This page is a part of the mandatory statement of corporate social responsibility 2018/2019 according to paragraph 99a of the Danish accounting act.

 

PARTNERSHIPS WITH RESEARCH AND EDUCATIONAL INSTITUTIONS

 

We are committed to helping Denmark develop as a high-tech society. For this reason, we work with selected educational and research institutions.

Policy

In partnership with relevant educational and research institutions, Systematic wants to be involved in shaping developments in information and communication technology (ICT) in Denmark. We have close, long-term working relationships with the business community, educational institutions and other public-sector bodies.

We want to pave the way for cooperation across professional boundaries and sectors in order to achieve world-class computer know-how and develop new standards for working with and analysing big data.

We take part in selected projects and programmes where we can contribute our technological expertise and specific domain knowledge. Projects and programmes are selected based on a specific assessment of the economic and beneficial potential for society.

Implementation

Systematic has partnered with several Danish universities to contribute to educating the next generation of IT competences. We contribute as guest speakers, we provide cases for students to learn from, we organise activities at Systematic, we are active in the panels for relevant institutions, and we have internships etc.

Systematic also invests in related research areas, where we contribute our knowledge, time and investment in selected projects and programmes. For example:

Systematic has joined forces with several other public and private organisations and universities in Denmark on the big data project DABAI (Danish Center for Big Data Analytics).

The aim of the DABAI project is to explore the full potential of big data – in the health sector for example where important, anonymised data is collected on patients. At Systematic, we see huge potential in the interplay between big data and machine learning. Computers can find links and patterns in large volumes of big data, and predict developments with much greater precision than people. In this way, technology can assist doctors and other clinicians in critical decision-making.

We have partnered with Aarhus University, Aarhus University Hospital and Aalborg University Hospital in a research project supported by Innovation Fund Denmark: ‘Hospital@Night’. The project aims to develop a solution for reducing chronic stress among hospital physicians. The system will convert the constant stream of phone calls from different wards to the duty physician into tasks on a smartphone – while simultaneously providing the physician with the patient data he/she needs to perform the task.

As sponsor and co-owner of AGF Esport, Systematic helps develop young, local talents within the world’s fastest-growing sport – esport. AGF Esport was formed in 2018 through a collaboration between the local Aarhus football club AGF and Systematic. Through this collaboration, Systematic wants to contribute to Aarhus’s cultural life and provide a solid framework by which young talents can develop their gaming skills alongside other personal skills in a secure community with other like-minded young people.

Results

Through these collaborations, we believe we have contributed to improving IT education in Denmark and to the quality of university graduates. Our contribution to study programme curricula and as well as research projects provides practical software development experience.

Another result of the research projects is the IT solutions that we are working to develop. For example, through cooperating with DABAI, Systematic has developed the IT solution ‘Columna Patient Flow’ – an intelligent solution that provides an overview of bed capacity in hospitals, and which, through machine learning, can forecast patient flow during the coming week on the basis of both historical and current data. Columna Patient Flow supports clinicians in critical decision-making as well as improving efficiency and patient care. 

Risks

Unless we contribute to developing IT study programmes and research, there is a risk that graduates are insufficiently qualified to work with the actual challenges in the future of software development.

Through participating in research-projects, we are addressing important needs in our society, where big data and machine learning can be key to providing solutions. If our solutions fail to address these needs, we risk losing ground to our competitors. We must be at the forefront of research within this area in order to explore the full potential of big data.