At GESIS we offer a wide range of events, especially training courses on empirical social research methods. Our theory founded and hands-on courses develop participants’ methods skills and are aimed at both early career and senior researchers from Germany, Europe, and the whole world.
|Applied Data Visualization||
The workshop Applied Data Visualization introduces students to the theory and methods underlying data visualization. Data analysts face an ever-increasing amount of data (→ big data) and rather revolutionary technological developments allow researchers to visually engage with data in unprecedented ways. Hence, data visualization is one of the most exciting fields in data science right now. In this workshop students acquire the skills to visualize data in R both for exploratory purposes as well as for the purpose of explanation/presentation. We'll rely on R, the most-popular statistical programming environment when it comes to visualization and we'll make use of popular R packages such as ggplot2 and plotly. Besides creating static graphs we'll also have a look at interactive graphs and discuss how interactive visualization may revolutionize how we present data & findings.
|Data Management, Advanced Programming and Automation using Stata||
During the workshop, participants will learn how to efficiently handle problems of data management with Stata, and how to avoid repetition by automating (and programming) tasks. The workshop is not an introduction to Stata, but will feature "best practice" of Stata usage in order to modify existing do-files (or create new ones) to be reproducible, maintainable and efficient. The tips and tricks will refer mainly to data preparation and management, but they can also be used or automation of data analysis. The workshop will present some ideas about these topics, but focus on the interactive work where participants shall learn producing efficient Stata syntax by themselves.
|Linking Twitter & Survey Data||
The workshop will cover the ethical and operational issues associated with linking Twitter and survey data. We will begin by thinking about what new and exciting opportunities this new form of linked data provides. We will then move on to the challenges associated with designing, collecting, analyzing, publishing and sharing this type of linked data. Drawing on recent experiences of three UK studies (British Social Attitudes 2015, the Understanding Society Innovation Panel 2017 (IP10) and the NatCen Panel July 2017) we will explore issues around informed consent, disclosure, security and archiving. The workshop will be interactive with a focus on participant engagement and dialogue.