Glimpses of the successful "Blockchain in Science" workshop conducted by Consense Data Exchange that happened yesterday as part of the Data Science Workshop Series !
Vast amounts of data are being generated across all segments of society. If taken advantage of, these data offer an unprecedented opportunity to accelerate scientific discovery, to improve healthcare and wellbeing, and to strengthen our communities. Data Science is an interdisciplinary field concerning the scientific methods, systems and workflows used to obtain insights from data.
We are a pioneering, university-wide network of data-driven researchers at an institution with more than 25 years’ experience in Data Science education and research. Our community consists of multidisciplinary teams that address significant scientific problems and major societal issues through and related to data science including social, legal and ethical concerns in a wide range of academic disciplines.
Hiring for diverse positions
We have identified three key research themes to focus our efforts on:
We have identified two primary objectives in education:
Experts in Data Science from different application fields will meet in multi-disciplinary teams to share and combine their knowledge in order to create data driven innovations
How can we use data science to create knowledge that strengthens and empowers society?
The data science community, that's being established at Maastricht University, will help provide the answers.
The Institute of Data Science invited submissions of posters highlighting innovative and impactful on-going research projects that have data science components to tackle key problems of societal relevance.
The Institute of Data Science invited the submission of visionary essays concerning the future of a data-driven society.
The Institute of Data Science invited the submission of exceptional research proposals that focus on the use of data science to tackle problems of significant relevance to society.
Research that transcends individual disciplines is highly regarded in academia, yet known to be incredibly challenging. Matthijs Cluitmans demonstrates that it is not only possible, but also of great added value. He obtained a joint PhD in 2016 from the Department of Data Science and Knowledge Engineering (DKE) and the School for Cardiovascular Diseases (CARIM). Before that, he studied both disciplines in Maastricht, and he now works for both institutes as well as at Philips Research.
Claudia Egher, PhD Candidate at the Faculty of Arts and Social Sciences, wins IDS Vision Essay Competition
In May 2018 the General Data Protection Regulation (GDPR) will come into effect. Applicable to the entire EU, its aim is to protect the individual rights of citizens while guaranteeing free and secure movement of personal data within the EU. According to André Dekker, professor of Clinical Data Science we are so concerned about privacy protection that we’ve lost sight of the value of the data. “We need to be careful not to throw the baby out with the bathwater.”