Martin Saveski Profile Banner
Martin Saveski Profile
Martin Saveski

@msaveski

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Assistant Professor @ UW iSchool; Ex Stanford & MIT. Interested in computational social science, social networks & causal inference.

Seattle, WA
Joined May 2008
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@msaveski
Martin Saveski
2 years
I’m thrilled to share that I will be joining the @UW_iSchool as an Assistant Professor in the Fall of 2023. I’m looking forward to getting to know my new colleagues and engaging with the stellar social data science community at @UW .
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@msaveski
Martin Saveski
2 years
[Please RT] I’m recruiting PhD students to start Fall’23 at @UW ! I’m looking for students passionate about using computational methods to study how social platforms can be reimagined to enable better conversations, bridge political divides, and reduce the spread of misinfo. >>
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@msaveski
Martin Saveski
7 months
[Please RT] I’m recruiting PhD students to work with me at @UW ! I’m looking for students passionate about using computational methods to study how social platforms can be reimagined to enable better conversations, bridge political divides, and reduce the spread of misinfo. >>>
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@msaveski
Martin Saveski
7 years
Excited to present our design for Detecting Network Effects in Randomized Experiments @CODEConference (Session: Network Structure)
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@msaveski
Martin Saveski
6 months
If you are at #NeurIPS2023 stop by poster # 925 in the morning session. I will be presenting our work on “Counterfactual Evaluation of Peer-Review Assignment Policies”, done with my extraordinary collaborators Steven Jecmen, Nihar Shah, and @jugander .
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@msaveski
Martin Saveski
2 years
I’m especially looking for students with a background and/or interest in social network analysis, machine learning, causal inference, or natural language processing. DM/email me with any questions. @UW @UW_iSchool
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@msaveski
Martin Saveski
7 months
I’m particularly interested in the role of algorithms in social platforms. I’m especially looking for students with a background and/or interest in Social Networks, Machine Learning, Causal Inference, or NLP. DM/email me with any questions. @UW / @UW_iSchool
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@msaveski
Martin Saveski
3 years
Thanks for the award @icwsm ! I'm happy to see that my reviews were useful and honored to contribute to the community.
@icwsm
ICWSM
3 years
Congratulations to all of the winners of our ICWSM-21 Best Reviewer Award 🎆🌠! Your contributions are essential to building our fantastic program! #ICWSM2021
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@msaveski
Martin Saveski
2 years
En route to @ICWSM ! Come check out our two papers on political polarization online (“Session 1: Polarization 1”.) First in-person conference since the pre-times. I’m very excited to catch up with old friends and meet new ones. Come say hi!
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@msaveski
Martin Saveski
6 years
If you are at #TheWebConf ( #www2018 ) today stop by the *Web and Society II* session to hear @ngillani1 talk about our paper “Me, My Echo Chamber, and I: Introspection on Social Media Polarization” (). We are truly honored to get an honorable mention for it.
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@msaveski
Martin Saveski
2 years
Being on the job market was stressful (ppl were right) but also (surprisingly) fun. It was a pleasure to interact with so many amazing people along the way. Huge thanks to my mentors and collaborators for their support, especially @jugander , @dkroy , @ladamic , and @deaneckles .
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@msaveski
Martin Saveski
6 years
Very excited to see my officemate's ( @CrashTheMod3 ) excellent work on the cover of Science! False news spread farther, faster, deeper, and more broadly than the truth news.
@ScienceMagazine
Science Magazine
6 years
How false news spreads, gut microbes that help and harm, and the long-term effects of climate change on fisheries in our newest issue:
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@msaveski
Martin Saveski
8 years
Demis Hassabis (DeepMind) @ MIT talking about General AI and AlphaGo.
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@msaveski
Martin Saveski
3 years
Today I learned that the easiest way to embed fonts in a PDF is just to open it MacOS Preview and save it. That’s it. Most conferences require that the camera-ready PDFs have all fonts embedded, but most plotting libraries (including ggplot) don't embed the fonts by default.
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@msaveski
Martin Saveski
6 years
Lately, I have been using Mac’s text-to-speech feature (cmd + Q) to “proof-read” my writing. It’s a great way to find semantic mistakes that are syntactically correct.
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@msaveski
