TY - JOUR AB - Academics may actively respond to the expectations of the academic status market, which have largely been shaped by the World University Rankings (WURs). This study empirically examines how academics’ citation patterns have changed in response to the rise of an “evaluation environment” in academia. We regard the WURs to be a macro-level trigger for cementing a bibliometric-based evaluation environment in academia. Our analyses of citation patterns in papers published in two higher education journals explicitly considered three distinct periods: the pre-WURs (1990–2003), the period of WURs implementation (2004–2010), and the period of adaption to WURs (2011–2017). We applied the nonparametric Kaplan–Meier method to compare first-citation speeds of papers published across the three periods. We found that not only has first-citation speed become faster, but first-citation probability has also increased following the emergence of the WURs. Applying Cox proportional hazard models to first-citation probabilities, we identified journal impact factors and third-party funding as factors influencing first-citation probability, while other author- and paper-related factors showed limited effects. We also found that the general effects of different factors on first-citation speeds have changed with the emergence of the WURs. The findings expand our understanding of the citation patterns of academics in the rise of WURs and provide practical grounds for research policy as well as higher education policy. AU - Lee, Soo Jeung AU - Schneijderberg, Christian AU - Kim, Yangson AU - Steinhardt, Isabel ID - 33372 IS - 17 JF - Sustainability KW - world university rankings KW - citation KW - first-citation speed KW - Minerva KW - Studies in Higher Education SN - 2071-1050 TI - Have Academics’ Citation Patterns Changed in Response to the Rise of World University Rankings? A Test Using First-Citation Speeds VL - 13 ER - TY - CONF AU - Zahera, Hamada Mohamed Abdelsamee AU - Heindorf, Stefan AU - Ngonga Ngomo, Axel-Cyrille ID - 29291 T2 - Proceedings of the 11th on Knowledge Capture Conference TI - ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs ER - TY - CHAP AU - Feldhans, Robert AU - Wilke, Adrian AU - Heindorf, Stefan AU - Shaker, Mohammad Hossein AU - Hammer, Barbara AU - Ngonga Ngomo, Axel-Cyrille AU - Hüllermeier, Eyke ID - 29292 SN - 0302-9743 T2 - Intelligent Data Engineering and Automated Learning – IDEAL 2021 TI - Drift Detection in Text Data with Document Embeddings ER - TY - CONF AB - Knowledge graph embedding research has mainly focused on the two smallest normed division algebras, $\mathbb{R}$ and $\mathbb{C}$. Recent results suggest that trilinear products of quaternion-valued embeddings can be a more effective means to tackle link prediction. In addition, models based on convolutions on real-valued embeddings often yield state-of-the-art results for link prediction. In this paper, we investigate a composition of convolution operations with hypercomplex multiplications. We propose the four approaches QMult, OMult, ConvQ and ConvO to tackle the link prediction problem. QMult and OMult can be considered as quaternion and octonion extensions of previous state-of-the-art approaches, including DistMult and ComplEx. ConvQ and ConvO build upon QMult and OMult by including convolution operations in a way inspired by the residual learning framework. We evaluated our approaches on seven link prediction datasets including WN18RR, FB15K-237 and YAGO3-10. Experimental results suggest that the benefits of learning hypercomplex-valued vector representations become more apparent as the size and complexity of the knowledge graph grows. ConvO outperforms state-of-the-art approaches on FB15K-237 in MRR, Hit@1 and Hit@3, while QMult, OMult, ConvQ and ConvO outperform state-of-the-approaches on YAGO3-10 in all metrics. Results also suggest that link prediction performances can be further improved via prediction averaging. To foster reproducible research, we provide an open-source implementation of approaches, including training and evaluation scripts as well as pretrained models. AU - Demir, Caglar AU - Moussallem, Diego AU - Heindorf, Stefan AU - Ngonga Ngomo, Axel-Cyrille ID - 29287 T2 - The 13th Asian Conference on Machine Learning, ACML 2021 TI - Convolutional Hypercomplex Embeddings for Link Prediction ER - TY - CONF AU - Nickchen, Tobias AU - Heindorf, Stefan AU - Engels, Gregor ID - 29294 T2 - 2021 IEEE Winter Conference on Applications of Computer Vision (WACV) TI - Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts ER - TY - GEN AU - Heindorf, Stefan ID - 33733 TI - Automatically generating instructions from tutorials for search and user navigation ER - TY - JOUR AB - We demonstrate the integration of amorphous tungsten silicide superconducting nanowire single-photon detectors on titanium in-diffused lithium niobate waveguides. We show proof-of-principle detection of evanescently coupled