Data Science Is here To Stay!
Data Science is a new engineering discipline and the main driver for innovation in the years to come. Just like computer science emerged as a new discipline from mathematics when computers became abundantly available, we now see the birth of data science as a new discipline driven by the torrents of data available today. We believe that the data scientist will be the engineer of the fu- ture. Therefore, Eindhoven University of Technology (TU/e) established the Data Science Center Eindhoven (DSC/e) in 2013.
Data is collected about anything, at any time, and at any place. Gartner uses the phrase The Nexus of Forces to refer to the convergence and mutual reinforcement of four interdependent trends: social, mobile, cloud, and informa- tion. The term Big Data is often used to refer to the incredible growth of data in recent years. However, the ultimate goal is not to collect more data, but to turn data into real value. This means that data should be used to improve existing products, processes and services, or enable new ones. Event data are the most important source of information. Events may take place inside a machine (e.g., an X-ray machine or baggage handling system), inside an enterprise information system (e.g., a order placed by a customer), inside a hospital (e.g., the analysis of a blood sample), inside a social network (e.g., exchanging e-mails or twitter messages), inside a transportation system (e.g., checking in, buying a ticket, or passing through a toll booth), etc. Events may be life events, machine events, or both. We use the term the Internet of Events (IoE) to refer to all event data available.
Data science aims to answer questions in the following four categories:
- Reporting: What happened?
- Diagnosis: Why did it happen?
- Prediction: What will happen?
- Recommendation: What is the best that can happen?
To adequately answer such questions there is not just a need for raw data and computing power. Expertise in data/process mining, probability/statistics/stochastics, and visualization are vital.
Data Science Center Eindhoven (DSC/e)
The Data Science Center Eindhoven (DSC/e) is an initiative of the Eindhoven University of Technology to set up a world leading research program in data science. The center is run as a doctorate school with a scientific research program consisting of seven major research programs. The programs are inspired by industrial and societal challenges and will leverage the world class competences at the Eindhoven University of Technology in the fields of data analytics, business analytics, human technology interaction, and systems design. To this end five university departments will work together in close cooperation. Prime objective of the DSC/e is to support excellent data science research at a world class level. Currently (i.e., in 2014) about 40 PhD students are conducting their PhD studies in data science. The DSC/e targets to grow the program to 80 PhD students in 2020. Second objective of the DSC/e is to shape the educational program in data science at TU/e to meet the demand for data science human capital in corporations, public authorities and more. Third objective of the DSC/e is to provide a platform for data science knowledge dissemination amongst partners in industry, with public authorities with academia.
Data Science Cartoons
Cartoons made by Marion van de Wiel during the DSC/e Workshop with industry in 2014.