Finance, Insurance & Property

Profilbild Prof. Lessmann
Faculty of Economics and Business Administration

Chair of Information Systems

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Expertise

Professor Lessmann's research focuses on machine learning and artificial intelligence (MLAI) methodologies and their use cases in managerial decision support. Areas of interest include but are not limited to explainable AI, causal/interpretable machine learning, natural language processing, predictive analytics and time series forecasting.

He is specialized in MLAI applications in the broad scope of marketing and risk analytics. He is also actively involved in knowledge transfer, professional education and consulting projects with industry partners ranging from start-ups to global players and non-profit organizations.

http://humboldt.gmbh/forschungskooperation

Scientific Services
  • Prototyping, evaluation, and benchmarking of ML/AI-based prediction and decision models
  • Development of PD, LGD, and EAD forecasting models
  • Processing of textual data for knowledge extraction
  • Assessment of the information value of commercially available data sources (e.g., credit bureau data) for predictive modeling
  • Estimation of personalized, individual-level treatment effects
  • Professional education in ML/AI, data science and business analytics

FinTech - Based on concepts of Bayesian statistics and semi-supervised machine learning, Professor Lessmann and his team have developed a system to solve the problem of inference rejection in the lending industry. Their solutions provide significantly better risk scorecards and make it easier for lenders to predict the predictive power of a scorecard (e.g., the PD) in operation. The project was conducted with a leader in the microcredit space.

E-commerce - Together with WebTrekk and Uebermetrics, Lessmanns working group is developing an AI-driven web controlling system that examines web metric time series (page views, visits, bounce rates, checkouts, sales, etc.) and identifies the causes of observed patterns (e.g., anomalies). To this end, their system integrates deep causal detection algorithms based on reinforced learning and xAI methods. To extend the scope of their root cause explanations, they also monitor various social media streams and use advanced NLP algorithms for event detection. The unique combination of these AI concepts provides web controllers and store managers with advanced insights into their business operations.

Digital marketing - Lessman and his team have developed advanced causal machine learning models for real-time targeting of e-coupons and other digital marketing stimuli. Their optimal (i.e., profit-maximizing) methodology includes both single and multiple treatment scenarios and leverages traditional supervised learning algorithms to enable cost-effective deployment.

Professor Lessmann has taught a number of professional education courses in subject areas such as credit risk modeling, fraud detection, advanced analytics, and machine learning, to name a few. Some of these courses are offered as part of the SAS Business Knowledge Series, but are also available on the R and Python platforms. Requests for professional development in the areas of his expertise are welcome.

 

  • funding by various bodies including DFG, DAAD, IBB (e.g. Transfer Bonus, ProFIT)
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Profilbild Nuissl
Faculty of Mathematics and Natural Sciences
Department of Geography

Applied geography and spatial planning

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Company testimonials

City of Munich
vhw Bundesverband für Wohnen und Stadtentwicklung (Federal Association for Housing and Urban Development)
FGW - Forschungsinstitut für die gesellschaftliche Weiterentwicklung (North Rhine-Westphalia)
CBRE

Expertise

Prof. Nuissl is concerned with the development of cities and regions. He investigates the growth of cities and settlement areas, dynamics on the housing market (esp. displacement processes) as well as the development of city districts and neighborhoods. In addition, one focus of his work is the analysis of municipal planning and policy processes. As a member of the Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys), Prof. Nuissl has excellent interdisciplinary connections in his field of research.

Scientific Services
  • Contract research (qualitative and quantitative social science methods)
  • Expert reports
  • City of Munich: Case Study on Displacement Processes in the Housing Market and Derivation of Urban Policy Implications (https://www.muenchen.de/rathaus/Stadtverwaltung/Referat-fuer-Stadtplanu…)

  • vhw Bundesverband für Wohnen und Stadtentwicklung (Federal Association for Housing and Urban Development): Study on the change of local political cultures in a polarized society

  • FGW - Forschungsinstitut für die gesellschaftliche Weiterentwicklung (North Rhine-Westphalia): Study on the integration of migrants in the neighborhood (https://www.fgw-nrw.de/forschungsergebnisse/forschungsergebnisse/projek…)

  • CBRE: Data collection on student housing in Germany

  • IRI THESys - Integrative Research Institute on Transformations of Human-Environment Systems at the Humboldt University of Berlin

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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 Jan Mendling
Philipp Simonis
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Process Management and Information Systems

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Expertise

Mendling's research focuses on the question how business processes can be efficiently and effectively supported by information systems. To this end, Mendling and his team address questions of the information technology as well as of managerial questions.

Within the framework of business process management they developed a series of technical solutions for process mining and also management tools like the BPM Billboard.

The expertise of Mendling and his team is summarized in the seminal textbook "Fundamentals of Business Process Management", which is used by over 250 universities in 70 countries.

http://humboldt.gmbh/forschungskooperation

Scientific Services
  • cooperation with businesses from different branches
  • design of training concepts for process management
  • performance of training courses and projects for process improvement
  • development of new analysis software for business processes

In the context of his projects, Mendling worked together with many medium-sized companies and DAX-companies from different branches. 

LL.M. Digitalization and Tax Law

 

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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 Helbrecht
Faculty of Mathematics and Natural Sciences
Department of Geography

Cultural and Social Geography

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Company testimonials

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)

Expertise

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
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Weidlich
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Databases and Information Systems

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Expertise

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.

Scientific Services

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
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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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