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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About
About
Posts
R Markdown, Jekyll, and Footnotes
Published:
I use jekyll to create my website. Jekyll converts Markdown files into the HTML that your browser renders into the pages you see. As others and I have written before, it’s pretty easy to use R Markdown to generate pages with R code and output all together. One thing has consistently eluded me, however: footnotes.
Working with Large Spatial Data in R
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In my research I frequently work with large datasets. Sometimes that means datasets that cover the entire globe, and other times it means working with lots of micro-level event data. Usually, my computer is powerful enough to load and manipulate all of the data in R without issue. When my computer’s fallen short of the task at hand, my solution has often been to throw it at a high performance computing cluster. However, I finally ran into a situation where the data proved too large even for that approach.
Jekyll and HTML Widgets
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I’m currently compiling a list of university-affiliated programs designed to help prepare students for graduate study in political science and assist them in the process of applying to graduate school (a labyrinthine and opaque process in many regards). Since travel costs can be a deciding factor for some students when deciding whether to apply to these programs, I thought it would be nice to also put them on a map.
Extracting UN Peacekeeping Data from PDF Files
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Some coauthors and I recently published a piece in the Monkey Cage on the recent military coup in Mali and the overthrow of president Ibrahim Boubacar Keïta. We examine what the ouster of Keïta means for the future of MINUSMA, the United Nations peacekeeping mission in Mali. One of my contributions that didn’t make the final cut was this plot of casualties to date among UN peacekeepers in the so-called big 5 peacekeeping missions .
Adding Content to an Academic Website
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One thing I haven’t covered in my previous posts on creating and customizing an academic website is how to actually add content to your site. You know, the stuff that’s the reason why people go to your website in the first place? If you’ve followed those guides, your website should be professional looking and already feeling a little bit different from the stock template. However, adding new pages or tweaking the existing pages can be a little intimidating, and I realized I should probably walk through how to do so. Luckily Jekyll’s use of Markdown makes it really easy to add new content!
Customizing an Academic Website
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This is a followup to my previous post on creating an academic website. If you’ve followed that guide, you should have a website that’s professional-looking and informative, but it’s probably lacking something to really make it feel like your own. There are an infinite number of ways you could customize the academicpages template (many of them far, far beyond my abilities) but I’m going to walk you through the process I used to start tweaking my website. The goal here isn’t to tell you how you should personalize your website, but to give you the tools to learn how to implement whatever changes you want to make.
Building an Academic Website
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If you’re an academic, you need a website. Obviously I agree with this since you’re reading this on my website, but if you don’t have one, you should get one. Most universities these days provide a free option, usually powered by WordPress (both WashU and UNC use WordPress for their respective offerings). While these sites are quick to set up and come with the prestige of a .edu URL, they have several drawbacks that have been extensively written on.
Visualizing Police Militarization
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Much has been written lately about the increasing militarization of US law enforcement. One of the most visible indicators of this shift in recent decades is the increased frequency of tactical gear and equipment worn and carried by police officers. However, this pales in comparison to images of police departments bringing armored vehicles to peaceful protests.
Counting Words in a Snap
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14 pt periods. 1.05” margins. 2.1 spaced lines. Times Newer Roman. I’ve seen them all, and I’m tired of trying to catch them. So, I’ve stopped assigning papers in terms of page length and switched to word counts. Unfortunately, counting words is more time-intensive than counting pages.
Better Beamer Presentations the Easy Way
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Everyone knows that Beamer makes frankly terrible presentations without a good deal of help. A well crafted Beamer presentation can be a thing of beauty, especially since you can use knitr or R Markdown to automatically generate tables and figures, but it takes a lot of work.
Checking Progress with Bash
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I’m currently cleaning and wrangling a large (> 2 billion observations) dataset. Due to its size, I’m running code in batch mode on a remote cluster. Not running interactively makes it harder for me to check on my code’s progress.
Fancy Icons and LaTeX Quirks
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I recently updated my CV to add my ORCiD identifier to it up top among the other places to find me online. An ORCiD is an online identifier that persists through any changes to your name, institution, or email address throughout your life.
Combining PDF Documents the Smarter Way
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My previous post on combining multiple PDF files had an important caveat that things would end up in the wrong order if you had files with leading ID numbers that started at 1 and ended at 12, you’d end up with PDFs combined in the order 1, 10, 11, 12, 2, 3, …, 9.
Combining PDF Documents
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How many times have you found that your institution has access to a digital version of a book you need only to discover that it comes in 15 different PDF files?
publications
(Talk) Credit Risk Modelling: Data and Techniques Used in the UK Banking Industry
F. Russo, "Credit Risk Modelling: Data and Techniques Used in the UK Banking Industry." THE USE OF CREDIT REGISTER DATA FOR FINANCIAL STABILITY PURPOSES AND CREDIT RISK ANALYSIS, Danmarks Nationalbank Conference, 2019.
(Talk) Risk Scorecards with Machine Learning
F. Russo, T. Ringsjø, D. Smith, J. Woodcock, T. Pile, L. Koteva, "Risk Scorecards with Machine Learning." Modelling with big data and machine learning: interpretability and model uncertainty, Joint Conference by the Bank of England and the Data Analytics for Finance and Macro Research Centre at King’s College London, 2019.
(Talk) Causal Injection into Neural Networks
F. Russo and F. Toni, 2021. "Causal Injection into Neural Networks." 1st International Workshop on Explainable AI in Finance (XAI-FIN) part of the 2021 ACM International Conference on AI in Finance (ICAIF).
Forging Argumentative Explanations from Causal Models
A. Rago, F. Russo, E. Albini, P. Baroni, F. Toni, 2021. "Forging Argumentative Explanations from Causal Models." Proceedings of the 5th Workshop on Advances in Argumentation in Artificial Intelligence 2021 co-located with the 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021). Milan, Italy, November 29th, 2021.
(Talk) From Credit Risk to Explainable AI Research
F. Russo, "From Credit Risk to Explainable AI Research." Guest Lecture for Master in Finthech - Politecnico di Milano at UCL, London, UK.
Causal Discovery and Injection for Feed-Forward Neural Networks
F. Russo and F. Toni, 2022. "Causal Discovery and Injection for Feed-Forward Neural Networks." Technical Report. arxiv.
(Talk) Argumentative Causal Discovery
Fabrizio Russo, "Argumentative Causal Discovery" , STAI Student Seminar Series, Imperial College London, UK.
Explaining Classifiers’ Outputs with Causal Models and Argumentation
A. Rago, F. Russo, E. Albini, P. Baroni, F. Toni, 2023. "Explaining Classifiers’ Outputs with Causal Models and Argumentation." Journal of Applied Logics — IfCoLog Journal of Logics and their Applications, Special Issue: Advances in Argumentgation in AI, Volume 10, Number 3: May, 2023.
Argumentation for Interactive Causal Discovery
Fabrizio Russo, 2023. "Argumentation for Interactive Causal Discovery" , in Proceedings of the 32nd International Joint Conference on Artificial Intelligence. Macao, China, August, 2023.
Causal Discovery and Knowledge Injection for Contestable Neural Networks
Russo, Fabrizio and Francesca Toni, 2023. "Causal Discovery and Knowledge Injection for Contestable Neural Networks." in Proceedings of the 26th European Conference on Artificial Intelligence ECAI 2023, Krakow, September, 2023
Shapley-PC: Constraint-based Causal Structure Learning with Shapley Values
F. Russo and F. Toni, 2023. "Shapley-PC: Constraint-based Causal Structure Learning with Shapley Values." Technical Report. arxiv.
