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Program of Beyond Data

If you have a topic or speaker that can not be missed at the program, please contact program manager Sjoerd Jans

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Opening by Chairman Toon Vanagt, Managing Partner & Chairman Open Knowledge Belgium



Welcome by Jack Mikkers, Mayor of ‘s-Hertogenbosch





A responsible digital city requires vision (Tada and AMDEX)


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  • Technology and use of data have us more connected and intertwined than ever before. For success we are becoming interdependent upon each other
  • Meanwhile a shift towards an ethical, trusted and democratic data economy is gaining momentum
  • Exploiting these trends will present an opportunity to position ourselves at the forefront of data use and accelerate AI innovation. But how?

Willem Koeman, Challenge Lead Digital Connectivity, Amsterdam Economic Board




Successful collaboration between government and industry: from data to information


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  • Use of data, not least in rural areas
  • A demo about the environmental and real estate information

Jeroen Weekers, Projectmanager Municipality of Eersel and Hans Timmerman, Director Fortierra




Data governance beyond the technological change

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  • How representing and controlling society through data changes our institutions
  • How data carry and affect value (biases and limitations)
  • Holistic approaches to regulation and data governance (ethics, accountability, transparency)
  • Responsible data practices (recommendations for local governments to constitute accountability, develop digital and ethical literacies and include citizens)

Francien Dechesne, Assistant Professor at eLaw Center for Law and Digital Technologies, Leiden University




Time for coffee or tea!



11:45 ROUND 1 // 12:15 ROUND 2

During these sessions each table will take place twice. Therefore it is possible to choose two different tables.


1. A Holistic Data Governance Framework
Jochem van den Berg, Open data Consultant and Sara Spaargaren, Consultant Open Government at The Green Land

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  • 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.


5. Plan Breda – Digital participation in Breda
Karin Neijenhuis, Communication Advisor, City of Breda


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  • 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. 


9. Optimal use of traffic data
Marlous Hovestad, Traffic Advisor, The National Datawarehouse for Traffic Information (NDW)

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  • 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

2. Help! My organization wants to become Data-driven!
Mathijs van Niel, Programmanager Working Data-Driven, City of Tilburg

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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?

6. Persons with confused behavior
Marit Beijers, Consulant Information management, City of Tilburg


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  • 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

10. Museum of Things for People – Using open data in museum experiences

Pieter-Jan Pauwels, Innovation Lead, Digipolis Gent

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  • 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.

3. Data Ethics in practice
Piek Visser-Knijff, Data Ethicist

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

7. Datacommons 4 smarter public safety
Ben Kokkeler, Professor of Applied Science, Avans Highschool

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  • 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.

11. Using sensors for counting passers-by
Paul Geurts, Strategic Advisor Information Management at City of Nijmegen

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  • 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

4. Digital principles for the city sensoring and a sensor register
Ran Haase, Policy Advisor and Artificial Intelligence, VNG
Radboud van der Linden, Policy Advisor Data Management City of Breda

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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?

8. How datasharing helps us create and measure social change
Lisanne Rijnveld, Data Scientist, Xomnia

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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.

12. E-car sharing in urban areas
Dorien Lathouwers,Sustainable Mobility Entrepreneur and Founder of GoChargeGo

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


Time for sandwiches and drinks!




How to deliver the potential of the data driven digital solutions in health and wellbeing with collaboration of stakeholders


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  • How can we create value-adding services using the potential of data?
  • What is importance of the ecosystem and collaboration to create innovative services and solutions? The Estonian experience!
  • What are lessons learned?
  • What are some future trends?

Piret Hirv, Health Technology Division Manager, Tallinn Science Park Tehnopol




14:15 – 16:15

Choose the sessions that fits your interests.



Chairman: Piek Visser-Knijff, Data Ethicist

During this track, we give examples of data sharing. We also look at the legal challenges. The chairman makes sure that we discuss these challenges in combination with the cases.

14:15 – Case 1

Smartcities: Legal challenges of a data driven governance
Sofia Ranchorda, Professor of Law, University of Groningen

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  • 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.

14:45 – Case 2

Privacy by design in practice – keep your data protected while utilizing
cloud technologies
Jurriaan Souer, product Strategist & co-founder of Shintō Labs
Frank Keeris, Projectleader and i-advisor, Municipality of Ede

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


Chairman: Toon Vanagt, Managing Partner Data.Be

We start this track with a discussion about what the most important topic are to create an open and transparent government. With this in mind, we show 2 cases with a high social relevance.

14:15 – Interactive discussion:

How to deal with open data as a government?
Wilma Haan, Director Open State Foundation

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During this session we try to prepare an agenda, so it becomes clear to the public what priorities the various target groups have. This can provide insights about future opportunities. The outcome of this session will be followed up during the Den Bosch Data Week in October.

14:45 – Case 2

A Pilot between the City of Zwolle and Kadaster: Using a digital twin to manage and simulate information about the physical environment
Magdalena Grus, Consultant for Product and Process Innovation & Marcel Broekhaar, Program manager Smart Society, Kadaster

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  • 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)


Chairman: Lizann Tjon, Program Manager, Smart Mobility, City of Amsterdam

Mobility is one of the biggest challenges of governments. During this track, we give you insights in the possibilities with data and mobility by presenting innovative cases

14:15 – Case 1

Future of mobility in cities
Lizann Tjon, Program Manager Smart Mobility, City of Amsterdam

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  • 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 

14:45 – Case 2

Smart Urban Planning
Michiel Oomen, Strategic Advisor Data and Innovation, City of Eindhoven
Mieke van Schaik, Strategic advisor CIO office, City of Eindhoven

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  • 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.  

15:15 – Time for coffee or tea!

15:45 – Case 3

Networkgovernance & datacommons 4 public safety, a match made in heaven?
Steven van den Oord,
Researcher at Antwerp Management School

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  • Organizational networks for collaboration in the digital era
  • A specific configuration of these networks are datacommons, three or more organizations sharing publicly owned data(sets of resources)
  • Public-social datacommons address the fundamental problem of autonomy versus control
  • Which institutions and structures of authority and collaboration do they use to allocate data and to coordinate and control joint efforts across the common as a whole?

15:45 – Case 3

Energy transition, Data-driven and human-driven
Paul Suijkerbuijk, Open Data Expert, VNG Realisatie

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  • When can which district or neighborhood become natural gas-free and what are the social costs to do so?
  • The balance between a data-drive and a people driven approach

15:45 – Case 3

Road Safety Model Rotterdam. Best Contribution NVC 2019
Roel van Rijthoven, Coordinator Traffic, City of Rotterdam
Sjoerd Braaksma, Data Scientist, City of Rotterdam

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During development of the Road Safety Model, the traffic experts of the City of Rotterdam closely collaborated with municipal data scientists. We focus on model development and the most important Goals of Road Safety Model Rotterdam, which are:

  • Linking data on historical accidents to data on the roads, traffic and environment of the accident location.
  • Estimate high-risk locations through a ‘traffic risk score” as prime targets for municipal intervention.
  • Visualize the results in a dashboard.



Using data to create healthy working & living environments
Arjan van den Born, Professor at Jheronimus Academy of Data Science (JADS) and Professor of Digital Entrepreneurship at Tilburg University.




Closing Speech by Chairman Toon Vanagt




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