@article{66479,
  abstract     = {{Sense of belonging at school (SoBaS) is a basic requirement for every student and
a major inclusivity goal for educational institutions. In the present study, we re-
port on a self-evaluation of the Laborschule Bielefeld (LS; Germany) covering
­ SoBaS. LS is an inclusive experimental comprehensive school with more than for-
ty years of experience concerning a non-segregative and diversity-friendly school
culture. Based on propensity score matching, the study investigated whether the
SoBaS scores of the students at this inclusive experimental school (N= 115) differ
from the students visiting inclusive classes in regular state-run comprehensive
schools (N= 2376). Furthermore, we examined the factors in the students’ educa-
tional environment at LS that may potentially influence their SoBaS. The results
indicate that the students attending the LS experienced a higher SoBaS. In additi-
on, certain aspects of LS's teaching and interaction culture were identified as aus-
picious factors for accomplishing high levels of students’ SoBaS.}},
  author       = {{Marker, Rabea and Kullmann, Harry and Zentarra, Dominik and Geist, Sabine and Lütje-Klose, Birgit}},
  issn         = {{1866-6671}},
  journal      = {{Journal for Educational Research Online}},
  keywords     = {{sense of belonging, inclusive education, secondary school, social-emotional needs}},
  number       = {{2}},
  pages        = {{250--273}},
  publisher    = {{Waxmann}},
  title        = {{{Sense of Belonging at School as a quality measure of inclusion – Comparing the inclusive experimental school Laborschule Bielefeld with regular inclusive comprehensive schools and investigating the determining factors}}},
  doi          = {{10.31244/jero.2023.02.06}},
  volume       = {{15}},
  year         = {{2023}},
}

@article{31023,
  abstract     = {{Research in inclusive education reveals multiple studies that explore the efforts of individual stakeholders to create an equitable educational experience for students with disabilities. However, these individual efforts are often examined discretely, compartmentalising the contributions of various stakeholders. As a consequence, the complex interplay between these contributions has not been fully
explored, with the capacity for a rich network of support being assumed rather than explicitly constructed. This report draws on the personal reflections of nine academics in the field of inclusive
education from Australia, Canada, Germany, Greece, Italy, and Switzerland. Serving as both contributors and participants, this study draws together their personal interpretations and their exper-
tise regarding the value of collective and collaborative inclusive education. Inductive thematic analysis of participant reflections yielded the view that stakeholders working together within an educational setting, offers more effective and appropriate opportunities to support learners with additional needs.}},
  author       = {{Subban, Pearl  and Bradford, Brent and Sharma, Umesh and Loreman, Tim and Avramidis, Elias and Kullmann, Harry and Sahli Lozano, Caroline and Romano, Alessandra and Woodcock, Stuart}},
  journal      = {{European Journal of Special Needs Education}},
  keywords     = {{Inclusive education, inclusive schools, school leadership, school community, village mindset}},
  pages        = {{291–302}},
  title        = {{{Does it really take a village to raise a child? Reflections on the need for collective responsibility in inclusive education}}},
  doi          = {{10.1080/08856257.2022.2059632}},
  volume       = {{37}},
  year         = {{2023}},
}

