Events: Open Science & Wirtschaftswissenschaften
Konferenzen, Seminare, Webinare, Online-Panels und mehr: An dieser Stelle finden Sie relevante Veranstaltungen aus den Bereichen Open Science und den Wirtschaftswissenschaften. Sie sind selbst Event-Organisator und möchten Ihre Veranstaltung in den Kalender aufnehmen lassen? Gerne! Kontaktieren Sie uns bitte.
Weitere Termine zu Veranstaltungen rund um die Wirtschaftswissenschaften finden Sie auch auf den Veranstaltungsseiten des ZBW-Fachportals EconBiz.
Berlin Summer School on Artificial Intelligence and Society 2025 – Open Science and AI – Shaping the Future of Responsible Research
We explore the role of Open Science & Open Data in shaping responsible AI. In times of rapidly advancing generative AI, principles like transparency, accessibility, and collaboration are more essential than ever. The open exchange of datasets, methods, and results supports innovation, reproducibility, and fairness—ultimately leading to more trustworthy AI. The summer school includes keynotes by renowned researchers, in-depth lectures, interactive hands-on sessions, and an excursion. Participants will also have time for discussions, exchange, and networking.
Qualitative Research Methods II
Grundlegendes Ziel dieses Kurses ist es, den Teilnehmer:innen Kenntnisse über den Prozess und die Methoden qualitativer Forschungsdesigns zu vermitteln und die Eignung solcher Designs für konkrete Problemstellungen der Teilnehmer zu diskutieren (Werkstatt-Prinzip). Inhalte: Methodenintegrative Designs (Mixed Methods) - Grundlagen und spezifische Merkmale qualitativer Forschung - die Indikation qualitativer Forschung und die Rolle der Wissenschaftstheorie - - r qualitative Forschungsprozess und der Einfluss von Theorien - die Erhebung qualitativer Daten - Zur Methodologie qualitativer bzw. interpretativer Forschung - die Analyse/Interpretation qualitativer Daten: Grounded Theory, Qualitative Inhaltsanalyse, Ethnografie, Diskursanalyse, Sequenzanalyse, Hermeneutische Ansätze - Multimodalität in der qualitativen Forschung - Grenzen methodischer „templates“ für das Sinnverstehen - Gütekriterien und Geltungsbegründung qualitativer Befunde.
Open Science Summer School 2025: 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. Participants of this track learn how to: Specify research design and set up statistical plans in advance of collecting data to prevent 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.
Open Science Fair 2025
The Open Science Fair 2025 will spotlight the power of global, international and cross-regional partnerships in shaping the future of Open Science. True progress requires collaboration that transcends borders, disciplines, and institutions—uniting diverse perspectives to drive meaningful change. This year’s OSFair will explore how diverse forms of collaboration can accelerate discovery, enhance knowledge accessibility, and create a more transparent and equitable research ecosystem. By fostering open and inclusive cooperation across continents, we can build a stronger, more connected scientific community. Whether you're an advocate, practitioner, or newcomer, OSFair 2025 is your platform to connect and contribute.
Informationsveranstaltung zum 4. Förderaufruf “Erhebung und Verwendung von Forschungsinformationen in der Wissenschaft”
Der Förderaufruf adressiert das Themenfeld Forschungsinformationen und Forschungsinformationssysteme (FIS) bzw. Current Research Information Systems (CRIS). Die Bedeutung standardisierter und nutzungsfreundlicher Forschungsinformationen nimmt kontinuierlich zu. Ihre Verfügbarkeit verbessert Transparenz und Teilhabe im Wissenschaftssystem, ermöglicht fundierte wissenschaftliche Analysen und Innovationen und unterstützt die effiziente Steuerung, Planung und Evaluation in der Forschungslandschaft. Ein wichtiger Referenzrahmen für die Standardisierung von Forschungsinformationen in Deutschland ist der KDSF – Standard für Forschungsinformationen in Deutschland, der eine gemeinsame Grundlage für deren Strukturierung und Austausch schafft.
How to get the best of AI tools in Research
Large Language Models (LLMs) and Generative Artificial Intelligence (AI) provide unprecedented opportunities for research and business practice. However, there is a multitude of different tools that researchers theoretically can choose from. This online course is dedicated to the use of AI-powered tools in research. It offers an overview of existing AI tools and how they can be integrated at different stages of research: project planning and organization, literature review, data analysis, and the reporting and communication of results. We will discuss the opportunities these tools provide but also their limitations and how to critically evaluate them. Finally, we will address ethical considerations and the current standards for transparently disclosing one’s own use of AI.
Week 1: Introduction into LLM and AI Tools, effective prompting strategies and caveats when using AI. We will also look into LLM tools for text and image generation, as well as applications of AI in data generation, collection, and analysis. The insights from this workshop session will be applied in a data collection and / or analysis task for session 2.
Week 2: Discussion of own results related to a data collection and analysis task. Additionally, we will cover the selection and critical evaluation of AI tools and explore the options of LLMs for literature research and management.
Workshop on e-Learning
Wir werden uns auch in diesem Jahr intensiv mit den aktuellen Entwicklungen im e-Learning beschäftigen, einschließlich der Rolle von KI und der neuesten Technologien, die die Lehre interaktiver und effektiver machen können.
