
Sign up to save your podcasts
Or


Dr Erica Thompson is a Senior Policy Fellow in Ethics of Modelling and Simulation at the LSE Data Science Institute.
Using the trusty-ish weather forecast as a starting point, Erica highlights the gaps to be minded when applying models in real-life. Kimberly and Erica discuss the role of expert judgement and intuition, the orthodoxy of data-driven cultures, models as engines not cameras, and why exposing uncertainty improves decision-making. Erica illustrates why it is so easy to become overconfident in models. She shows how value judgements are embedded in every step of model development (and hidden in math), why chameleons and accountability don’t mix, and considerations for using model outputs to think or decide effectively. Looking forward, Erica foresees a future in which values rather than data drive decision-making.
A transcript of this episode can be found here.
By Kimberly Nevala, Strategic Advisor - SAS4.8
1919 ratings
Dr Erica Thompson is a Senior Policy Fellow in Ethics of Modelling and Simulation at the LSE Data Science Institute.
Using the trusty-ish weather forecast as a starting point, Erica highlights the gaps to be minded when applying models in real-life. Kimberly and Erica discuss the role of expert judgement and intuition, the orthodoxy of data-driven cultures, models as engines not cameras, and why exposing uncertainty improves decision-making. Erica illustrates why it is so easy to become overconfident in models. She shows how value judgements are embedded in every step of model development (and hidden in math), why chameleons and accountability don’t mix, and considerations for using model outputs to think or decide effectively. Looking forward, Erica foresees a future in which values rather than data drive decision-making.
A transcript of this episode can be found here.

90,820 Listeners

44,006 Listeners

32,175 Listeners

6,795 Listeners

30,811 Listeners

9,545 Listeners

87,370 Listeners

112,586 Listeners

7,219 Listeners

1,608 Listeners

5,531 Listeners

16,096 Listeners

2,310 Listeners

3,528 Listeners

1,424 Listeners