Knowledge Management
Humboldt Forum
Charité
Dr. Stein has a lot of experience with the conception and development of serious games and gamification for knowledge transfer, especially for museums, cultural institutions and in medicine. As a Germanist and computer scientist, he masters both the conceptual and cultural perspective as well as the technical of implementation. He has led over 15 software development projects in the areas of App, VR, AR and Browser Apps. When it comes to imparting knowledge and gaining experiences, games are the medium of our time, according to Dr. Stein. As a researcher and game developer, he is particularly interested in exciting mediation challenges.
http://humboldt.gmbh/forschungskooperation
Dr. Stein develops concepts for knowledge transfer games, Serious Games and Gamification. He is also involved in software development, implementation and testing. He also offers workshops on VR and games as a cultural technique.
The following software projects were all developed iteratively and agilely in an academic context according to Dr. Stein's conception. In addition, they were tested and published under his leadership and represent a significant part of his publications.
Mein Objekt
- Mein Objekt
is an innovative museum game that enables visitors to engage in dialogue with objects, seeking to transform digital habits into cultural interest. Using machine learning and adaptive language, an adaptation of the application to the individual visitor is ensured, resulting in a personalized, interest-driven museum tour. The project was developed for the Humboldt Forum as part of museum4punkt0 and will be used there for the first time when it opens. It is developed in React Native and is used BYOD for Android and iOS.
Diary
-
Diary is a tool for exploring scientific interdisciplinary work and has been developed for the Experimantalzone of the Cluster of Excellence Image Knowledge Gestaltung to better understand interdisciplinary collaboration. It is developed for macOS in Objective-C and can record, visualize and synchronize activities such as software usage, keystrokes, activity cycles and more with a server. It is used to explore digital working practices and habits across disciplines and also benefits users in terms of self-reflection on their working practices.
iWrite
- iWrite is a gamified tool to improve scientific writing processes. It is developed for macOS in Objective-C and allows the user to organize writing processes into focused sessions, eliminate distractions, visualize progress, and schedule writing sessions. It also unlocks step-by-step tips and videos from writing experts.
BWG VR
- BWG VR is an interactive, stereoscopic 360° experience for virtual reality headsets that shows the Cluster of Excellence Image Knowledge Gestaltung in its various spaces and presents actors of the cluster exemplarily in their working environments. The connection between space, objects and people is presented and the complex configuration of different actors is made tangible.
Singleton
- Singleton is a game for integrating personal goals into everyday life and individual development based on self-imposed priorities based on theoretical principles from psychology and game studies. It is developed in Unity Mobile for Android and iOS and allows entertaining and goal-oriented microinterventions in a level system based on individually generated card decks. It is based on the Big 5 character traits and dynamically assigns specific card packs individually to the user.
ID+Lab
- ID+Lab is the prototypical front-end of a publication platform designed to publish interdisciplinary research as a network and to show connections that otherwise remain hidden. It is developed as a web application and is based on Semantic Web technologies with GraphDB in the background. Publications are modeled here as a semantic network and visualized dynamically and intuitively. A DFG research proposal to deepen the project is currently under review.
Reading Revisited
- Reading Revisited is a VR application that tests reading in virtual reality and dynamically integrates various texts into moving landscapes. It explores the question of what influence reading environments have on comprehension and memorization and whether text can be thought of as a combination of environment and reading. Texts from the cooperating publisher Merve Verlag can be read and experienced in VR and can be received in a specially developed environment.
Bee Virtual
- Bee Virtual is a collaborative VR application in which two subjects control virtual bees by gaze direction and steer them through a virtual space. It was developed in Unity 3D for Oculus Rift. This is modeled on the physical space of the Central Laboratory Room of the Cluster of Excellence Image Knowledge Gestaltung. In an experimental setting, it was investigated how objects are remembered in VR, how virtual spaces can be transferred to physical ones, and to what extent communication among the test subjects influences the remembering of environmental properties.
