Studying the dynamics of social and economic networks @ubcVSE

United States
Joined March 2019
My intro notes for network analysis in economics are now on @QuantEcon #DataScience — a great set of open source resources for teaching computational skills to undergraduate economists 🧑‍💻 Click here to learn more about #eigenvalues! datascience.quantecon.org/ap…
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Phil (@pc_solimine) studies industrial organization and networks. His job market paper investigates firms' incentives to develop infrastructure in regulated energy transmission networks. Profile: psolimine.net
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good day to check out other platforms!
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The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning We explore RL agents that still work even when their observations get shuffled around a lot! A fun paper w/ @yujin_tang web attentionneuron.github.io/ pdf arxiv.org/abs/2109.02869
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The year is 2033. You open Google and type "how to survive heat wave." GPT-27 reads hundreds of articles on the subject, mostly written by GPTs 4 through 26 over the preceding years, and replies "As an AI language model I have no way of knowing if there is currently a heat wave."
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It’s very difficult to answer the question “will the SVB collapse cause cascading failures” without adequate data on interbank lending. I know because I wrote a whole paper about it!
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I have a new working paper with Co-Pierre George about software dependency graphs. It is a cool topic and this is our first exploration of it, so comments are very welcome at this stage. papers.ssrn.com/sol3/papers.…
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We have a great crop of upcoming job market candidates this year at FSU. coss.fsu.edu/economics/phd-p…
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New published article on pricing in networks where we study how network topology and market structure affect firms' prices. We find that denser networks reduce prices, whereas increased competition reduces prices only when competition is weak. sciencedirect.com/science/ar…
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We’re hard at work on a new way to make generative art, and are excited to share our first prototype! Create any scene you can imagine with a simple collage and a prompt. Try it out! collage.artbreeder.com/
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Happy to say that I officially became a doctor today! I am so grateful to all of my advisors and mentors @floridastate who have taught me so much in my time there, and especially to @lukeboosey for sitting through my defense at 5am.
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Plus, during my defense I got the official notification that my first chapter has been conditionally accepted at JEBO! What a day!
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This thread is a bit of an experiment: I'd like to try one of the results from the paper below as simply as possible. If you know a bit of linear algebra (what a matrix is, how to invert a matrix, what change-of-basis means), you're in the audience for this thread. 1/n
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Selection Bias xkcd.com/2618
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Our new paper covers: Neural nets on eigenvectors / eigenspaces, transformers on graphs, universal approximation of invariant functions, graph positional encodings, generalizing spectral graph neural networks, and more!! Thread about SignNet and BasisNet: 1/9
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Last but not least on @floridastate Graduate and Professional Student Appreciation Week, we have @pc_solimine! Philip is a Ph.D./M.S. Candidate in Economics and Scientific Computing. After graduation, Phillip will join @ubcVSE as a postdoctoral fellow. psolimine.net/
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From logical reasoning to mental simulation, recurrent neural networks (RNNs) possess an incredible capacity for computation. To fully harness this capacity, we developed a programming language for RNNs arxiv.org/abs/2203.05032. Here is a game of pong programmed inside of an RNN.
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It's official! I could not be more excited to announce that I'll be joining the University of British Columbia @ubcVSE as a postdoctoral fellow in the Center for Innovative Data in Economics Research.
We are excited to have @pc_solimine join the @ubcVSE as a postdoc for the upcoming year. We are lucky to have him!
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I am thrilled for the opportunity to work with such a fantastic group of scholars, who share my interest in developing the computational methods we use to study economic data.
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