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Modelling cities of scientific culture

Modelling cities of scientific culture. 18 th April 2013 Capacity building session Murcia. Background.

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Modelling cities of scientific culture

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  1. Modelling citiesof scientific culture 18th April 2013 Capacity building session Murcia

  2. Background There is not yet any well-established definition for the concept of a City of Scientific Culture. ERRIN is currently compiling a report based on 10 workshops which took place across Europe, identifying models of “cities of scientific culture.” The report aims to outline a typology of what a city of scientific culture can look like.

  3. Background We are now looking for feedback on the six types and three models of strategic integration which we have identified, and which we outline in this presentation document. • Do you find the typology and models useful? • Do you find some more relevant than others? • Would you add a type or model?

  4. Objectives of this process • To identify and promote dynamic models of cities of scientific culture • To contribute to the debate on the role of science communication, science policy and EU research and innovation agenda

  5. Proposed typology Type 1. Science as an economic driver • In these cities, engagement in science is promoted as a way for the city to develop economically Type 2. Science as/in society • These cities focus on public engagement in science for informed, engaged citizens Type 3. Science as a model of participatory democracy • These cities engage citizens in science specifically in order to play a role in local policymaking Type 4. Science as education • These cities focus on goals related to education Type 5. Science as research • These cities focus on engaging the public and other stakeholders with local research facilities Type 6. Science as Smart Cities • These cities focus on systems – energy, transport and ICT

  6. Initial feedback from experts on the six types • Most cities don’t fit into only one of the six types. It may be more helpful to consider that a city could be a Type 1 in Biomedicine, but a Type 3 in Waste management, for example. • One could argue that 2, 3 and 4 are closer to “true” Cities of Scientific Culture, as they are more focused on citizen engagement. 1, 5 and 6 could also be described simply as Cities of Science. Could we separate them into three forms of public engagement (2, 3 and 4) and three types of city of science (1, 5 and 6)? • One could also argue that 2, 3 and 4 represent “social” models of Cities of Scientific Culture and that 1, 5 and 6 represent “economic” models. Could we also separate them this way? • Could we add Green Cities? Science Heritage Cities? Science for Social Inclusion as a separate type?

  7. Points for discussion • Is the typology helpful? • Do you have comments on any particular points? • Would you add, remove or change any types in the typology? • Do you agree with the initial feedback?

  8. Three more models Case studies in regional workshops also indicated that within each of the six types, a three-level model can be identified which looks at how well the strategic agenda is integrated in each city, and whether it is deliberate or emergent: • Strategic agenda: cities have an agenda in place to revive economies and improve citizens’ well-being • Developing agenda: cities in progression • Lacking agenda: cities with activities but without strategic vision or political priority

  9. Initial feedback from experts on the three models • Again, most cities don’t fit into only one of the three models. It may be more helpful to consider that a city could be a Model A in Green issues but a Model B as a Smart City, for example. • Some types don’t fit certain models. For example, it is not easy to imagine a Smart City with no strategic agenda. • Could we consider splitting Model A into two sub-models: cities which identify a problem in the city and define a strategy to provide a solution; and cities which are successful in their activities and who have a strategy in place to maintain it? • Can we consider these models as stages in a process, where C is the least developed and A is the most?

  10. Points for discussion • Is the set of models helpful? • Do you have comments on any particular points? • Would you add, remove or change any models? • Do you agree with the initial feedback?

  11. Anett Ruszanov Projects Manager projects@errin.eu Richard Tuffs Director director@errin.eu 3 rue du Luxembourg B-1000 Brussels Tel +32 2 503 3554 www.errinnetwork.eu @ERRINNetwork ERRINNetwork

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