Eventkalender

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.

This 2-day conference will mark the culmination of The University of Manchester’s Opening up Research programme 2024/2025 and is a collaborative effort by the Office for Open Research, the School of Engineering Open Research Lead, the UK Reproducibility Network, and the Cancer Research UK Manchester Institute. The conference brings together researchers from across the disciplines to explore the latest advances and to discuss important topical questions being posed by society around open research and integrity.

Friederike E Kohrs, Research Fellow at Charité BIH QUEST Center for Responsible Research, talks about Strategies for making reproducible research and open science training the norm at research institutions.

"Concerned about the reproducibility and transparency of research? Interested in learning more about meta-research, or the science of science? Looking for hands-on experience? Excited to work with other early career researchers across disciplines?"

Meta-analysis encompasses a broad set of methods to conduct a systematic, quantitative review of the literature in order to derive empirical generalizations. This workshop will deal with methods for conducting a meta-analysis. The purpose is to train the participants to conduct and publish a high-quality scientific meta-analysis within the broad field of management research.

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.

This is particularly useful in sequential decision-making tasks where a machine repeatedly interacts with the environment or users. Reinforcement learning is well known for its successes in robotic control, autonomous vehicles, game playing, and chat agents. In business, economics, and the social sciences, there is a recent explosion of applications including temporal difference learning and adaptive experiments.

The course includes 4 live Online Meetings, in which you will discuss the week’s contents with the instructor and fellow participants:

Meeting 1: June 17, 4:30pm-5:30pm CEST
Meeting 2: June 24, 4:30pm-5:30pm CEST
Meeting 3: July 08, 4:30pm – 5:30pm CEST
Meeting 4: July 15, 4:30pm – 5:30pm CEST

This is the latest in the series of regular free webinars from the UK Research Integrity Office on research integrity and related issues.

What does a ‘good’ research culture look like? This event will explore how research culture could be measured in a way that supports ongoing improvement, without imposing burdens or bureaucracy. Speakers will explore how this might be implemented throughout the research community, to help organisations feel more confident that their research systems, policies, environment and culture promote high quality and ethical research.

Many scholarly fields conduct descriptive research about the research process. Advocates and reformers have prescriptive ideas about how the research process might be improved. Policymakers, funders, publishers, and other stakeholders enact changes to the social and technical infrastructure of research. All have an interest in whether changes and reforms have their intended effects or unintended consequences that might accelerate or inhibit advancement, translation, and application of research. Together, these researchers and stakeholders are the research and development pipeline for improving the system and practice of research. The Metascience 2025 Conference will bring these communities together to share ideas, evidence, and foster a culture of continuous experimentation and improvement

A global gathering for knowledge sharing, community building, and opportunities to define a roadmap of research and intervention priorities to accelerate science.

Many scholarly fields conduct descriptive research about the research process. Advocates and reformers have prescriptive ideas about how the research process might be improved. Policymakers, funders, publishers, and other stakeholders enact changes to the social and technical infrastructure of research. All have an interest in whether changes and reforms have their intended effects or unintended consequences that might accelerate or inhibit advancement, translation, and application of research. Together, these researchers and stakeholders are the research and development pipeline for improving the system and practice of research. The Metascience 2025 Conference will bring these communities together to share ideas, evidence, and foster a culture of continuous experimentation and improvement.

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.

Working towards Open Scholarship in the Age of Intelligent Automation is the FSCI 2025 theme. FSCI organizers seek course submissions contributing to and exploring this theme, though all ideas in scholarly communication are welcome for consideration. The theme will also shape the institute’s plenary events.

Alle drei Tage drehen sich inhaltlich um offene Bildung, Open Educational Resources (OER), digitale Materialien und zeitgemäße Bildung. Das Programm wird weitgehend von den Teilnehmenden selbst gestaltet, die aus allen Bildungsbereichen kommen.

Erleben Sie zwei Tage voller Inspiration, Innovation und Vernetzung auf dem historischen Campus der Universität Wien! Das Open Science Festival bringt Forscher*innen, Studierende und Mitarbeiter*innen in der Forschungsunterstützung zusammen, um:

• die Zukunft von Open Science in Keynotes und Podiumsdiskussionen auszuloten
• Kompetenzen in interaktiven Workshops zu erwerben
• aktuelle Projekte in Poster Sessions und Lightning Talks zu entdecken
• Kontakte zu knüpfen und Teil einer lebendigen akademischen Gemeinschaft zu werden

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).

• Methodenintegrative Designs (Mixed Methods)
• Grundlagen und spezifische Merkmale qualitativer Forschung
• die Indikation qualitativer Forschung und die Rolle der Wissenschaftstheorie
• der 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

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.

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.

A multi-stakeholder unconference to improve research culture and practice.

Please save the date and look out for registration opening soon.

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.