Automation & Control


Governments and companies are increasingly datafying there citizens and users, processing and deciding through algorithms, but does the developers of algorithms hold too much power?

How do we make sure that we use data in the most optimal way? Does seemingly objective processing of big data hold the truth or is it subject to (political) decisions by the developers that are kept too opaque at the moment? And if so what is the societal implications of issues such as inclusion, democracy and access, and how do we improve this?


More on this Grand Challenge


Fear the future. Or trust the engineers.

2018.04.07 | Algorithmic operation and control, DATALAB

Fear the future. Or trust the engineers.

If we are to trust the IT-engineers who design robots and AI-solutions, we have to be sure that they are taking their societal responsibilities seriously. Read the commentary [in Danish].

Humanity is the key to success with IoT technology

2018.02.18 | Algorithmic operation and control, DATALAB

Humanity is the key to success with IoT technology

If "smart technologies" are to be truly smart, there has to be a greater focus on what it means to be a human i different situations rather than on the functionality of products only. Read the commentary [in Danish].

Exercise apps like Endomondo help people overcome negative mental and bodily experiences and can potentially prevent lifestyle diseases.

2017.10.28 | Algorithmic operation and control, Data sharing and privacy, DATALAB

Apps have a positive effect on people who dissociate themselves from exercise

Exercise apps like Endomondo help people overcome negative mental and bodily experiences and can potentially prevent lifestyle diseases. Read the article [in Danish].