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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.
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About
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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.
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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.
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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.
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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 .
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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!
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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?
Antonio Rago, Fabrizio Russo, Emanuele Albini, Pietro Baroni, Francesca Toni, "Forging Argumentative Explanations from Causal Models." In 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, 2021.
Fabrizio Russo, Francesca Toni, "Causal Discovery and Injection for Feed-Forward Neural Networks." CoRR, 2022.
Fabrizio Russo, "Argumentation for Interactive Causal Discovery." In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China, 2023.
Fabrizio Russo, Francesca Toni, "Causal Discovery and Knowledge Injection for Contestable Neural Networks." In ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Krak'ow, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023), 2023.
Antonio Rago, Fabrizio Russo, Emanuele Albini, Francesca Toni, Pietro Baroni, "Explaining Classifiers' Outputs with Causal Models and Argumentation." FLAP, 2023.
Fabrizio Russo, Francesca Toni, "Shapley-PC: Constraint-based Causal Structure Learning with Shapley Values." CoRR, 2023.
Fabrizio Russo, Anna Rapberger, Francesca Toni, "Argumentative Causal Discovery." In Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, KR 2024, Hanoi, Vietnam. November 2-8, 2024, 2024.
Fabrizio Russo, Anna Rapberger, Francesca Toni, "Argumentative Causal Discovery." CoRR, 2024.
Francesco Leofante, Hamed Ayoobi, Adam Dejl, Gabriel Freedman, Deniz Gorur, Junqi Jiang, Guilherme Paulino-Passos, Antonio Rago, Anna Rapberger, Fabrizio Russo, Xiang Yin, Dekai Zhang, Francesca Toni, "Contestable AI Needs Computational Argumentation." In Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, KR 2024, Hanoi, Vietnam. November 2-8, 2024, 2024.
Lars Bengel, Lydia Blümel, Elfia Bezou-Vrakatseli, Federico Castagna, Giulia D'Agostino, Isabelle Kuhlmann, Jack Mumford, Daphne Odekerken, Fabrizio Russo, Stefan Sarkadi, Madeleine Waller, Andreas Xydis, "Online Handbook of Argumentation for AI: Volume 4." CoRR, 2024.
Fabrizio Russo, Francesca Toni, "Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework." In Proceedings of the 5th Conference on Causal Learning and Reasoning, CLeaR 2024, Lousanne, Switzerland. May 7-9, 2025 (Forthcoming), 2025.