Lightnews — Scholar-powered news

Reposted by Andrea Titton

John Holbein @johnholbein1.bsky.social · Aug 18

Climate models since the 1970s nailed it—most predicted global warming almost exactly as it happened.

41 630 1.4K

Andrea Titton @nofishlikeian.bsky.social · Aug 14

If you are at #CCN2025, check this out.

Philippa Johnson @phil-johnson.bsky.social · Aug 14

Interested in finding out what causes you to disengage from a task? Catch my talk about the dynamics of arousal and engagement at #CCN2025 @cogcompneuro.bsky.social today at 11! You'll find me in room C1.04, and Friday afternoon at poster C168.

1

Reposted by Andrea Titton

Jess Thompson @tsonj.bsky.social · Jul 4

Are you planning to attend #CCN2025? Do you want to reflect on how to direct your skills and aptitudes to tackle today's most pressing social problems? Make sure you come to Amsterdam a day early to attend our satellite event on Science for Social Good. Register here: forms.gle/TFRCZYX2qfwD...

CCN for social good - satellite registration

See https://anneurai.net/2025/05/05/ccn-for-social-good-2025-satellite-event/ for more information

forms.gle

2 13 18

Reposted by Andrea Titton

Kingfisher & Wombat @tkingfisher.com · Jul 26

There’s a famous chart from the Conservation Research Institute, which demonstrates this. GAZE UPON THESE ROOTS, YE MIGHTY AND DESPAIR.

A chart showing bigass roots on a whole bunch of plants.

22 210 1.3K

Reposted by Andrea Titton

Markus Rieger-Fels @riegerfels.bsky.social · Jul 22

Heading to the AOM Meeting in Copenhagen? Interested in Climate Risks, Risk Perception, and Risk Management in the Supply Chain? Stop by my poster presentation on “Value Chain Dependencies and Climate Risks in the Value Chain”. @ifmbonn.bsky.social #AOM2025 #ClimateRisk #RiskPerception #EconSky

1 2 2

Reposted by Andrea Titton

VoxEU @ CEPR @voxeu.org · Jun 25

#EU manufacturing broadly outperforms the rest of the world in #productivity terms, but the industries in which it specialises are not always those in which it is relatively more productive. Policy should target weak #trade sectors.
F Di Mauro, M Matani, G Ottaviano
cepr.org/voxeu/column...
#EconSky

Chart showing the EU vs US: Relative state of technology by sector. The EU leads the US technologically in food products and wearing apparel.

Amid geopolitical shocks, the EU is revisiting its industrial strategy. However, traditional metrics often paint a misleading picture of Europe’s underlying strength. This column uses a new approach to measure the EU’s relative state of technology in different sectors. It shows that although EU manufacturing broadly outperforms the rest of the world in productivity terms, the industries in which it specialises are not always those in which it is relatively more productive. It argues that industrial policy must be rooted in productivity diagnostics and support should target sectors with strong relative state of technology but weak trade performance.

6 9

Reposted by Andrea Titton

Pseudoerasmus @pseudoerasmus.bsky.social · Jun 9

The Nievas-Piketty unequal exchange paper is certainly better than Hickel's, but their counterfactual assertion of convergence between countries in 1800-2025 is based on these entirely political-economy-free assumptions

4 3 23

Reposted by Andrea Titton

Gabriel Peyré @gabrielpeyre.bsky.social · May 13

I have cleaned a bit my lecture notes on Optimal Transport for Machine Learners arxiv.org/abs/2505.06589

Optimal Transport for Machine Learners

Optimal Transport is a foundational mathematical theory that connects optimization, partial differential equations, and probability. It offers a powerful framework for comparing probability distributi...

arxiv.org

29 120

Reposted by Andrea Titton

Ben Moll @benmoll.bsky.social · Feb 17

I couldn't agree more!

The excessive focus on linearized solutions to HA models is a bit like the old joke about the drunk who is looking for a key under a lamppost because that's where the light is.

More discussion of why we need non-linear models and ways forward here benjaminmoll.com/challenge/

1 8 47

Reposted by Andrea Titton

Georg Zachmann @gzachmann.bsky.social · Feb 12

[email protected] and my Policy Brief:
"Upgrading Europe's electricity grid is about more than just money" has just been published.

www.bruegel.org/policy-brief...

2 10 17

Reposted by Andrea Titton

Ben Golub @bengolub.bsky.social · Feb 2

As @shengwuli.bsky.social always says, when you notice the network theorists getting really excited, you're probably in for a bad time.

Ben Golub @bengolub.bsky.social · Feb 2

Modern supply chains don't look like trade theory 101!

They involve constant border crossings, each now hit by tariffs.

Tariffs raise prices, but the more important thing they do is disrupt supply relationships.

1/

2 11 60

Andrea Titton @nofishlikeian.bsky.social · Jan 3

What are you basing this off?

