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.
Preserve-to-reuse: building open and reproducible data analysis services at CERN
Tibor Simko, Computing Engineer at CERN, talks about building open and reproducible data analysis services at CERN.
Crash Course: Writing machine-readable documents and search them for patterns
In many areas of modern scientific practice, it is crucial to document information precisely and in a machine-readable format and to search through it efficiently. This lecture provides a fundamental introduction to two essential tools that can significantly ease these tasks: Markdown and Regular Expressions. The second part of the course is dedicated to Regular Expressions. This powerful tool allows you to find and, if necessary, manipulate specific patterns within any string of characters. Regular Expressions are applied in various fields, from simple keyword searches to complex analysis and processing of data sequences. You will learn the basic syntax of Regular Expressions, enabling you to efficiently search for specific strings and automatically modify texts. For researchers who need to analyze large amounts of data or process complex texts, Regular Expressions are an indispensable tool.
Organising and Advancing Research Data Management in Federal Germany
(Higher) education in Germany is very federal, i.e. each of Germany’s sixteen federal states (Bundesländer) provides their own eduction system. This has an impact on how research data management (RDM) is organised and advanced in Germany – apart from the national research data infrastructure (Nationale Forschungsdateninfrastruktur, NFDI), there is a range of federal state initiatives to organise and advance RDM. In this meet-up, Sophie Habinger, project coordinator of bwFDM, the federal state initiative for research data management in Baden-Württemberg, will give an overview of which federal state initiaties there are and how they fit into the German RDM landscape. After that, she will elaborate on the exemplary case of bwFDM, showcasing this initiative’s agenda and its offerings.
Der AI Act und seine Auswirkungen auf die Forschung: Eine Interpretation
In this presentation, the roles defined in the AI Act will be presented and their relevance for researchers will be assessed. Furthermore, the classification of AI systems into different risk categories and their impact on research on AI systems will be discussed.
OER in Erwachsenenbildung und Hochschullehre: Rechtliche Grundlagen und praktische Anwendungsfälle
In dieser Online-Veranstaltung lernen Sie die Merkmale offener Bildungsmaterialien kennen und diskutieren deren Chancen und Herausforderungen. Besonderes Augenmerk liegt auf dem Urheberrecht und der offenen Lizenzierung. In interaktiven Übungen erfahren Sie, wie Sie offen lizenzierte Inhalte in Ihre Bildungsangebote einbinden können und was bei der Erstellung eigener OER zu beachten ist. Gemeinsam nehmen wir hierbei auch grundlegende Einsatzmöglichkeiten generativer KI in den Blick.
FAIRfest: Celebrating advancements of FAIR solutions in EOSC
The event is tied up with the 19th edition of the International Digital Curation Conference (IDCC25), and will be an opportunity for the European community to meet with the IDCC international audience to learn and debate around the latest achievements around: F for Findability: Persistent Identifiers & Knowledge Graphs – A for Accessibility: Semantic Artefacts – I for Interoperability: from the technical to legal interoperability – R for Reusability: Certification, metrics & guidelines for FAIR data and software.
Forschungsdatenkooperationen zwischen Wissenschaft und Wirtschaft ermöglichen
Gemeinsame Erarbeitung von Rahmenbedingungen zur Verbesserung der sektorenübergreifenden Zusammenarbeit beim Data Sharing. Im Mittelpunkt des Workshops stehen u. a. Fragen nach der Gestaltung des technischen und rechtlichen Rahmens, der Datensicherheit, Urheber- und Datenschutz gewährleistet, der Entwicklung von auf Gegenseitigkeit beruhenden Datenaustausch- und Datennutzungsmodellen, der Sicherung der Datensouveränität und
danach, wie ein Mehrwert für beide Seiten generiert werden kann. Die Klärung dieser und weiterer Fragen soll die Grundlage für eine künftige Ausschreibung der DFG bilden, mit der weitere Impulse gesetzt und zeitlich befristete Forschungsdatenkooperationen ermöglicht werden sollen. Darüber hinaus bietet der Workshop die Gelegenheit für eine Vernetzung von Wissenschaftler*innen und Wirtschaftsunternehmen zum Zweck gemeinsamer Kooperationen.
Teaching what we Practice – Open Science in Higher Education
This event is part of the Coffee Lectures on Open Science Education.
Abstract: Teaching what we practice means emphasizing the importance of integrating Open Science principles into academic teaching. The relevance of these practices lies in fostering a learning environment that mirrors the evolving landscape of scientific research. By embracing Open Science in higher education, instructors can teach students not only theoretical knowledge but also practical skills in transparent, accessible, and reproducible research. This approach includes employing open science practices such as filling out a pre-registration form, making students aware that sharing materials and data is helpful, and highlighting the importance of replications. As higher education institutions increasingly adopt these practices, they prepare students for a future where open and collaborative research is the norm, bridging the gap between academic training and real-world scientific practices. Lastly, current students seem to be open to open science practices anyways – creating a winning setting.
