Urban Innovation in Denmark
Urban Innovation is becoming a core aspect of Peace Innovation globally, as the majority of the planets population is now living in urban areas and all trends are pointing to an acceleration in the urbanization process. Furthermore recent research suggests that future conflict is increasingly likely to occur in densely populated, electronically networked settings at the periphery of sprawling coastal cities in the developing world (Kilcullen 2013). While Denmark is only affected by four of these five factors, it is also widely acknowledged as a very peaceful society with a high penetration of connectivity technology.
In this case study meaningful future urban interventions are effectively prototyped and tested today. The highly connected nature of Danish Cities allows us to experiment with technological solutions that is not yet available at large in developing countries and the relatively peaceful coexistence suggests baseline data for Urban Innovation benchmarking at a global scale.
The Peace Innovation Lab Denmark initiates detailed local field work in close cooperation with all stakeholders in selected neighborhoods in urban transition processes. During concentrated workshop processes local opportunities for urban innovation are revealed and supporting connectivity technology (e.g. smart phone apps) and economical measures are developed and iteratively tested locally. While the actual content of the concrete local intervention is of course of greatest importance initially we seek to find mature socio technical solutions that are economically sustainable and scale well.
A solid solution ideally integrates global markets potentials with big data and conflict boundary analysis to create a for-profit peace business case. Peace is often seen as a non-profit or policy-related goal, but the significant financial returns from urban conflict reduction and peace-building mostly accrue to private actors. We are creating a Reward-Per-Action platform to buy and sell peaceful actions at a granular level. By establishing a marketplace for peace at the neighborhood level, Urban Innovation creates value for banks, insurance companies, property owners, governments, and, of course, entrepreneurs - all while providing local economic stimulus and better living conditions for the citizens.
Aalborg East workshop
Mayor Thomas Kastrup-Larsen, the Municipality of Aalborg will open the workshop at a kick off meeting for all the stakeholders in the neighborhood Kildeparken in Aalborg East while Margarita Quihuis and Mark Nelson, Global Co-Directors introduce to the methodologies and also communicate world wide experiences in the area.
The following two days the workshop will continue with co-creation sessions, prototyping and experiments. The software company SenseMate will then develop a mobile app based on the proposals from the participants.
The workshop is organised by Kristian Løbner from COWI and Claus Bjørton from Himmerland Housing Association in cooperation with Morten Karnøe Søndergaard and Niels Einar Veirum from Stanford Peace Innovation Lab. It will take place in February 2014.
Big data business acceleration model
- The innovation lab [in our case the Stanford Peace Innovation Lab but it might be a university, an independent entrepreneur, or any knowledge unit working with or having insights on Big Data] can initiate the process by approaching any client having challenges which might be helped by Big Data analysis, methods and modeling.
- The Client [might be any entity public or private, facing challenges, which might be solved by applying Big Data analysis, methods and modeling]. The client can equally to the innovation lab initiate the lab by approaching the innovation lab.
The first mutual action is the meet-up. The primary objective of this is to create an overview of challenges and opportunities and map out which challenges might be solved, or which process might be optimized from Big Data analysis, methods and modeling.
Following the meet-up a commitment of change is made between the parties. At this point, if not already, the tech-build/start-up is involved [might be an independent third party, or a capable unit, with in the Innovation lab or with the client]. The innovation lab and/or the client might choose to facilitate seed- capital for a third party tech-builder or start-up facilitating the specific task at hand.
The next mutual action is for the innovation lab or client to host a work-shop or intervention. Participants include the innovation lab, the client, the tech-builder and Stakeholders [might be any entity that has a direct or indirect effect on the clients business, this might be insurance, banks, politicians, service- providers, legal-partners, end-users etc.]. The principal objective of the intervention is to facilitate a process ending up with a specific tech-build [might be an app and or any other similar device able to detect, measure and potentially modify data and hence behavioral patterns to solve challenges or optimize processes].
The process might consist of mapping out the principal challenges as these are known among client and stakeholders, then secondly mapping which solutions already exists and which ones works best, thirdly identifying other alternative solutions. The latter is done by mutually drafting tech-builds which might work. Traction tests and iterations are done throughout to see what builds might have the best trigger effect to achieve the desired goal of change, and by the end of the work-shop (2-5 day run) a vote is carried out, on which build to finalize.
Following the work-shop, if not already an escrow-service, is involved to secure that the tech-build delivers according to the desired effect [there needs to be a mutually agreed upon and objectively measurable data stream]. The escrow service then in return reports to the client, which pays the tech-builder a fixed sum for each change data/action delivered. At this time the change or optimization is already live with the target population and the client plus stake-holders are all backing the process of prompting behavioral change by spreading the tech-build making sure that it is implemented and on the side of the innovation lab and the tech-builder by constantly optimizing the impact.