GESIS - Leibniz-Institut für Sozialwissenschaften

29/10/2026

The 4th DACH-CSS conference is coming to Cologne on April 22-23, 2027, at - Leibniz Institute for the Social Sciences! Join us for two days of exciting talks, poster presentations, and networking with fellow CSS researchers!

We invite early-career researchers to submit an abstract (max. 300 words) by December 4th, 2026, to workshop@computational-. Accepted contributors will give a lightning talk and present their work during the poster session. They will also be eligible for the €500 CSS Early Career Researcher Award sponsored by für Medien NRW! Acceptance notifications will be sent out in January 2027, shortly before the registration for the conference opens.

Topic: Advances in Data Collection and Access for Computational Social Science
👉 Shifting data access: Developments in - and alternatives to public APIs and web scraping for accessing online data.
👉 Enhancement of traditional methods: Survey participation and non-response, hard-to-reach populations, synthetic data, and data linking.
👉 New methodological approaches: Large language models, synthetic data, agentic data collection, data donations, and smartphone research apps.
👉 Regulatory developments: New opportunities for accessing platform data through frameworks such as the Digital Services Act.

Important Dates:
📅 Abstract Submission Deadline: December 4th, 2026
📅 Acceptance Notifications: Mid January 2027
📅 Registration opens: End of January 2027

Find out more: https://computational-/

für Medien NRW - Leibniz Institute for the Social Sciences

28/10/2026

The 4th DACH-CSS conference is coming to Cologne on April 22-23, 2027, at - Leibniz Institute for the Social Sciences! Join us for two days of exciting talks, poster presentations, and networking with fellow CSS researchers!

We invite early-career researchers to submit an abstract (max. 300 words) by December 4th, 2026, to [email protected]. Accepted contributors will give a lightning talk and present their work during the poster session. They will also be eligible for the €500 CSS Early Career Researcher Award sponsored by für Medien NRW! Acceptance notifications will be sent out in January 2027, shortly before the registration for the conference opens.

Topic: Advances in Data Collection and Access for Computational Social Science
👉 Shifting data access: Developments in - and alternatives to public APIs and web scraping for accessing online data.
👉 Enhancement of traditional methods: Survey participation and non-response, hard-to-reach populations, synthetic data, and data linking.
👉 New methodological approaches: Large language models, synthetic data, agentic data collection, data donations, and smartphone research apps.
👉 Regulatory developments: New opportunities for accessing platform data through frameworks such as the Digital Services Act.

Important Dates:
📅 Abstract Submission Deadline: December 4th, 2026
📅 Acceptance Notifications: Mid January 2027
📅 Registration opens: End of January 2027

Find out more:

für Medien NRW - Leibniz Institute for the Social Sciences

The annual DACH conference on Computational Social Science gathers researchers at the intersection of computational methods and social inquiry. We welcome participants from all over the world and from all backgrounds. The conference language is English. DACH refers to the regions where the conferenc...

28/10/2026

ISSP Data on Digital Societies Released – Global Perspectives on Digital Transformation!
The international data release of the ISSP 2024 module “Digital Societies I” is now available, offering fresh insights into attitudes and behaviors related to digitization across countries.

Links to the data in SPSS or Stata format and related materials are available on the GESIS "module webpage" at:
🔗https://www.gesis.org/en/issp/data-and-documentation/digital-societies
Free data download is available at:
🔗https://search.gesis.org/research_data/ZA10020

26/10/2026

The 4th DACH-CSS conference is coming to Cologne on April 22-23, 2027, at GESIS in Cologne! Join us for two days of exciting talks, poster presentations, and networking with fellow CSS researchers!

We invite early-career researchers to submit an abstract (max. 300 words) by December 4th, 2026, to workshop(at)computational-social-science.org. Accepted contributors will give a lightning talk and present their work during the poster session.
They will also be eligible for the €500 CSS Early Career Researcher Award sponsored by Landesanstalt für Medien NRW! Acceptance notifications will be sent out in January 2027.

