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Seminar: Human Data Elicitation Tools

Kurs ID
MGMT457
Art des Kurses
BSc Kurs
Wochenstunden
2,0
ECTS
6,0
Semester
FS 2020
Vortragssprache
Englisch
Vortragende/r
Juniorprof. Dr. Victor Frederik Jan van Pelt
Bitte beachten Sie, dass AustauschstudentInnen im BSc-Programm der WHU eine höhere Anzahl an Credits erwerben als hier aufgeführt. Für weitere Informationen wenden Sie sich bitte direkt an das [International Relations Office].
While technology continues to improve, there are still many questions and tasks that require input from humans. These include tasks such as identifying objects in a photo or video, performing data de-duplication, and transcribing audio recordings. However, we also require humans to cast judgments if we want to learn more about how they think and what their opinions are on certain topics. Both scholars and practitioners have started to develop and use tools to elicit human data internally or externally from online crowdsourcing marketplaces, such as Amazon Mechanical Turk. In this seminar, I teach you how to use a few of these basic tools for your own research purposes.

This course is particularly useful for students who are interested in eliciting human data for their thesis or using such tools to delegate simple tasks to humans and elicit human input in their later professional careers. The course is composed of three parts. First, we will focus on setting up a simple project to elicit human data. Second, we will use an easy-to-use software package to elicit human data. Lastly, we cover basic tools to analyze and present elicited human data.

Date Time
Tuesday, 04.02.2020 11:30 - 15:15
Tuesday, 10.03.2020 13:45 - 18:45
Thursday, 12.03.2020 13:45 - 18:45
  • Project management: How to set up a project to elicit human data to answer business and academic questions
  • Presenting: Pitchingyour human data elicitation project or idea
  • Software and coding: Using simple applications to design elicitation procedures
  • Reporting: Reporting about elicited human data
Presentation: 30%

Results Report: 70%

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