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Stand des IMAF zu Beginn des Jahres 2006
Zum 1. April 2005 wurde per Beschluss des Rektorats der Universität Potsdam das Interdisziplinäre Zentrum für Musterdynamik und Angewandte Fernerkundung (IMAF) an der Universität Potsdam eingerichtet. Diesem Beschluss gingen knapp zwei Jahre konzeptionelle, organisatorische und administrative Vorarbeiten voraus. Inzwischen ist das IMAF also offiziell gegründet, der Vorstand wurde „bestellt“ (Prof. M. Mutti. Prof. E. Zehe, Prof. A. Bronstert), der Geschäftsführer bzw. wissenschaftliche Koordinator Dr. M. Kühling arbeitet in dieser Funktion seit Sommer 2005 und seit kurzem ist auch die 1. Version der Homepage des IMAF (http://www.uni-potsdam.de/imaf/) frei geschaltet. Auch die Infrastruktur des IMAF ist in der Entstehungsphase: Büroräume sind versprochen (wenn auch noch nicht bezugsfertig) im Haus 13 auf dem Campus Golm der Universität Potsdam und der 1. erfolgreiche Drittmittelantrag erbrachte 8 leistungsfähige Tischrechner und einen Server für das IMAF aus EU-Mitteln. Wichtiger als die administrativen und organisatorischen Arbeiten sind aber die inhaltlichen Forstschritte. Hier ist die große Resonanz, die die Gründung des IMAF sowohl innerhalb als auch außerhalb der Universität gefunden hat, besonders erfreulich. Über 30 Angehörige des Zentrums sind inzwischen zu verzeichnen und es gibt bereits eine Reihe von wissenschaftlichen Projektinitiativen und Ideen für dieses Zentrum. Neben den wissenschaftlichen Arbeiten am IMAF ist ein zweites Hauptziel für dieses Zentrum die Entwicklung und der Ausbau eines strukturierten Ausbildungsangebotes für Musterdynamik und angewandte Fernerkundung. Dies sollen gleichermaßen Masterstudenten als auch Doktoranden der Universität Potsdam und der mit ihr assoziierten außeruniversitären Institute nutzen. Zudem werden Kurse und Weiterbildungsveranstaltungen mit nationalen und internationalen Experten angestrebt. Neben diesen positiven Entwicklungen gibt es auch (noch ??) über einige Mängel zu berichten:
Das Sekretariat ist nach wie vor unbesetzt, die Finanzausstattung des Zentrums ist völlig ungenügend und die im Konzept für das Zentrum beantragte Wissenschaftlerstelle für Softwareanwendung ist nicht in Sicht. Für einen Erfolg des Zentrums ist es unbedingt notwendig, dass sich diese Situation deutlich verbessert!!
Forschungsschwerpunkte des IMAF
Räumliche Muster und deren Struktur in der Umwelt
Räumliche Muster sind in vielen naturwissenschaftlichen Disziplinen (Hydrologie, Ökologie, Geologie, Biologie, Chemie, Physik) von zentraler Bedeutung. Z.B. bestimmen die räumlichen (und zeitlichen) Muster von Bodeneigenschaften und Vegetation in ihrem Zusammenspiel mit den Mustern von Niederschlag und Strahlungsinput maßgeblich den Wasser- und Stoffhaushalt auf unterschiedlichsten Skalen und führen über Rückkopplung wiederum zu Veränderungen in Klima, Vegetation und Ökosystemen. Vom kleinräumigen Transport von Schadstoffen und von der Hochwasserentstehung bis zur Frage nach den regionalen und globalen Veränderungen von Klima, Vegetation und Landnutzung seien hier nur einige Problemkreise genannt, in denen Muster und Musterdynamik eine zentrale Stellung einnehmen. Darüber hinaus liefert die Betrachtung der zeitlichen Veränderung von räumlichen Mustern, in Ergänzung zur klassischen Erfassung dynamischer Prozesse in Form von Messungen lokaler zeitlicher Änderungen, eine völlig neue Perspektive auf Dynamik und eröffnet damit völlig neue wissenschaftliche Möglichkeiten. Aktuelle und sehr drängende Fragen innerhalb dieses Forschungsschwerpunktes sind unter anderem:
• Analyse der generelle Raumstruktur von Geodaten (Variabilität, Struktur, Konnektivität);
• Thematische Verbindungen verschiedener Datenebenen und Möglichkeiten für deren Assimilation;
• Möglichkeiten und Grenzen des Skalenübergangs zwischen verschiedenen räumlichen Auflösungen und Informationsquellen;
• Ableitung der zeitlichen Dynamik bzw. Entwicklung von großen flächenhaften Datenfeldern.
