This project was developed as a Master Thesis project for an Engineering Management MSc degree at DTU.
The Engineering management course seeks to shape “engineers capable of working at the interface between business and engineering”. This reinforces the idea that both qualitative and quantitative competencies are relevant for a project in this scope.
This research should not only satisfy certain learning objectives but also touch upon more specific fields that were studied during the programme.
It is believed that this subject is highly connected to at least 4 topics that were studied during the above-mentioned degree.


Sustainability is an intricate part of DTU’s strategy, as mentioned in its mission statement: “The University will apply significant research strength to laying the foundations for technologies and processes that promote innovation and sustainability, and which address major societal challenges.
Not only as an important part of this particular institution, Sustainability is also a global concern that should be addressed with a high degree of importance. As shown in several research works. For example, Karel Mulder mentions that various civilizations throughout the world have collapsed as a result of unsustainable forms of agriculture.
For this reason, this project focuses on sustainability as a core part of eco-innovation by exploring the knowledge network behind biofuel research.

Management and Innovation

Management is another core pillar of the master's degree. It constitutes the qualitative field of research and is made of several different areas.
This project is highly related to management by focusing on:
    Innovation: By studying the knowledge network behind biofuels, there is an opportunity for understanding not only how these work, but also how companies create and retain value in the context of eco-innovation. For example, patents and publications are quantitative measures of innovation.
    Levels: Management has levels. One can distinguish between the national, the organizational, and the system levels. Throughout this research, all of these dimensions will be taken into consideration, as well as the complex systems that characterize them.
    Differentiation: Technology is one of the ways of differentiating a country or an organization. In this research, the factors that differentiate entities will try to be understood.

Data Science

The data revolution is upon the world - by data it is meant “lose information”. For this reason, it is hard to understand why this revolution shouldn’t serve as a catalyzer for solving other problems such as management, sustainability, or even innovation.
The preparing, studying and analysis of large sets of data is another important characteristic of this project. The dataset that is going to be studied is composed of 4585 patents and 5313 scientific publications, moreover, the complex dataset is stored in a relational database composed of more than 100 countries and more than 10000 distinct organizations.
In the context part of the report, more on this will be discussed.
Data science per se is not enough to solve problems, in order to make sense of the vast amount of information that such a database carries, one must apply efficient and effective techniques.
One of the reasons why this project exists is to help organizations, policymakers, and researchers to make sense of this type of information. For this reason, the project also focuses on machine learning techniques and algorithms that would be classified as Unsupervised Learning.
Last modified 1yr ago