@inproceedings{AmirBauckhageChircuetal.2022,
  author    = {Amir, Malik and Bauckhage, Christian and Chircu, Alina and Czarnecki, Christian and Knopf, Christian and Piatkowski, Nico and Sultanow, Eldar},
  title     = {What can we expect from quantum (digital) twins?},
  series = {Wirtschaftsinformatik 2022 Proceedings},
  booktitle = {Wirtschaftsinformatik 2022 Proceedings},
  publisher = {AIS Electronic Library (AISeL)},
  pages     = {1 -- 14},
  year      = {2022},
  abstract  = {Digital twins enable the modeling and simulation of real-world entities (objects, processes or systems), resulting in improvements in the associated value chains. The emerging field of quantum computing holds tremendous promise forevolving this virtualization towards Quantum (Digital) Twins (QDT) and ultimately Quantum Twins (QT). The quantum (digital) twin concept is not a contradiction in terms - but instead describes a hybrid approach that can be implemented using the technologies available today by combining classicalcomputing and digital twin concepts with quantum processing. This paperpresents the status quo of research and practice on quantum (digital) twins. It alsodiscuses their potential to create competitive advantage through real-timesimulation of highly complex, interconnected entities that helps companies better address changes in their environment and differentiate their products andservices.},
  language  = {en}
}
@article{PhilippEfthimiouPaganoetal.2022,
  author    = {Philipp, Mohr and Efthimiou, Nikos and Pagano, Fiammetta and Kratochwil, Nicolaus and Pizzichemi, Marco and Tsoumpas, Charalampos and Auffray, Etiennette and Ziemons, Karl},
  title     = {Image reconstruction analysis for positron emission tomography with heterostructured scintillators},
  series = {IEEE Transactions on Radiation and Plasma Medical Sciences},
  volume    = {7},
  journal   = {IEEE Transactions on Radiation and Plasma Medical Sciences},
  number    = {1},
  publisher = {IEEE},
  address   = {New York, NY},
  issn      = {2469-7311},
  doi       = {10.1109/TRPMS.2022.3208615},
  pages     = {41 -- 51},
  year      = {2022},
  abstract  = {The concept of structure engineering has been proposed for exploring the next generation of radiation detectors with improved performance. A TOF-PET geometry with heterostructured scintillators with a pixel size of 3.0×3.1×15 mm3 was simulated using Monte Carlo. The heterostructures consisted of alternating layers of BGO as a dense material with high stopping power and plastic (EJ232) as a fast light emitter. The detector time resolution was calculated as a function of the deposited and shared energy in both materials on an event-by-event basis. While sensitivity was reduced to 32\% for 100 μm thick plastic layers and 52\% for 50 μm, the CTR distribution improved to 204±49 ps and 220±41 ps respectively, compared to 276 ps that we considered for bulk BGO. The complex distribution of timing resolutions was accounted for in the reconstruction. We divided the events into three groups based on their CTR and modeled them with different Gaussian TOF kernels. On a NEMA IQ phantom, the heterostructures had better contrast recovery in early iterations. On the other hand, BGO achieved a better contrast to noise ratio (CNR) after the 15th iteration due to the higher sensitivity. The developed simulation and reconstruction methods constitute new tools for evaluating different detector designs with complex time responses.},
  language  = {en}
}
@incollection{HinkeVervierBrauneretal.2022,
  author    = {Hinke, Christian and Vervier, Luisa and Brauner, Philipp and Schneider, Sebastian and Steuer-Dankert, Linda and Ziefle, Martina and Leicht-Scholten, Carmen},
  title     = {Capability configuration in next generation manufacturing},
  series = {Forecasting next generation manufacturing : digital shadows, human-machine collaboration, and data-driven business models},
  booktitle = {Forecasting next generation manufacturing : digital shadows, human-machine collaboration, and data-driven business models},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-031-07733-3},
  doi       = {10.1007/978-3-031-07734-0_6},
  pages     = {95 -- 106},
  year      = {2022},
