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Genealogía impensada del republicanismo
No full textEste ensayo propone una genealogía alternativa del republicanismo moderno que desborda el marco eurocéntrico establecido por la Escuela de Cambridge. En lugar de concebir las ideas republicanas como un legado exclusivo de la tradición grecorromana y renacentista, el autor argumenta que dichas ideas emergieron del contacto colonial entre europeos y pueblos indígenas de América. A través del análisis de pensadores como Hobbes, Rousseau y Franklin, así como del diálogo entre colonos e intelectuales indígenas como Kondiaronk o Canassatego, se plantea que el pensamiento político de la modernidad europea se construyó a partir de una apropiación —y simultáneo silenciamiento— del archivo colonial. En este sentido, el republicanismo debe comprenderse como un fenómeno transmoderno, resultado de procesos de transculturación y diálogo intercultural que articularon prácticas políticas indígenas con las teorías ilustradas europeas. La tesis del analisis propuesta por Castro Gomez es que la crítica contemporánea al eurocentrismo, por tanto, requiere reconocer las raíces americanas del republicanismo moderno
OpenAlex im Kompetenznetzwerk Bibliometrie
Full text linkNachdem es über Jahrzehnte hinweg die proprietären Datenbanken Web of Science und Scopus waren, die für bibliometrische Analysen herangezogen wurde, ist mit OpenAlex eine interessante, für jedermann frei zugängliche und nutzbare Alternative entstanden. Ebenso wie eine Vielzahl anderer Akteure weltweit hat auch das BMBF-geförderte Kompetenzzentrum Bibliometrie das Potential der Datenbanken erkannt und fördert nun ein Projekt zur Kuratierung von Daten, die unter Beteiligung deutscher Institutionen entstanden sind. Der Vortrag führt in OpenAlex ein und gibt eine Übersicht über den Stand des Vorhabens
Das DFG-Förderprogramm „Open-Access-Publikationskosten“ an der Universitätsbibliothek Bielefeld
Full text linkDas Förderprogramm „Open-Access-Publikationskosten“ der Deutschen Forschungsgemeinschaft im Bereich „Wissenschaftliche Literaturversorgungs- und Informationssysteme (LIS)“ zielt auf eine strukturelle Verankerung der Finanzierung des Open-Access-Publizierens an deutschen Hochschul- und Forschungseinrichtungen. Dazu können Einrichtung zentral Mittel als feste Zuschüsse zu Publikationskosten beantragen. Begleitend sollen in einem Arbeitsprogramm strukturelle Anpassungen an Workflows, Budgetverteilungsmodellen und beratenden Services umgesetzt werden. Der Vortrag führt in die Genese und die Ausgestaltung des Förderprogramms ein und gibt eine Übersicht über den Stand des Vorhabens an der Universität Bielefeld
Bioinspired Decentralized Hexapod Control with a Graph Neural Network
Full text linkLegged locomotion enables animals to navigate challenging terrains. However, it demands intricate coordination between the legs, with varying levels of information exchange depending on the task. For instance, in more demanding scenarios such as an insect climbing on a twig, greater coordination between the legs is necessary to achieve adaptive behavior. To address this challenge for legged robots, we present a concept and preliminary results of a decentralized biologically inspired controller for a hexapod robot: Based on insights of coordination influences between legs in stick insects, our approach models inter-leg information flow as message passing through a Graph Neural Network
Trustworthy Virtual Measurements in Battery Manufacturing
Full text linkThe growing demand for electric cars necessitates an increase in battery production efficiency and cost-effectiveness. Through a reduction of the joint testing efforts an increase of productivity can be accomplished. To achieve the reduction, remain on a high level of quality standards and increase the informational content about current production the use of virtual measurements is examined. Ensuring the trustworthiness of virtual measurements is crucial for informed decision making, necessitating validation. This paper explores the requirements and challenges in battery manufacturing for implementing trustworthy virtual measurements. Two central requirements are identified to enable virtual measurements. Firstly, a traceability system based on the production meta-model is needed to track process parameters and quality characteristics. Secondly, a framework is proposed to facilitate reliable virtual measurements. The primary challenge for virtual measurement in battery manufacturing systems from the complexity of the process chain and products. It is crucial to assess how virtual measurements perform across various processes and to evaluate their transferability to different process parameters and products
