Event Calendar

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.

The Barcamp Open Science is a barcamp dedicated to the Open Science movement. It is open to everybody interested in connecting with like-minded people embracing Open Science, unlocking new perspectives and networking on Open Science, and thriving Open Science together! Save the date!

Wir geben eine Einführung in Creative Commons (CC) Lizenzen und gehen kurz auf Rahmenbedingungen bei der Nutzung kostenloser Bilder, Videos etc. ein. Außerdem stellen wir Ihnen Quellen für kostenfreie Multimediainhalte vor und geben Hinweise zum Suchen und Verwenden legal nachnutzbarer Bilder und Co.

The conference focuses on theoretical or empirical contributions for these topics: New and experimental Developments in AI - (AI-driven) Entrepreneurship and AI-driven Business Models and Strategies - AI in Business Administration and Processes, e.g., Finance, Accounting, Controlling, Human Resources, Marketing, Production, Supply Chain Management, Quality and Sustainability Management - GenAI, explainable AI and Decision-making; Risk and Opportunities of AI-Agents - Ethics, Regulation and Policy of AI- Digital Transformation of Skills and Jobs - Infrastructure, Energy and Finance supply and AI Competitiveness - Micro- and Macroeconomic framework: Competition, Productivity and Markets.

Wie kann man künstliche Intelligenz sinnvoll und nachhaltig zum Erstellen von Multimediamaterial einsetzen?

Die 10|KSWD wird einen interdisziplinären und offenen Dialog zur Weiterentwicklung der Forschungsdateninfrastruktur fördern und gemeinsame Perspektiven für eine verantwortungsbewusste Nutzung sensibler Daten eröffnen. Neben nationalen Herausforderungen werden auch Fragen des europäischen und internationalen Datenaustauschs in den Blick genommen. Im Mittelpunkt stehen Fragen rund um die Infrastruktur zur Forschung mit Daten und deren Bedeutung für Wissenschaft, Politik und Gesellschaft. Fundierte, aktuelle und verlässliche Daten sind die Voraussetzung, um gesellschaftliche und wirtschaftliche Entwicklungen zu verstehen und zu gestalten.

Im Workshop widmen wir uns dem Design von OER-Materialien auf ganz praktische Weise. Lehrkonzeption und Mediendesign mit gängigen Bordmitteln: Wie erstelle ich Materialien, worauf sollte ich didaktisch achten, wie publiziere ich meine OER sicher und sichtbar.

Mit Hilfe von künstlicher Intelligenz OER-Materialien verschlagworten.