  abstract  = {Industrial production systems are facing radical change in multiple dimensions. This change is caused by technological developments and the digital transformation of production, as well as the call for political and social change to facilitate a transformation toward sustainability. These changes affect both the capabilities of production systems and companies and the design of higher education and educational programs. Given the high uncertainty in the likelihood of occurrence and the technical, economic, and societal impacts of these concepts, we conducted a technology foresight study, in the form of a real-time Delphi analysis, to derive reliable future scenarios featuring the next generation of manufacturing systems. This chapter presents the capabilities dimension and describes each projection in detail, offering current case study examples and discussing related research, as well as implications for policy makers and firms. Specifically, we discuss the benefits of capturing expert knowledge and making it accessible to newcomers, especially in highly specialized industries. The experts argue that in order to cope with the challenges and circumstances of today's world, students must already during their education at university learn how to work with AI and other technologies. This means that study programs must change and that universities must adapt their structural aspects to meet the needs of the students.},
  language  = {en}
}
@incollection{SteuerDankertLeichtScholten2022,
  author    = {Steuer-Dankert, Linda and Leicht-Scholten, Carmen},
  title     = {Perceiving diversity : an explorative approach in a complex research organization.},
  series = {Diversity and discrimination in research organizations},
  booktitle = {Diversity and discrimination in research organizations},
  publisher = {Emerald Publishing Limited},
  address   = {Bingley},
  isbn      = {978-1-80117-959-1 (Print)},
  doi       = {10.1108/978-1-80117-956-020221010},
  pages     = {365 -- 392},
  year      = {2022},
  abstract  = {Diversity management is seen as a decisive factor for ensuring the development of socially responsible innovations (Beacham and Shambaugh, 2011; Sonntag, 2014; L{\´o}pez, 2015; Uebernickel et al., 2015). However, many diversity management approaches fail due to a one-sided consideration of diversity (Thomas and Ely, 2019) and a lacking linkage between the prevailing organizational culture and the perception of diversity in the respective organization. Reflecting the importance of diverse perspectives, research institutions have a special responsibility to actively deal with diversity, as they are publicly funded institutions that drive socially relevant development and educate future generations of developers, leaders and decision-makers. Nevertheless, only a few studies have so far dealt with the influence of the special framework conditions of the science system on diversity management. Focusing on the interdependency of the organizational culture and diversity management especially in a university research environment, this chapter aims in a first step to provide a theoretical perspective on the framework conditions of a complex research organization in Germany in order to understand the system-specific factors influencing diversity management. In a second step, an exploratory cluster analysis is presented, investigating the perception of diversity and possible influencing factors moderating this perception in a scientific organization. Combining both steps, the results show specific mechanisms and structures of the university research environment that have an impact on diversity management and rigidify structural barriers preventing an increase of diversity. The quantitative study also points out that the management level takes on a special role model function in the scientific system and thus has an influence on the perception of diversity. Consequently, when developing diversity management approaches in research organizations, it is necessary to consider the top-down direction of action, the special nature of organizational structures in the university research environment as well as the special role of the professorial level as role model for the scientific staff.},
  language  = {en}
}
@incollection{StriebingMuellerSchraudneretal.2022,
  author    = {Striebing, Clemens and M{\"u}ller, J{\"o}rg and Schraudner, Martina and Gewinner, Irina Valerie and Guerrero Morales, Patricia and Hochfeld, Katharina and Hoffman, Shekinah and Kmec, Julie A. and Nguyen, Huu Minh and Schneider, Jannick and Sheridan, Jennifer and Steuer-Dankert, Linda and Trimble O'Connor, Lindsey and Vandevelde-Rougale, Agn{\`e}s},
  title     = {Promoting diversity and combatting discrimination in research organizations: a practitioner's guide},
  series = {Diversity and discrimination in research organizations},
  booktitle = {Diversity and discrimination in research organizations},
