Data Visualization and Knowledge-Transfer

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Daniel Schnitzlein Leibnitz University Hannover & German Institute for Economic Research/DIW Berlin

Date: Thursday, 13/09/18 (09.00–18.00 h)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English


Results of scientific research are often (and increasingly) complex and hard to understand for a non-scientific audience. However, at the same time, the transfer of results from academic research to an outside-academia recipient, for example, politics, private foundations or private firms providing research funding, but also the interested public, gets more and more important.
In this course, participants will learn how to identify, extract, and reduce relevant results from their research and how to prepare them for presentation either in form of a talk or a (policy) report.

Special emphasis is put on how to create easy to understand visualizations of quantitative results that support the transfer of knowledge.

Requirement of students: Basic knowledge on empirical (quantitative) social and economic research is beneficial. Visualization examples are based on Stata and/or R. Code examples will be provided within the lecture.

Recommended literature and pre-readings: None.

You have to register for the 12th International Research Workshop to participate in this course.