Events: Open Science & Economics
Conferences, seminars, webinars, online panels and more: Here you will find relevant events from the fields of Open Science and business studies and economics. Are you an event organizer yourself and would like to have your event added to the calendar? Don’t hesitate, please contact us.
You can find more dates for events relating to business studies and economics in the calendar of the ZBW search portal EconBiz.
CC 201: Finding & Reusing CC-Licensed Works
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.
Dublin Replication Games at UCD and the EEA-ESEM 2026
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.
GESIS Fall Seminar in Computational Social Science
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!
Archiving and publishing research data on the TUD repository OPARA – An introduction and demonstration (in German)
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.
Quantitative Empirical Accounting Research and Open Science Methods
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
OER in teaching design: basics and practical applications
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.
LMU Open Science Summer School 2026: Track 1 – Open Science knowledge and skills
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.
Replication Games: Advancing Reproducibility with Open and Restricted Access Data
This event is part of the Coffee Lectures on Open Science Education.
Abstract: Reproducibility is often taught as a set of principles: share data, document code, pre-specify analyses, and make results transparent. Replication Games turn these principles into practice. In these hackathon-style events, researchers work in small teams to reproduce and stress-test published studies, learning not only whether results can be recreated, but also how empirical claims depend on documentation, coding choices, and analytical judgment. At the Institute for Replication, these events have become a scalable model for combining training, community-building, and cumulative science: teams develop practical skills while contributing structured evidence on the reproducibility and robustness of the literature. In this talk, I will discuss Replication Games as both pedagogy and research infrastructure. I will also reflect on our recent CBS Replication Games in the Netherlands, where researchers attempted reproductions using restricted-access Dutch administrative microdata in a secure environment. That experience highlights a central frontier for reproducible science: how to make independent verification possible when the most policy-relevant data cannot be openly shared.
Speaker: Lenka Fiala, Insitute for Replication (University of Ottawa)
Lenka Fiala research scientist at the Institute for Replication (University of Ottawa). She is also affiliated with Tilburg University. Her research focuses on the replicability and robustness of findings in social and behavioral sciences, often through large-scale collaborative projects and re-analyses of existing evidence. She also combine experimental approaches with administrative data to understand human capital development.
PUBMET2026
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.
LMU Open Science Summer School 2026: Track 2: Open Science instructor training
In this track, early career researchers or research support staff interested in becoming Open Science instructors develop essential pedagogical skills to promote Open Science through teaching - no prior teaching experience is required. This track consists of hands-on workshops as well as guided sessions to design your own workshop on an open science topic of your choice. Participants of this track will: Familiarize themselves and apply basic didactic techniques to effectively convey open science topics to learners in a supportive learning environment - Learn how to design and deliver open science workshops to diverse audiences and across different settings - Implement techniques to foster learners’ motivation and engagement with open science topics - Develop skills to advocate for open science, to lead research groups and discussions around open science, and to analyse the potential challenges and issues around the implementation of open science practices - Design their own workshop on an open science topic of their choice by applying the newly acquired skills and present the concept to other participants for future delivery.
OpenFest 2026
OpenFest is our flagship celebration and exploration of open research. The theme for 2026 is “Open Research: People and Place”. The event will explore how open research is shaped by communities, geographic contexts, and organizational practices, highlighting innovative methodologies, inclusive dissemination, and the social and political dimensions of openness.
Fellowship of the Data 2026 – Fellowship of the Data Community Meeting
This event aims at connecting RDM-enthusiastic communities with interesting presentations, engaging session discussions, and plenty of networking opportunities.
2nd Replication Games Münster
Replication is an essential part of the scientific process, as it verifies the robustness and generalizability of published findings. By participating, you will not only help strengthen research integrity but also expand your network and sharpen your coding and research skills. Participants will write reports that they can then submit to one of multiple innovative, scholarly-led open access journals. Why Attend? Join a team of 3-5 researchers and reproduce/replicate a published study. You will be matched based on research interests and a study will be assigned to your team. Graduate students will work closely with more experienced researchers, ensuring that everyone benefits from shared expertise. Connect with fellow researchers from the University of Münster and beyond. Refine your coding skills and data management techniques.