Angewandte Fernerkundung
Wie keine andere Technik bietet die Fernerkundung in jeglicher Form (unter anderem Satelliten, flugzeuggetragene Sensoren, Wetterradar und auch geophysikalische Methoden) umfangreiche Möglichkeiten, räumliche Muster und deren zeitliche Veränderungen zu erfassen. Allen Methoden der Fernerkundung gemein ist, dass sie nur indirekte Ergebnisse liefern. Das heißt, es besteht nur ein mittelbarer Zusammenhang zwischen dem beobachteten Signal, meist der Reflektivität oder Emissivität elektromagnetischer Strahlung in verschiedenen Spektralbereichen (optisch oder Radar), und der eigentlich interessierenden Größe, wie dem Feuchtezustand der Vegetation, der Bodenfeuchte oder Bodenrauhigkeit, der Niederschlagsintensität, dem Zustand der Schneedecke oder der Ausdehnung eines Oberflächenfilms auf Gewässern. Ein Satellitenbild enthält beispielsweise immer die spektrale Signatur des räumlichen Musters mehrerer der oben genannten Einflussgrößen, was die Extraktion oder Diskriminierung der eigentlich interessierenden Größe erschwert. Dieser „vermischte“ Charakter der Fernerkundungsdaten bietet aber auch immense Chancen. So lassen sich durch geeignete Interpretationsverfahren aus jedem mit hohem finanziellem und technischem Aufwand erstellten Satellitenbild zahlreiche und im Detail völlig unterschiedliche Fragestellungen bearbeiten. Die Extraktion der gewünschten Information aus dem Fernerkundungssignal führt mathematisch gesehen meist auf die Lösung so genannter inverser, schlecht gestellter Probleme. Somit beinhaltet die interdisziplinäre Nutzung von Fernerkundung auch ein hohes methodisches Synergiepotential. Durch die heutigen technischen Möglichkeiten zur Archivierung auch sehr umfangreicher raumbezogener Informationen ist die Bearbeitung zu jedem beliebigen Zeitpunkt nach der Aufnahme möglich – zum Beispiel bis entsprechend lange Zeitreihen und/oder geeignete Interpretationsverfahren zur Verfügung stehen. Tatsächlich dürfte der weitaus größte Teil der raumbezogenen Informationen, die in den bisher erhobenen Fernerkundungsdaten stecken, nur in Ansätzen ausgewertet sein. Einer bereits sehr hoch entwickelten technischen Dimension der Fernerkundung steht ein gewisses Defizit im Umfang ihrer Anwendung in den verschiedenen naturwissenschaftlichen Disziplinen gegenüber. Aktuelle und sehr drängende Fragen innerhalb dieses Forschungsschwerpunktes sind unter anderem:
• Nutzung der räumlichen und inhaltlichen Breite von Fernerkundungsinformationen;
• Verbindung mit automatisierten, u.a. geophysikalischen Methoden des „ground-truthings“;
• Identifizierung der Grenzen bzgl. Repräsentanz der Daten (spektral, raum-zeitliche Auflösung);
• Verbindung unterschiedlicher Methoden der Fernerkundung und der Geophysik.
Dieser Beitrag illustriert die o.g. Fragestellungen anhand einiger Darstellungen aus verschiedenen wissenschaftlichen Disziplinen und erläutert 2 Beispiele zu beabsichtigten Forschungsprojekten:
• Erfassung und Bedeutung von Boden-Oberflächeneigenschaften auf die Abflussbildung von Landschaften;
• Phänomene des Stofftransportes in homogenen vs. heterogenen Böden.
Enterprise Resource Planning (ERP) systems are critical to the success of enterprises, facilitating business operations through standardized digital processes. However, existing ERP systems are unsuitable for startups and small and medium-sized enterprises that grow quickly and require adaptable solutions with low barriers to entry. Drawing upon 15 explorative interviews with industry experts, we examine the challenges of current ERP systems using the task technology fit theory across companies of varying sizes. We describe high entry barriers, high costs of implementing implicit processes, and insufficient interoperability of already employed tools. We present a vision of a future business process platform based on three enablers: Business processes as first-class entities, semantic data and processes, and cloud-native elasticity and high availability. We discuss how these enablers address current ERP systems' challenges and how they may be used for research on the next generation of business software for tomorrow's enterprises.
Artificial intelligence (AI)-based technologies can increasingly perform knowledge work tasks, such as medical diagnosis. Thereby, it is expected that humans will not be replaced by AI but work closely with AI-based technology (“augmentation”). Augmentation has ethical implications for humans (e.g., impact on autonomy, opportunities to flourish through work), thus, developers and managers of AI-based technology have a responsibility to anticipate and mitigate risks to human workers. However, doing so can be difficult as AI encompasses a wide range of technologies, some of which enable fundamentally new forms of interaction. In this research-in-progress paper, we propose the development of a taxonomy to categorize unique characteristics of AI-based technology that influence the interaction and have ethical implications for human workers. The completed taxonomy will support researchers in forming cumulative knowledge on the ethical implications of augmentation and assist practitioners in the ethical design and management of AI-based technology in knowledge work.
KEYCIT 2014
(2015)
In our rapidly changing world it is increasingly important not only to be an expert in a chosen field of study but also to be able to respond to developments, master new approaches to solving problems, and fulfil changing requirements in the modern world and in the job market. In response to these needs key competencies in understanding, developing and using new digital technologies are being brought into focus in school and university programmes. The IFIP TC3 conference "KEYCIT – Key Competences in Informatics and ICT (KEYCIT 2014)" was held at the University of Potsdam in Germany from July 1st to 4th, 2014 and addressed the combination of key competencies, Informatics and ICT in detail. The conference was organized into strands focusing on secondary education, university education and teacher education (organized by IFIP WGs 3.1 and 3.3) and provided a forum to present and to discuss research, case studies, positions, and national perspectives in this field.
A key problem in automatic annotation of historical corpora is inconsistent spelling. Because the spelling of some word forms can differ between texts, a language model trained on already annotated treebanks may fail to recognize known word forms due to differences in spelling. In the present work, we explore the feasibility of an unsupervised method for spelling-adjustment for the purpose of improved part of speech (POS) tagging. To this end, we present a method for spelling normalization based on weighted edit distances, which exploits within-text spelling variation. We then evaluate the improvement in taging accuracy resulting from between-texts spelling normalization in two tagging experiments on several Early New High German (ENHG) texts.
