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To avoid falling support for climate policies, and a shift to parties who won't support them - we unquestionably need to rebuild trust and build climate policies *with* the public π
@loisplayer
Behavioural Scientist | Climate Policy & Behaviour Change π | Novel Computational Methods - NLP & LLMs π©βπ» | Research Consultant | Currently Contracting at European Climate Foundation β¨ loisplayer.com
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To avoid falling support for climate policies, and a shift to parties who won't support them - we unquestionably need to rebuild trust and build climate policies *with* the public π
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The review even shows that when governments support workers, involve communities, and communicate clearly, the backlash fades and support grows.
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When people feel targeted by or left out of policies, they are more likely to back these politicians - who promise to roll them back.
Whatβs driving this isnβt climate denial, but *distrust* of the government to do what's best for people.
Climate policies are essential. But what if their design is alienating people? π½
A Nature review shows that climate policies seen as unfair are pushing voters toward right-wing populist parties - who frame climate action as elite, costly, and out of touch π
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www.nature.com/articles/s41...
Last week, I graduated from my PhD in Behavioural Science - marking the end of 8 years at beautiful Bath β¨
I was so grateful (& emotional) to graduate with my partner and lovely friends.
Thanks to my amazing supervisors, @lwhitmarsh.bsky.social @christinademski.bsky.social π€
Over & out, Bath π₯Ή
Huge thanks to my co-authors - Ryan Hughes, Kaloyan Mitev, @lwhitmarsh.bsky.social, @christinademski.bsky.social, Nick Nash, Tris Papakonstantinou, & Mark Wilson β a dream team of qual, quant, & ML expertise.
Thanks also to AAPS CDT- without whom Ryan and I would never have begun this project! π
The code is totally open-access - and we are building a user-friendly interface now! π©πΌβπ»
Want to participate in an early pilot or receive updates?
Sign up: tinyurl.com/DECOTAform
Even as a preprint, DECOTA drew significant interest from policymakers for its potential to:
β’ Provide rapid insights in time-sensitive situations
β’ Scale analysis to huge datasets that could not be analysed manually
β’ Support more interpretative qual work π
We tested DECOTA on 4 human-coded datasets. It identified:
β’ 92% of all human-coded sub-themes
β’ 90% of main themes
β¦in just 10 minutes and $0.82 per dataset π
DECOTA uses fine-tuned LLMs to analyse open-ended text data - with no human input needed.
Itβs a transparent 6 step process, that outputs:
- Themes & sub-themes in the data
- Their prevalence
- How they vary by demographic group
- Example quotes
DECOTA is here! π
Our automated free-text analysis tool is now published in Psychological Methods!
DECOTA automatically analyses free-text data quickly, affordably, and with human-like accuracy.
Paper: doi.org/10.1037/met0...
Press story: www.bath.ac.uk/announcement...
Iβm officially Dr Player! π₯Ή
It was an honour to defend my PhD last week with world-leading experts, Geertje Schuitema & Nathalia Gjersoe.
Big thanks to my wonderful supervisors, @lwhitmarsh.bsky.social & @christinademski.bsky.social, AAPS CDT, & countless loved ones for their unwavering support β¨
Can we build the #NetZero future the Climate Change Committee says is possible? π
Today @thecccuk.bsky.social published its latest advice to the Government in its #SeventhCarbonBudget report.
Read our CAST response: cast.ac.uk/building-a-n...
Key messages thread π§΅
So great to see the CCCβs 7th Carbon Budget published today.
It was a pleasure to contribute to this during my time in the wonderful People & Business team, & to see our @cast-centre.bsky.social work referenced π
Importantly: 1/3 of emissions reductions will come from household behaviour change π€―
The mad stampeed when they announce the platform π
Thanks Jake! Great to see these trends coming to the fore π
Very excited to have joined the European Climate Foundation as a Research Consultant! π
ECF is an NGO working across Europe to foster #ClimateAction, & Iβm looking forward to helping make sense of their public opinion data π
An exciting year ahead w/ this role - and lots of big travel plans! β¨
Thank you so much @masharemskar.bsky.social π₯Ή what a journey it was π€
Thanks so much Jake! βΊοΈ
Thank you so much Emma!
A huge thank you to my amazing supervisory team
@lwhitmarsh.bsky.social & @christinademski.bsky.social for your unfaltering support always - and many other incredible people along the way π
PhD thesis submitted! π₯Ή
3 incredible years β 2 secondments, 3 publications, 3 consultancy projects, 1 book chapter, and even the honour of advising governmental departments β all crystallised into 80,000 words.
From undergrad to PhD, I'm so grateful for 8 beautiful years @uniofbath.bsky.social β¨
Excited about the UK Govt's #AI Opportunities plan - a big step to drive positive, safe change w/ AI π
1. Fast-track data centre expansion
2. Unlock datasets to fuel research
3. Train 10,000s in AI by 2030
Fab to see Matt Clifford - who I was lucky to work w/ at Entrepreneur First - leading this!
Itβs getting windier, wetter, wilder, hotter, harsher, drier, and less predictable out there
And more expensive
Globally, climate damage to infrastructure, agriculture, health and economic productivity is set to cost $3.1 trillion/year by 2050
With a cascade of bad outcomesβ¬οΈ
π shorturl.at/rxFdX
My lovely colleagues at CAST are advertising 5 PhD funded places!
Couldn't think of a more wonderful team to do your PhD with β¨ π
Congrats to you both Emma! βΊοΈ
For all the bad news in 2024, there was lots of good too β¨
www.positive.news/society/what-went-right-in-2024-the-good-news-that-mattered/
EU emissions fell 8% π±
China's renewable boom β‘οΈ
New biodiversity laws πΊ
Species regeneration π¦¬
Flu vaccine progress π
15-min city adoption ποΈ
Happy New Year! π¦
Huge huge achievement & end of an incredible era π₯Ήπβ¨οΈ
Hey Yara! These are really cool findings & love the look of your work. I'm at Bath Uni just finishing my PhD & have used LLMs in context of understanding climate policy support. Your application looks v interesting & would love to chat sometime!
Very cool new #LLM study in @natureportfolio.bsky.social π’
LLMs, like humans, exhibit in-group favouritism & out-group degradation.
Both in the lab and in real human-LLM chats.
We *must* carefully curate training data to mitigate this bias π©βπ»
www.nature.com/articles/s43588-024-00741-1