Centre for Data Science

We are an association of motivated university members who represent the field of data and data science in the form of the Centre for Data Science at the University of Applied Sciences for Sustainable Development and beyond. We are convinced that working with data is a key skill.

We work together in research, teaching and transfer to further develop the understanding of data and data-based applications: collecting, gathering, understanding, applying, critically questioning, analysing and visualising data – in short: promoting data literacy as a basis for sustainable transformation.

What unites us is constructive, interdisciplinary cooperation, a shared infrastructure, creative methods and binding self-organisation. The diversity of our technical expertise is an outstanding strength that we use to inspire both within the university and beyond, in society, science and business. Together, we address transdisciplinary questions of sustainability in order to use data science for a sustainable society through innovative applications.

1. We create a cooperative working environment that offers the university community and society the opportunity to work with us on data-driven solutions to their problems. We contribute our knowledge and expertise with the aim of advancing the skills and abilities required to work with data.
2. We leverage internal synergies and strengthen the application of data science by pooling our expertise. This also contributes to the acquisition of joint projects, which help us to ensure the collaborative operation of the infrastructure.
3. We have an impact on the university community and beyond – lifelong learning, inspiring work with data. In doing so, we also consider the associated social implications of using technology. We see data skills as key qualifications and the basis for sustainable transformation, taking into account social implications and technological developments.
4. We promote and establish the awareness and visibility of Eberswalde and the HNEE in the teaching and research landscape as a place of data work for sustainability.
5. We investigate developments in digitalisation and artificial intelligence with regard to their effects and impacts on nature, the economy and society.

We regard these values as the foundation of C4DS, promoting the achievement of our goals.

• Interdisciplinary and collaborative cooperation
  We see ourselves as an interdisciplinary community that works together in an open, empathetic, appreciative, creative and reflective manner.
• Scientific approach
  Our approach is characterised by accuracy, rigour, clarity and integrity. A benevolent culture of error makes our community capable of learning.
• Inspiration
  We inspire with and through our work in research, teaching and transfer, and we are equally inspired by new ideas.
• Autonomy Self-organisation
  is key – we focus on our sphere of influence in our projects and exercise this influence in a self-determined manner.
• Integrity
  Transparency, commitment, an appreciative and constructive approach, and a sense of responsibility characterise our actions.