Die 7. Fachtagung für Hochschuldidaktik, die 2016 erneut mit der DeLFI E-Learning Fachtagung Informatik stattfand, setzte das erfolgreiche Modell einer Tagung fort, die sich mit hochschuldidaktischen Fragen und der Gestaltung von Studiengängen der Informatik beschäftigt.
Thema der Tagung waren alle Fragen, die sich der Vermittlung von Informatikgegenständen im Hochschulbereich widmen. Dazu gehörten u.a.:
• fachdidaktische Konzepte der Vermittlung einzelner Informatikgegenstände
• methodische Lösungen, wie spezielle Lehr- und Lernformen, Durchführungskonzepte
• empirische Ergebnisse und Vergleichsstudien
• E-Learning-Ansätze, wenn sie ein erkennbares didaktisches Konzept verfolgen
• Studienkonzepte und Curricula, organisatorische Fragen, wie Gewinnung von Studierenden, Studieneingangsphase, Abbrecher.
Die Fachtagung widmete sich ausgewählten Fragestellungen dieses Themenkomplexes, die durch Vorträge ausgewiesener Experten, durch eingereichte Beiträge und durch Präsentationen und Poster intensiv behandelt wurden.
Unser besonderer Dank gilt dem Programmkomitee und den hier nicht genannten Helfern für ihren Einsatz bei der Vorbereitung und Durchführung der Tagung.
Physiological and genomic variation among cryptic species of a marsh snail (Melampus bidentatus)
(2021)
Die Fachtagungen HDI (Hochschuldidaktik Informatik) beschäftigen sich mit den unterschiedlichen Aspekten informatischer Bildung im Hochschulbereich. Neben den allgemeinen Themen wie verschiedenen Lehr- und Lernformen, dem Einsatz von Informatiksystemen in der Hochschullehre oder Fragen der Gewinnung von geeigneten Studierenden, deren Kompetenzerwerb oder auch der Betreuung der Studierenden widmet sich die HDI immer auch einem Schwerpunktthema.
Im Jahr 2021 war dies die Berücksichtigung von Diversität in der Lehre. Diskutiert wurden beispielsweise die Einbeziehung von besonderen fachlichen und überfachlichen Kompetenzen Studierender, der Unterstützung von Durchlässigkeit aus nichtakademischen Berufen, aber auch die Gestaltung inklusiver Lehr- und Lernszenarios, Aspekte des Lebenslangen Lernens oder sich an die Diversität von Studierenden adaptierte oder adaptierende Lehrsysteme.
Dieser Band enthält ausgewählte Beiträge der 9. Fachtagung 2021, die in besonderer Weise die Konferenz und die dort diskutierten Themen repräsentieren.
During the outbreak of the COVID-19 pandemic, many people shared their symptoms across Online Social Networks (OSNs) like Twitter, hoping for others’ advice or moral support. Prior studies have shown that those who disclose health-related information across OSNs often tend to regret it and delete their publications afterwards. Hence, deleted posts containing sensitive data can be seen as manifestations of online regrets. In this work, we present an analysis of deleted content on Twitter during the outbreak of the COVID-19 pandemic. For this, we collected more than 3.67 million tweets describing COVID-19 symptoms (e.g., fever, cough, and fatigue) posted between January and April 2020. We observed that around 24% of the tweets containing personal pronouns were deleted either by their authors or by the platform after one year.
As a practical application of the resulting dataset, we explored its suitability for the automatic classification of regrettable content on Twitter.
Spectral detection enables multi-color fluorescence fluctuation spectroscopy studies in living cells
(2021)
Background:
Anti-TNFα monoclonal antibodies (mAbs) are a well-established treatment for patients with Crohn’s disease (CD). However, subtherapeutic concentrations of mAbs have been related to a loss of response during the first year of therapy1. Therefore, an appropriate dosing strategy is crucial to prevent the underexposure of mAbs for those patients. The aim of our study was to assess the impact of different dosing strategies (fixed dose or body size descriptor adapted) on drug exposure and the target concentration attainment for two different anti-TNFα mAbs: infliximab (IFX, body weight (BW)-based dosing) and certolizumab pegol (CZP, fixed dosing). For this purpose, a comprehensive pharmacokinetic (PK) simulation study was performed.
Methods:
A virtual population of 1000 clinically representative CD patients was generated based on the distribution of CD patient characteristics from an in-house clinical database (n = 116). Seven dosing regimens were investigated: fixed dose and per BW, lean BW (LBW), body surface area, height, body mass index and fat-free mass. The individual body size-adjusted doses were calculated from patient generated body size descriptor values. Then, using published PK models for IFX and CZP in CD patients2,3, for each patient, 1000 concentration–time profiles were simulated to consider the typical profile of a specific patient as well as the range of possible individual profiles due to unexplained PK variability across patients. For each dosing strategy, the variability in maximum and minimum mAb concentrations (Cmax and Cmin, respectively), area under the concentration-time curve (AUC) and the per cent of patients reaching target concentration were assessed during maintenance therapy.