  publisher = {Emerald Publishing Limited},
  address   = {Bingley},
  isbn      = {978-1-80117-959-1 (Print)},
  doi       = {10.1108/978-1-80117-956-020221012},
  pages     = {421 -- 442},
  year      = {2022},
  abstract  = {The essay is addressed to practitioners in research management and from academic leadership. It describes which measures can contribute to creating an inclusive climate for research teams and preventing and effectively dealing with discrimination. The practical recommendations consider the policy and organizational levels, as well as the individual perspective of research managers. Following a series of basic recommendations, six lessons learned are formulated, derived from the contributions to the edited collection on "Diversity and Discrimination in Research Organizations."},
  language  = {en}
}
@masterthesis{Geilhausen2022,
  type      = {Bachelor Thesis},
  author    = {Geilhausen, Ayleen},
  title     = {SUE : Restauranterlebnisse neu gestalten},
  publisher = {FH Aachen},
  address   = {Aachen},
  pages     = {121 Seiten},
  year      = {2022},
  abstract  = {Gastronomiebetriebe, insbesondere diese ohne zeitgem{\"a}ße und durchdachte Konzepte wurden durch die Pandemie stark getroffen. W{\"a}hrend große Fast-Food-Ketten bereits vor der Pandemie digitale L{\"o}sungen einsetzten, stehen nun auch andere Restaurantbetreiber:innen vor der Herausforderung der Digitalisierung. Gerade die Pandemie hat an dieser Stelle verdeutlicht, welche Restaurants ihre Prozesse im Sinne der User Experience durchdacht haben und welche nicht. Die Tisch-Stuhl-Kombination der „SUE"-Serie bietet Restaurants, smarte und elegante Gastronomiem{\"o}bel, die je nach Konzept in Materialit{\"a}t und Farbe frei anpassbar sind. Wandelbarkeit, Komfort und die Integration digitaler L{\"o}sungen sind die Kernkompetenzen und Anforderungen, die das Gastronomie-Interior in Zukunft erf{\"u}llen muss. Der smarte Bistrotisch und der wandelbare Stuhl der „SUE"-Serie zeigt einen digitalisierten und anpassbaren L{\"o}sungsansatz.},
  language  = {de}
}
@masterthesis{IncemanCremer2022,
  type      = {Bachelor Thesis},
  author    = {Inceman Cremer, Suzan},
  title     = {Kouyou : Ort im Raum},
  publisher = {FH Aachen},
  address   = {Aachen},
  pages     = {85 Seiten},
  year      = {2022},
  abstract  = {Selbstliebe, der Moment der Ruhe, sich eine mentale Pause erlauben und von allem bewusst abzuschalten, sind aktuelle Themen unserer Gesellschaft. Die Zeit, in der wir leben, bewegt sich in einer Geschwindigkeit, die alle unsere Sinne {\"u}berlastet und uns nicht mehr erlaubt, selbst zuzuh{\"o}ren oder volle Momente der Ruhe zu erleben. Thema der Bachelorarbeit ist der Entwurf eines Sitzm{\"o}bels, welches inspiriert ist durch die sakralische Architektur. Der Stuhl soll das Gef{\"u}hl von Umformung und Leichtigkeit vermitteln. Er ist aus Eiche gebaut und unterst{\"u}tzt den Menschen in seiner bewussten Sitzhaltung. Die Eiche ist ein Baum, der f{\"u}r Kraft, Durchhalteverm{\"o}gen und Gerechtigkeit steht. Es heißt auch, wenn man eine Eiche sieht, sie umarmen soll, da sie heilende Kr{\"a}fte hat. Hier ist aber die Eiche, die den Menschen symbolisch umarmen soll, wenn man auf ihr sitzt. Und somit spielen Architektur, M{\"o}bel und der Mensch eine spielende Rolle, und zwar ist es die menschliche Haltung im Raum.},
  language  = {de}
}
@inproceedings{MertensBraunerBaieretal.2022,
  author    = {Mertens, Alexander and Brauner, Philipp and Baier, Ralph and Brillowski, Florian and Dammers, Hannah and van Dyck, Marc and Kong, Iris and K{\"o}nigs, Peter and Kordtomeikel, Frauke and Liehner, Gian Luca and P{\"u}tz, Sebastian and Rodermann, Niklas and Schaar, Anne Kathrin and Steuer-Dankert, Linda and Vervier, Luisa and Wlecke, Shari and Gries, Thomas and Leicht-Scholten, Carmen and Nagel, Saskia K. and Piller, Frank T. and Schuh, G{\"u}nther and Ziefle, Martina and Nitsch, Verena},
  title     = {Modelling Human Factors in Cyber Physical Production Systems by the Integration of Human Digital Shadows},
  series = {Modellierung 2022 Satellite Events},
  booktitle = {Modellierung 2022 Satellite Events},
  editor    = {Michael, Judith and Pfeiffer, J{\´e}r{\^o}me and Wortmann, Andreas},
  publisher = {GI Gesellschaft f{\"u}r Informatik},
  address   = {Bonn},
  doi       = {10.18420/modellierung2022ws-018},
  pages     = {147 -- 149},
  year      = {2022},
