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Looking for great images, videos, music, or educational resources that you can actually use? Our next webinar as part of CC’s 25th anniversary will show you how to find CC-licensed content, properly attribute the work, and reuse materials with confidence. We’ll explore some of the best places to discover openly licensed content, decode the different CC licenses without the legal jargon, and walk through the ins and outs of proper attribution. Along the way, we’ll bust a few common myths and share practical tips for remixing, adapting, and sharing content while respecting license terms.

Looking for great images, videos, music, or educational resources that you can actually use? Our next webinar as part of CC’s 25th anniversary will show you how to find CC-licensed content, properly attribute the work, and reuse materials with confidence. We’ll explore some of the best places to discover openly licensed content, decode the different CC licenses without the legal jargon, and walk through the ins and outs of proper attribution. Along the way, we’ll bust a few common myths and share practical tips for remixing, adapting, and sharing content while respecting license terms.

Replication Games are one-day hackathons where researchers collaborate to reproduce and verify the results of published studies to assess their reliability. They are typically open to PhD students, faculty, and researchers with a PhD, who work in teams to run the codes, detect coding errors, and reanalyze data or add new data. These events provide a hands-on, engaging way to contribute to improving research transparency, reproducibility, and scientific credibility.

Replication Games are one-day hackathons where researchers collaborate to reproduce and verify the results of published studies to assess their reliability. They are typically open to PhD students, faculty, and researchers with a PhD, who work in teams to run the codes, detect coding errors, and reanalyze data or add new data. These events provide a hands-on, engaging way to contribute to improving research transparency, reproducibility, and scientific credibility.

Schwerpunkte dieser Veranstaltung: Austausch zu Fragen, Erfahrungen und Herausforderungen rund um KI in der Lehre - Sammlung und Auswahl von Themen im Barcamp-Format - kurze Sessions zu Praxisbeispielen, Tools, Materialien, Prompts oder Projektideen - Diskussion und Vernetzung innerhalb der Community.

Focal points of this meeting: Exchange on questions, experiences and challenges relating to AI in teaching - Collection and selection of topics in barcamp format - Short sessions on practical examples, tools, materials, prompts or project ideas - Discussion and networking within the community.

Zur Erfüllung der guten wissenschaftlichen Praxis (GWP) sollen Forschungsdaten und alle dazugehörigen Informationen, die die Nachvollziehbarkeit und Reproduzierbarkeit der Forschung ermöglichen, für mindestens 10 Jahre sicher archiviert werden. Darüber hinaus verlangen mittlerweile viele deutsche Forschungsförderinstitutionen und europäische Förderprogramme verpflichtende Angaben zu einer Weiterverwendung bzw. Verwertung der Daten nach Abschluss des Projektes (Nachnutzung und Datenpublikation). Eine Möglichkeit, diese Anforderungen zu erfüllen ist die Archivierung und/oder Publikation Ihrer Forschungsdaten im TU Dresden eigenen Repositorium OPARA. In diesem Vortrag wird, nach einer kurzen Einführung in die Konzepte Archivierung und Publikation, OPARA vorgestellt und Sie lernen, wie sie das Repositorium für Ihre Forschungsdaten nutzen können.

The GESIS Fall Seminar in Computational Social Science features introductory and advanced courses on collecting and analyzing digital behavioral data from the web, social media, or digital archives. Courses are taught by leading experts in the field and offer plenty of opportunities to learn from and connect with other like-minded researchers. Lectures in each course are complemented by hands-on exercises, giving you the opportunity to directly implement your newly acquired skills and knowledge. As a graduate or PhD student, postdoc, junior or senior researcher, or computational social science professional, you will: learn about state-of-the-art techniques and methods of computational social science and obtain a comprehensive overview of different computational methods - receive high-quality training from leading experts in the field of computational social science - apply what you learn immediately through our hands-on focus - acquire essential skills in designing and implementing your computational social science projects - expand your academic and professional network by connecting with peers from diverse disciplines and around the globe to discuss research and share ideas.
All courses in the GESIS Fall Seminar are stand-alone and can be booked separately – feel free to mix and match courses to build your own personal Fall Seminar experience!