Results:
For IFX and CZP, Cmin showed the highest variability between patients (CV ≈110% and CV ≈80%, respectively) with a similar extent across all dosing strategies. For IFX, the per cent of patients reaching the target (Cmin = 5 µg/ml) was similar across all dosing strategies (~15%). For CZP, the per cent of patients reaching the target average concentration of 17 µg/ml ranged substantially (52–71%), being the highest for LBW-adjusted dosing.
Conclusion:
By using a PK simulation approach, different dosing regimen of IFX and CZP revealed the highest variability for Cmin, the most commonly used PK parameter guiding treatment decisions, independent upon dosing regimen. Our results demonstrate similar target attainment with fixed dosing of IFX compared with currently recommended BW-based dosing. For CZP, the current fixed dosing strategy leads to comparable percentage of patients reaching target as the best performing body size-adjusted dosing (66% vs. 71%, respectively).
Public blockchain
(2020)
Blockchain has the potential to change business transactions to a major extent. Thereby, underlying consensus algorithms are the core mechanism to achieve consistency in distributed infrastructures. Their application aims for transparency and accountability in societal transactions. As a result of missing reviews holistically covering consensus algorithms, we aim to (1) identify prevalent consensus algorithms for public blockchains, and (2) address the resource perspective with a sustainability consideration (whereby we address the three spheres of sustainability). Our systematic literature review identified 33 different consensus algorithms for public blockchains. Our contribution is twofold: first, we provide a systematic summary of consensus algorithms for public blockchains derived from the scientific literature as well as real-world applications and systemize them according to their research focus; second, we assess the sustainability of consensus algorithms using a representative sample and thereby highlight the gaps in literature to address the holistic sustainability of consensus algorithms.
Web Tracking
(2018)
Web tracking seems to become ubiquitous in online business and leads to increased privacy concerns of users. This paper provides an overview over the current state of the art of web-tracking research, aiming to reveal the relevance and methodologies of this research area and creates a foundation for future work. In particular, this study addresses the following research questions: What methods are followed? What results have been achieved so far? What are potential future research areas? For these goals, a structured literature review based upon an established methodological framework is conducted. The identified articles are investigated with respect to the applied research methodologies and the aspects of web tracking they emphasize.
EMOOCs 2023
(2023)
From June 14 to June 16, 2023, Hasso Plattner Institute, Potsdam, hosted the eighth European MOOC Stakeholder Summit (EMOOCs 2023).
The pandemic is fortunately over. It has once again shown how important digital education is. How well-prepared a country was could be seen in our schools, universities, and companies. In different countries, the problems manifested themselves differently. The measures and approaches to solving the problems varied accordingly. Digital education, whether micro-credentials, MOOCs, blended learning formats, or other e-learning tools, received a major boost.
EMOOCs 2023 focusses on the effects of this emergency situation. How has it affected the development and delivery of MOOCs and other e-learning offerings all over Europe? Which projects can serve as models for successful digital learning and teaching? Which roles can MOOCs and micro-credentials bear in the current business transformation? Is there a backlash to the routine we knew from pre-Corona times? Or have many things become firmly established in the meantime, e.g. remote work, hybrid conferences, etc.?
Furthermore, EMOOCs 2023 has a closer look at the development and formalization of digital learning. Micro-credentials are just the starting point. Further steps in this direction would be complete online study programs or full online universities.
Another main topic is the networking of learning offers and the standardization of formats and metadata. Examples of fruitful cooperations are the MOOChub, the European MOOC Consortium, and the Common Micro-Credential Framework.
The learnings, derived from practical experience and research, are explored in EMOOCs 2023 in four tracks and additional workshops, covering various aspects of this field. In this publication, we present papers from the conference’s Research & Experience Track, the Business Track and the International Track.
E-Mail tracking uses personalized links and pictures for gathering information on user behavior, for example, where, when, on what kind of device, and how often an e-mail has been read. This information can be very useful for marketing purposes. On the other hand, privacy and security requirements of customers could be violated by tracking. This paper examines how e-mail tracking works, how it can be detected automatically, and to what extent it is used in German e-commerce. We develop a detection model and software tool in order to collect and analyze more than 600 newsletter e-mails from companies of several different industries. The results show that the usage of e-mail tracking in Germany is prevalent but also varies depending on the industry.
Am 30. Juni 2018 fand die vierzehnte Konferenz des Forschungskreises Vereinte Nationen zum Thema „Herausforderungen für die gegenwärtige deutsche UN-Politik“ statt.
Die Konferenz widmet sich ihrem Schwerpunktthema in drei Vorträgen, in denen einerseits die offizielle Sicht des Auswärtigen Amtes dargestellt und andererseits die Herausforderungen aus wissenschaftlicher Perspektive analysiert werden. Tanja Brühl nimmt hierzu eine Gesamtbetrachtung der deutschen UN-Politik aus rollentheoretischer Sicht vor, während Theodor Rathgeber die deutsche Menschenrechtspolitik angesichts der im UN-Menschenrechtsrat bestehenden Herausforderungen untersucht.
Der Band enthält drei weitere Texte, die Forschungsergebnisse zu aktuellen Entwicklungen präsentieren. Klaus Hüfner erörtert das aktuelle finanzielle Engagement Deutschlands in den Vereinten Nationen. Yanina Bloch zieht eine Bilanz nach den ersten acht Jahren der Tätigkeit von UN Women. Helmut Volger analysiert neue Fortschritte bei der Reform der Arbeitsmethoden des UN-Sicherheitsrates.