Speaker: Meikel Soliman, Leuphana University Lüneburg
Meikel Soliman is a Postdoctoral Researcher and Lab Manager of the “Leuphana Laboratories” at the Faculty of Management & Technology at Leuphana University. His research focuses on consumer behaviour, the emotion of embarrassment and consumer ethics. He also explores the question of what people associate with the term happiness and what behaviour really makes people happy (vs. what people think makes them happy).
FAIR February: R wie Dokumentation
Eine umfassende Dokumentation trägt zur Nachnutzbarkeit von Forschungsdaten bei. Lernen Sie, wie effektives und qualitativ hochwertiges Dokumentieren geschickt in den Forschungsalltag integriert werden kann.
Vernetzungsforum: Publikations- und Kostenmonitoring mit institutionellen Repositorien
Nach einer inhaltlichen Einführung durch das Projektteam, referieren Expert:innen zu konkreten Handlungsoptionen hierzu. Anschließend erarbeiten wir in Kleingruppen handhabbare Lösungen für das Publikations- und Kostenmonitoring im Kontext institutioneller Repositorien. Die Ergebnisse des Forums werden durch das Projektteam in Form einer Handreichung dokumentiert. Insgesamt werden so die Entwicklung von Best Practices im Bereich der Informationsinfrastrukturen auf nationaler Ebene unterstützt und die Vernetzung der Open-Access-Professionals gefördert.
Open Science Retreat
Our next topic will be “Artificial Intelligence and Open Science”. More information will follow.
Research Data Access and Preservation (RDAP) Virtual Summit
The theme of RDAP Summit 2025 is Evolutions in Data Services: Forging Resiliency. We encourage proposals that explore concepts such as technical, human, and organizational durability and flexibility in response to challenges and changes in research and data service needs.
Maximising Your Impact
In this workshop we will identify what impact is (and isn’t), the different types of impact and the potential ‘reach and significance’ of your research. You will reflect on how well prepared you are to create and capture impact and look at the important role played by your stakeholders. You will leave the session having made a good start on your Impact Map, which will provide a useful guide for you as your research evolves.
E-Science-Tage 2025: Research Data Management – Challenges in a Changing World
The E-Science-Tage are an interdisciplinary conference series on the topics of research data management and open science – with a wide range of opportunities for professional exchange between science and technology. Save the Date!
How to open science to society: Citizen Science
Uta Wehn, Associate Professor of Water Innovation Studies at IHE Delft Institute for Water Education, The Netherlands, talks about Citizen Science.
4th HELMHOLTZ REPRODUCIBILITY WORKSHOP
In this workshop we will delve into the core of reproducible science and its transformative potential for science. The workshop begins with two keynoteson reproducibility, one byAltuna Akalin(MDC – Software reproducibility of data processing and machine learning in the era of AI) and the other byFrieder Paulus(Lübeck University – Contextualization of reproducibility in the organization of academic work) – both of which will also be livestreamed, to make them easily accessible for researchers from all Helmholtz Centers. Following the keynotes, attendees can choose one oftwo hands-on workshopsthat will equip them with the tools and insights needed to make reproducibility a cornerstone of their scientific endeavors.
KI und OER im Einsatz: OER vielseitig und rechtskonform mit KI aufwerten
Im interaktiven Workshop werden die vielfältigen Möglichkeiten erkundet, wie Künstliche Intelligenz die Welt der Open Educational Resources (OER) transformiert und deutlich erleichtern kann. Dieser Workshop richtet sich an Hochschullehrende, die ihre Lehrmaterialien auf innovative Weise gestalten möchten. Die Teilnehmenden erfahren, wie KI dabei helfen kann, OER effektiver zu gestalten und den Arbeitsaufwand zu reduzieren. Von rechtlichen Fragestellungen bis hin zur praktischen Anwendung verschiedener Tools werden relevante Themen praxisnah beleuchtet. Dieser Workshop bietet die Gelegenheit, Bildungsinhalte mit neuen, innovativen Methoden zu gestalten und zugleich sicher entlang rechtlicher Aspekte handeln zu können.
Machine Learning
The course exposes participants to recent developments in the field of machine learning (ML) and discusses their ramifications for business and economics. ML comprises theories, concepts, and algorithms to extract patterns from observational data. The prevalence of data (“big data”) has led to a surge in the interest in ML to leverage existing data assets for improved decision-making and business process optimization. Concepts such as business analytics, data science, and artificial intelligence are omnipresent in decision-makers’ mindset and ground, to a large extent, on ML. Familiarizing course participants with these concepts and enabling them to apply cutting-edge ML algorithms to real-world decision problems in management, policy development, and research is the overarching objective of the course.
Is Science Self-Correcting? A Tale of Obscurantism Slow Response and Misconduct
Lonni Besançon, Assistant Professor of Visualization at Linköping University, talks about self correcting in science.
Using Surveys for Impact Evidence
This session will cover why it’s useful to use surveys for impact evaluation, when you shouldn’t use surveys for evaluation, how to develop a “good” survey question and response options, avoiding common pitfalls in survey design, using open-ended questions in your survey, using online surveys and pilot testing your survey. The presentation will last around 35 minutes and there will be additional time for questions at the end.