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IRIS LORSCHEID

Professor for Digital Business & Data Science

 

Vice-Rector Research

University of Europe for Applied Sciences

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.

Designer Notebook
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.

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Decisions

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

ARTIFICIAL INTELLIGENCE

NLP, Chatbots, Learning Agents, Deep Learning, Machine Learning

ALGORITHMS

Algorithms & Data Structures

DATA ANALYTICS

Understanding complexity through data

BIG DATA MANAGEMENT

Business Programs

MATH

Math for digital Technologies

Statistics