Vom 18. bis 20. September 2014 versammelten sich an der Universität Potsdam kultur- und filmwissenschaftlich arbeitende Wissenschaftler zu einem Andrej Tarkovskij gewidmeten Symposium, dem ersten internationalen. Die 25 Teilnehmer kamen nämlich aus neun Ländern. Dadurch, dass nicht wenige auch eine – wie man heute sagt – „Migrationsbiographie“ haben, potenzierte sich die durch die jeweils unterschiedliche Herkunft bedingte Multiperspektivik, zu der jedoch der Modus der Wissenschaftlichkeit ein deutlich relativierendes Korrektiv bildet. Der vorliegende Band enthält im Wesentlichen die dort vorgestellten Beiträge, aber auch die der Fachleute, die nicht persönlich hatten nach Potsdam kommen können.
Kriminalliteratur gilt als zuverlässiger Seismograph für den inneren Zustand einer Gesellschaft, deren Umgang mit der Abweichung von der Norm zum Indikator sozialer und politischer Verhältnisse wird. Die gemeinsame Vergangenheit eint und trennt die Staaten Ostmittel-, Ost- und Südosteuropas gleichermaßen. Die schicksalhaften Verwerfungen des 20. Jahrhunderts fanden natürlich auch Eingang in die jeweiligen Kriminalliteraturen. So vielgestaltig wie die einzelnen Länder und Regionen sind die im vorliegenden Band untersuchten Texte. Sie ermöglichen einerseits Einblicke in den Herausbildungs- und Etablierungsprozess der Kriminalliteratur der Slavia. Andererseits bilden sie aktuelle Entwicklungen dieses ebenso populären wie zeitlosen Genres ab.
Das literarische Verbrechen hat Prof. Dr. Norbert P. Franz während seines aktiven akademischen Wirkens immer begleitet. Ihm zu Ehren fand im Frühjahr 2017 an der Universität Potsdam eine wissenschaftliche Tagung statt, deren Beiträge in diesem Band zusammengestellt sind.
Die Tagung HDI 2014 in Freiburg zur Hochschuldidaktik der Informatik HDI wurde erneut vom Fachbereich Informatik und Ausbildung / Didaktik der Informatik (IAD) in der Gesellschaft für Informatik e. V. (GI) organisiert. Sie dient den Lehrenden der Informatik in Studiengängen an Hochschulen als Forum der Information und des Austauschs über neue didaktische Ansätze und bildungspolitische Themen im Bereich der Hochschulausbildung aus der fachlichen Perspektive der Informatik.
Die HDI 2014 ist nun bereits die sechste Ausgabe der HDI. Für sie wurde das spezielle Motto „Gestalten und Meistern von Übergängen“ gewählt. Damit soll ein besonderes Augenmerk auf die Übergänge von Schule zum Studium, vom Bachelor zum Master, vom Studium zur Promotion oder vom Studium zur Arbeitswelt gelegt werden.
Plant invasions, resilience, economics, and restoration - can fynbos pay for alien management?
(2012)
In times of digitalization, the collection and modeling of business processes is still a challenge for companies. The demand for trustworthy process models that reflect the actual execution steps therefore increases. The respective kinds of processes significantly determine both, business process analysis and the conception of future target processes and they are the starting point for any kind of change initiatives. Existing approaches to model as-is processes, like process mining, are exclusively focused on reconstruction. Therefore, transactional protocols and limited data from a single application system are used. Heterogeneous application landscapes and business processes that are executed across multiple application systems, on the contrary, are one of the main challenges in process mining research. Using RFID technology is hence one approach to close the existing gap between different application systems. This paper focuses on methods for data collection from real world objects via RFID technology and possible combinations with application data (process mining) in order to realize a cross system mining approach.
The variability of bone strength and skeletal robustness of young men - how it can be influenced
(2011)
Virtual reality can have advantages for education and learning. However, it must be adequately designed so that the learner benefits from the technological possibilities. Understanding the underlying effects of the virtual learning environment and the learner’s prior experience with virtual reality or prior knowledge of the content is necessary to design a proper virtual learning environment. This article presents a pre-study testing the design of a virtual learning environment for engineering vocational training courses. In the pre-study, 12 employees of two companies joined the training course in one of the two degrees of immersion (desktop VR and VR HMD). Quantitative results on learning success, cognitive load, usability, and motivation and qualitative learning process data were presented. The qualitative data assessment shows that overall, the employees were satisfied with the learning environment regardless of the level of immersion and that the participants asked for more guidance and structure accompanying the learning process. Further research is needed to test for solid group differences.
Turning shy on winter's day effects of season on personality and stress response in Microtus arvalis
(2013)
Traditional production systems are enhanced by cyber-physical systems (CPS) and Internet of Things. A kind of next generation systems, those cyber-physical production systems (CPPS) are able to raise the level of autonomy of its production components. To find the optimal degree of autonomy in a given context, a research approach is formulated using a simulation concept. Based on requirements and assumptions, a cyber-physical market is modeled and qualitative hypotheses are formulated, which will be verified with the help of the CPPS of a hybrid simulation environment.
Process analysis usually focuses only on single and selected processes. It is either existent processes that are recorded and analysed or reference processes that are implemented. So far no evident effort has been put into generalising specific process aspects into patterns and comparing those patterns with regard to their efficiency and effectiveness. This article focuses on the combination of dynamic and holistic analytical elements in enterprise architectures. Our goal is to outline an approach to analyse the development of business processes in a cyclical matter and demonstrate this approach based on an existent modelling language. We want to show that organisational learning can derive from the systematic analysis of past and existent processes from which patterns of successful problem solving can be deducted.
