Jane Gregory is a member of the Susan Bell Research Team, and our Quality Manager. She is also the Professional Standards Officer for AMSRS. In this article, she explains how AMSRS helps members like us keep up to date with the way we handle personal data. Here are some of the things we do:
‘Despite all the hype, machine learning is not a be-all and end-all solution. We still need social scientists if we are going to use machine learning to study social phenomena in a responsible and ethical manner.’
I came across this quote in an article in Communications of the ACM by machine learning specialist Hanna Wallach. The article is called ‘Computational Social Science ≠Computer Science+ Social Data’.
Remember the people
Qualitative research is all about understanding people. That’s why clients want us to conduct it. While it is easy to remember that at the ‘data collection’ stage, it can sometimes be forgotten that qualitative analysis should be about people too.
One of the challenges is that some of the methods researchers use for qualitative analysis seems to turn the fascinating insightful people who have participated in the research into a dry list of themes. Of course, identifying the themes that have emerged from the research is important, but the best research goes beyond just themes.
At Susan Bell Research our clients increasingly ask how secure our systems are. Can we encrypt data? Yes we can. Do we have a risk management policy? Yes we do. We are lucky that we have our own IT Security specialist 'on staff'. Les Bell, Adjunct Lecturer in Cryptography and Information Security at Macquarie University and member of the Optus Macquarie University Cyber Security Hub, has written this piece about how to protect ourselves from what is probably the biggest cyber security threat faced by small and medium enterprises in Australia: ransomware.
In 1997, I bought a book called 'Research on Judgement and Decision Making: currents, connections, and controversies' edited by Goldstein and Hogarth. It was here that I first came across Kahneman and Tversky and their work on such things as representativeness heuristic. I was hooked. I think my favourite piece was one on 'arguing with yourself', because it is something I do often!
I was working on insurance projects at the time, trying to figure out why some people saw risks, where everyone else saw opportunity. I used many of the insights I learned here with my clients, but did not make them public.
Twenty or more years later, I still find this whole field fascinating, but I am also frustrated.