Creative Commons Lizenzen zur Publikation von Forschungsdaten – Ein Überblicksvortrag
Forschungsdaten sind die Grundlage von Forschungsergebnissen und es wird immer mehr Teil der guten wissenschaftlichen Praxis (GWP) diese wichtigen Informationen anderen Forschenden bzw. der Öffentlichkeit zur Verfügung zu stellen (Datenpublikation). Zusätzlich verlangen mittlerweile viele deutsche Forschungsförderinstitutionen und europäische Förderprogramme verpflichtende Angaben zu einer Weiterverwendung bzw. Verwertung der Daten nach Abschluss des Projektes. Dies dient einerseits der Nachnutzung durch andere, aber auch der Nachvollziehbarkeit der publizierten Forschungsergebnisse. Eine Festlegung der rechtlichen Rahmenbedingungen bei der Veröffentlichung von Forschungsdaten ist dabei erforderlich, um eine klar geregelte Nachnutzung zu ermöglichen. Creative-Commons-Lizenzen bieten solch einen geregelten Rahmen und sind neben der Nutzung bei Bild- und Textpublikationen auch bei der Veröffentlichung von Forschungsdaten inzwischen weit verbreitet. In diesem Vortrag geht es um die Grundlagen dieser freien Lizenzen, ihren Nutzen im Rahmen des Urheberrechts und ihre verschiedenen Anwendungsgebiete. Außerdem erfahren Sie, wie Sie die Nachnutzungsmöglichkeiten Ihrer veröffentlichen Materialien bestimmen und was es dabei zu beachten gibt.
DSgG Community-Treffen
Das fünfte DSgG Community-Treffen findet unter dem Motto “DSgG - from going to growing” statt.
Open Access Tage 2026
Die Open-Access-Tage sind die zentrale jährliche Konferenz zum Thema Open Access im deutschsprachigen Raum. Sie richtet sich an alle, die sich intensiv mit den Möglichkeiten, Bedingungen und Perspektiven des wissenschaftlichen Publizierens befassen. Dazu gehören Wissenschaftler*inInnen sowie Mitarbeiter*inInnen von Bibliotheken und anderen Einrichtungen der Wissenschaftsinfrastruktur ebenso wie Mitglieder der Wissenschaftsadministration und Verlage. Es gibt ein vielseitiges Fachprogramm rund um Open Access, Open Science und das wissenschaftliche Publizieren.
Meta-Analysis
The course targets researchers who are interested in understanding, conducting, and publishing meta-analytic research. Participants will learn how to conduct and publish a high-quality meta-analysis in the area of management and business research.
Argos Community Call
OpenAIRE is running a series of community calls for ARGOS to support all researchers in meeting their Horizon Europe requirements by creating FAIR (Findable, Accessible, Interoperable, Reusable) DMPs. Similarly, it supports all research performing and funding organisations to orchestrate their data services around ARGOS and connect data workflows contributing to interconnected Research Data Management ecosystems. These calls offer the opportunity to discover ARGOS novelties and learn how to benefit from them in your practice, share feedback and discuss the future of DMPs as FAIR and machine actionable outputs, i.e. as complete outputs that bring validated information, qualified references and automations to the table to assist the processes of collecting, documenting and publishing your data.
Data Science as a Research Method
The learning objective of the course is to enable participants to apply these techniques in design-oriented and/or quantitative empirical research projects.
2026 OEGlobal Conference
Conference Theme: Come Invent With Us! Innovating Open Practices to Uphold and Uplift Knowledge as a Public Good. We recognize that invention is most powerfully sparked when different perspectives and practices intersect. Therefore, we look forward to a program that integrates the arts and sciences; Indigenous and Western knowledge systems; global and local viewpoints; research-based and lived experiences; and other open movements (open source software, open data, open access, open science) and open education.