Context-aware, intelligent musical instruments for improving knowledge-intensive business processes
(2022)
With shorter song publication cycles in music industries and a reduced number of physical contact opportunities because of disruptions that may be an obstacle for musicians to cooperate, collaborative time consumption is a highly relevant target factor providing a chance for feedback in contemporary music production processes. This work aims to extend prior research on knowledge transfer velocity by augmenting traditional designs of musical instruments with (I) Digital Twins, (II) Internet of Things and (III) Cyber-Physical System capabilities and consider a new type of musical instrument as a tool to improve knowledge transfers at knowledge-intensive forms of business processes. In a design-science-oriented way, a prototype of a sensitive guitar is constructed as information and cyber-physical system. Findings show that this intelligent SensGuitar increases feedback opportunities. This study establishes the importance of conversion-specific music production processes and novel forms of interactions at guitar playing as drivers of high knowledge transfer velocities in teams and among individuals.
With larger artificial neural networks (ANN) and deeper neural architectures, common methods for training ANN, such as backpropagation, are key to learning success. Their role becomes particularly important when interpreting and controlling structures that evolve through machine learning. This work aims to extend previous research on backpropagation-based methods by presenting a modified, full-gradient version of the backpropagation learning algorithm that preserves (or rather crystallizes) selected neural weights while leaving other weights adaptable (or rather fluid). In a design-science-oriented manner, a prototype of a feedforward ANN is demonstrated and refined using the new learning method. The results show that the so-called crystallizing backpropagation increases the control possibilities of neural structures and interpretation chances, while learning can be carried out as usual. Since neural hierarchies are established because of the algorithm, ANN compartments start to function in terms of cognitive levels. This study shows the importance of dealing with ANN in hierarchies through backpropagation and brings in learning methods as novel ways of interacting with ANN. Practitioners will benefit from this interactive process because they can restrict neural learning to specific architectural components of ANN and can focus further development on specific areas of higher cognitive levels without the risk of destroying valuable ANN structures.
The paper deals with the increasing growth of embedded systems and their role within structures similar to the Internet (Internet of Things) as those that provide calculating power and are more or less appropriate for analytical tasks. Faced with the example of a cyber-physical manufacturing system, a common objective function is developed with the intention to measure efficient task processing within analytical infrastructures. A first validation is realized on base of an expert panel.
As Industry 4.0 infrastructures are seen as highly evolutionary environment with volatile, and time-dependent workloads for analytical tasks, particularly the optimal dimensioning of IT hardware is a challenge for decision makers because the digital processing of these tasks can be decoupled from their physical place of origin. Flexible architecture models to allocate tasks efficiently with regard to multi-facet aspects and a predefined set of local systems and external cloud services have been proven in small example scenarios. This paper provides a benchmark of existing task realization strategies, composed of (1) task distribution and (2) task prioritization in a real-world scenario simulation. It identifies heuristics as superior strategies.
Already successfully used products or designs, past projects or our own experiences can be the basis for the development of new products. As reference products or existing knowledge, it is reused in the development process and across generations of products. Since further, products are developed in cooperation, the development of new product generations is characterized by knowledge-intensive processes in which information and knowledge are exchanged between different kinds of knowledge carriers. The particular knowledge transfer here describes the identification of knowledge, its transmission from the knowledge carrier to the knowledge receiver, and its application by the knowledge receiver, which includes embodied knowledge of physical products. Initial empirical findings of the quantitative effects regarding the speed of knowledge transfers already have been examined. However, the factors influencing the quality of knowledge transfer to increase the efficiency and effectiveness of knowledge transfer in product development have not yet been examined empirically. Therefore, this paper prepares an experimental setting for the empirical investigation of the quality of knowledge transfers.
Accelerating knowledge
(2019)
As knowledge-intensive processes are often carried out in teams and demand for knowledge transfers among various knowledge carriers, any optimization in regard to the acceleration of knowledge transfers obtains a great economic potential. Exemplified with product development projects, knowledge transfers focus on knowledge acquired in former situations and product generations. An adjustment in the manifestation of knowledge transfers in its concrete situation, here called intervention, therefore can directly be connected to the adequate speed optimization of knowledge-intensive process steps. This contribution presents the specification of seven concrete interventions following an intervention template. Further, it describes the design and results of a workshop with experts as a descriptive study. The workshop was used to assess the practical relevance of interventions designed as well as the identification of practical success factors and barriers of their implementation.
Faced with the triad of time-cost-quality, the realization of production tasks under economic conditions is not trivial. Since the number of Artificial-Intelligence-(AI)-based applications in business processes is increasing more and more nowadays, the efficient design of AI cases for production processes as well as their target-oriented improvement is essential, so that production outcomes satisfy high quality criteria and economic requirements. Both challenge production management and data scientists, aiming to assign ideal manifestations of artificial neural networks (ANNs) to a certain task. Faced with new attempts of ANN-based production process improvements [8], this paper continues research about the optimal creation, provision and utilization of ANNs. Moreover, it presents a mechanism for AI case-based reasoning for ANNs. Experiments clarify continuously improving ANN knowledge bases by this mechanism empirically. Its proof-of-concept is demonstrated by the example of four production simulation scenarios, which cover the most relevant use cases and will be the basis for examining AI cases on a quantitative level.
