Event Calendar

This session will cover the topic of the recently published NFDI Section ELSA factsheets “FAIR-Principles and Data Protection. How can FAIR data management be reconciled with the General Data Protection Regulation?“ The aim is to support researchers and illustrate the interplay between the FAIR framework and the privacy requirements in RDM, by showing that the two in fact supplement each other. Thus, researchers can learn how to comply with both frameworks, identify legal issues in their research projects and use various tools and resources for self-education.

Die Schulung behandelt die Benutzung des Zentralen OER-Repositoriums im Detail, sowohl aus Sicht von OER-Nutzenden als auch von Leuten, die Ihre OER über das ZOERR teilen möchten

The community at CAT has a long history of thinking about how to instigate radical change in complex environments. We’re looking forward to learning more about the history and future of CAT, and thinking about where the interests of our communities overlap and where we might be able to collaborate.

This course exposes participants to the ‘world of possibilities’ in literature reviews in various fields. The seminar enables PhD students to understand basic purposes and approaches of different types of literature reviews and to apply them properly to their own individual research topics.

Do you ever feel that the data you need for your research is accessible but it’s not in a convenient table, such as company reports or building plans? Perhaps the information you need is spread out across many different documents? If only we could read and extract structured data from thousands of written documents. In this course, we explore how to accomplish this task by combining web scraping, Optical Character Recognition (OCR), and Natural Language Processing (NLP). Over four weeks, we provide online lessons and interactive sessions to learn the fundamentals of these key technologies.
The course includes 4 live Online Meetings, in which you will discuss the week’s contents with the instructor and fellow participants.

Wie kann ich h5p gezielt für meine OER-Produktion einsetzen, wie funktioniert der „remix“ von h5p-Elementen und wie binde ich die Lerninhalte in mein LMS ein?

Wege zu guten Ergebnissen im Umgang mit Künstlicher Intelligenz. Wie kann durch optimiertes Prompting OER-Design unterstützt werden?

The goal of this methodology course is to give interested, young scientists an understanding of the essential elements of quantitative and qualitative content analysis.

Our goal is to facilitate the development of open research practices explicitly geared to serve the public interest, which involves interrogating what may constitute that ‘public interest’ to different audiences and in different locations around the world. A central element for our discussions will be the development of a Munich Manifesto for Equitable Open Research, detailing ways to utilise open research to foster reliable, responsible, and equitable forms of inquiry. A draft text of the manifesto will be circulated two weeks before the conference to all participants, and one session of the conference will be dedicated to discussing and finalising the declaration and its possible signatories.

During the workshop, you will first learn about the most important (legal) principles for the use and creation of open educational materials. The core of the workshop is the practical design of open teaching/learning scenarios. Using real use cases, you will discuss the opportunities and challenges of open teaching and learn how you can integrate OER into the phases of lesson planning, implementation and follow-up in a meaningful way. You will also get to know the functions and features of our portal www.twillo.de a little better.

More infos are yet to come.

How do machines learn to make the right choices? How can individuals, firms, organizations, and researchers use automated decision-making? This course provides an introduction and intuition for designing algorithms that allow machines to learn based on reinforcements. Reinforcement learning provides decision rules based on learning from partial, implicit, and delayed feedback. The course includes 4 live Online Meetings, in which you will discuss the week’s contents with the instructor and fellow participants.

Wir geben eine Einführung in Creative Commons (CC) Lizenzen und gehen kurz auf Rahmenbedingungen bei der Nutzung kostenloser Bilder, Videos etc. ein. Außerdem stellen wir Ihnen Quellen für kostenfreie Multimediainhalte vor und geben Hinweise zum Suchen und Verwenden legal nachnutzbarer Bilder und Co.

The conference focuses on theoretical or empirical contributions for these topics: New and experimental Developments in AI - (AI-driven) Entrepreneurship and AI-driven Business Models and Strategies - AI in Business Administration and Processes, e.g., Finance, Accounting, Controlling, Human Resources, Marketing, Production, Supply Chain Management, Quality and Sustainability Management - GenAI, explainable AI and Decision-making; Risk and Opportunities of AI-Agents - Ethics, Regulation and Policy of AI- Digital Transformation of Skills and Jobs - Infrastructure, Energy and Finance supply and AI Competitiveness - Micro- and Macroeconomic framework: Competition, Productivity and Markets.

Wie kann man künstliche Intelligenz sinnvoll und nachhaltig zum Erstellen von Multimediamaterial einsetzen?

Die 10|KSWD wird einen interdisziplinären und offenen Dialog zur Weiterentwicklung der Forschungsdateninfrastruktur fördern und gemeinsame Perspektiven für eine verantwortungsbewusste Nutzung sensibler Daten eröffnen. Neben nationalen Herausforderungen werden auch Fragen des europäischen und internationalen Datenaustauschs in den Blick genommen. Im Mittelpunkt stehen Fragen rund um die Infrastruktur zur Forschung mit Daten und deren Bedeutung für Wissenschaft, Politik und Gesellschaft. Fundierte, aktuelle und verlässliche Daten sind die Voraussetzung, um gesellschaftliche und wirtschaftliche Entwicklungen zu verstehen und zu gestalten.

Im Workshop widmen wir uns dem Design von OER-Materialien auf ganz praktische Weise. Lehrkonzeption und Mediendesign mit gängigen Bordmitteln: Wie erstelle ich Materialien, worauf sollte ich didaktisch achten, wie publiziere ich meine OER sicher und sichtbar.

Mit Hilfe von künstlicher Intelligenz OER-Materialien verschlagworten.

This course focuses on quantitative empirical accounting research, covering theoretical, methodological and technical aspects of this research program. It also introduces students to the concepts of Open Science. In terms of applications, it concentrates on financial and other related disclosure issues but also touches on some managerial and auditing topics. After this course, participants should have a clear understanding about the theoretical foundations of quantitative empirical accounting research, know the methodological approaches to and common pitfalls of empirical research designs, have become familiar with a collaborative open science workflow using R/Python/Stata and Github, know how to execute empirical archival studies, including the usability and inter-operability of different data sources and, based on their own research proposal, have received constructive feedback on how to design and execute a viable study in the area of quantitative empirical accounting research.

First part, online: 01.09.24, 04.09.26, 08.09.26, 11.09.26
Second part, in person (Berlin): September 16 - 18, 2026 

During the workshop, you will first learn about the most important (legal) principles for the use and creation of open educational materials. The core of the workshop is the practical design of open teaching/learning scenarios. Using real use cases, you will discuss the opportunities and challenges of open teaching and learn how you can integrate OER into the phases of lesson planning, implementation and follow-up in a meaningful way. You will also get to know the functions and features of our portal www.twillo.de a little better.