photons of 1550 nm wavelength using bidirectional waveguide coupling for two orthogonal polarization directions. We investigate the internal detection efficiency as well as detector absorption using coupling-independent characterization measurements. Furthermore, we describe strategies to improve the yield and efficiency of these devices. AU - Höpker, Jan Philipp AU - Verma, Varun B AU - Protte, Maximilian AU - Ricken, Raimund AU - Quiring, Viktor AU - Eigner, Christof AU - Ebers, Lena AU - Hammer, Manfred AU - Förstner, Jens AU - Silberhorn, Christine AU - Mirin, Richard P AU - Woo Nam, Sae AU - Bartley, Tim ID - 23728 JF - Journal of Physics: Photonics SN - 2515-7647 TI - Integrated superconducting nanowire single-photon detectors on titanium in-diffused lithium niobate waveguides VL - 3 ER - TY - JOUR AB - While increasing digitalization enables multiple advantages for a reliable operation of technical systems, a remaining challenge in the context of condition monitoring is seen in suitable consideration of uncertainties affecting the monitored system. Therefore, a suitable prognostic approach to predict the remaining useful lifetime of complex technical systems is required. To handle different kinds of uncertainties, a novel Multi-Model-Particle Filtering-based prognostic approach is developed and evaluated by the use case of rubber-metal-elements. These elements are maintained preventively due to the strong influence of uncertainties on their behavior. In this paper, two measurement quantities are compared concerning their ability to establish a prediction of the remaining useful lifetime of the monitored elements and the influence of present uncertainties. Based on three performance indices, the results are evaluated. A comparison with predictions of a classical Particle Filter underlines the superiority of the developed Multi-Model-Particle Filter. Finally, the value of the developed method for enabling condition monitoring of technical systems related to uncertainties is given exemplary by a comparison between the preventive and the predictive maintenance strategy for the use case. AU - Bender, Amelie ID - 25046 IS - 10 JF - Machines KW - prognostics KW - RUL predictions KW - particle filter KW - uncertainty consideration KW - Multi-Model-Particle Filter KW - model-based approach KW - rubber-metal-elements KW - predictive maintenance SN - 2075-1702 TI - A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions VL - 9 ER - TY - GEN AB - Network and service coordination is important to provide modern services consisting of multiple interconnected components, e.g., in 5G, network function virtualization (NFV), or cloud and edge computing. In this paper, I outline my dissertation research, which proposes six approaches to automate such network and service coordination. All approaches dynamically react to the current demand and optimize coordination for high service quality and low costs. The approaches range from centralized to distributed methods and from conventional heuristic algorithms and mixed-integer linear programs to machine learning approaches using supervised and reinforcement learning. I briefly discuss their main ideas and advantages over other state-of-the-art approaches and compare strengths and weaknesses. AU - Schneider, Stefan Balthasar ID - 35889 KW - nfv KW - coordination KW - machine learning KW - reinforcement learning KW - phd KW - digest TI - Conventional and Machine Learning Approaches for Network and Service Coordination ER - TY - CHAP AU - Weber, Jutta ED - Maurer, Kathrin ED - Graae, Andreas Immanuel ID - 36260 T2 - Drone Imaginaries. The Power of Remote Vision TI - Artificial Intelligence and the Sociotechnical Imaginary: On Skynet, Self-Healing Swarms and Slaughterbots ER - TY - CHAP AU - Weber, Jutta AU - Mayer, Katja ED - Burkhardt, Marcus ED - Shnayien, Mary ED - Grashöfer, Katja ID - 36257 T2 - Explorations in Digital Cultures TI - From Optimizing Military Operations to Targeting Terrorist Networks: Social Network Analysis in Data-Driven Warfare ER - TY - CHAP AU - Weber, Jutta ED - Braun, Kathrin ED - Kropp, Cordula ID - 36256 T2 - In digitaler Gesellschaft. Neukonfigurationen zwischen Robotern, Algorithmen und Usern TI - Human-Machine Learning und Digital Commons ER - TY - JOUR AB - Due to the Corona crisis, German Higher Education Institutions had to close their campuses in March and lecturers had to teach online. To understand how the Corona crisis affected students, first this article explains the structural and social inequalities in the German higher education system, using Tinto's (1975; 1997) student engagement theory. Second, the concept of Bergman-Rosamond et al. (2020) is used to analyze the challenges that Corona has raised for students, including current surveys. We found that the closure of the social space campus (and the Corona crisis as a whole) particularly hit hard those students who had previously been affected by (intersectional) inequality. Therefore, to lessen the specific challenges associated with the ad hoc transition to digital studying, the creation of a digital community of learning can help. We demonstrate how such a community can be created by the example seminar, "Digital practices: an autoethnographic observation". During the seminar, students recorded their digital technology use in a journal, and we analyzed the diary entries using the collaborate autoethnography method. The seminar example shows that this method is well suited for the development of a community of learning as it not only places students in the spotlight but as students work together on a topic they get to know each other, and a basis of trust is created through peer-feedback. Therefore, it was important to have a digital space (in this case Mahara) where the exchange could take place. The continuous insight into the students’ "learning status" enabled the lecturer to promote the learning and provide individual assistance for the students. AU - Steinhardt, Isabel ID - 36545 IS - 1 JF - ISA Pedagogy Series KW - Intersectionality KW - inequality KW - gender KW - diversity KW - higher-education KW - crisis TI - Students in the spotlight: Using collaborative autoethnography to build a community of learning in the Corona crisis VL - 1 ER - TY - GEN AB - The call for free access to research data and materials is becoming louder and louder from the political and scientific communities in Germany. More and more researchers are facing demands to open up qualitative research data for scientific purposes. They often have a general interest in sharing their data, but are unsure how to proceed. This handout was developed to provide an initial introduction to opening and sharing qualitative data. It was developed at a workshop held in Berlin in January 2020, organized by the research group „Digitization of Science“ of the Weizenbaum Institute, together with its associate researcher Dr. Isabel Steinhardt from the University of Kassel. The workshop involved staff from German research data centers as well as mentees and mentors from the Fellow Program Open Science who already have experience with Open Science, qualitative research, and interdisciplinary research. The handout is addressed primarily to qualitatively researching scientists in Germany. For this reason, it was initially written in German. One year later, we have now decided to translate the handout into English as well. The reasons are twofold: first, we want to make it accessible to researchers in Germany with little knowledge of German. Second, we also want to give interested people outside Germany an insight into the German system and the German discussion about opening up and sharing qualitative data. Due to the objectives and the history of its development, the handout focuses on the German context. This includes the literature references and further sources, and the references to research data centers as well as legal issues. We have deliberately not included a contextualization of the German situation in international discussions in order to keep the handout as short as possible. AU - Steinhardt, Isabel AU - Fischer, Caroline AU - Heimstädt, Maximilian AU - Hirsbrunner, Simon David AU - Ikiz-Akinci, Dilek AU - Kressin, Lisa AU - Kretzer, Susanne AU - Möllenkamp, Andreas AU - Portzelt, Maike AU - Rahal, Rima-Maria AU - Schimmler, Sonja AU - Wilke, René AU - Wünsche, Hannes ID - 36551 TI - Opening up and Sharing Data from Qualitative Research: A Primer VL - 17 ER - TY - CHAP AB - Anhand einer explorativen Studie in den Fächern Jura und Soziale Arbeit wird rekonstruiert welche Praktiken Studierende in Bezug auf digitale Technologien haben und ob digitale Praktiken im Studium existieren. Dazu wurden narrative Interviews mit sechs Studierenden geführt, die habitushermeneutisch ausgewertet wurden. Die Ergebnisse zeigen keine digitalen Praktiken in Bezug auf das Studium, wohingegen sich digitale Praktiken im alltäglichen Leben zeigen. Für das Studium zeigen sich unterschiedliche Praktiken in der Nutzung digitaler Technologien, die in Beziehung zu den Kapitalsorten stehen, die Studierende besitzen. Die explorativen Ergebnisse legen nahe, dass Studierende unterschiedliche Hilfestellungen in Bezug auf die Digitalisierung des Studiums benötigen, die in der Lehrplanung und -pädagogik berücksichtigt werden müssten. AU - Steinhardt, Isabel ED - Bremer, Helmut ED - Lange-Vester, Andrea ID - 36557 SN - 978-3-7799-5861-1 T2 - Entwicklungen im Feld der Hochschule TI - Digitale Praktiken und das Studium ER - TY - THES AU - Wembe Moafo, Boris Edgar ID - 33872 TI - Geometric and Numerical Methods in Optimal Control and Zermelo Problems on Revolution Surfaces - Applications ER - TY - JOUR AB - AbstractIn order to reduce fuel consumption and thus pollutant emissions, the automotive industry is increasingly developing lightweight construction concepts that are accompanied by an increasing usage of aluminum