How messy is your news feed
(2020)
Social Networking Sites (SNSs) are pervasive in our daily lives. However, emerging reports suggest that people are increasingly dissatisfied with their experience of SNSs News Feeds. Motivated by the cognitive load theory, the paper postulates that arrangement and presentation of information are important constituents of one’s Facebook News Feed experience. Integrating these factors into the novel concept of ‘perceived disorder’, this paper hypothesizes that the perception of disorder elicited by the Facebook News Feed plays an important role in causing discontinuance intentions. Drawing on the Stressor-Strain-Outcome Model, we suggest that perceived disorder leads to SNS discontinuance intention and is partially mediated by SNS fatigue. The paper uses the responses of 268 Facebook users to investigate these relationships and introduces perceived disorder as a novel stressor. Besides adding to the existing body of literature, these insights are of relevance to internet service providers, policy makers and SNS users.
Aktuelle Fragen des Menschenrechtsschutzes : 1. Potsdamer Menschenrechtstag am 26. Oktober 2011
(2012)
Aus Anlass der Neubesetzung des Menschenrechtszentrums mit den Direktoren Prof. Dr. Andreas Zimmermann, LL.M. (Harvard) und Prof. Dr. Logi Gunnarsson fand am 26.10.2011 der Potsdamer Menschenrechtstag unter der Themenstellung „Aktuelle Fragen des Menschenrechtsschutzes“ statt. Ganz im Sinne der interdisziplinären Ausrichtung des MenschenRechtsZentrums der Universität Potsdam beschäftigten sich die beiden Direktoren in ihren Einführungsvorträgen aus ihrer jeweiligen Disziplin heraus mit philosophischen und rechtlichen Problemstellungen der Menschenrechte und ihres Schutzes.
Defining the allocation of decision rights for enterprise applications is a crucial issue in IT governance and organization design. Today, emerging delivery models such as Software as a Service (SaaS) defy the notion of the internal IT department as the focal point of centralized governance. Recognizing the importance of this issue, we find that the phenomenon of 'SaaS governance' itself is not yet well understood. Based on two cases of SaaS adoption, we take a process-theoretic approach to investigate the complex interaction between factors that influence in the allocation of SaaS authority. The results suggest that some factors, such as the locus of initiative and the decision for SaaS, interact with absorptive capacities and determine the later mode of application governance at a very early stage. Thus, the initiative for introducing SaaS emerges as an important intermediate variable between the overall IT governance mode and the resulting SaaS governance outcome.
The space-image
(2008)
In recent computer game research a paradigmatic shift is observable: Games today are first and foremost conceived as a new medium characterized by their status as an interactive image. The shift in attention towards this aspect becomes apparent in a new approach that is, first and foremost, aware of the spatiality of games or their spatial structures. This rejects traditional approaches on the basis that the medial specificity of games can no longer be reduced to textual or ludic properties, but has to be seen in medial constituted spatiality. For this purpose, seminal studies on the spatiality of computer games are resumed and their advantages and disadvantages are discussed. In connection with this, and against the background of the philosophical method of phenomenology, we propose three steps in describing computer games as space images: With this method it is possible to describe games with respect to the possible appearance of spatiality in a pictorial medium.
How games spoil creativity
(2020)
The demand for a creative workforce is every growing and effective measures to improve individual creativity are searched for. This study analyzes the possibility to use games as a prime for a creative mindset. Two short entertainment games, plus a no-game-comparison condition were set up in three versions of an online-study, along with two creativity tasks and scales to assess the individual creative mindset (fixed-vs-growth, creative self-efficacy and affect). Results indicate priming effects of the games, but in the opposite intended direction: gaming diminished the creative test performances. Those playing the games reported more ideas in the open-ended creative problem task, but those answers were of less quality and they solved less closed-problem items compared to those not playing. An impact of further mindset differences could be ruled out.
In the time of digitalization the demand for organizational change is rising and demands ways to cope with fundamental changes on the organizational as well as individual level. As a basis, learning and forgetting mechanisms need to be understood in order to guide a change process efficiently and successfully. Our research aims to get a better understanding of individual differences and mechanisms in the change context by performing an experiment where individuals learn and later re-learn a complex production process using a simulation setting. The individual’s performance, as well as retentivity and prior knowledge is assessed. Our results show that higher retentivity goes along with better learning and forgetting performances. Prior knowledge did not reveal such relation to the learning and forgetting performances. The influence of age and gender is discussed in detail.
Expanding modeling notations
(2021)
Creativity is a common aspect of business processes and thus needs a proper representation through process modeling notations. However, creative processes constitute highly flexible process elements, as new and unforeseeable outcome is developed. This presents a challenge for modeling languages. Current methods representing creative-intensive work are rather less able to capture creative specifics which are relevant to successfully run and manage these processes. We outline the concept of creative-intensive processes and present an example from a game design process in order to derive critical process aspects relevant for its modeling. Six aspects are detected, with first and foremost: process flexibility, as well as temporal uncertainty, experience, types of creative problems, phases of the creative process and individual criteria. By first analyzing what aspects of creative work modeling notations already cover, we further discuss which modeling extensions need to be developed to better represent creativity within business processes. We argue that a proper representation of creative work would not just improve the management of those processes, but can further enable process actors to more efficiently run these creative processes and adjust them to better fit to the creative needs.