@article{55775,
  abstract     = {{Schulisches Wohlbefinden gilt als wesentlicher Qualitätsindikator für schulische Inklusion und Grundbedingung gelingender Lernprozesse bei Kindern und Jugendlichen. Hochbedeutsam sind dabei soziale Integration sowie soziale Unterstützung (vgl. u.a. Haeberlin et al. 1989, Hascher 2004, Hascher et al. 2011, Schwab 2014, Koster et al. 2009, Zurbriggen & Venetz 2016, Kullmann et al. 2015). Im FEP „Wohlbefinden und Inklusion an der Laborschule (WILS)“ wird die Perspektive der Schüler*innen auf für sie bedeutsame Einflüsse auf ihr schulisches Wohlbefinden in einem multimethodischen Forschungsdesign untersucht. Nehmen sich Schüler*innen, die aufgrund benachteiligender Lebenslagen besonders vulnerabel sind, an der Laborschule als sozial integriert wahr und fühlen sie sich in der Schule wohl? Wie erleben sie die Beziehungen mit Peers und (Sonder-)Pädagog*innen und welche schulischen Rahmenbedingungen erleben sie als fördernd bzw. hemmend für ihre Entwicklung? Diesen Fragen wurde innerhalb der qualitativen Teilstudie in leitfadengestützten, offen strukturierten Interviews mit 15 Jugendlichen der Jahrgänge 8 bis 10 entlang ausgewählter Disparitätslinien nachgegangen. Einzelne Jugendliche wurden zusätzlich zu einem späteren Zeitpunkt erneut interviewt und konnten so nicht nur retrospektive Einschätzungen zu ihrer Schulzeit, sondern auch einen Ausblick über ihre Entwicklungen nach der Laborschulzeit geben. Die Ergebnisse zeigen, dass die Schüler*innen, auch jene mit sonderpädagogischen Unterstützungsbedarfen, an der Laborschule in den meisten Fällen eine unterstützende Gemeinschaft erleben, in der sie Zugehörigkeit und Selbstwirksamkeit erfahren, Krisen bewältigen und Anerkennung spüren können, was sowohl auf institutionelle Rahmenbedingungen der Laborschule als auch auf Beziehungen und Haltungen der schulischen Akteur*innen zurückzuführen ist.}},
  author       = {{Külker, Anna and Guth, Theresa and Geist, Sabine and Lütje-Klose, Birgit and Siepmann, Christof and Dorniak, Marlena and Kullmann, Harry and Rüther, Julia and Uffmann, Gunnar and Zentarra, Dominik}},
  issn         = {{2940-0686}},
  journal      = {{Jahrbuch Laborschulforschung 2023}},
  keywords     = {{Praxisforschung, schulisches Wohlbefinden, schulische Inklusion, Partizipation}},
  pages        = {{58--76}},
  title        = {{{Wohlbefinden und Inklusion an der Laborschule Bielefeld (WILS) - Ausgewählte Ergebnisse der Interviews mit Schüler*innen der Jahrgänge 8 bis 10}}},
  doi          = {{10.11576/SFE_LS-7190}},
  volume       = {{2}},
  year         = {{2023}},
}

@article{55776,
  abstract     = {{Im Anschluss an eine konzise Einführung in den Entstehungs- und Nutzungskontext dokumentiert der vorliegende Beitrag den Fragebogen für Schüler*innen aus dem Forschungs- und Entwicklungsprojekt (FEP) „Wohlbefinden und Inklusion an der Laborschule Bielefeld“ (WILS). Dieses multidisziplinär und multimethodisch angelegte Projekt wurde zwischen 2010 und 2018 an der Laborschule Bielefeld – inklusive Versuchsschule des Landes Nordrhein-Westfalen – entwickelt und durchgeführt. In den Jahren 2013–2018 wurden jährlich alle Schüler*innen der Stufen 6–10 längsschnittlich befragt, insgesamt rund 650 Schüler*innen mit bis zu fünf Messzeitpunkten. Zwei zusätzliche Erhebungen erfolgten im Kontext der COVID-19-Pandemie, wobei das Instrument anlassbezogen erweitert wurde (Fortsetzungsprojekt WILS-Co). Anhand der aufgelisteten Quellen ergibt sich die Möglichkeit zur vertieften Auseinandersetzung mit der Entwicklung des Fragebogeninstruments, den inhaltlichen Befunden in Bezug auf Inklusion und schulischem Wohlbefinden an der Laborschule Bielefeld sowie den Impulsen aus dem Projekt in das gesamte Kollegium im Rahmen von schulinternen Fortbildungen.}},
  author       = {{Kullmann, Harry and Zentarra, Dominik and Lütje-Klose, Birgit and Geist, Sabine and Siepmann, Christof and Goldan, Janka and Külker, Anna and Dorniak, Marlena}},
  issn         = {{2940-0686}},
  journal      = {{Jahrbuch Laborschulforschung 2023}},
  keywords     = {{Schulisches Wohlbefinden, Inklusion, Laborschule Bielefeld, Sekundarstufe I, Schülerfragebogen, COVID-19}},
  pages        = {{111--134}},
  title        = {{{Fragebogen für Schüler*innen zum schulischen Wohlbefinden und weiteren Schulqualitätsfaktoren}}},
  doi          = {{10.11576/SFE_LS-7193}},
  volume       = {{2}},
  year         = {{2023}},
}

