EVENTS and
NETWORKING
Welcome to Kiez of Computing and Data Science, a platform for interconnectivity in all areas of data science and computation within the metropolitan region of Hamburg, Germany. Our mission is to connect academic institutions as well as public/private partnerships and share expertise and knowledge, resources and tools, and many more within the exciting area of data science.
The need for critical know-how in technical, legal, and ethical aspects of data science is evolving daily in the fast-paced and dynamic areas of science and computation that work with vast quantities of data.
Kiez of Computing and Data Science provides an interdisciplinary forum with expertise and contacts in all aspects of data science to build a connected knowledge base in data research and management which will foster new understanding of complex systems. It implements part of the Data Science & Digitalization topic of PIERPLUS.
Data science topics range from machine learning, artificial intelligence, distributed infrastructure, exascale computing, research data management and research software engineering.
Hamburg, globally renowned as an important European logistics and research hub with an excellence University and premier research institutions offers both, the competencies as well as the network, to tackle Big Data challenges together.
The Hub of Computing and Data Science will hold an RSE day in the Science City Bahrenfeld. The event is tailored to scientists and software developers working in Research Software Engineering and people interested in the field. It aims to strengthen our community in Hamburg, share experiences, and showcase our work. As the requirements for sustainable research software increase, we see the potential to build a community of practice that meets regularly and tries to leverage synergies in the metropolitan area.
Research Software Engineers (RSEs) specialize in developing and maintaining software that supports scientific research. They combine software engineering expertise with a deep understanding of research methods and domain knowledge in specific scientific fields.
That means RSEs are crucial in bridging the gap between advanced computing and scientific inquiry, ensuring that software solutions are robust, efficient, and tailored to researchers' needs.
If you feel you belong to this community, you are invited to submit an abstract for a poster showing your work and complementary lightning talks.
This event will provide a platform for lively discussions with lightning talks and community engagement during the poster sessions. Two keynote presentations will round out the program by providing insights into successfully implemented RSE. Hopefully, it will generate new ideas and help find collaboration options.
Universität Hamburg
Adeline Scharfenberg
Universität Hamburg
Adeline Scharfenberg
Universität Hamburg
Adeline Scharfenberg