Reward expectation and affective responses across psychiatric disorders - A dimensional approach
(2014)
We welcome you to the 54th Hawaii International Conference on System Sciences (HICSS-54) conference. This is the fifth year for the Organizational Learning Minitrack which has had the usual growing pains: two years ago, we added the topic of Unlearning and joined with the Intentional Forgetting Minitrack - as these topics are all organizationally-based knowledge management issues. We proudly bring you the latest research focused on the methods to develop and maintain organizational learning within the Knowledge Innovation and Entrepreneurial Systems Track. The ability to update, change and use current knowledge effectively, especially in light of the ongoing knowledge explosion, can be costly for any organization. Organizations that consider themselves “learning” or “knowledge-based” organizations must develop a competent workforce using KM strategies. Success in organizations involves developing a variety of human factors for changing competencies. With technological change, modification and revisions, many skills require updating for a competitive advantage in the marketplace. The focus on new techniques and insights into how individuals and organizations use their knowledge is our focus for the improvement of organizational
learning in this Minitrack.
We welcome you to the 53rd Hawaii International Conference on System Sciences (HICSS) conference. After joining with Intentional Forgetting Minitrack last year, this is the fourth year of the Organizational Learning Minitrack. We add Unlearning, and Intentional Forgetting to proudly bring you the latest research focused on organizational learning issues within the Knowledge Innovation and Entrepreneurial Systems Track. The ability to update, change and use current knowledge effectively, especially in light of the ongoing knowledge explosion, can be costly for any organization. Organizations that consider themselves “learning” or “knowledge-based” organizations must develop a competent workforce using KM strategies. Success in organizations involves developing a variety of human factors for changing competencies. With technological change, modification and revisions, many skills require updating for a competitive advantage in the marketplace. The focus on new techniques and insights into how individuals and organizations use their knowledge is our focus for the improvement of organizational learning in this Minitrack.
Observing inconsistent results in prior studies, this paper applies the elaboration likelihood model to investigate the impact of affective and cognitive cues embedded in social media messages on audience engagement during a political event. Leveraging a rich dataset in the context of the 2020 U.S. presidential elections containing more than 3 million tweets, we found the prominence of both cue types. For the overall sample, positivity and sentiment are negatively related to engagement. In contrast, the post-hoc sub-sample analysis of tweets from famous users shows that emotionally charged content is more engaging. The role of sentiment decreases when the number of followers grows and ultimately becomes insignificant for Twitter participants with a vast number of followers. Prosocial orientation (“we-talk”) is consistently associated with more likes, comments, and retweets in the overall sample and sub-samples.
Die Tagungsreihe zur Hochschuldidaktik der Informatik HDI wird vom Fachbereich Informatik und Ausbildung / Didaktik der Informatik (IAD) in der Gesellschaft für Informatik e. V. (GI) organisiert. Sie dient den Lehrenden der Informatik in Studiengängen an Hochschulen als Forum der Information und des Austauschs über neue didaktische Ansätze und bildungspolitische Themen im Bereich der Hochschulausbildung aus der fachlichen Perspektive der Informatik. Diese fünfte HDI 2012 wurde an der Universität Hamburg organisiert. Für sie wurde das spezielle Motto „Informatik für eine nachhaltige Zukunft“ gewählt, um insbesondere Fragen der Bildungsrelevanz informatischer Inhalte, der Kompetenzen für Studierende informatisch geprägter Studiengänge und der Rolle der Informatik in der Hochschulentwicklung zu diskutieren.
Timing and magnitude of surface uplift are key to understanding the impact of crustal deformation and topographic growth on atmospheric circulation, environmental conditions, and surface processes. Uplift of the East African Plateau is linked to mantle processes, but paleoaltimetry data are too scarce to constrain plateau evolution and subsequent vertical motions associated with rifting. Here, we assess the paleotopographic implications of a beaked whale fossil (Ziphiidae) from the Turkana region of Kenya found 740 km inland from the present-day coastline of the Indian Ocean at an elevation of 620 m. The specimen is similar to 17 My old and represents the oldest derived beaked whale known, consistent with molecular estimates of the emergence of modern straptoothed whales (Mesoplodon). The whale traveled from the Indian Ocean inland along an eastward-directed drainage system controlled by the Cretaceous Anza Graben and was stranded slightly above sea level. Surface uplift from near sea level coincides with paleoclimatic change from a humid environment to highly variable and much drier conditions, which altered biotic communities and drove evolution in east Africa, including that of primates.
Non-oxidized, biological active parathyroid hormone determines motality in hemodialsysis patients
(2013)
The International Conference on Informatics in Schools: Situation, Evolution and Perspectives – ISSEP – is a forum for researchers and practitioners in the area of Informatics education, both in primary and secondary schools. It provides an opportunity for educators to reflect upon the goals and objectives of this subject, its curricula and various teaching/learning paradigms and topics, possible connections to everyday life and various ways of establishing Informatics Education in schools. This conference also cares about teaching/learning materials, various forms of assessment, traditional and innovative educational research designs, Informatics’ contribution to the preparation of children for the 21st century, motivating competitions, projects and activities supporting informatics education in school.
Myriam Yardeni a consacré des travaux à l'histoire de la Réforme, à la pensée politique et à l'historiographie des Huguenots, aux changements d'attitude envers le peuple juif, à l'Église du Désert, mais aussi au Refuge en Allemagne et en particulier en Prusse. Sans pouvoir retracer ici toute cette partie de son itinéraire de recherche, ni même étudier à fond ses contributions majeures à la recherche sur le Refuge en Prusse, ce texte ne veut qu'apporter un témoignage sur la vitalité et la productivité de sa méthode de recherche.