Bielefeld Center for Data Science

Data science is an interdisciplinary and holistic approach that aims at turning data into knowledge and value. It includes

  • the extraction, preparation, exploration, transformation, storage and retrieval of quantitative (“structured”) and qualitative (“unstructured”) data

as well as

  • the explanation, interpretation and exploitation of results using techniques from
  • statistics, computer science and a wide range of application areas.

In addition, data science focuses on the (further) development of new methods and competencies as well as on research data management and data security.
 

Data Science-"Life Cycle"

Grafic Data Science Life Cycle

Bielefeld Center for Data Science (BiCDaS) is a university-wide initiative encompassing a wide range of disciplines interested in data science. It combines existing expertise in

  • statistics, machine learning and research data management

as well as in application areas such as (in alpha order)

  • biology, business administration, computer science, data management, economics, information technology, digital humanities, law, librarianship, linguistics, physics, psychology, public health and sociology

in order to turn quantitative (“structured”) and qualitative (“unstructured”) data into knowledge and value.

The center acts as a focal point for researchers and students who enjoy the profound exchange on new challenges and solutions in data science.
 

Key Elements of BiCDaS

Grafic Data Science Life Cycle

News

Second Lecture online

The second lecture of our lecture series on Data Science in online.

have a look...

Big Data Science in Astroparticle Research

Date: February 19th - 21st, 2018
Place: RWTH Aachen University
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Aim: The Workshop will deal with the application of methods from Data Science and BigData (particularly Deep Learning) to astrophysics.

Bio-Math

BiCDaS member Prof. Ellen Baake has been elected to the board of the European Society for Mathematical and Theoretical Biology (ESMTB). Congratulations!

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BiCDaS @ EuADS

BiCDaS member Prof. Reinhold Decker has been elected to the board of the European Association for Data Science. Congratulations!

BiCDaS in the Media

Recently BiCDaS and the future master degree course on Data Science a Bielefeld University were covered in an article by Frankfurter Allgemeine Zeitung (FAZ).

The article can be found here.

Past news

First Lecture online

The first lecture of our lecture series on Data Science in online.

have a look...

Lecture Series Data Science

This winter term we offer a lecture series on Data Science.

Data Intensive Science

The next talk of the lecture series Data Science will be on February 2nd.

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Data in Data Science

The next talk of the lecture series Data Science will be on January 26th.

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Auditory Data Science

The next talk of the lecture series Data Science will be on January 12th.

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Data Science @ RCM²-Colloquium

In context of the RCM² colloquium the Research Centre on Mathenatical Modelling offers a series of talks on Data Science, starting January 12th.

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BiCDaS now on Twitter

You can find us now on Twitter. Check here for the latest news, info and resources on Data Science!