[CfP] 4th Workshop on Digitalization and AI for Society, in Education and Educational Research (DAI-EaR ’26)

Dear all,

I would like to inform you about a call for papers for a workshop at 
INFORMATIK FESTIVAL 2026 in Dresden, 22.09. – 25.09.2026:

4th Workshop on Digitalization and AI for Society, in Education and 
Educational Research (DAI-EaR’26)

Submission Deadline: 07.05.2026

See 
https://wp.uni-koblenz.de/cssbibb/4th-workshop-on-digitalization-and-ai-for-society-in-education-and-educational-research-dai-ear26/ 
for details.

Aims & Scope
============

Societies today have to deal with multifaceted risks such as pandemics, 
geopolitical tensions, and virtual security risks. At the nexus of these 
risks computational social sciences, computing education and digital 
literacy are emerging as a critical political and societal lever for 
designing digitalized futures. In pursuit of an open society, open 
science and open source, this workshop addresses the transformative 
power of computational methods, including AI, not only in education, but 
also in society and labor markets by exploring interdisciplinary 
insights to questions of digital and open sovereignity, societal 
structures, and the evolving demands of labor markets.

Call for Papers
===============

This workshop aims to comprehensively explore the intersection of 
computer science, computational methods, education research, 
sociological research, their respective methods and societal 
implications, with a special focus on digitalization and AI for and in 
society, education and educational research. It focuses on 
interdisciplinary perspectives on the design of an open society, open 
science and open source, examining aspects such as society, general 
education, labor markets, qualifications, vocational education and 
training, or adult education. In addition, the workshop encourages 
submissions that critically reflect on the application of digital 
methods in these research areas. The overarching goal is to understand 
how computational methods, especially AI, can be sensibly applied in the 
development of open, digital and sustainable societies and economies. 
Emphasis is placed on theoretical as well as empirical research, 
including data science methods and AI approaches applicable to 
recommender systems, digitized learning, and effective linking of 
digital resources.

Topics of interest include, but are not limited to:

-    Computational Social Sciences, in particular AI and computational 
approaches for the interdisciplinary work of the social sciences, 
economics, and humanities: report on theoretical, methodological, 
experimental, and applied research.
-    Quantitative and qualitative research
-    Data science methods to analyse (vocational) education and labour 
market data
-    Digital methods and systems in education (e-learning, adult 
education, general, VET and academic education, etc.)
-    AI approaches for recommender systems and digitized learning
-    Linking of digital resources, a discussion of data sets, their 
quality and reliability, combining quantitative and qualitative data, 
anonymization and data protection. AI and computational methods for text 
mining and textual analysis, for example texts within social sciences, 
digital literary studies, computational stylistics and stylometry.
-    Network analysis, including social and educational network analysis.
-    We also welcome submissions focusing on a critical reflection of 
digital methods in labour market research, education and other research 
areas.

Submission
==========

The workshop will consist of paper and poster presentations. Selected 
papers will be published in “GI-Edition: Lecture Notes in Informatics” 
(LNI). Submissions (6-16 pages for full paper, 3-6 pages plus references 
for poster presentation) must be written in English and follow the 
guidelines published at https://informatik2026.converve.io/ and 
https://gi.de/service/publikationen/lni.

Please submit your papers to 
https://www.conftool.org/informatik2026/index.php?page=login

Submissions are reviewed using a single-blind review process, which 
means you do not have to hide authors’ names and affiliations.

Important Dates:
07.05.2026 – Submission Deadline

01.06.2026 – Notification
01.07.2026 – Deadline Proceedings/Full Paper Submission – Submission of 
camera-ready papers.
31.07.2026 – Publication of agenda.

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