PlosOne Metadata Extractor
- PlosOne Metadata Extractor is a browser plugin that extracts metadata in lists of PlosOne publications including abstracts, making them processable and analyzable for text mining.
Decide & Survive
- Decide & Survive is a game that makes it possible to experience decision-making processes in foreign policy contexts and aims to investigate the influence of user interfaces on player decisions by using both aggressive and neutral interfaces and sounds. It is developed in Java with JavaFX and runs server-side via PHP.
OncoLogg
- OncoLogg is a game designed for multiple myeloma patients and their families to educate them about therapies, risks and side effects. It lets the player experience different therapy cycles and refocuses from healing to achieving life goals. The game was developed together with the Charité in Java for Android.
iglos
- iglos, or the Intelligent Glossary, is a semantic network design application intended to identify and facilitate terminology and comprehension problems in interdisciplinary academic projects. It is browser-based developed with web technology and RDF/OWL compatible.
- Workschops
Forum Junge Spitzenforscher 2013: Project Big Data for Knowledge Networks
workshop on the analysis of Twitter data for Stiftung Wissenschaft und Politik (SWP)
Professor Jäschke and his team develop and optimize methods in the areas of Big Data and Machine Learning, especially in the aplication fields of Natural Language Processing, Social Bookmarking and Recommendation Systems. This includes the Collection (e.g. through focussed Crawling), Compilation, Annotation (e.g. by means of Crowdsourcing) and Curation of suitable records (data sets).
Further, it includes the Adaptation and Improvement of appropriate Algorythms (e.g. Named Entity Recognition, Classification, Clustering, Information Extraction, etc.) culminating in the development of web-based analysis platforms.
- Hadoop-Cluster
- GPU calculator
- diverse datasets
Accor Hotels Germany
SHS VIVEON realisation of training for interviewers
International executive headhunting company: development of customised personality test
Prof. Ziegler's expertise and that of his team lies in the field of psychological diagnostics and deals with all topics of personnel diagnostics in the HR life cycle. They focus on personality, intelligence and situational awareness. Ziegler and his team develop solutions to measure these in relation to requirements and to use them for performance or learning prediction. Therefore they use the full range of qualitative (e.g. interviews) and quantitative methods (e.g. tests, questionnaires, machine learning).
Prof. Ziegler has already carried out several successful projects with well-known companies in this area, involving the creation of competency models, employee surveys, annual appraisals or job aptitude diagnostics. Prof. Ziegler's working group also trains individuals or teams on topics of personnel diagnostics (e.g. assessment centers or interviews). In addition, Prof. Ziegler develops customized diagnostic processes or evaluates them.
- PC lab with 10 workstations and various performance and personality tests
- Online surveys
- Data analysis
- Consulting
- Trainings - wide range of topics
-
Competence model development - Prof. Ziegler and his team have developed competence models for different professions for various clients and made them measurable
-
Accor Hotellerie Deutschland GmbH: Development of competence models
-
SHS VIVEON AG: Implementation of interviewer trainings
-
International headhunting company for executives: Development of a customized personality test
-
Evaluation and optimization - In these projects Prof. Ziegler looks at existing personnel processes, evaluates their quality from a psychological point of view and develops optimizations.
IT system house
IT product manufacturer
international pharmaceutical company
medium-sized biotechnology company
The research of Prof. Leser and his group is focused on all aspects of management, integration and analysis of heterogeneous, large and distributed data sets including natural language texts (text-mining and information extraction). This encompasses subjects such as data warehouses and ETL, graph databases, deep web and semantic web, machine learning, similarity search, scientific workflows, statistical methods of data analysis as well as methods for assessing and securing data quality. The team of Professor Leser conducts research in a variety of interdisciplinary projects, especially with colleagues from the life sciences covering the range from basic molecular biology to Systems Medicine.
