Unconscious Bias – Online Course

In this workshop you will learn how to perceive, identify and question a number of biases in your daily work.


25. September 2020 09:00 – 25. September 2020 13:00
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Biases are misconceptions and incomplete perceptions about certain groups of people or individuals that we form and learn throughout our lives. Everyone, no matter the age, social class, gender or education consciously or unconsciously holds beliefs that primarily serve as a filter and categorization to the magnitude of information we receive every moment. Consequently, we use mental shortcuts to complete missing information about others automatically. Within the university context, unconscious bias can influence our decision-making in a variety of ways, e.g. concerning selection procedures, performance evaluation or personnel development.

Intended Learning Outcomes

After attending the workshop, you will be able to

  • Perceive, identify and question a number of biases (theoretical input on biases, work in groups on specific biases self-reflection units),
  • Evaluate different options for how to act when being confronted with your own or other persons' biases towards you (work in groups and discussion), and
  • Integrate recommendations into your daily work (handout, case work in groups).


Interest in the topic, openess to reflect upon and question own biases.

To participate in the online course, you need a PC/laptop with a current browser (recommended: Chrome or Firefox) as well as a headset (or speakers and a microphone), possibly a webcam, and a stable Internet connection.


September 25, 2020, 9 am–1 pm

Target group

Doctoral candidates and postdocs from all disciplines


Free of charge


Please register until September 10, 2020 using the registration form (PDF).

Please note that your registration is binding. You may cancel your registration up to twelve days before the beginning of the course without providing specific reasons. Thereafter, you will be required to pay the attendance fee even if you do not attend the course.


Ines Köhler


MArburg University Research Academy
Postdoctoral Program