Together with our partners we conduct groundbreaking research aimed at creating value with data science. In research partnerships, a PhD position can play a central role in the development of new valuable scientific knowledge.
A PhD trajectory at JADS is not a black box of 4 years of research with an outcome only after that. Because of our focus on ‘impact in practice’, we focus every year in a PhD program on the completion of a sub-question. This ensures that all parties (university – company – student) remain involved in the research process and that the value towards impact can be accelerated in practice. Several deliverables are agreed within the PhD project.
Various PhD research projects are active within JADS. A project with a PhD regularly has a duration of 4 years and is a long term commitment in valuable research. Because of our focus on ‘impact in practice’, we focus every year in a PhD process on the completion of a sub-question. A financial contribution for the length of a PhD project is required from the participating company or organization.
Within JADS we work with a number of domain focused research programs. The aim is to investigate how data science can be applied in a domain so that it has a maximum positive impact. We distinguish the following applied research programs within JADS.
he Data Analytics Unit (DAU) of JADS combines expertise in the domains of causal inference, social network analysis, AI, and in particular machine learning with the goal of explaining the dynamics of complex phenomena.
Data engineering for studying sensor networks and machine learning pipelines.
Using machine learning and network analysis to study interactions in meetings, entrepreneurial pitches, social influence, interaction norms and routines.
In addition to the programs for applied research, we also work with a number of labs that conduct research into the possibility of new technologies and theories. The results of this can be applied in several ways. The following research labs are active within JADS:
In order to continue to provide sustainable food for the growing world population, something must change rapidly. Data science plays a key role in the transition of the sector.
The field of Social and Digital Entrepreneurship, that is often referred to as Data Science and Artificial Intelligence for the Good, refers to the digital knowledge and skillset that is needed to develop and run enterprises whose primary objective is to contribute to the solution of societally relevant problems.
At the department Data Science in Crime & Safety we believe that data science can contribute to safer society. Therefore, we investigate and apply data science in a fair and responsible way.
JADS provides innovative data science programs at undergraduate, graduate and postgraduate level, conducts cutting edge data science research and offers great business opportunities with a continually growing ecosystem. From startups to SMEs and large corporates, our business partners gain access to talent, high level knowledge and business opportunities.
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