A few months ago IDEO published an article about designing for resilience and using technology can be leveraged to make services more intelligent and empathetic. Which got me thinking (yet again…) How do you actually do this?
How do you back up anecdotes or interviews with hard data? and what are the most commonly used algorithms, platforms and tools that data scientists, designers, and social entrepreneurs are using?
Kuja Kuja is one product that has made significant impact in Africa – the world’s first real-time customer feedback platform for refugee environments, I’d read about the development of this before and it’s a great example of how a successful platform co-designed and built for one particular organisation can become a tool help communities throughout the continent.
So one of my goals for this week is to…
Find as many examples of data science projects that have a significant level of co-design involved, whether that be for the social sector, for government, for research, the tech industry, or business; and try and identify the common tools, technologies, algorithms that underpin each one.