Dueling Bandits with Delayed Feedback
Full text linkDueling Bandits is a well-studied extension of the Multi-Armed Bandits problem, in which the learner must select two arms in each time step and receives a binary feedback as an outcome of the chosen duel. However, all of the existing best arm identification algorithms for the Dueling Bandits setting assume that the feedback can be observed immediately after selecting the two arms. If this is not the case, the algorithms simply do nothing and wait until the feedback of the recent duel can be observed, which is a waste of runtime. We propose an algorithm that can already start a new duel even if the previous one is not finished and thus is much more time efficient. Our arm selection strategy balances the expected information gain of the chosen duel and the expected delay until we observe the feedback. By theoretically grounded confidence bounds we can ensure that the arms we discard are not the best arms with high probability
Leveraging Desirable and Undesirable Event Logs in Process Mining Tasks
Full text linkTraditional process mining techniques utilize one event log as input to offer organizational insights. In many applications, information regarding undesirable process aspects may exist. However, the literature lacks a comprehensive overview of their integration into process mining tasks. In our paper, we explore leveraging data from both desirable and undesirable event logs to augment existing process mining tasks and develop innovative applications. Our aim is to systematically outline the potential for enhancements in this realm
Feeling Socially Excluded When Working With Robots
Full text linkWork is not just about money, but also about satisfying social needs. We examine processes of social inclusion and exclusion among human employees and robot employees. For our current study, we chose the restaurant industry as a contemporary use case where humans and robots work together as waiters. We assume that social exclusion from either human or robot colleagues will threaten people’s needs (i.e., belonging, control, meaningful existence, self-esteem) but will be interpreted differently depending on the excluding agent (i.e., human colleague or robot colleague). Assuming different attribution processes challenges the “Computers Are Social Actors” theory and could lead the rethinking human-robot interactions or even humans interacting with technology in general
Kostentransparenz als zentraler Baustein der Open-Access-Transformation : Ergebnisse des openCost-Projekts
Full text linkFinanzielle Transparenz als Instrument der Kostenkontrolle und Steuerung ist ein wesentlicher Baustein im Rahmen der Open-Access-Transformation. Das Projekt „openCost“ (DFG-Projektnummer 457354095) setzt genau dort an mit dem Ziel, eine technische Infrastruktur zu schaffen, mit der Publikationskosten über standardisierte Schnittstellen und Formate zugänglich gemacht und ausgetauscht werden können.
Der Vortrag stellt die Ergebnisse der ersten Projektphase vor mit einem Fokus auf das entwickelte openCost-Metadatenschema für die Speicherung und den Austausch von Kostendaten, das sowohl Informationen zu gebührenpflichtigen Einzelartikeln als auch zu Verträgen und Mitgliedschaften abdeckt. Daran anschließend blicken wir auf die Änderungen und Erweiterungen unserer Bielefelder Services „PUB“ und „OpenAPC“, die ganz konkret im Rahmen des openCost-Projekts entwickelt und implementiert wurden
Comparing Shapley Value Approximation Methods for Unsupervised Feature Importance
Full text linkAssigning importance scores to features is a common approach to gain insights about a prediction model’s behavior or even the data itself. Beyond explainability, such scores can also be of utility to conduct feature selection and make unlabeled high-dimensional data manageable. One way to derive scores is by adopting a game-theoretical view in which features are understood as agents that can form groups and cooperate for which they obtain a reward. Splitting the reward among the features appropriately yields the desired scores. The Shapley value is the most popular reward sharing solution. However, its exponential complexity renders it inapplicable for high-dimensional data unless an efficient approximation is available. We empirically compare selected approximation algorithms for quantifying feature importance on unlabeled data