STAPLE: Infrastructure for Open, Transparent, and Collaborative Science
Modern research is increasingly collaborative, interdisciplinary, and global but the tools researchers use to manage their projects often lag behind. STAPLE (Science Tracking Across the Project Lifespan) is an open-source platform designed to support transparent, well-documented, and reusable research workflows. In this webinar, we’ll introduce the vision behind STAPLE and demonstrate how it supports the full research lifecycle. We’ll provide a hands-on walkthrough: how to create a project, assign tasks and roles, and track contributions over time.
Open-Access-Tage 2025
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
Hamburg Science Summit 2025: “Europe’s Innovation Challenge”
In an era of increasing geopolitical competition, science and innovation will be key to safeguarding Europe’s prosperity and strategic autonomy. Yet core questions remain: What role will the next EU research framework (FP10) play? How should Europe respond to growing uncertainty in transatlantic relations? And how can it safeguard academic freedom while maintaining scientific integrity in policymaking? At the Hamburg Science Summit 2025, leading figures from science, policy, business, and think tanks will explore how Europe can regain leadership in cutting-edge research as it seeks to balance scientific openness and strategic interests.
Please note: On-site registration for the Hamburg Science Summit 2025 is closed. Those who were not able to secure a place this year are warmly invited to follow the event via livestream.
SaxFDM Digital Kitchen – Die EOSC Föderation – Open Science in Europa
In der Digital Kitchen gibt Prof. Klaus Tochtermann, Präsident der EOSC Association, einen Einblick in aktuelle Entwicklungen rund um die EOSC und den Aufbau der EOSC Föderation. Welche Mehrwerte für Forschende durch die Dienste der EOSC Förderation entstehen, wie diese genutzt werden können und welche Entwicklungen anstehen, erfahren Sie bei uns.
Open Science Summer School 2025: 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 experience in teaching required. Participants of this track learn how to: Design and deliver Open Science workshops, and apply basic didactic techniques to diverse audiences; Apply activation methods in the classroom to foster motivation and attention; 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.
OASPA Conference on Open Access Scholarly Publishing 2025
Please save the date and look out for registration opening soon.
Responsible Research in Action
A multi-stakeholder unconference to improve research culture and practice.
IT- und Datenkompetenz im FDM – Fokus 1: Programmierung und Automatisierung
Im Zuge dieses Hands-on-Workshops werden Konzepte zum effizienten und reproduzierbaren Management von Forschungsdaten vermittelt. Ziel des Workshops ist es, die Teilnehmenden mit verschiedenen Werkzeugen vertraut zu machen. Ebenso soll das Bewusstsein für Computational Thinking, Automatisierung und Optimierung der eigenen Prozesse geschärft werden. Die Veranstaltung beinhaltet die Einführung in Datenhandling, die Unix-Shell, die Programmiersprache Python und das Versionierungssystem Git.
Data Science as a Research Method
The course is targeted at PhD students and young researchers who want to apply data science methods in their research. It covers various data preparation, statistical modeling, and visualization techniques for extracting knowledge from the vast and complex data sets that have emerged in business over the past years. The learning objective of the course is to enable participants to apply these techniques in design-oriented and/or quantitative empirical research projects.
9th Open Science Retreat: Diamond OA: Utopian Dream or the Only Fair Future?
Diamond Open Access has gained increasing attention in recent years as a community-led, equitable model for scholarly publishing that aligns closely with the principles of Open Science. But is Diamond Open Access the long-awaited solution for equitable scholarly publishing – or merely an idealistic vision? This retreat critically explores the promises and limitations of Diamond OA, its role in advancing Open Science, and the role of the scientific community in the success of the model. A view on financing models and a spotlight on successful Diamond OA initiatives will provide practical insights into key success factors and persistent challenges.
Artificial Intelligence and Knowledge Graphs for Scholarly Data -Two-Day Summer School
Summer school on Artificial Intelligence and Knowledge Graphs for Scholarly Data. Join us for two days of interesting discussions and insights, casual networking, and summer vibes on the beautiful Leuphana campus. The theme of this year's event is "Research Towards Sustainable Societies". As always, it will revolve around applications of Artificial Intelligence (AI) and Knowledge Graphs (KGs) for the handling of research data. This time we hope to bring together scholars from the social sciences and sustainability research to explore the potential of said computational methods for understanding and addressing the challenges of a sustainable future for all.
Reproducibility and Scientific Computing
This workshop is designed to provide a balanced mix of theoretical background and practical skills, ensuring you gain a thorough understanding of key topics, including writing reproducible manuscripts for small-scale data analysis projects, high-performance computing (HPC) for large-scale projects, packaging and software development.
KI in der Lehre – Einfach machen, offen gestalten
Anhand konkreter Anwendungsbeispiele wird gezeigt, wie generative Tools wie Text- und Bildgeneratoren nicht nur bei der Materialerstellung unterstützen, sondern neue didaktische Spielräume eröffnen können. Nach einem kurzen Input mit Beispielen aus der Lehrpraxis und aktuellen Einblicken in die Entwicklung und Anwendung von KI, arbeiten Sie in Kleingruppen an ausgewählten Szenarien. Dabei wird KI als Sparringspartnerin, Visualisiererin oder Impulsgeberin erprobt – stets mit Blick auf reale Lehrkontexte. Die Erfahrungen werden im Plenum reflektiert. Im Mittelpunkt steht die Frage, wie der Einsatz von KI didaktisch sinnvoll gelingen und die Gestaltung offener, qualitätsvoller Lehrmaterialien unterstützen kann.