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PhD Episode III: The Rise of Engineering Advice

By laurent.liote.19, on 10 October 2022

Laurent Liote is a fourth year PhD student at UCL STEaPP. Follow him on LinkedIn (Laurent Liote), Twitter (@LaurentLiote) or ping him an email (laurent.liote.19@ucl.ac.uk).

Hi there, yes, it’s still me… and yes, I’m still working on my PhD! It’s been a few months since the last update so I figured I’d let you all know that, as promised, I’m working on the final part of my PhD trilogy (Episodes I and II can be found here and here, respectively). The overarching story arch, if you’ve missed the two previous instalments, is about understanding how engineering advice is deployed in energy policy practice. This post picks up where we left off, outlining what I’ve been up to since January and where I’m going next.

PhD Episode Three image in the style of Star Wars

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PhD Episode II: The Return of Ethnographic Methods

By laurent.liote.19, on 16 December 2021

Hi there, it’s been a while! I guess I’ve made some progress since the last time I wrote a post like this one. Rest assured the aim of my PhD has not changed, I’m still focused on understanding how engineering advice and related modelling insights are deployed in energy policy practice (the origin story can be found here). This post is about the initial work I’ve done to answer this question and where I’m going next.

In a UK government department not so far away…

So, what have I been up to in the last year then? Well, I did an initial case study with an engineering advice team within the UK government that provides advice on energy policy questions to the rest of their department. I interviewed engineers and policy advisors working together to gain insight into ‘the engineering-policy interface’ (a fancy way of saying ‘how engineers and policy advisors interact’). I turned the themes that emerged from the interviews into academic database search terms which returned four different strands of literature: science advice, engineering and philosophy, expertise in policy and models as boundary objects. I carried out a review of these fields and compared the literature’s conclusions against my findings, I call that ‘PhD Episode I’.

And what did I make of Episode I then? Like a first episode in what I hope to be a trilogy, it was interesting, set up the characters and storyline nicely but left quite a few questions unanswered. From what I saw, most of the engineering advice consisted of explaining a technology in layman’s terms to policy analysts, answering a question by providing a summary/diagram or designing/running a model. But that’s just scratching the surface and several findings warrant further investigation, constituting the basis for my second case study: Episode II.

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Understanding Engineering Advice in Policy Practice

By laurent.liote.19, on 20 August 2020

Laurent Liote is a first year PhD student at UCL STEaPP. He is also a member of the 21st Century Decision Making research unit. Follow him on LinkedIn (Laurent Liote) and twitter (@LaurentLiote).

“So, what’s your PhD on again?”

What is the worst question you can ask a PhD student? You guessed it, the classic “so what’s your topic then?”. I generally mumble academic buzzwords for three minutes before looking at my confused interlocutor and concluding: “Huh, basically political science”. So, this post is my attempt at clearly explaining what my research is about, and by extension what the next three years of my life will look like.

My research interest was sparked by something I read in the 2018 National Infrastructure Commission report (yes, I read those for fun): “policy design [is to be] embedded into the engineering-driven culture of infrastructure planning”. This raises several questions, what is an engineering-driven culture and what does that mean for engineering expertise in the policy process? More digging revealed that very little research had been done on engineering advice for policy; no one had systematically looked at why interactions between engineering experts and other policy officials happen the way they do and what that means for the policy process.

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