@misc{Schroeter2024,
  type      = {Master Thesis},
  author    = {Schr{\"o}ter, Alexander},
  title     = {Erstellung und Evaluation eines Fragebogens zur Erfassung von komplexen Interaktionssituationen in Software-Entwicklungsprojekten},
  doi       = {10.25932/publishup-63187},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-631873},
  school      = {Universit{\"a}t Potsdam},
  pages     = {75},
  year      = {2024},
  abstract  = {Die fortschreitende Digitalisierung durchzieht immer mehr Lebensbereiche und f{\"u}hrt zu immer komplexeren sozio-technischen Systemen. Obwohl diese Systeme zur Lebenserleichterung entwickelt werden, k{\"o}nnen auch unerw{\"u}nschte Nebeneffekte entstehen. Ein solcher Nebeneffekt k{\"o}nnte z.B. die Datennutzung aus Fitness-Apps f{\"u}r nachteilige Versicherungsentscheidungen sein. Diese Nebeneffekte manifestieren sich auf allen Ebenen zwischen Individuum und Gesellschaft. Systeme mit zuvor unerwarteten Nebeneffekten k{\"o}nnen zu sinkender Akzeptanz oder einem Verlust von Vertrauen f{\"u}hren. Da solche Nebeneffekte oft erst im Gebrauch in Erscheinung treten, bedarf es einer besonderen Betrachtung bereits im Konstruktionsprozess. Mit dieser Arbeit soll ein Beitrag geleistet werden, um den Konstruktionsprozess um ein geeignetes Hilfsmittel zur systematischen Reflexion zu erg{\"a}nzen. In vorliegender Arbeit wurde ein Analysetool zur Identifikation und Analyse komplexer Interaktionssituationen in Software-Entwicklungsprojekten entwickelt. Komplexe Interaktionssituationen sind von hoher Dynamik gepr{\"a}gt, aus der eine Unvorhersehbarkeit der Ursache-Wirkungs-Beziehungen folgt. Hierdurch k{\"o}nnen die Akteur*innen die Auswirkungen der eigenen Handlungen nicht mehr {\"u}berblicken, sondern lediglich im Nachhinein rekonstruieren. Hieraus k{\"o}nnen sich fehlerhafte Interaktionsverl{\"a}ufe auf vielf{\"a}ltigen Ebenen ergeben und oben genannte Nebeneffekte entstehen. Das Analysetool unterst{\"u}tzt die Konstrukteur*innen in jeder Phase der Entwicklung durch eine angeleitete Reflexion, um potenziell komplexe Interaktionssituationen zu antizipieren und ihnen durch Analyse der m{\"o}glichen Ursachen der Komplexit{\"a}tswahrnehmung zu begegnen. Ausgehend von der Definition f{\"u}r Interaktionskomplexit{\"a}t wurden Item-Indikatoren zur Erfassung komplexer Interaktionssituationen entwickelt, die dann anhand von geeigneten Kriterien f{\"u}r Komplexit{\"a}t analysiert werden. Das Analysetool ist als „Do-It-Yourself" Fragebogen mit eigenst{\"a}ndiger Auswertung aufgebaut. Die Genese des Fragebogens und die Ergebnisse der durchgef{\"u}hrten Evaluation an f{\"u}nf Softwarentwickler*innen werden dargestellt. Es konnte festgestellt werden, dass das Analysetool bei den Befragten als anwendbar, effektiv und hilfreich wahrgenommen wurde und damit eine hohe Akzeptanz bei der Zielgruppe genießt. Dieser Befund unterst{\"u}tzt die gute Einbindung des Analysetools in den Software-Entwicklungsprozess.},
  language  = {de}
}
@misc{ShanGuanHubaceketal.2018,
  author    = {Shan, Yuli and Guan, Dabo and Hubacek, Klaus and Zheng, Bo and Davis, Steven J. and Jia, Lichao and Liu, Jianghua and Liu, Zhu and Fromer, Neil and Mi, Zhifu and Meng, Jing and Deng, Xiangzheng and Li, Yuan and Lin, Jintai and Schroeder, Heike and Weisz, Helga and Schellnhuber, Hans Joachim},
  title     = {City-level climate change mitigation in China},
  series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  number    = {1096},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-47154},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-471541},
  pages     = {18},
  year      = {2018},
  abstract  = {As national efforts to reduce CO2 emissions intensify, policy-makers need increasingly specific, subnational information about the sources of CO2 and the potential reductions and economic implications of different possible policies. This is particularly true in China, a large and economically diverse country that has rapidly industrialized and urbanized and that has pledged under the Paris Agreement that its emissions will peak by 2030. We present new, city level estimates of CO2 emissions for 182 Chinese cities, decomposed into 17 different fossil fuels, 46 socioeconomic sectors, and 7 industrial processes. We find that more affluent cities have systematically lower emissions per unit of gross domestic product (GDP), supported by imports from less affluent, industrial cities located nearby. In turn, clusters of industrial cities are supported by nearby centers of coal or oil extraction. Whereas policies directly targeting manufacturing and electric power infrastructure would drastically undermine the GDP of industrial cities, consumption based policies might allow emission reductions to be subsidized by those with greater ability to pay. In particular, sector based analysis of each city suggests that technological improvements could be a practical and effective means of reducing emissions while maintaining growth and the current economic structure and energy system. We explore city-level emission reductions under three scenarios of technological progress to show that substantial reductions (up to 31\%) are possible by updating a disproportionately small fraction of existing infrastructure.},
