Is data science predominantly statistics or mathematics

Thorsten Dickhaus in an interview about his research and data science








24.02.2021
| Inside Data Science |


In the series of interviews “Inside Data Science” we present our members as well as their activities and interests.

Today with Thorsten Dickhaus, Professor of Statistical Mathematics at Faculty 3 - Mathematics and Computer Science at the University of Bremen.
What topics are you currently working on in your research?
My main research topics are simultaneous statistical inference and multiple statistical hypothesis testing, with multiple applications in the life and economics sciences.

How important is data to your research?
Statistical methods have to prove themselves when applied to real data. That's why data is an essential part of my research.

What role does data science play in your research: Do you see yourself more as a user, a method developer, a basic researcher or maybe something completely different?
Mainly as a method developer.

Which data science processes and technologies are the focus of your research or which could be interesting in the future?
Mathematical Statistics develops and analyzes procedures for the statistical analysis of data. Theoretical concepts of probability theory, mathematical optimization and other mathematical areas are used as well as special software solutions.

What are your big challenges when dealing with data?
Every real data record has a technical connotation. This results in exciting and fruitful discussions with specialists from other scientific disciplines. This inherently interdisciplinary aspect of statistical research is both a challenge and an enrichment.

And finally, what is your personal motivation to take part in the Data Science Center?
I expect my work in the Data Science Center to establish contacts with researchers who have exciting data sets and related research questions that we can address together.


You can find out more about Thorsten Dickhaus’s activities on February 25, 2021 in his article "Application-oriented research in statistics - Analysis of complex data" in the Data Science Forum.



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02/24/2021 | Inside data science


In the series of interviews “Inside Data Science” we present our members as well as their activities and interests.

Today with Thorsten Dickhaus, Professor of Statistical Mathematics at Faculty 3 - Mathematics and Computer Science at the University of Bremen.
What topics are you currently working on in your research?
My main research topics are simultaneous statistical inference and multiple statistical hypothesis testing, with multiple applications in the life and economics sciences.

How important is data to your research?
Statistical methods have to prove themselves when applied to real data. That's why data is an essential part of my research.

What role does data science play in your research: Do you see yourself more as a user, a method developer, a basic researcher or maybe something completely different?
Mainly as a method developer.

Which data science processes and technologies are the focus of your research or which could also be of interest in the future?
Mathematical Statistics develops and analyzes procedures for the statistical analysis of data. Theoretical concepts of probability theory, mathematical optimization and other mathematical areas are used as well as special software solutions.

What are your big challenges when dealing with data?
Every real data set has a technical connotation. This results in exciting and fruitful discussions with specialists from other scientific disciplines. This inherently interdisciplinary aspect of statistical research is both a challenge and an enrichment.

And finally, what is your personal motivation to take part in the Data Science Center?
I expect my work in the Data Science Center to establish contacts with researchers who have exciting data sets and related research questions that we can address together.


You can find out more about Thorsten Dickhaus’s activities on February 25th, 2021 in his article "Application-oriented research in statistics - Analysis of complex data" in the Data Science Forum.

Interview partner:
Prof. Dr. Thorsten Dickhaus
Professor of Statistical Mathematics
FB 03 - Mathematics and Computer Science
[email protected]


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