A special issue of the International Review of Law, Computers and Technology, entitled ‘Rediscovering Trust in the Datafied City’, is open for paper submissions.

Interested authors should submit an abstract to , no later than 26 July 2018. Papers are to be submitted by 10 November 2018.

Edited by Forum founder Gilad Rosner and Prof. Joseph Savirimuthu, this issue “welcomes expressions from within and outside the law, which explore the frontiers of regulation and governance and critically consider the interaction between trust and the Datafied City.” It will be published mid-2019.

The Datafied City is seen as holding out the prospect for new forms of problem solving and governance. From Singapore’s Smart Nation to Alphabet’s project in Toronto’s waterfront and the Sensor City collaborative venture in Liverpool, data-driven decision-making has become a central policy and strategic priority. How trust is communicated and maintained will continue to be an ongoing governance challenge. The convergence of intelligent communication devices, technological infrastructure and people in modern urban spaces has important implications. Understanding the interaction between trust and technology is central to promoting innovation and ensuring public confidence in products and services.

Submissions should examine:

  • The nature and significance of concepts of trust and trustworthiness; how its features are manifest in particular products and services (i.e. driverless cars, energy grids, health)

  • Citizen–government (power) relations in the context of sensor-based public initiatives

  • Smart city data governance in relation to commercial partners

  • The emergence of design thinking, its potential and limits to data-driven agency

  • Questions of trust raised by algorithmic decision-making

  • The role of law in balancing efficiencies of data-driven decision-making with safeguards for individuals and consumers

  • Blockchains and the responsive Datafied City

  • Open Data and its role in expanding public deliberation and democratic discourse

  • Machine-to-machine trust, authentication and data provenance

  • Privacy and surveillance

For more details, see the publication’s homepage.