Management & Entrepreneurship

Dr. Lilge
Faculty of Humanities and Social Sciences
Department of Cultural History and Theory

gamelab.berlin

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Expertise

Dr. Lilge, founder of gamelab.berlin, is working on the conception and implementation of digital and analog learning and experience offerings that use playful elements to generate continuous motivation throughout the entire period of use. Examples of such offerings include serious games, i.e., serious games that pursue specific learning objectives; gamified apps, i.e., applications that contain playful aspects; digital and analog exhibits; and immersive room design that immerses the user in a captivating experience. The goal is that people, through these interactive and engaging learning methods, will be motivated to expand their knowledge and actively engage with the content. In addition to his work as a researcher on the cultural technique of games, he advises companies and organizations on the topics of gamification and human focused design.

Scientific Services
  • Conception and testing of digital prototypes
  • Consulting on interdisciplinary innovation projects

Twiddle - mobile game for 8 research museums of the Leibniz Association
Polarstern 360° - Virtual and Augmented Reality Exhibition at the Bremerhaven Maritime Museum
Snapture - mobile game for teaching image literacy for the Bode-Museum Berlin
Mein Objekt - playful knowledge transfer for e.g. Humboldt-Forum Berlin, Badisches Landesmuseum, a.o.

Gamification Expert Level 3 of the Engagement Alliance and
certified Octalysis Framework user

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Prof. Danilov
Faculty of Economics and Business Administration

Management

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Expertise

Professor Danilov is engaged in empirical human resource management research, as well as the identification of causal relationships of the effect of human resource management tools on employee motivation and productivity. She also conducts research in organizational and human resource economics, in the field of empirical human resource management (HRM), and in the course of this she works with Big Data and People Analytics using machine learning.

 

Scientific Services
  • randomized studies (A/B tests) on incentive setting
  • work design and employee motivation
  • analysis of data (accounting, personnel, etc.)
  • "Delegation of decision making and productivity and employee satisfaction" at a world-leading energy company.
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Profilbild Professor Ziegler
Faculty of Life Sciences
Department of Psychology

Psychological Diagnostics

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Expertise

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.

Scientific Services
  • 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.

     

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Profilbild Härdle
Faculty of Economics and Business Administration
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Expertise

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.

Scientific Services
  • 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
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