  language  = {en}
}
@misc{NoirayRiesTiedeetal.2020,
  author    = {Noiray, Aude and Ries, Jan and Tiede, Mark and Rubertus, Elina and Laporte, Catherine and M{\´e}nard, Lucie},
  title     = {Recording and analyzing kinematic data in children and adults with SOLLAR},
  series = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  number    = {667},
  issn      = {1866-8364},
  doi       = {10.25932/publishup-48315},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-483159},
  pages     = {27},
  year      = {2020},
  abstract  = {Understanding the development of spoken language in young children has become increasingly important for advancing basic theories of language acquisition and for clinical practice. However, such a goal requires refined measurements of speech articulation (e.g., from the tongue), which are difficult to obtain from young children. In recent years though, technological advances have allowed developmental researchers to make significant steps in that direction. For instance, movements of the tongue, an articulator that is essential for spoken language, can now be tracked and recorded in children with ultrasound imaging. This technique has opened novel research avenues in (a)typical language acquisition, enabling researchers to reliably capture what has long remained invisible in the speech of young children. Within this context, we have designed an experimental platform for the recording and the processing of kinematic data: SOLLAR (Sonographic and Optical Linguo-Labial Articulatory Recording system). The method has been tailored for children, but it is suitable for adults. In the present article, we introduce the recording environment developed to record over 100 children and 30 adults within SOLLAR. We then describe SOLLAR's data processing framework, providing examples of data visualization and a summary of strengths and limitations.},
  language  = {en}
}
@misc{BrandHeckZiegler2014,
  author    = {Brand, Ralf and Heck, Philipp and Ziegler, Matthias},
  title     = {Illegal performance enhancing drugs and doping in sport},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-401404},
  pages     = {11},
  year      = {2014},
  abstract  = {Background: Doping attitude is a key variable in predicting athletes' intention to use forbidden performance enhancing drugs. Indirect reaction-time based attitude tests, such as the implicit association test, conceal the ultimate goal of measurement from the participant better than questionnaires. Indirect tests are especially useful when socially sensitive constructs such as attitudes towards doping need to be described. The present study serves the development and validation of a novel picture-based brief implicit association test (BIAT) for testing athletes' attitudes towards doping in sport. It shall provide the basis for a transnationally compatible research instrument able to harmonize anti-doping research efforts. Method: Following a known-group differences validation strategy, the doping attitudes of 43 athletes from bodybuilding (representative for a highly doping prone sport) and handball (as a contrast group) were compared using the picture-based doping-BIAT. The Performance Enhancement Attitude Scale (PEAS) was employed as a corresponding direct measure in order to additionally validate the results. Results: As expected, in the group of bodybuilders, indirectly measured doping attitudes as tested with the picture-based doping-BIAT were significantly less negative (eta(2) = .11). The doping-BIAT and PEAS scores correlated significantly at r = .50 for bodybuilders, and not significantly at r = .36 for handball players. There was a low error rate (7\%) and a satisfactory internal consistency (r(dagger dagger) = .66) for the picture-based doping-BIAT. Conclusions: The picture-based doping-BIAT constitutes a psychometrically tested method, ready to be adopted by the international research community. The test can be administered via the internet. All test material is available "open source". The test might be implemented, for example, as a new effect-measure in the evaluation of prevention programs.},
  language  = {en}
}
@book{RenansZimmermannGreif2010,
  author    = {Renans, Agata and Zimmermann, Malte and Greif, Markus},
  title     = {Questionnaire on focus semantics},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-36826},
  publisher      = {Universit{\"a}t Potsdam},
  year      = {2010},
  abstract  = {This is the 15th issue of the working paper series Interdisciplinary Studies on Information Structure (ISIS) of the Sonderforschungsbereich (SFB) 632. This online version contains the Questionnaire on Focus Semantics contributed by Agata Renans, Malte Zimmermann and Markus Greif, members of Project D2 investigating information structural phenomena from a typological perspective. The present issue provides a tool for collecting and analyzing natural data with respect to relevant linguistic questions concerning focus types, focus sensitive particles, and the effects of quantificational adverbs and presupposition on focus semantics. This volume is a supplementation to the Reference manual of the Questionnaire on Information Structure, issued by Project D2 in ISIS 4 (2006).},
  language  = {en}
}