Event Calendar

Das University:Future Festival (U:FF) setzt sich seit 2020 mit dem Thema (digitale) Zukünfte der Hochschulbildung auseinander. Mit einem umfassenden Programm aus Vorträgen, Workshops und Diskussionen ist es das größte und innovativste Hybrid-Event seiner Art. Das University:Future Festival ist eine Kooperation von Hochschulforum Digitalisierung, Stiftung Innovation in der Hochschullehre und Stifterverband.

The Collaborations Workshops series brings together researchers, developers, innovators, managers, funders, publishers, policy makers, leaders and educators to explore best practices and the future of research software.

Jonny Coates, Associate Director at ASAPBio, talks about preprints.

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.

The focus of the meeting will be on theory development and its intersections with Open Science.

This conference wants to address issues relating to economics and business information. Main topics: Research Data - Reshaping of skills and structures - Research support - Open Access.

This year edition of the workshop will gravitate around the following theme: "Open Access of Research Information". In particular, the first day will be dedicated to the Bologna Meeting on Open Research Information, to encourage discussion between the signatories and supporters of the Barcelona Declaration and other interested bodies and collaboratively orient the common roadmap, thus allowing the articulation of the outcomes that have recently been discussed during the Paris Conference on Open Research Information. The second day will be dedicated to invited contributions, presentations and a poster session selected among the participants in the call for contributions on the workshop theme.

Communicating your research has never been more important in this ever-changing digital world. This workshop will provide useful tips to guide you through the practical ways in which you can effectively disseminate your research outputs to wider audiences beyond the walls of academia.

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.

"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.