Event Calendar

Two talks focusing on two different organisations that are helping to make global access to knowledge more open and equitable.   Nick Sheppard and Professor Chrissi Nerantzi from The Knowledge Equity Network, will talk about the aims of the network and the role of open access.  Carol Hollier from Research4Life, will discuss the mission, aims and goals of how Research4Life brings access and content to developing countries and the importance of academic and professional partnerships. 

Struggling to turn data into valuable insights? Wondering where to find the right research data for your topic? Finding it tough to choose the right algorithms and methods? Or maybe you just have a data-related question that has been on your mind for a while, but you have not had the right space to ask it? Kick off with your most pressing questions and dive straight into hands-on sessions. Collaborate with peers who share your challenges or offer fresh solutions. Explore methods, tools, and approaches together – this is your chance to experiment, learn, and build from real-life problems. Continue working on your data challenges and refine your solutions. Wrap up with concrete outcomes, such as best practice guides, code snippets, or new strategies. Share your insights and take away practical ideas to support your future research.

Für den Forschungsraum Berlin-Brandenburg ist das faire und nachhaltige Finanzieren von  Open Access ein drängendes Thema (Neufend et al. 2024), das aufgrund der Unsicherheiten in der Finanzierung von Wissenschafts- und Kulturerbe-Einrichtungen alle Einrichtungstypen unterschiedlich betrifft. In dieser Veranstaltung möchten wir mit Akteur*innen ins Gespräch kommen, die bereits eine nachhaltige, faire und kollektive Finanzierung von Open Access unterstützen und ermöglichen.

In diesem einführenden Workshop wird das Zentrale Open Educational Resources Repositorium für Baden-Württemberg (ZOERR) vorgestellt. Dabei geht es sowohl um die Nutzung aus Anwenderperspektive als auch um die Autorenseite. Zusätzlich werden die Features erläutert und Fragen zu Lizensierung, persistenten Identifikatoren usw. beantwortet.

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.

Would you like to use artificial intelligence (AI) in education and be on the safe side legally? Are you working with Open Educational Resources (OER) and wondering how you can use AI tools in a legally compliant way and create innovative teaching materials?
Then we cordially invite you to our workshop "AI, OER and law - solving practical cases together". After a theoretical part on copyright issues relating to the creation of (OER) teaching materials with AI, we will solve practical cases in groups and thus learn how to use AI programs in a legally compliant manner.

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

Kurzvorstellung PARWIN (Promoting Academic Research and Writing – an International Network). 

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?

Generative AI is increasingly applied in research and can support the implementation of FAIR and open research practices. But when AI models, infrastructures and tools themselves are closed systems, they fail to conform to good research practices and principles of Open Science such as trans­parency, accountability and reproducibility. This talk gives an overview of what openness can mean in the context of AI and the benefits and possibilities of open AI infrastructures for research practices. We will also give hands-on insights into specific ways to access and work with open (source) AI.

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.

Under the theme “Metadata in Action,” this conference is where diverse perspectives meet. Infrastructure providers, data stewards, researchers, and centre operators come together to exchange ideas, showcase solutions, and discuss how metadata acts towards shaping data quality, interoperability, and innovation in research. Whether you design infrastructures, manage data, or conduct research, this is your opportunity to see how improved metadata practices lead to better science. Join us to explore how metadata is not just managed - but making a difference.

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.