SRC TechWeek Workshop 2019

Emerging technologies and data processing tools are transforming the cities that we live in, and the way we live in them. The progressive adoption of open and shared data systems means that we now live in a world where we don’t just seek information, we are information. But - when it comes to emerging technology in today’s hyper-connected digital landscape- what is our moral progress with how we perceive and treat access to people’s personal information, and how can we be a little bit more human-centred?

The Smart Resilient Cities workshop was hosted by the Joint Centre for Disaster Research and Toi Āria: Design for Public Good, and explored the human behaviour and emerging technology interface; bringing together tech-industry leaders and showcasing our design-led project.

Our three fantastic facilitators on the night from Toi Aria included Associate Professor Anna Brown (Director Projects and Partnerships, Toi Aria), Andrew Tobin (Associate, Toi Aria) and Tim Parkin (Senior Lecturer, School of Design, Massey University).

Participants included local tech industry leaders and enthusiasts, private business owners, local and internationally recognised academics, and city residents.

Participants got involved in a game based exercise / deliberation activity using hypothetical scenarios to reveal people’s decision-making processes.

The workshop was:

-          Designed to explore various reactions from participants

-          Designed for participants to think about things in different (or new) ways

-          Designed for teachable moments about the realities of earthquake evacuation and urban renewal during recovery

Participants were presented with earthquake scenarios in Wellington City and when prompted with hypothetical actions responders may take, participants then displayed their levels of trust and benefit they felt on the board below.

Group discussions ensued, and our facilitators honed in on the central question of the night: what do you value when it comes to sharing your data, and what do you think they main risks are?

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