@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}}, } @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}}, } @article{30195, abstract = {{While plasmonic particles can provide optical resonances in a wide spectral range from the lower visible up to the near-infrared, often, symmetry effects are utilized to obtain particular optical responses. By breaking certain spatial symmetries, chiral structures arise and provide robust chiroptical responses to these plasmonic resonances. Here, we observe strong chiroptical responses in the linear and nonlinear optical regime for chiral L-handed helicoid-III nanoparticles and quantify them by means of an asymmetric factor, the so-called g-factor. We calculate the linear optical g-factors for two distinct chiroptical resonances to −0.12 and –0.43 and the nonlinear optical g-factors to −1.45 and −1.63. The results demonstrate that the chirality of the helicoid-III nanoparticles is strongly enhanced in the nonlinear regime.}}, author = {{Spreyer, Florian and Mun, Jungho and Kim, Hyeohn and Kim, Ryeong Myeong and Nam, Ki Tae and Rho, Junsuk and Zentgraf, Thomas}}, issn = {{2330-4022}}, journal = {{ACS Photonics}}, keywords = {{Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biotechnology, Electronic, Optical and Magnetic Materials}}, number = {{3}}, pages = {{784–792}}, publisher = {{American Chemical Society (ACS)}}, title = {{{Second Harmonic Optical Circular Dichroism of Plasmonic Chiral Helicoid-III Nanoparticles}}}, doi = {{10.1021/acsphotonics.1c00882}}, volume = {{9}}, year = {{2022}}, } @inproceedings{30387, abstract = {{Resonant evanescent coupling can be utilized to selectively excite orbital angular momentum (OAM) modes of high angular order supported by a thin circular dielectric rod. Our 2.5-D hybrid-analytical coupled mode model combines the vectorial fields associated with the fundamental TE- and TM-modes of a standard silicon photonics slab waveguide, propagating at oblique angles with respect to the rod axis, and the hybrid modes supported by the rod. One observes an efficient resonant interaction in cases where the common axial wavenumber of the waves in the slab matches the propagation constant of one or more modes of the rod. For certain modes of high angular order, the incident wave is able to transfer its directionality to the field in the fiber, exciting effectively only one of a pair of degenerate OAM modes}}, author = {{Hammer, Manfred and Ebers, Lena and Förstner, Jens}}, booktitle = {{Complex Light and Optical Forces XVI}}, editor = {{Andrews, David L. and Galvez, Enrique J. and Rubinsztein-Dunlop, Halina}}, keywords = {{tet_topic_waveguide}}, pages = {{120170F}}, publisher = {{SPIE}}, title = {{{Resonant evanescent excitation of OAM modes in a high-contrast circular step-index fiber}}}, doi = {{10.1117/12.2612179}}, year = {{2022}}, } @misc{30737, author = {{Schulz, Michael and Neuhaus, Uwe and Kaufmann, Jens and Kühnel, Stephan and Alekozai, Emal M. and Rohde, Heiko and Hoseini, Sayed and Theuerkauf, René and Badura, Daniel and Kerzel, Ulrich and Lanquillon, Carsten and Daurer, Stephan and Günther, Maik and Huber, Lukas and Thiée, Lukas-Walter and zur Heiden, Philipp and Passlick, Jens and Dieckmann, Jonas and Schwade, Florian and Seyffarth, Tobias and Badewitz, Wolfgang and Rissler, Raphael and Sackmann, Stefan and Gölzer, Philipp and Welter, Felix and Röth, Jochen and Seidelmann, Julian and Haneke, Uwe}}, publisher = {{NORDAKADEMIE gAG Hochschule der Wirtschaft}}, title = {{{DASC-PM v1.1 - Ein Vorgehensmodell für Data-Science-Projekte}}}, year = {{2022}}, } @article{30917, abstract = {{We study lobby group formation in a two-stage model where the players rst form lobby groups that then engage in a rent-seeking contest to inuence the legislator. However, the outcome of the contest aects all players according to the ideological distance between the implemented policy and the players' preferences. The players can either lobby by themselves, form a coalition of lobbyists or free ride. We nd that free coalition formation is reasonable if either players with moderate preferences face lobby groups with extreme preferences, or if there are two opposing coalitions with an equal number of members. Otherwise, there are always free riders among the players.}}, author = {{Block, Lukas}}, journal = {{Quick And Easy Journal Title}}, keywords = {{Group formation, Rent-seeking, Free riding}}, title = {{{Coalition formation versus free riding in rent-seeking contests}}}, year = {{2022}}, } @article{29902, author = {{Reineke Matsudo, Bernhard and Sain, Basudeb and Carletti, Luca and Zhang, Xue and Gao, Wenlong and Angelis, Costantino and Huang, Lingling and Zentgraf, Thomas}}, issn = {{2198-3844}}, journal = {{Advanced Science}}, keywords = {{General Physics and Astronomy, General Engineering, Biochemistry, Genetics and Molecular Biology (miscellaneous), General Materials Science, General Chemical Engineering, Medicine (miscellaneous)}}, number = {{12}}, publisher = {{Wiley}}, title = {{{Efficient Frequency Conversion with Geometric Phase Control in Optical Metasurfaces}}}, doi = {{10.1002/advs.202104508}}, volume = {{9}}, year = {{2022}}, }