Here (www.sciencedirect.com/science/arti...) they found a reduction in flights from carbon pricing.

Pricing carbon in the aviation sector: Evidence from the European emissions trading system

A policy change in the European Union's Emissions Trading Scheme (EU ETS) provides us with a unique opportunity to measure the impact of carbon pricin…

www.sciencedirect.com

1 5

Andrea Titton @nofishlikeian.bsky.social · Dec 16

Perfect timing: I just finished watching the Michael Penn series on differential forms. It makes me want to dig back into differential geometry.

Andrea Titton @nofishlikeian.bsky.social · Dec 11

If I have time and get around to it, I will try and turn this code into a proper package for the #JuliaLang, contributing to the "bottom left quadrant" of dynamic optimization problem, as discussed here by Albert Zevelev (not on Bluesky yet?) here:

Solving the 4 quadrants of dynamic optimization problems in Julia. Help Wanted!

Solving dynamic optimization problems is at the heart of economics (and many other fields). The goal of this post is to explore various tools for solving dynamic optimization problems in the Julia Ec...

discourse.julialang.org

1 4

Andrea Titton @nofishlikeian.bsky.social · Dec 11

You can also find a preliminary implementation of the same idea for differential games (Kushner, 2007) in the repository, which I will be using in a future paper that studies climate agreements in the presence of tipping points. 🏓

Numerical Approximations for Nonzero-Sum Stochastic Differential Games | SIAM Journal on Control and Optimization

The Markov chain approximation method is a widely used and efficient family of methods for the numerical solution of many types of stochastic control problems in continuous time for reflected-jump-dif...

doi.org

1 5

Andrea Titton @nofishlikeian.bsky.social · Dec 11

In the paper's Appendix, I prove the algorithm's convergence for Epstein-Zin recursive preferences.

I also leverage the excellent implementation of the ZigZag algorithm by ZigZagBoomerang.jl to parallelise everything and run it on the Snellius supercomputer. 🚀

1 1

Andrea Titton @nofishlikeian.bsky.social · Dec 11

This approach makes your algorithm focus on where it really matters (around the tipping point), rather than wasting time computing policies at boring steady states.

1 1

Andrea Titton @nofishlikeian.bsky.social · Dec 11

To solve this in a reasonable time, I take an old and relatively straightforward idea from one of my favourite books, Kushner & Dupouis, from 2001.

Just take time steps that get shorter and shorter around the tipping point! Now your time discretisation is state and control dependent.

Numerical Methods for Stochastic Control Problems in Continuous Time

The book presents a comprehensive development of effective numerical methods for stochastic control problems in continuous time. The process models are diffusions, jump-diffusions or reflected diffusi...

books.google.nl

1 2

Andrea Titton @nofishlikeian.bsky.social · Dec 11

In the paper, I compute optimal emissions abatement in a climate with tipping points.

As you approach the tipping point, computing optimal emission abatements can be challenging, as you should tread carefully: small mistakes can lead to abrupt and dire consequences! 📿

1 1

Andrea Titton @nofishlikeian.bsky.social · Dec 11

The code from my #JMP is now available here: github.com/NoFishLikeIan/carbon-tipping-point

#EconSky: if you are interested in stochastic optimal control problems, #JuliaLang or the climate, read further! 🧵

2 3 16

Reposted by Andrea Titton

Kevin Zollman @kevinzollman.com · Dec 2

A while ago Alex London and I noticed that many of the objections to utilitarianism depend on a utilitarian being in a world of non-utilitarians.

There would be no forced organ harvesting in a world of utilitarians. People would line up to volunteer.

...

11 4 30

Reposted by Andrea Titton

λ³🎲 @cubiclogic.bsky.social · Nov 26

This inequality says that if y=φ(x) is a continuous, strictly increasing function of x, for x≥0, with φ(0)=0 then (note φ^{-1}(y) is the function inverse) 2/

1 1 3

Reposted by Andrea Titton

Jonas Latz @latzplacian.bsky.social · Nov 22

Discretisation memes! 😊

1 2 6

Andrea Titton @nofishlikeian.bsky.social · Nov 20

Nice, good timing then! Always happy to talk about it.

1

Andrea Titton @nofishlikeian.bsky.social · Nov 20

Since a few more people decided to follow me in the last week (👋 and 🙏), let me re-up my #EconJMP, maybe using the right hashtag this time! #EconSky

If you are interested in climate economics and tipping points, check it out:

bsky.app/profile/nofi...

Andrea Titton @nofishlikeian.bsky.social · Nov 13

Economics hasn’t fully internalized how difficult climate tipping points are to both predict and reverse. My JMP 🚨 estimates the costs of this unpredictability and irreversibility.

A thread! 🧵 (1/14)
#econjobmarket #econjmp #econtwitter #climate

1 3 13