Very good IT-facilities:
- several state-of-the-art parallel computer cluster (20-80 CPUs, 1 TB main memory)
- cluster with 60+ cores
- 50TB+ storage
- For an IT service provider: Consultancy and prototype development in the field of master data standardisation and integration
- For an IT-manufacturer: Development and valuation of algorithms for analysing data quality
- For an international pharmaceutical company: Consultancy and development of text-mining-procedures in biomarker development
- For a medium-sized biotech company: Joint system development (partly funded by the German Federal Ministry for Economic Affairs and Energy) in the field of human genotype changes evaluation
Model-driven engineering raises the level of abstraction in software engineering by using models as primary development artifacts. In particular, domain-specific modelling languages can ease the transition between informally sketched requirements or designs and implementations by supporting high-level yet formal representations as a starting point for automation. Moreover, using a model-based development approach, critical system properties can be analyzed, validated and verified even before the system is actually built. Model-driven development thus leads to an increase in both productivity and quality. To some extent, model-driven engineering has made its way into industrial practice, most notably for the development of embedded systems in various domains. However, model-driven engineering does not suffice to successfully manage all challenges of modern software engineering, and actually creates new problems. Research conducted at the Chair of Model-driven Software Engineering is particularly driven by relevant challenges and problems arising from the adoption of the model-driven engineering paradigm in industrial practice.
- Experience in implementing model-based development engineering methods, techniques and processes
- Know-how regarding the set-up of model-based transformation chains (domain-specific modeling languages, model transformation and interpretation, code generation) and development environments (collaborative modeling, (co-)evolution of models, model repair and synchronization)
- Expertise in the field of version and variant management, especially customized configuration management and software product lines
- Collaboration with a Berlin-based software company on the development of innovative software architecture analysis techniques for the quality assurance of embedded systems
- Consulting for a major German automotive supplier with regard to fundamental questions of configuration management of models for the model-driven development of embedded systems
- Support of an international electrical engineering corporation with the model-based development of software components for a new generation of internet-based multimedia building communication systems
ARGE Ansiedlungsmanagement Friedrichshain-Kreuzberg (c/o Friedrichshain-Kreuzberger Unternehmerverein e.V.), Wüstenrot Foundation, Senator of Economic Affairs, Labour and Ports, Bremen, Bayerische Motorenwerke AG (BMW)
Prof. Helbrecht focusses her research on the cultural, social and spatial development of cities. She investigates urban branding, city image and identity as well as the marketing thereof. Neighbourhood and urban development policies, urban governance, housing markets and demographic change are also topics of her research. Furthermore, Prof. Helbrecht conducts analyses of social space and studies concerning the public sphere and space. As the director of the Georg-Simmel-Centre for Metropolitan Studies (Georg-Simmel-Zentrums für Metropolenforschung / GSZ), platform for interdisciplinary urban research, and as a member of the Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys) Prof. Helbrecht is well connected in her field of expertise and prepared for interdisciplinary research projects.
