Marco Pangallo
@mrcpangallo
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Economics, complex systems, networks, data science. Senior researcher at @CentaiInstitute
Torino, Italy
Joined November 2014
Equations vs. maps: complexity, equilibrium, disequilibrium What does “equilibrium” mean in economics? Why is complexity often associated with disequilibrium? I address these in a book chapter, prepared for the forthcoming “The Economy As An Evolving Complex System: Part IV” 1/7
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New preprint: Population synthesis with geographic coordinates 🌍 We introduce a method to generate synthetic populations with explicit lat/long coordinates. Using Normalizing Flows + VAEs, we capture spatial + non-spatial correlations between samples and features. 1/3
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We are hiring! Three postdoc positions for economic historians, historians of science and technology, and/or historians of knowledge. More info below:
🚨 3 Postdoctoral positions within the project ‘Working Knowledge: the Emergence of Practitioners in Late Medieval and Early Modern Europe’ 📍@ScuolaSantAnna Duration: 2 years Deadline: 28/08/25, h 12:00 More info⬇️ https://t.co/NuDKRlAQ8l
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The call for paper for the 4th Agent-Based Modelling for Policy (ABM4Policy) workshop is finally out! The workshop is co-organized with the European Central Bank. Deadline for paper submissions: April 9th. https://t.co/QPkgPmtv3t
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Preprint Alert!🔊 Floods do not sink prices, historical memory does: How flood risk impacts the Italian housing market☔️ https://t.co/JELkHIMn36 Thanks to all coauthors, especially @mrcpangallo @Lorenzo89350671 and Anna Bellaver.
arxiv.org
Do home prices incorporate flood risk in the immediate aftermath of specific flood events, or is it the repeated exposure over the years that plays a more significant role? We address this...
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Hiring a postdoc in higher-order social dynamics: we will be doing models AND experiments (!) 36k/year renewable up to 3 yrs. In Barcelona, of course ;) Please RT! https://t.co/7ydNNA60d9
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There's lots of chat about how AI could help public services be delivered more efficiently right now—& I've got a new pre-print out looking at part of this: how data science can help policymakers cut through complexity & deliver better services! 🧵 #AI #datascience #econtwitter
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Excited to be one of the #MSCA awardees! I'll continue my work at @CentaiInstitute in Turin with @NPLab_ and @lordgrilo with new collaborations with @nerv_lab and @F_DeVicoFallani on neuroscience & higher-order interactions. Grateful to everyone who supported me along the way!
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Please get in touch with us if you are thinking about a PhD or postdoc and are interested in these topics. Apply at 𝘗𝘰𝘴𝘵𝘥𝘰𝘤 -> https://t.co/XHzu3Wa2Ql 𝘗𝘩𝘋 -> https://t.co/jiIgDh3BQe 8/8
lnkd.in
This link will take you to a page that’s not on LinkedIn
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Finally, we will (i) model the impact of specific floods, such as the September 2024 "Storm Boris" floods, and (ii) test policy mixes that take advantage of the joint focus on household heterogeneity and supply chain resilience. 7/8
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We will also do substantial data work, that could be interesting by itself. More specifically, we will build spatially-explicit synthetic populations; reconstruct production networks across firms; use catastrophe modeling to estimate physical risks of floods across space. 6/8
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We will also look at impacts on small firms through improving modeling of transportation, pricing and input substitutability, taking into account the characteristics of households that work within these firms. 5/8
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For instance, we will consider the contributions to production of workers with different skills, so that we can evaluate the effects of disaster-driven displacement -- a key impact on well-being -- across the household distribution and on the economy as a whole. 4/8
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We will improve the realism of these models to better understand the impacts on individuals, households and firms at a more detailed level. 3/8
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We will start from our agent-based models on the economic impact of the Covid-19 pandemic ( https://t.co/xtyi1hPKem,
https://t.co/RUvlNPuBuU), and adapt them to focus on natural disasters, mostly floods. 2/8
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DISADIST-ABM: 📢Open positions With @AnToniPichler and @RMaria_drc, we got a grant to model the well-being impacts of natural disasters beyond standard economic measures. We are looking for a 3-year PhD student and 2-year postdoc, deadline 15/01. More info 👇 1/8
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Do join this conference, highly recommended!
📢📢Check this out! Multi-Agent Data-driven Modelling in Economics Conference, 29-30/05/2025, at @CaFoscari in #Venice The CALL IS OPEN. Submissions deadline: January 31st, 2025!📢📢 https://t.co/U0bX4pOnfn
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Looking forward to being there!
Impressed by the *Symposium on Empirically-calibrated Agent-based Models for Mechanism-based Research* organized by @mrnkzr @Lucas_sage1 @selcanmutgan @arvidmartin at the Toulouse School of Economics 👏👏 I am honored to be part of it & looking forward to it 🙏
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How to tackle the robust-yet-fragile nature of financial networks? A new paper with @AndreaRoventini @mnapoletano1 and Mattia Guerini, just published in the JFS, address these questions. Want to know more? Paper here 👉 https://t.co/vaWZjb78ag and a thread below 👇.
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It is my only solo paper, from the last chapter of my PhD thesis. Happy to publish it in the JEBO special issue on complexity economics that I’m co-editing (all editor papers went through the editor-in-chief of the journal to avoid conflicts of interest).
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This is not the first paper having this idea, but it is the first that quantitatively tests the synchronization hypothesis. It also provides an eigenvalue-eigenvector decomposition that helps understand how synchronization and shocks interact through the trade network.
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