Projects & Observations
We are focused on the social trends that could shape the future and the tech tools that may drive it. Our projects are informed and influenced by our engagement with experts across the research, tech and design spectrums. In this space, we share what we’re learning, what’s inspiring, and what’s next.
Design
BY: Una Mc Grath, Design Strategist, FCAT | December 14, 2021
Social distancing due to Covid19 has made us think more about social connection—where, how, and why we connect—in our lives and in our work. As organisations adopt hybrid working, building business resilience for future climate or health crises, how do we best design for social connection in this hybrid, phygital (physical/digital) world? And why does social connection matter so much?
Article
12/13/2021
ARTIFICAL INTELLIGENCE
BY: COLLEEN McCRETTON | August 18, 2021
Over the last several years one of the FCAT AI teams - code named “RoboReader” - has been working on processing documents and taking needed information from unstructured text and transforming it into structured data that can be used by the business. In the course of the work, we have noticed parallels in the way we are “teaching” the system and how we read as humans.
Article
08/18/2021
Design
By: Una McGrath | July 29, 2021
The Future of Work was brought into sharp focus during the Covid-19 pandemic, as workers worldwide found themselves suddenly in the greatest work-from-home experiment in modern times.
This crisis has shifted values, behaviours, and attitudes across all areas of work and life, in particular about where, when, and how we work.
This crisis has shifted values, behaviours, and attitudes across all areas of work and life, in particular about where, when, and how we work.
Article
07/06/2021
ARTIFICAL INTELLIGENCE
BY: COLLEEN MCCRETTON | January 28, 2021
Bias in data used by AI algorithms is drawing increasing attention. The internet is full of examples of AI systems bias: recruiting algorithms trained on data that favored male candidates, facial recognition software unable to appropriately identify people of color, medical systems trained with data that is not sufficiently diverse, and many other examples. However, there is another aspect to bias that impacts AI systems and bears some scrutiny as well - the cognitive biases that users bring to the table.
Article
01/28/2021
FCAT Design
BY: WILL REED | September 21, 2020
I was struggling to facilitate my first Visual Thinking Strategies (VTS) session when it hit me — this was "another growth opportunity." Specifically, it was an opportunity to rethink what it means to be a leader in our hyper-connected, ambiguous, and shape-shifting environment. And it started with 3 simple questions.
Article
09/25/2020
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