@unpublished{48287,
  abstract     = {{Although the NLP community has adopted central differential privacy as a go-to framework for privacy-preserving model training or data sharing, the choice and interpretation of the key parameter, privacy budget ε that governs the strength of privacy protection, remains largely arbitrary. We argue that determining the ε value should not be solely in the hands of researchers or system developers, but must also take into account the actual people who share their potentially sensitive data. In other words: Would you share your instant messages for ε of 10? We address this research gap by designing, implementing, and conducting a behavioral experiment (311 lay participants) to study the behavior of people in uncertain decision-making situations with respect to privacy-threatening situations. Framing the risk perception in terms of two realistic NLP scenarios and using a vignette behavioral study help us determine what ε thresholds would lead lay people to be willing to share sensitive textual data - to our knowledge, the first study of its kind.}},
  author       = {{Weiss, Christopher and Kreuter, Frauke and Habernal, Ivan}},
  title        = {{{To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems?}}},
  year         = {{2023}},
}

@article{46815,
  abstract     = {{In this work, the influence of the filler–matrix adhesion on the tensile properties of laser-sintered parts built with Polyamide 613 filled with glass beads was investigated. For this purpose, dry blends of glass beads with and without organosilane coupling agents and polyamide powder were prepared and processed into tensile specimens on an EOS P396 laser sintering system. The samples were tested both in the dry state and after an accelerated conditioning in a climate chamber. Furthermore, finite element method (FEM) simulations were performed to model the extreme cases of optimum adhesion and no adhesion. By correlating the tensile tests with the simulation results and by analyzing the fracture surfaces, it was shown that the filler–matrix adhesion is sufficient in the dry state but is strongly degraded by conditioning. Even the presence of various organosilane thin films could not prevent a strong deterioration of the filler–matrix adhesion and the associated deterioration of the mechanical properties. Since a comparison with an injection-molded sample of the same polymer filler combination shows identical behavior after conditioning, it is assumed that this problem is not limited to additively manufactured parts.}},
  author       = {{Kletetzka, Ivo and Kosanke, Maren and Meinderink, Dennis and Neßlinger, Vanessa and Grundmeier, Guido and Schmid, Hans-Joachim}},
  issn         = {{2363-9512}},
  journal      = {{Progress in Additive Manufacturing}},
  keywords     = {{Industrial and Manufacturing Engineering}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Influence of the filler–matrix adhesion and the effects of conditioning on tensile properties of laser-sintered parts built with polyamide–glass bead dry blends}}},
  doi          = {{10.1007/s40964-023-00501-z}},
  year         = {{2023}},
}

@inbook{28338,
  author       = {{Kehrbusch, Burkhard and Engels, Gregor}},
  booktitle    = {{Digital Transformation: Core Technologies and Emerging Topics from a Computer Science Perspective}},
  editor       = {{Vogel-Heuser, Birgit and Wimmer, Manuel}},
  publisher    = {{Springer-Vieweg}},
  title        = {{{Digital Transformation - Towards flexible human-centric enterprises}}},
  year         = {{2022}},
}

@inproceedings{29146,
  author       = {{zur Heiden, Philipp and Priefer, Jennifer and Beverungen, Daniel}},
  booktitle    = {{Proceedings of the 55th Hawaii International Conference on System Sciences}},
  editor       = {{Bui, Tung X.}},
  isbn         = {{978-0-9981331-5-7}},
  location     = {{Honolulu, HI}},
  title        = {{{Utilizing Geographic Information Systems for Condition-Based Maintenance on the Energy Distribution Grid}}},
  year         = {{2022}},
}

@inproceedings{29147,
  author       = {{Herwix, Alexander and zur Heiden, Philipp}},
  booktitle    = {{Proceedings of the 55th Hawaii International Conference on System Sciences}},
  editor       = {{Bui, Tung X.}},
  isbn         = {{978-0-9981331-5-7}},
  location     = {{Honolulu, HI}},
  title        = {{{Context in Design Science Research: Taxonomy and Framework}}},
  year         = {{2022}},
}