Topic: Advances in Data Collection and Access for Computational Social Science
👉 Shifting data access: Developments in - and alternatives to public APIs and web scraping for accessing online data.
👉 Enhancement of traditional methods: Survey participation and non-response, hard-to-reach populations, synthetic data, and data linking.
👉 New methodological approaches: Large language models, synthetic data, agentic data collection, data donations, and smartphone research apps.
👉 Regulatory developments: New opportunities for accessing platform data through frameworks such as the Digital Services Act.

Find out more: https://computational-social-science.org/

23/10/2026

GESIS colleague Dr. Danica Radovanović writes in the IEEE Magazine about the Social Media Bans.

Countries are increasingly banning social media for kids under 15 or 16. But what really happens when young people lose access to Instagram, TikTok & Co.?
https://spectrum.ieee.org/social-media-bans

22/10/2026

👉 Flash EB 581 "Citizens attitudes towards corruption in selected enlargement countries and citizens’ perception of the independence of national justice systems in the EU and selected enlargement countries"

🔗 https://t1p.de/Flash_581

https://europa.eu/eurobarometer/screen/home

20/10/2026

Am 16. November 2026 heißt es: dabei sein und mitdiskutieren. Beim Public Launch des EU-geförderten Forschungsprojekts am GESIS Leibniz-Institut für Sozialwissenschaften in Köln steht der offene Austausch mit führenden europäischen Wissenschaftlerinnen und Wissenschaftlern im Mittelpunkt.

Hier erfahrt ihr, wie wirtschaftliche, soziale und regionale Unterschiede das Vertrauen in die Demokratie beeinflussen – und was wir aktiv tun können, um Demokratie zu stärken und gerechter zu machen.

Mit dabei sind Kai Arzheimer (Universität Mainz), Prof. Marius Busemeyer (Universität Konstanz), Prof. Liza Mugge (Universität Amsterdam) und Prof. Sofia Vasilopoulou (King’s College London).

Moderation und Koordination übernehmen Prof. Alexia Katsanidou und Dr. Lea Kaftan (beide GESIS Leibniz-Institut für Sozialwissenschaften). Livemusik liefert Konstantinos Stavridis.

16. November 2026, 17:00 bis 19:00 Uhr, GESIS, Unter Sachsenhausen 6-8, Köln.
Eintritt frei. Veranstaltungssprache ist Englisch, Fragen auf Deutsch möglich.

Deine Stimme ist gefragt – mitdiskutieren und gestalten die Demokratie von morgen mitgestalten. Jetzt anmelden unter:
https://lnkd.in/ekiBVUwa

19/10/2026

Sociodemographic variables such as age, gender, education, or income are often collected using different survey questions, response options, or coding schemes. As a result, data from different survey studies cannot easily be combined or compared. Sociodemographic standard variables, developed within the KonsortSWD project StanDem, address this challenge via output harmonisation.

Read in the new blog post by Dr. Silke L. Schneider, Dr. Luigi Droste, and Emma Jentsch why harmonisation is becoming increasingly important, and how StanDem supports research data centres (RDCs), survey programmes and researchers in implementing these variables.

Check out the full blog post: https://t1p.de/blog_129

15/10/2026

Check out the new EB dataset:

👉 Flash EB 579 "Impact of Excessive Screen Time and Social Media on Young People’s Mental Health"
🔗 https://t1p.de/Flash_579

The data set contains a parent survey and an independently sampled youth survey.

https://europa.eu/eurobarometer/screen/home

14/10/2026

Do you want to increase the quality of your survey data? 📈
In this , Thomas Knopf & Julian Urban show you how to detect & handle data quality issues in R.

Registration and more information ➡️ https://t1p.de/DataQualityAssessment



GESIS - Leibniz-Institut für Sozialwissenschaften