Political sciences / environmental sciences / geography

• What are the risks and opportunities for sustainable development from the use of artificial intelligence/ big data in the smart city?
• Which modes of securing are most promising for the smart city – protection, back-up, insurance, liability or resilience?
• How can public space and privacy be defended against privatization and private profit interests?
• How can cities influence technological development to ensure that it serves the goals of the local government? Is there a need for remunicipalisation?
• Which standards of data security, privacy and liability should be imposed by law/politics?
• When decision-making is transferred to artificial intelligence – which checks are needed, where and how should humans be able to intervene?

Law

• Who owns the data (and related profiles) generated by customers – the user, the service provider, the intermediary?
• Who is liable for a product/service in case of damage (who is the 'producer' of a co-produced service/product, what about intermediary platforms)?
• How can smart contracts be used to ensure consumer protection?
• When does antitrust law/ cartel law need to step in to limit market power of single corporations?

Computer sciences / modelling

• How can the artificial intelligence system self-organize to be resilient against abnormalities?
• How can we ensure that the system optimizes its behaviour to ensure the wellbeing of the citizens?
• Which simulation models are useful for autonomous driving and smart grids in the smart city?
• How can synergies between renewable energies, the smart grid and autonomous driving be realized in the smart city (for example, by storing excess energy in car batteries)?
• Which settings could enable privacy by design?
• Can smart contracts based on the blockchain ensure a secure usage of constantly optimizing services?
• What are secure software architectures to deal with the streaming of the high volume of data coming from the smart city?