At 28-4-2014 the Future Center Smart Systems (FCSS) was launched At the same moment the Leiden Center of Data Science (LCDS) was announced. This is not a coincidence.
FCSS and LCDS are two parts of the same coin. LCDS is focused on the Science of Data and FCSS is focused on using the results of the Science of Data to build Smart Systems or to give the Science of Data interesting problems to solve. FCSS is Practice and LCDS is theory.
When we look at Wikipedia we see that the Data Sciences are defined as “The study of the generalizable extraction of knowledge from data”. Knowledge shows itself in this case as Models, Patterns and Laws (Rules).
E-Science is a combination of: Signal processing, Mathematics, Probability models, Machine learning, Statistical learning, Computer programming, Data engineering, Pattern recognition and learning, Visualization, Uncertainty modeling, Data warehousing, and High performance computing.
Because E-Science is an abstraction of Science it can be applied to every science you can think of. In the case of the LCDS the current sciences that are involved are Physics, Astronomy, Bio-Science (Leiden Bioscience Park), Life-Sciences (Dutch Techcenter for Life Sciences, DTL), Medical Sciences (LUMC), Law (Leiden Law School), Aviation (NLR), Mathematics and Informatics (LIACS).
The FCSS is not only about E-Science it is also about using the patterns that are discovered to control processes and influence humans. In this case we are interested in the developments in Value, Case & Process-managers, Domain Models and Sensor-Technology. Theory is static and practice is dynamic. Theory becomes practice by doing.
In the long view we expect that the combination of Senses & Actions & Thinking Machines will lead to Autonomous Systems that will help and support Humans. These systems are sometimes called Robots because we believe Autonomous Systems look like us but an autonomous system like our Universe does not have to move itself.
The next step of the Future Center is to connect with practice, start with technology transfer and find out what the need is of the market.
The Future Center is already involved in some projects and we wants to start some more. If you are interested to participate in one of the projects or want to start a new projects send an email to email@example.com.
- Smart System Architectures
- Disclosure of Open Data (Repository, Data Warehouses/Data Cards, Visualization)
- Smart Innovation (Business-model generation out of Big- & Open Data)
There are already many on-line tools available that support the innovation process. The data that is used in these tools (for instance market-data) has to be gathered to validate the models. We want to use the Data-sciences to gather appropriate market-data and detect interesting business-opportunities, To do that we want to use Big- and especially Open Data.
- Smart Value Chain Integration & Reversal (Product Configurators, Data/Proces/Software-Mining, Intelligent User-Interfaces)
- Smart Education (Just-in-Time Education)
- Smart Buildings & Building Process (with ABN AMRO Dialogs House)
- Smart Food Chain & Dietetics
- Food & Health (with the International Alliance of Future Centers)
- Smart Urban Space (The Self Actualizing City)
- Next Generation Media
Media are at this moment based on the Sender/Receiver-concept. We want to use the Data Sciences to detect patterns, transform these patterns into text and images and implement a feed-back process with the customers.
- Next Generation Theatre
- Next Generation Energy Systems
- Smart Mobility
- Social Enterprises (Impact Finance, Social Bonds, Circular Systems, Cooperatives, Complementary Currencies)
- Future Jobs (Unemployement & Sense-making, with the International Alliance of Future Centers)
- Smart Care Systems
We want to use Smart Systems to help people that need Economic, Physical, Social and/or Mental Support.
- Virtual Future Centers (with the International Alliance of Future Centers)
- Next Generation Secure Data Centers
The Presentation of Prof. dr. H. J. van den Herik about Big Data and the Leiden Center of Data Science.