Posts Tagged ‘building’

About the Next Steps of the Future Center Smart Systems and the Leiden Center of Data Science

Sunday, May 4th, 2014

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).

The Data Sciences detect patterns based on facts and are an abstraction of the Scientific Process itself.  The Data Sciences are therefore also called E-Science. 

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

  • Smart System Architectures
Smart Systems need Smart System Architectures. They are a combination of existing architectures based on Process-Models & Sensor-Systems (the Sensory-Motor System) and new architecture that are related to Visualization (the Imagination), Analytics (Data, Process, Text, Software-mining (Thinking)) and Social Networks. (Emotions). The end state is called Global Brain (“The Singularity”).
  • Disclosure of Open Data (Repository, Data Warehouses/Data Cards, Visualization)
A lot of Open Data is entering the market. It is not clear where this data is situated and what the data means. In this case we need a Repository and tools to define what part of the data we need at this moment (a Data Warehouse, Data Cards). We need also tools to hide the complexity of the current open databases and makes it possible to show what is available (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)
The value-chains are integrating and the customer is moving into control. Currently a value chain consists of many companies that use many not integrated and not connected legacy-systems. These systems contain data and process-models. We want to use the Data-Sciences to detect these models (Process-mining. Data-Mining, Software-Mining) and map them to available domain-models (ACCORD, ARTS,…) or develop shared domain-models. The data that is used in the value-chain can be mapped to a product-configurator. Last but not least the user-interaction with the customers has te be designed.
  • Smart Education (Just-in-Time Education)
Technology is changing fast. This has a huge impact on education. The current system of education is not able  to react to the fast moving technology-waves because it is created  to support the Industrial Revolution that ended around 1950. We are now beyond the next wave that is taking over manual work and moving into the next step in which the Human Brian is copied. The solution to this all, Life Long Education,  is already invented a long time ago but we are not implementing this solution because the Current Education System is aimed at preventive education, trying to train people in the first stage of their life. The solution is Just-in-Time-Education, training people at the moment they need knowledge (DeepQA) or experience (Simulators).
  • Smart Buildings & Building Process (with ABN AMRO Dialogs House)
The Building Industry is already using 3D-Models (BIM). A BIM-model is a low-level product-configurator but the model can be moved to a higher level in which it is possible to share (and sell) complete Models (for instance a Hospital). The models can be used to simulate every attribute of a building and let the customers play with possible designs. The models can be used to calculate risk and most important optimize existing buildings (Facility Management). When we combine this with sensor-technology we are able to create adaptable buildings.
  • Smart Food Chain & Dietetics
The Food Value Chain will revert and the customer will be in control. At this moment the customers are educated with theories about food that are changing fast. “Good” Food is time, context and body-dependent. We want to make tools that use personal sensors that show the customer what they have to eat to stay healthy and tell them where and how they can buy this food.
  • Food & Health (with the International Alliance of Future Centers)
It is not clear what the impact is of Food on our Health. In this project we will analyze the complete food-chain.
  • Smart Urban Space (The Self Actualizing City)
This is an integration of the concepts of the Smart City, Integrated Value Chains, the Creative City and Smart Social Networks.
  • 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
We want to use the concept of  5D Film to create a new type of sensory and emotional experience.
  • Next Generation Energy Systems
Implementing Autarkic Energy Systems.
  • Smart Mobility
Using new concepts like the Self-Driving Car & Sensor-Networks  to optimize mobility in Big Cities.
  • Social Enterprises (Impact Finance, Social Bonds, Circular Systems, Cooperatives, Complementary Currencies)
The next generation enterprises has to be aware and reduce its impact on society and environment. In this project we also look the finance of Social Enterprises (Impact Finance, Social Bonds) but also at the circular economy, new organizational structures (cooperations, ) and new financial systems based on complementary currencies.
  • Conflict-Resolution/E-Mediation
Preventing and resolving conflicts by implementing Smart Mediation.
  • Future Jobs (Unemployement & Sense-making, with the International Alliance of Future Centers)
What are the consequences of Smart Systems on employment?
  • 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) 
Future Centers are currently location-based. Future Centers look like Smart Systems because they Sense their environment, react (Process Manager) on the Events that are happening, try to predict what will happen (Analytics), involve Networks (Communitiies of Practice, Interest and/or Affinity) and Scientific Knowledge Centers (like the LCDS), create a shared Vision and  put this vision into Action (Entrepeneurs, Innovators, Incubators). There are already many people busy with developing parts of the Virtual Future Center. We are currently designing an Architecture and will create an Alliance to join the efforts of all participants.
  • Next Generation Secure Data Centers
Smart Systems need Smart Data Centers.


The Presentation of Prof. dr. H. J. van den Herik about Big Data and the Leiden Center of Data Science.