The GESIS Fall Seminar in Computational Social Science features introductory and advanced courses on collecting and analyzing digital behavioral data from the web, social media, or digital archives. Courses are taught by leading experts in the field and offer plenty of opportunities to learn from and connect with other like-minded researchers. Lectures in each course are complemented by hands-on exercises, giving you the opportunity to directly implement your newly acquired skills and knowledge. As a graduate or PhD student, postdoc, junior or senior researcher, or computational social science professional, you will: learn about state-of-the-art techniques and methods of computational social science and obtain a comprehensive overview of different computational methods - receive high-quality training from leading experts in the field of computational social science - apply what you learn immediately through our hands-on focus - acquire essential skills in designing and implementing your computational social science projects - expand your academic and professional network by connecting with peers from diverse disciplines and around the globe to discuss research and share ideas.
All courses in the GESIS Fall Seminar are stand-alone and can be booked separately – feel free to mix and match courses to build your own personal Fall Seminar experience!

To comply with good scientific practice (GSP), research data and all associated information that enables the traceability and reproducibility of the research should be securely archived for at least 10 years. In addition, many German research funding institutions and European funding programs require mandatory information on the further use or exploitation of the data after completion of the project (subsequent use and data publication). One way to fulfill these requirements is to archive and/or publish your research data in the TUD's own repository OPARA. In this lecture, after a brief introduction to the concepts of archiving and publication, the OPARA platform will be demonstrated and you will learn how to use the repository for your research data.

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.
Registration Deadline: August 2, 2026

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

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.
Registration Deadline: August 2, 2026

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.

Schwerpunkte dieser Veranstaltung: Rechtliche Grundlagen von Open Educational Resources (Urheberrecht und offene Lizenzierung) - Planung, Gestaltung und Durchführung offener, lerner:innenzentrierter Lehrveranstaltungen - Planung und Erstellung eigener OER unter Verwendung fremder Inhalte - Funktionen des OER-Portals twillo.

In this track, early career researchers who are Open Science novices learn to make their research more transparent, reproducible and credible in the eyes of their peers, the public, and funding agencies. This track consists of public lectures accessible to anyone as well as hands-on practical workshops for selected applicants. Participants of this track learn how to: Specify research design and set up statistical plans in advance of collecting data to mitigate biases in analyses, with the help of preregistration and data simulation - Create computationally reproducible workflows to be more efficient and spot mistakes in data wrangling or analyses, through programming with version controlled scripts - Prepare and share data and code in connection with manuscripts by applying the Findable, Accessible, Interoperable, Reusable principles, and using adequate repositories and licenses to accumulate credit and citations.

In this track, early career researchers who are Open Science novices learn to make their research more transparent, reproducible and credible in the eyes of their peers, the public, and funding agencies. This track consists of public lectures accessible to anyone as well as hands-on practical workshops for selected applicants. Participants of this track learn how to: Specify research design and set up statistical plans in advance of collecting data to mitigate biases in analyses, with the help of preregistration and data simulation - Create computationally reproducible workflows to be more efficient and spot mistakes in data wrangling or analyses, through programming with version controlled scripts - Prepare and share data and code in connection with manuscripts by applying the Findable, Accessible, Interoperable, Reusable principles, and using adequate repositories and licenses to accumulate credit and citations.

We are excited to invite you to PUBMET2026, the 13th Conference on Scholarly Communication in the Context of Open Science, a dynamic event that brings together researchers, publishers, librarians, and policymakers to explore the evolving landscape of scholarly communication.

We are excited to invite you to PUBMET2026, the 13th Conference on Scholarly Communication in the Context of Open Science, a dynamic event that brings together researchers, publishers, librarians, and policymakers to explore the evolving landscape of scholarly communication.