materials. Due to poor weldability of aluminum in combination with other materials, mechanical joining methods such as clinching were developed and established in series production. In order to predict the relevant characteristics of clinched joints and to ensure the reliability of the process, it is simulated numerically during product development processes. In this regard, the predictive accuracy of the simulated process highly depends on the implemented friction model. In particular, the frictional behavior between the sheet metals as well as between the sheet metal and clinching tools has a significant impact on the geometrical formation of the clinched joint. No testing methods exist that can sufficiently investigate the frictional behavior in sheet materials, especially under high interface pressures, different relative velocities, and long friction paths, while allowing a decoupled consideration of the test parameters. This paper describes the development of further testing concepts based on a proven tribo-torsion test method for determining friction coefficients between sheet metal materials for the simulation of clinching processes. For this purpose, the correlation of interface pressure and the relative velocity between aluminum and steel sheet material in clinching processes is investigated using numerical simulation. Based on these findings, the developed concepts focus on determining friction coefficients at interface pressures of the above materials, yield stress, as well as the reproduction of the occurring friction conditions between sheet metal materials and tool surfaces in clinching processes using tool substitutes. Furthermore, wear investigations between sheet metal material and tool surface were carried out in the friction tests with subsequent EDX analyses of the frictioned tool surfaces. The developed method also allows an optical deformation measurement of the sheet metal material specimen by means of digital image correlation (DIC). Based on a methodological approach, the test setups and the test systems used are explained, and the functionality of the concepts is proven by experimental tests using different sheet metal materials. AU - Böhnke, Max AU - Rossel, Moritz Sebastian AU - Bielak, Christian Roman AU - Bobbert, Mathias AU - Meschut, Gerson ID - 25556 JF - The International Journal of Advanced Manufacturing Technology SN - 0268-3768 TI - Concept development of a method for identifying friction coefficients for the numerical simulation of clinching processes ER - TY - GEN AU - Weber, Jutta ED - Elliott, Anthony ID - 37504 T2 - Routledge Social Science Handbook of Artificial Intelligence TI - Artificial Intelligence in the Age of Technoscience ER - TY - JOUR AB - Research on technological educationininterdisciplinary scienceand socialstudies (Sachunterricht) in German primary schools emphasizes that childrenare generally interested in technology. While several STEAM initiatives point towards a growing recognition of technological literacy, the consideration of technology education ininterdisciplinaryscience and social studies is quite underrepresented in practice as well as in research and teacher training.Takinginto accountthe UN-CRPDclaims foran inclusive educational system andthus alsothe right to equally participate in a free society,participation in society through participation in technological development is a fundamental common goal of technological and inclusive education and part of widely recognized technological literacy.It is therefore not well understood how teaching and learning arrangementscan consider and satisfythe needs of all different students. The research project the present paper is part of tries to unveil the appearance of student’s basic needs in relation to technological educationfor all children. Thisinitial quantitative part of a grounded theory study examined the subjective significance of basic psychological needs in interdisciplinary science studies in primary educationto allow for a well-reasoned sample choice for subsequent interviews. Quantitative results point towards some revisions regarding the instrument used and several implications on the diversity of students ́needs in science and social studies. Future research is needed with larger samples for factor-analysis. AU - Schröer, Franz AU - Tenberge, Claudia ID - 37644 IS - 2 JF - TECHNE SERIES - Forskning i slöjdpedagogik och slöjdvetenskap KW - Inclusion KW - basic needs KW - Technology Education KW - Primary Education KW - autonomy KW - competence KW - social relatedness SN - 1893-1774 TI - Technological and Inclusive Education - Considering Students’ Needs Towards Technological Learning in Primary Schools VL - 28 ER - TY - CHAP AU - Alpsancar, Suzana ED - Sprenger, Florian ID - 34567 SN - 2702-8852 T2 - Autonome Autos – Die Zukunft des Verkehrs und die Dispositive der Mobilität TI - „Vom Fahr-Zeug zum Fahr-Ding. Ein Heideggerianischer Kommentar zum autonomen Automobil“ ER -