  abstract  = {The future of industrial manufacturing and production will increasingly manifest in the form of cyber-physical production systems. Here, Digital Shadows will act as mediators between the physical and digital world to model and operationalize the interactions and relationships between different entities in production systems. Until now, the associated concepts have been primarily pursued and implemented from a technocentric perspective, in which human actors play a subordinate role, if they are considered at all. This paper outlines an anthropocentric approach that explicitly considers the characteristics, behavior, and traits and states of human actors in socio-technical production systems. For this purpose, we discuss the potentials and the expected challenges and threats of creating and using Human Digital Shadows in production.},
  language  = {en}
}
@incollection{BraunerVervierBrillowskietal.2022,
  author    = {Brauner, Philipp and Vervier, Luisa and Brillowski, Florian and Dammers, Hannah and Steuer-Dankert, Linda and Schneider, Sebastian and Baier, Ralph and Ziefle, Martina and Gries, Thomas and Leicht-Scholten, Carmen and Mertens, Alexander and Nagel, Saskia K.},
  title     = {Organization Routines in Next Generation Manufacturing},
  series = {Forecasting Next Generation Manufacturing},
  booktitle = {Forecasting Next Generation Manufacturing},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-031-07734-0},
  doi       = {10.1007/978-3-031-07734-0_5},
  pages     = {75 -- 94},
  year      = {2022},
  abstract  = {Next Generation Manufacturing promises significant improvements in performance, productivity, and value creation. In addition to the desired and projected improvements regarding the planning, production, and usage cycles of products, this digital transformation will have a huge impact on work, workers, and workplace design. Given the high uncertainty in the likelihood of occurrence and the technical, economic, and societal impacts of these changes, we conducted a technology foresight study, in the form of a real-time Delphi analysis, to derive reliable future scenarios featuring the next generation of manufacturing systems. This chapter presents the organization dimension and describes each projection in detail, offering current case study examples and discussing related research, as well as implications for policy makers and firms. Specifically, we highlight seven areas in which the digital transformation of production will change how we work, how we organize the work within a company, how we evaluate these changes, and how employment and labor rights will be affected across company boundaries. The experts are unsure whether the use of collaborative robots in factories will replace traditional robots by 2030. They believe that the use of hybrid intelligence will supplement human decision-making processes in production environments. Furthermore, they predict that artificial intelligence will lead to changes in management processes, leadership, and the elimination of hierarchies. However, to ensure that social and normative aspects are incorporated into the AI algorithms, restricting measurement of individual performance will be necessary. Additionally, AI-based decision support can significantly contribute toward new, socially accepted modes of leadership. Finally, the experts believe that there will be a reduction in the workforce by the year 2030.},
  language  = {en}
}
@misc{Buechel2022,
  type      = {Master Thesis},
  author    = {B{\"u}chel, Carolin},
  title     = {GYMLET : dein mobiles Freiluftstudio - Entwicklung eines serientauglichen Prototypen und einer Vermarktungsstrategie},
  publisher = {FH Aachen},
  address   = {Aachen},
  pages     = {93 Seiten},
  year      = {2022},
  abstract  = {Sportvereine verlieren zunehmend Mitglieder. Grund daf{\"u}r ist der wachsende Wunsch nach unabh{\"a}ngigen Trainingsm{\"o}glichkeiten. GYMLET bietet den Sportler:innen die M{\"o}glichkeit, ihre Fitness funktional, selbstorganisiert und unabh{\"a}ngig zu trainieren. Dabei kann durch den selbstbestimmten Trainingsort neben der k{\"o}rperlichen Fitness vor allem die Motivation zur sportlichen Aktivit{\"a}t und das Wohlbefinden gesteigert werden. Unterst{\"u}tzt wird das Trainingssystem durch eine App, welche den Sportler:innen neben Nutzungsm{\"o}glichkeiten als Coach und Trainingsplaner dient. Um diese Trainingsm{\"o}glichkeit an die Zielgruppe heranzutragen, ist eine Kampagnenstrategie aus zwei Phasen entstanden. In dieser sollen Postings und Clips {\"u}ber Instagram und Youtube ver{\"o}ffentlicht werden. Zus{\"a}tzlich werden Zeitschriften und m{\"o}gliche Kooperationen mit Therapeuten oder Freizeitunterk{\"u}nften zur Ver{\"o}ffentlichung der Kampagne genutzt.},
  language  = {de}
}