- ARGE Ansiedlungsmanagement Friedrichshain-Kreuzberg (c/o Friedrichshain-Kreuzberger Unternehmerverein e.V.): scientific accompanying research on conflicts concerning commercial asset management of the night-economy in Kreuzberg
- Wüstenrot Foundation: „Wohneigentum in Europa“ - Analysis of residential property in Europe and of the factors influencing home ownership quotas in cooperation with the ifo Institute (Leibniz Institute for Economic Research at the University of Munich)
- Senator of Economic Affairs, Labour and Ports, Bremen: „Engpassfaktor Humankapital: Strategien der Bremer Wirtschaftsförderung zur Attraktion von Hochqualifizierten als Standortvoraussetzung der High-Tech-Industrie“ - Analysis of factors influencing (re-)location decisions of highly qualified professionals in a specific region for high-tech industry
- Bayerische Motorenwerke AG (BMW): „Der Kunstpark Ost: Wirtschaftliche und kulturelle Bedeutung für München“
- Georg-Simmel-Centre for Metropolitan Studies (Georg-Simmel-Zentrum für Metropolenforschung / GSZ): interdisciplinary platform for collaborative research for metropolitan studies. Its goal is to contribute fundamentally to future urban development, regionally and internationally. Main topics of this interdisciplinary approach are: urban change, the cultural base of and social momentum in cities, sustainable urban development, and internationalisation of urban studies
- IRI THESys - Integrative Research Institute on Transformations of Human-Environment Systems: the institute’s purpose is the interdisciplinary transformation research focusing on land use and use of resources, processes of urbanization in the 21st century, effects of climate change, as well as intra- and inter-generational environmental justice
The Logic in Computer Science group focuses on theoretical computer science, with emphasis on logic, database theory, and complexity theory. Particular attention is paid to the relations between these areas. For example, logics serve as a basis for database query languages and specification languages used for automatic verification, and many aspects of complex systems can be modeled by logical structures. Thus, properties of complex systems can be specified by logical formulas. The overall aim of our group is to gain better understanding of the complexity inherent in a problem or a system. Here, we are interested in various measures of complexity, including the computational complexity ("How difficult is it to algorithmically solve the problem?") and the descriptive complexity ("How difficult is it to describe the problem in a suitable formalism?"). Particular attention is paid to the connection between logical description of problems and efficient algorithmic solutions.
Prof. Weidlich chairs a research group on "Databases and Information Systems" at the Department of Computer Science. Earlier, he held positions at Imperial College London and the Technion - Isreal Institute of Technology. The group focuses on data-driven analysis of process-oriented systems (process mining), approaches for efficient processing of continuous data streams, as well as methods for the design of workflows for exploratory data analysis. The algorithms and systems developed by the group have been successfully applied in diverse domains, reaching from health care through logistics to e-commerce.
Consulting and knowledge transfer in
- Process Mining, data-driven analysis of processes
- Scalable infrastructures for data stream processing
- Design of data analysis workflows
- for a leading US cancer clinic: analysis and improvement of clinical processes based on the data of a real-time-locating-system
- for an international oil and gas group: development of techniques for detecting irregularities in streams of sensor data
- for a manufacturer of enterprise software: design of algorithms for efficient analysis of business process executions
Prof. Haerdle’s main research interests are quantitative finance, esp. multivariate methods in banking and finance, dimension reduction techniques, and computational statistics. In his roles both as coordinator of the Collaborative Research Center “Economic Risk” (CRC 649) and director of the interdisciplinary Center for Applied Statistics and Economics (C.A.S.E.) he primarily investigates economic risks on a global scale. Prof. Haerdle’s research aims at facilitating the evaluation of such risks and to reduce uncertainty to improve economic actors’ decision-making.
Prof. Haerdle is Distinguished Visiting Professor Wang Yanan Institute for Studies in Economics (WISE) at Xiamen University, China, as well as director of the International Research Training Group “High Dimensional Non Stationary Time Series” (ITRG 1792). Among other distinctions he received the “Econometric Theory Multa Scripsit Award” in 2012.
- multivariate statistical analysis (factor analysis, cluster Analysis, etc.)
- portfolio optimisation
- risk management
- hedging
- pricing derivatives
- functional data analysis
- non- and semi-parametric methods
- data visualisation
- Ongoing cooperation with and lecturing for leading international financial institutions
- Center for Applied Statistics and Economics (C.A.S.E.): interdisciplinary research centre with the goal to analyze and solve current complex economic problems and those arising in related fields with the help of quantitative methods and computing. Its research subjects range from weather risk, aging societies, crime to property markets
- Collaborative Research Center “Economic Risk” (CRC 649): center of transdisciplinary research where insights from economics, mathematics and statistics converge to analyze economic risks and risk factors. The CRC offers an international platform for discussion of the latest research results and collaborations