Do you work with complex datasets, would you like to make data-driven decisions and communicate your findings more effectively? Would you like to uncover patterns and relationships in your data while making your research more accessible to others?
If yes, join us for a two-day workshop to explore the principles and practise of data visualisation. Combining theory with hands-on implementation, the workshop will equip you with practical tools to transform research data into clear, engaging and informative visualisations.
You will learn how to translate and communicate research data through visual design, apply data visualisation techniques to identify patterns, trends and outliers and use visualisation to support data-driven insights and decision-making – making it easier for you and other scientists to understand and learn from the data.
This workshop is offered jointly by the Danish Data Science Academy (DDSA), the Danish Cardiovascular Academy (DCA), The Danish Advanced Research Academy (DARA) and the Danish Diabetes and Endocrine Academy (DDEA).
In this two-day workshop you will:
Throughout the two days, you will have plenty of opportunities to network with fellow researchers and speakers.
Main instructor:
Hans-Jörg Schulz, Associate Professor, Aarhus University (DK)
Keynote speaker: Tenure Track Associate Professor, Stefanie Zollmann, Aarhus University, (DK)
Capstone speaker: Professor, Stefan Jänicke, University of Southern Denmark, (DK)
Organisers:
This course is offered jointly by the Danish Data Science Academy, the Danish Cardiovascular Academy, The Danish Advanced Research Academy and the Danish Diabetes and Endocrine Academy.
The workshop is intended for early career researchers, including data scientists, basic and translational research scientists, clinical-researchers and clinicians, working within the scope of the Danish Data Science Academy, Danish Cardiovascular Academy, Danish Advanced Research Academy or Danish Diabetes and Endocrine Academy.
Please note that places are limited. Selected participants will be notified after the registration deadline.
Previous experience in R or Python is recommended but not required. Participants without programming experience but interested in the workshop, you are welcome to attend. Tutorials and introductory materials for Vega-Lite will be provided in advance to support participation throughout the course.
Please note that participation is not guaranteed. Priority will be given to participants employed at Danish research and health institutions or in the life science industry. Applications will be reviewed by the organizers. If the event is oversubscribed, participants will be selected based the target group criteria.
Dinner registration
The Academies will organize a networking dinner on 4 November, the evening before the event, and on the 5 November. Participation in the dinner is free of charge. Please sign up for the specific dinners upon registration and indicate whether you have any dietary requirements.
Accommodation
The Academies offer accommodation in Aarhus to all participants living outside the Aarhus area with check in on the 4 November and check out 6 November. Accommodation will be in shared double rooms.
Please sign up for accommodation when you register for the event. You will be informed about your overnight accommodation after the registration deadline.
Certification
A workshop certificate will be sent to all participants upon request at the end of the workshop.
No-show fee
Please note that it is free of charge to participate in the workshop. However the Academies will charge a no-show fee of 1000 DKK if you do not show up and have not unregistered from the workshop prior to its start.
Marie-Louise Tind Rasmussen
Coordinator
Marie-Louise.Tind.Rasmussen@rsyd.dk
+45 24 43 49 81
EAN: 5798 0022 30642
Reference: 1025 0006
CVR: 29 19 09 09