@inproceedings{29148,
  author       = {{zur Heiden, Philipp and Beverungen, Daniel}},
  booktitle    = {{Proceedings of the 55th Hawaii International Conference on System Sciences}},
  editor       = {{Bui, Tung X.}},
  isbn         = {{978-0-9981331-5-7}},
  location     = {{Honolulu, HI}},
  title        = {{{A Renaissance of Context in Design Science Research}}},
  year         = {{2022}},
}

@inproceedings{29149,
  author       = {{Koldewey, Christian and Dumitrescu, Roman and Rabe, Martin }},
  booktitle    = {{Proceedings of the 55th Hawaii International Conference on System Sciences}},
  location     = {{Hawaii, USA}},
  title        = {{{Introduction to the Data-driven Services in Manufacturing Minitrack - Exploring Management, Engineering, and Organizational Transformation}}},
  year         = {{2022}},
}

@inproceedings{27506,
  abstract     = {{Explainability for machine learning gets more and more important in high-stakes decisions like real estate appraisal. While traditional hedonic house pricing models are fed with hard information based on housing attributes, recently also soft information has been incorporated to increase the predictive performance. This soft information can be extracted from image data by complex models like Convolutional Neural Networks (CNNs). However, these are intransparent which excludes their use for high-stakes financial decisions. To overcome this limitation, we examine if a two-stage modeling approach can provide explainability. We combine visual interpretability by Regression Activation Maps (RAM) for the CNN and a linear regression for the overall prediction. Our experiments are based on 62.000 family homes in Philadelphia and the results indicate that the CNN learns aspects related to vegetation and quality aspects of the house from exterior images, improving the predictive accuracy of real estate appraisal by up to 5.4%.}},
  author       = {{Kucklick, Jan-Peter}},
  booktitle    = {{55th Annual Hawaii International Conference on System Sciences (HICSS-55)}},
  keywords     = {{Explainable Artificial Intelligence (XAI), Regression Activation Maps, Real Estate Appraisal, Convolutional Block Attention Module, Computer Vision}},
  location     = {{Virtual}},
  title        = {{{Visual Interpretability of Image-based Real Estate Appraisal}}},
  year         = {{2022}},
}

@inproceedings{27507,
  abstract     = {{Accurate real estate appraisal is essential in decision making processes of financial institutions, governments, and trending real estate platforms like Zillow. One of the most important factors of a property’s value is its location. However, creating accurate quantifications of location remains a challenge. While traditional approaches rely on Geographical Information Systems (GIS), recently unstructured data in form of images was incorporated in the appraisal process, but text data remains an untapped reservoir. Our study shows that using text data in form of geolocated Wikipedia articles can increase predictive performance over traditional GIS-based methods by 8.2% in spatial out-of-sample validation. A framework to automatically extract geographically weighted vector representations for text is established and used alongside traditional structural housing features to make predictions and to uncover local patterns on sale price for real estate transactions between 2015 and 2020 in Allegheny County, Pennsylvania.}},
  author       = {{Heuwinkel, Tim and Kucklick, Jan-Peter and Müller, Oliver}},
  booktitle    = {{55th Annual Hawaii International Conference on System Sciences (HICSS-55)}},
  keywords     = {{Real Estate Appraisal, Text Regression, Natural Language Processing (NLP), Location Intelligence, Wikipedia}},
  location     = {{Virtual}},
  title        = {{{Using Geolocated Text to Quantify Location in Real Estate Appraisal}}},
  year         = {{2022}},
}

