhappiness to offer one method of restraining the tasks of normative economics. (shrink)

Materialization practices in the architecture and building industry have evolved with the advancement of manufacturing and information technologies. This evolution is evident across various design and production phases, with a pronounced impact on prototyping. Advances in design and fabrication tools have empowered prototypes, integral in any production cycle, to furnish a growing array of information and feedback for designers and manufacturers. In this context, prototypes have transformed from merely showcasing data-driven building solutions to presenting socio-environmentally conscious systems. Innovation in prototyping (...) connects the initial design and construction stages to the operational phase, creating a seamless transition throughout the project lifecycle. This chapter provides a range of definitions and prototypical case studies for smart prototyping by identifying practiced approaches in integrated design to production workflows. This chapter introduces three paradigms for smart prototyping: Digital prototyping focuses on data-driven design for mass customization, phygital prototyping involves mixed-reality-enabled design and assembly, and thirdly collaborative prototyping explores human-machine hybrid intelligence and co-production in architectural and urban contexts. The chosen case studies in this chapter and how they are categorized aim to provide a comprehensive overview of smart prototyping, covering projects conducted in both research and practice. This chapter concludes with potential future trends and the role of emerging and evolving mediums of prototyping for smart design and construction. (shrink)

The following work represents the extension of a debate that began in July of 2009. The authors felt it useful to commit to document their exchanges, and questions for one another, over the issues of building the Left project in the international context, where are the subjects to be found for alternative political projects, how are we to interpret the Iranian protest movement, and whether it is possible to resuscitate Marxism for our age.

Die Entwicklung einer „personalisierten Medizin“ ist zurzeit in aller Munde. Insbesondere die personalisierte Arzneimitteltherapie gewinnt infolge der pharmakologischen und molekulargenetischen Entwicklungen immer mehr an Bedeutung. Dies macht es erforderlich, die Auswirkungen der personalisierten Arzneimitteltherapie auf die gesetzliche Krankenversicherung (GKV) und die Patientenversorgung zu untersuchen. In diesem Zusammenhang stellt sich die Frage nach einer „Orphanisierung“: Könnten Arzneimittel der personalisierten Medizin regelmäßig als Orphan Drugs, also als Arzneimittel für seltene Leiden, ausgewiesen werden, würde für sie nach dem Arzneimittelneuordnungsgesetz (AMNOG) grundsätzlich kein Nachweis (...) des Zusatznutzens im Rahmen der vom Gemeinsamen Bundesausschuss (GBA) vorzunehmenden frühen Nutzenbewertung erforderlich werden. Entscheidend für die Ausweisung des Arzneimittels als Orphan Drug ist unter anderem die Prävalenzrate der Patientengruppe, deren Erkrankung mit dem Arzneimittel behandelt werden soll. In diesem Zusammenhang kommt der Stratifizierung von Patientengruppen im Rahmen der personalisierten Arzneimitteltherapie eine besondere Bedeutung zu. Eine solche „Orphanisierung“ hätte für die GKV wegen der mangelnden Kenntnis von dem Zusatznutzen des Arzneimittels insbesondere preisrechtliche Konsequenzen; für die Patienten sind die Folgen durchaus differenzierter zu betrachten. (shrink)

This paper examines two prominent formal trade-offs in artificial intelligence (AI)---between predictive accuracy and fairness, and between predictive accuracy and interpretability. These trade-offs have become a central focus in normative and regulatory discussions as policymakers seek to understand the value tensions that can arise in the social adoption of AI tools. The prevailing interpretation views these formal trade-offs as directly corresponding to tensions between underlying social values, implying unavoidable conflicts between those social objectives. In this paper, I challenge that prevalent (...) interpretation by introducing a sociotechnical approach to examining the value implications of trade-offs. After providing a set-theoretic understanding of these model trade-offs, I argue that their implications cannot be understood in isolation from the technical, psychological, organizational, and social factors that shape the integration of AI models into decision-making pipelines. Specifically, I identify three key considerations---validity and instrumental relevance, compositionality, and dynamics---for contextualizing and characterizing these implications. These considerations reveal that the relationship between model trade-offs and corresponding values depends on critical choices and assumptions. Crucially, judicious sacrifices in one model property for another can, in fact, promote both sets of corresponding values. The proposed sociotechnical perspective thus shows that we can and should aspire to higher epistemic and ethical possibilities than the prevalent interpretation suggests, while offering practical guidance for achieving those outcomes. Finally, I draw out the broader implications of this perspective for AI design and governance, highlighting the need to broaden normative engagement across the AI lifecycle, develop legal and auditing tools sensitive to sociotechnical considerations, and rethink the vital role and appropriate structure of interdisciplinary collaboration in fostering a responsible AI workforce. (shrink)