| Date | Podcast | Episode |
|---|---|---|
| 23 April 2026 | Value Driven Data Science | How giving away your work for free can build your authority as a data scientist |
| 16 April 2026 | Value Driven Data Science | Why traditional statistics still matters in the age of AI |
| 26 May 2023 | Forecasting Impact | Forecasting software panel |
| 14 March 2022 | Faculty.net | Forecasting in social settings |
| 17 November 2021 | The Random Sample | Software as a first class research output |
| 24 May 2021 | Data Skeptic | Forecasting principles and practice |
| 12 April 2021 | Seriously Social | Forecasting the future: the science of prediction |
| 6 February 2021 | Forecasting Impact | Rob Hyndman |
| 19 July 2020 | The Curious Quant | Forecasting COVID, time series, and why causality doesnt matter as much as you think |
| 27 May 2020 | The Random Sample | Forecasting the future & the future of forecasting |
| 9 October 2019 | Thought Capital | Forecasts are always wrong (but we need them anyway) |
Podcasts
I’ve been interviewed for several podcasts over the last few years. It’s always fun to talk about my work, and I hope there are enough differences between them to make it interesting for listeners. Here is a full list of them.
Updated: 23 April 2026