@techreport{29761,
  abstract     = {{We study the abilities of competitive markets to produce sufficient energy capacities to
meet a fixed energy demand. Renewable energy producers with stochastic outputs and no
variable costs compete against conventional energy producers with deterministic, pollutant
outputs and increasing marginal costs. We find that either market forces are strong enough
to serve the entire demand, or they are too weak such that the market fails and nothing is
produced. This crucially depends on the relative cost of renewable energy investments, such
that relatively cheap renewable energy causes the market to fail. Welfare analyses show that
with increasing levels of conventional energy pollution the ability of the market to produce
an ecient outcome further declines. As a policy implication, our findings refute the use of
a strategic reserve as a blackout backstop solution. Instead, a capacity mechanism consisting
of a tax-and-subsidy scheme can align the market outcome with the eficient solution for all
pollution levels and relative costs of renewable energy capacities.}},
  author       = {{Block, Lukas and Westbrock, Bastian}},
  keywords     = {{Renewable versus conventional energy, capacity mechanisms, strategic reserves, capacity payments}},
  title        = {{{Capacity investments in a competitive energy market}}},
  year         = {{2022}},
}

@inproceedings{29839,
  abstract     = {{The development of business models is a challenging task that can be supported with software tools. Here, existing approaches and tools do not focus on the company’s situation in which the development takes place (e.g., financial resources, product type). To tackle this challenge, we used design science research to develop a situation-specific business model development approach that contains three stages: First, existing knowledge in terms of tasks to do (e.g., analyze competitive advantage), and decisions to be made (e.g., social media marketing) are stored in repositories. Second, the knowledge is used to compose a development method based on the company’s situation. Third, the development method is enacted to develop a business model. This demonstration paper presents a tool-support called Situational Business Model Developer that supports all stages of our approach. We release the tool under open-source and evaluate it with a case study on developing business models for mobile apps.}},
  author       = {{Gottschalk, Sebastian and Yigitbas, Enes and Nowosad, Alexander and Engels, Gregor}},
  booktitle    = {{Proceedings of the 17th International Conference on Wirtschaftsinformatik}},
  keywords     = {{Business Model Development, Situational Method Engineering, Tool Support}},
  location     = {{Nuremberg}},
  publisher    = {{AIS}},
  title        = {{{Situational Business Model Developer: A Tool-support for Situation-specific Business Model Development}}},
  year         = {{2022}},
}

@inproceedings{29840,
  abstract     = {{Due to the proliferation of Virtual Reality (VR) technology, VR is finding new applications in various domains, such as stock trading. Here, traders invest in stocks intending to increase their profit. For this purpose, in conventional stock trading, traders usually make use of 2D applications on desktop or laptop devices. This leads to many drawbacks such as poor visibility due to limited 2D representation, complex interaction due to indirect interaction via mouse and keyboard, or restricted support for collaboration between traders. To overcome these issues, we have developed a novel collaborative, virtual environment for stock trading, which enables stock traders to view financial information and trade stocks with other collaborators. The main results of a usability study indicate that the VR environment, compared to conventional stock trading, shows no significant advantages concerning efficiency and effectiveness, however, we could observe an increased user satisfaction and better collaboration.}},
  author       = {{Yigitbas, Enes and Gottschalk, Sebastian and Nowosad, Alexander and Engels, Gregor}},
  booktitle    = {{Proceedings of the 17th International Conference on Wirtschaftsinformatik}},
  keywords     = {{virtual reality, stock trading, collaboration, usability}},
  location     = {{Nuremberg}},
  publisher    = {{AIS}},
  title        = {{{Development and Evaluation of a Collaborative Stock Trading Environment in Virtual Reality}}},
  year         = {{2022}},
}

@unpublished{29835,
  author       = {{Lanza, Lukas Johannes and Berger, Thomas}},
  publisher    = {{submitted to: IEEE Transactions on Automatic Control}},
  title        = {{{Funnel control of linear systems under output measurement losses}}},
  year         = {{2022}},
}

