• Data governance is more than just quality and safety. Acquisition (purchasing, collecting), and connection with the business (intended use, forms of use), and disposal (archiving, destruction) are part of it.
• Data rating and wider (re) use means that metadata is needed per individual record, not per set.For Metadata also provenance, originally intended use, responsible use and limitations needs to be mentioned.

• PlanBreda.nl is a platform for digital participation in Breda. 
• It facilitates initiators and their plans to get to a next level in their process, by involving stakeholders through for example online voting or discussions. 
• You can imagine that this can generate many valuable data regarding social issues. 
• PlanBreda builds towards a community of involved citizens. 

• A collaboration between 19 public authorities to collect, store and distribute traffic data
• Using this data to provide traffic information, to ensure effective traffic management and to conduct accurate traffic analyses.
• Several experiments with combing data to answer questions of our partners
• What are the benefits and disadvantages of using algorithms, best practices

Last year Mathijs was commissioned by the management to ensure that the city of Tilburg becomes a data-driven organization. Mathijs talks frankly about the search of the city for answers on these questions.

• What is a data-driven organization and why would we want it in the first place?
• How will we make it work?
• What works and what doesn’t work?

• In-depth data analysis to identify persons with confused behavior
• Where is the problem within the city and do we know this people in other places within the city
• A developed dashboard to follow this theme properly
• Using this data to get an idea what happened to these people in terms of approach

• IoT Project to enhance visitor experience in museums
• Exploring indoor positioning to gain insights in visitor interests and behaviour
• Using open data to recommend visitors other places in the city based on their interest profile.

• What is data ethics?
• Data ethics in practice: tools and principles
• What is needed to make data ethics happen?

• IoT Project to enhance visitor experience in museums
• Exploring indoor positioning to gain insights in visitor interests and behaviour
• Using open data to recommend visitors other places in the city based on their interest profile.

• Starting a project together with the entrepreneurs association of the city to map passers-by
• There has been chosen for counting sensor from Numina, because of a product based on privacy by design.
• Using this data to gain insights into the expected crowds, so they can determine opening times and schedule occupation
• Data can also map preferred behavior at the station and crowd control during events
• Best practices and right balance between technology and the value it yields

The digitalization of public space is happening at a high speed. BrabantCity likes to engage in a conversation to gather insights of different municipalities.

• There is an inevitable increase in data collection by means of sensors.
• Dutch cities have therefore agreed on a set of Principles for the Digital Society
• How will we bring these principles to work?

Social issues extend beyond the boundaries of a single organisation. The Datalab connects organisations in order to solve social issues together, based on data. 

Do you believe in the power of cooperation? Do you want to obtain a holistic view of community challenges and contributing to solve social issues? Then we would like to welcome you at our table for a nice conversation.

• Working in triple/quadruple helix
• How data support business case and political decision making
• Predicting future mobility behaviors 

• Data-driven regulation in smart cities: how is data collected, reused and fed into administrative decision-making and local policies?
• Legal implications of data-driven regulation and policies and in particular exclusion;
• Within ‘exclusion’, I’ll focus on the problem of digital literacy and the digital divide.

• Privacy by design – a customer case (local government)
• The art and science of pseudonymization
• Shintō Labs solution: a hybrid solution of secure data management

• What is a Digital Twin for Living Environment?
• Who and what do we need to make Digital Twin successful in the Netherlands?
• Examples of other countries (Singapore, Helsinki, UK)
• Results of the pilot with the municipality of Zwolle (Stadshagen district)

• Role of cities to work to mobility management of the future eg using ai, data standards
• Work together and anticipate with private partners, universities, startups and Citizens to change the behaviour of mobility needs and possibilities
• Organize an affordable, inclusive attractive with smart mobility 

• Ambition to develop a Digital Twin City Model as a strategic decision support tool
• Using this model for dash boarding and developing scenario’s to make integrality and complexity more visible to increase collaboration during the utilization task of Eindhoven.