GESIS Panel

18/03/2026

Last month, the GESIS Panel Team participated in the 18th Workshop of Panel Surveys in German-speaking countries. The workshop provided an inspiring forum for exchange among researchers working with panel data and a valuable opportunity to share experiences across different survey infrastructures.

The GESIS Panel Team also contributed with a poster presented by Dr. Patricia Hadler, Dr. Charlotte Löb and Dr. Steffen Pötzschke on the implementation and documentation of research ethics principles in the GESIS Panel.pop Population Sample.
They addressed
🔹 the application of RatSWD-based ethical guidelines,
🔹 challenges in documenting ethical standards in ongoing panel surveys,
🔹 and the transferability of this approach to other survey programs.

In addition, Katharina Kraft presented our documentation infrastructure for the GESIS Panel.dbd Digital Behavioral Data Sample, including an R Shiny-based interface that brings together codebooks, wave reports, and other documentation sources in one place. The presentation focused on the practical advantages and limitations of this open-source solution.

We are grateful for the inspiring discussions and the opportunity to exchange experiences with colleagues from many different panel studies. Many thanks to the FReDA Panel and the Federal Institute for Population Research (BiB) for the excellent organization of this year’s workshop!

17/03/2026

Sie interessieren sich für Datenerhebung und möchten zu Umfragen forschen? Werden Sie als Wissenschaftliche*r Mitarbeiter*in Teil unseres GESIS Panel Teams in Mannheim!

Deadline zur Bewerbung: 12.04.2026

https://gesis.jobs.personio.de/job/2553179?language=de&display=de

12/03/2026

Recap of Day 2 at the GESIS Panel.dbd Insight Days:

The second day focused on moving from data to research design.

We started with an introduction to HTML parsing, showing how web tracking data can go beyond URLs and traces to analyze the content of websites visited by panelits.

Later, Frank Mangold provided a structured approach to thinking about web tracking study designs within the GESIS Panel.dbd framework.

A key takeaway: even complex research ideas can often be clarified with a simple project kick-starter (see graphic).

Many thanks to all participants for the thoughtful discussions and inspiring ideas. We’re excited to see the research that will grow from them.

Follow our page so you don’t miss the next opportunity to join a GESIS Panel workshop.

10/03/2026

Recap of Day 1 at the GESIS Panel.dbd Insight Days:

We kicked off the workshop by diving into the foundations of the GESIS Panel.dbd infrastructure.

Participants learned about:
• the recruitment and structure of the panel
• how web tracking data are collected
• how digital traces (URLs, timestamps, HTML) are generated and stored

In the afternoon, two hands-on sessions introduced the structure of both the survey and web tracking data. Working directly with the data allowed participants to explore what is technically possible — and what requires careful consideration.
A full day dedicated to understanding the data before designing research with it.

05/03/2026

Last week, we hosted the GESIS Panel.dbd Insight Days in Mannheim — two days dedicated to exploring how web tracking data and survey data can be combined for social science research.

18 researchers from different fields came together to better understand the possibilities — and limitations — of working within the GESIS Panel.dbd infrastructure. The workshop combined methodological input, technical insights, and hands-on exploration of the data structure.

Over the next two posts, we will share some highlights from
🔹 Day 1: Understanding the data and its collection
🔹 Day 2: From HTML parsing to web tracking study design

Stay tuned!

17/02/2026

We are pleased to announce that wave mb of the GESIS Panel data has just been published! Click on the link and follow the instructions to get our data: https://gesis.org/en/gesis-panel/data
If you use our data tell us! We will gladly include your publications in our bibliography.

28/01/2026

Since joining the GESIS Panel in 2024, the GESIS Panel.dbd Digital Behavioral Data Sample has now released its first dataset. We are excited to officially announce this milestone – opening new possibilities for research using survey data linked with digital behavioral data. Get access to the dataset here: https://search.gesis.org/research_data/ZA5669. You can explore the documentation here: https://shiny.gesis.org/gpdbd/ .

08/12/2025

Reminder: We are pleased to announce the upcoming BRISPO Lunch Seminar at VUB, where Dr. Steffen Pötzschke will share insights from a decade of meta advertisement-based survey recruitment. Join us tomorrow on December 9th for an engaging lunchtime session! Details: https://brispo.research.vub.be/en/brispo-lunch-seminar-insights-from-a-decade-of-meta-advertisement-based-survey-recruitment

03/12/2025

Lunch and Learn? - Ever wondered what a decade of meta advertisement-based survey recruitment can teach us? In the upcoming BRISPO Lunch Seminar, Dr. Steffen Pötzschke takes us behind the methods, the applications, and the unexpected pitfalls. Join us on December 9th for an engaging lunchtime session! Details: https://brispo.research.vub.be/en/brispo-lunch-seminar-insights-from-a-decade-of-meta-advertisement-based-survey-recruitment

The lecture will be delivered by Dr. Steffen Pötzschke from GESIS - Leibniz Institute for the Social Sciences (Mannheim, Germany).

19/11/2025

We are happy to announce the publication of the wave ma of the GESIS Panel data! Click on the link and follow the instructions to get our data: https://gesis.org/en/gesis-panel/data
If you use our data tell us! We will gladly include your publications in our bibliography.

04/11/2025

Join the Autumn 2025 webinar series “Using Social Media as a Research Tool” on November 4, 3:00 PM (UTC +0) for an exciting presentation by Anna Hebel on "The Role of Ad Design: Image Characteristics and Design Formats in Social Media Recruitment"!

Register here: https://uofglasgow.zoom.us/webinar/register/WN_-Sw7ZHGsRdaBwHN3toOjKQ #/registration