@article{26747,
  abstract     = {{Metasurfaces provide applications for a variety of flat elements and devices due to the ability to modulate light with subwavelength structures. The working principle meanwhile gives rise to the crucial problem and challenge to protect the metasurface from dust or clean the unavoidable contaminants during daily usage. Here, taking advantage of the intelligent bioinspired surfaces which exhibit self-cleaning properties, a versatile dielectric metasurface benefiting from the obtained superhydrophilic or quasi-superhydrophobic states is shown. The design is realized by embedding the metasurface inside a large area of wettability supporting structures, which is highly efficient in fabrication, and achieves both optical and wettability functionality at the same time. The superhydrophilic state enables an enhanced optical response with water, while the quasi-superhydrophobic state imparts the fragile antennas an ability to self-clean dust contamination. Furthermore, the metasurface can be easily switched and repeated between these two wettability or functional states by appropriate treatments in a repeatable way, without degrading the optical performance. The proposed design strategy will bring new opportunities to smart metasurfaces with improved optical performance, versatility, and physical stability.}},
  author       = {{Lu, Jinlong and Sain, Basudeb and Georgi, Philip and Protte, Maximilian and Bartley, Tim and Zentgraf, Thomas}},
  issn         = {{2195-1071}},
  journal      = {{Advanced Optical Materials}},
  number       = {{1}},
  publisher    = {{Wiley}},
  title        = {{{A Versatile Metasurface Enabling Superwettability for Self‐Cleaning and Dynamic Color Response}}},
  doi          = {{10.1002/adom.202101781}},
  volume       = {{10}},
  year         = {{2022}},
}

@inproceedings{30236,
  abstract     = {{Recent reinforcement learning approaches for continuous control in wireless mobile networks have shown impressive
results. But due to the lack of open and compatible simulators, authors typically create their own simulation environments for training and evaluation. This is cumbersome and time-consuming for authors and limits reproducibility and comparability, ultimately impeding progress in the field.

To this end, we propose mobile-env, a simple and open platform for training, evaluating, and comparing reinforcement learning and conventional approaches for continuous control in mobile wireless networks. mobile-env is lightweight and implements the common OpenAI Gym interface and additional wrappers, which allows connecting virtually any single-agent or multi-agent reinforcement learning framework to the environment. While mobile-env provides sensible default values and can be used out of the box, it also has many configuration options and is easy to extend. We therefore believe mobile-env to be a valuable platform for driving meaningful progress in autonomous coordination of
wireless mobile networks.}},
  author       = {{Schneider, Stefan Balthasar and Werner, Stefan and Khalili, Ramin and Hecker, Artur and Karl, Holger}},
  booktitle    = {{IEEE/IFIP Network Operations and Management Symposium (NOMS)}},
  keywords     = {{wireless mobile networks, network management, continuous control, cognitive networks, autonomous coordination, reinforcement learning, gym environment, simulation, open source}},
  location     = {{Budapest}},
  publisher    = {{IEEE}},
  title        = {{{mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks}}},
  year         = {{2022}},
}

@inbook{16296,
  abstract     = {{Multiobjective optimization plays an increasingly important role in modern
applications, where several objectives are often of equal importance. The task
in multiobjective optimization and multiobjective optimal control is therefore
to compute the set of optimal compromises (the Pareto set) between the
conflicting objectives. Since the Pareto set generally consists of an infinite
number of solutions, the computational effort can quickly become challenging
which is particularly problematic when the objectives are costly to evaluate as
is the case for models governed by partial differential equations (PDEs). To
decrease the numerical effort to an affordable amount, surrogate models can be
used to replace the expensive PDE evaluations. Existing multiobjective
optimization methods using model reduction are limited either to low parameter
dimensions or to few (ideally two) objectives. In this article, we present a
combination of the reduced basis model reduction method with a continuation
approach using inexact gradients. The resulting approach can handle an
arbitrary number of objectives while yielding a significant reduction in
computing time.}},
  author       = {{Banholzer, Stefan and Gebken, Bennet and Dellnitz, Michael and Peitz, Sebastian and Volkwein, Stefan}},
  booktitle    = {{Non-Smooth and Complementarity-Based Distributed Parameter Systems}},
  editor       = {{Michael, Hintermüller and Roland, Herzog and Christian, Kanzow and Michael, Ulbrich and Stefan, Ulbrich}},
  isbn         = {{978-3-030-79392-0}},
  pages        = {{43--76}},
  publisher    = {{Springer}},
  title        = {{{ROM-Based Multiobjective Optimization of Elliptic PDEs via Numerical Continuation}}},
  doi          = {{10.1007/978-3-030-79393-7_3}},
  year         = {{2022}},
}