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IRIS LORSCHEID

Professor for Digital Business & Data Science

 

Vice-Rector Research

University of Applied Sciences Europe

Hamburg, Germany

RESEARCH

Data Science is about enhancing the understanding of social and economic processes through data. The results from data should start discussions and further considerations - they are not the end. In my research I use data in simulation research. Connecting data with simulation provides the opportunity to analyse scenarios beyond observations, identify interdependencies in processes, and derive theory.

Agents for Theory

Although machine learning can come to great results for big data sets, there are some methodical pitfalls from which we potentially may draw wrong conclusions. To understand these results on a deeper level, models are needed that can include theories of individual behaviour in dynamic contexts.

Dark Data

Worldwide we collect far more data than we can process. Large amounts of so-called "dark data" therefore slumber in our servers. New perspectives and the continuous development of new analysis methods direct our attention to dark data, which can also reach far into the past. This leads to many fears, but also holds great potential - not only from a business perspective...

Decisions in the Digital World

Most decisions are nowadays based on data or happen in a digital space. This requires the consideration of individual distortions of perceptions and team decision processes. Applying a mixed-method approach, I use laboratory experiments and simulation to model decision-making processes...

 
 
Teaching Portfolio

PROGRAMMING

Languages: Python, R, Java

MATH

Statistics and Stochastics

Math in digital Technologies

ANALYTICS

Understanding Complexity through Data and Simulation 

SIMULATION METHODS

Agent-based Simulation

Monte-Carlo Simulation

RESEARCH

Thesis Colloquium

Scientific Writing

ALGORITHMS

Algorithms & Data Structure

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KONTAKT

University of Applied Sciences Europe, Museumstraße 39, 22765 Hamburg

 
 

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