Collaboration and communication of results in a cumulative science
Abstract
Since the beginning of the pandemic, the communication of research results to the outside world in a way that is understandable to the lay public has been gaining attention.
But what aspects should be considered for communicating results and sharing about them within science? And what kind of research collaboration should science mean in general?
We want to ask these and related questions together, trying to work out what constitutes and should constitute the process of science at the moment.
This event will take place as a discourse. That means we want to think together with the participants how we should communicate results within science and decide on future research steps based on them.
Keywords we will deal with are, among others, collaboration, cumulative knowledge process, transparency, mutual exchange and the relevance of different opinions.
Speakers:
David Grüning studied adaptive cognition at the University of Heidelberg with additional focus on measurement and statistical analysis. He is now doing his PhD in Heidelberg and at GESIS on basic cognitive biases in self-reports and researching metacognition, emotion(s) regulation, and the effects of digital environments in various collaborations. As a member of the Open Science AG of the PsyFaKo, he is committed to the discussion and dissemination of open research methods especially for students.
Maximilian Frank studied Psychology at the Ludwig-Maximilians-University of Munich and the interdisciplinary Master's program Human Factors in Engineering at the Technical University of Munich. He is doing his PhD in the DFG priority program META-REP on heterogeneity estimation in meta-analyses. As coordinator of the Open Science AG of the Psychology Faculty Conference, he is committed to the dissemination of open research methods and their communication in academic teaching.
Formalia
Date: 14.12.2022, 5-7 p.m.
Format: Discussion
Number of Participants: Up to 30
Link to registration: Closed
Access requirements: None, Open Science Newcomers are welcome!