Martin Saveski
4 years
My first attempt to make a Calder mobile.
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@msaveski
Martin Saveski
7 years
@seanjtaylor I went through this exercise recently while putting together a reading list for my general exam. Here is what I got:
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@msaveski
Martin Saveski
6 years
No more LaTeXit! It’s nice to be excited about updating software once in a while :)
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@msaveski
Martin Saveski
5 years
I find it hard to trust code that doesn’t follow the 80 column width rule (it doesn’t have to be 80, any width is fine as long as it's consistent). Not sure if it’s a good signal, but I think that it does say something about the coder’s attitude.
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@msaveski
Martin Saveski
6 years
Interesting blog post on balanced graph partitioning by @googleresearch : . I wish they compared their method with the restreaming techniques in -- reLDG always worked best for me; plus it's so easy to implement.
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@msaveski
Martin Saveski
7 years
NPR coverage of FlipFeed: our experiment on bursting social media bubbles.
@NPR
NPR
7 years
Analysts have blamed technology for creating an online echo chamber, but can technology also fix it?
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@msaveski
Martin Saveski
6 years
Yesterday this function (just 1 extra line) helped me reduce the computation time of an I/O intensive job from 8 to 1.5 hours! The cachetools & cacheout packages provide similar decorators for other caching strategies.
@jakevdp
Jake VanderPlas
6 years
One of my favorite Python 3 builtins is functools.lru_cache(): with a simple decorator, repeated function calls become O(1) table lookups.
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@msaveski
Martin Saveski
6 years
I really like this study by @lajello & @nicola_barbieri : it's an excellent example of using observational causal inference to study the effects of recommender systems. ()
@clauwa
Claudia Wagner
6 years
Really interesting AB test on tumblr to investigate the potential danger of recommender systems by @lajello #netsci2018
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@msaveski
Martin Saveski
3 years
@informor I can confirm this as someone who was on the other side, as an author, recently. I have never received such kind and constructive reviews before. It boosted my motivation to take the feedback into account and ultimately substantially improved the paper.
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@msaveski
Martin Saveski
7 years
I love this amazingly intuitive explanation of the friendship paradox
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@msaveski
Martin Saveski
7 years
One of my favorite papers in the last few years -- such a clever idea; now officially out, I still prefer the long arxiv version though.
@deaneckles
Dean Eckles
7 years
How can you test for spillovers from a treatment in a network? Final version of our paper now available in JASA @Susan_Athey
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@msaveski
Martin Saveski
9 years
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@msaveski
Martin Saveski
7 years
It was great to have @tim_cook visit our lab today!
@tim_cook
Tim Cook
7 years
So impressed by @MIT students & faculty who are finding new ways to tackle the world’s biggest challenges. Thanks for sharing your work!
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@msaveski
Martin Saveski
6 years
@roydanroy I love and hate that my advisor asks me this question every time I bring up internships. My answer is always similar: (1) I like to work with X’s data, (2) I can run large-scale exps I usually can’t in the lab, (3) I will meet new ppl and escape my lab’s idea echo chamber.
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@msaveski
Martin Saveski
5 years
Congrats!
@sinanaral
Sinan Aral
5 years
Excited to announce & welcome two amazing young faculty in @johnjhorton & @amaatouq to the IT Group @MITSloan ! They're leaders in their fields & will help us chart the future of IS & CSS research! Fantastic to call you both colleagues! Cc @erikbryn @twmalone @ewzucker @davidautor
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@msaveski
Martin Saveski
7 years
Great reflection on the 'demo-or-die' culture in the Media Lab. Everything is still as Boyd describes.
@zephoria
danah boyd
7 years
I left MIT's Media Lab 15 years ago. I learned an important skill there: "demo-or-die":
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@msaveski
Martin Saveski
6 years
Can't wait to read this!
@jugander
Johan Ugander
6 years
New work with @ajwchin & @deaneckles ! Ambitious recent field experiments have been testing the efficacy of targeting strategies in networks. To contrast strategies, "the first step" is to run a full network survey in 30-200 villages/schools. Hard work! /1
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@msaveski
Martin Saveski
7 years
Off to Halifax for #kdd2017 . Looking forward to seeing some of you there!
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@msaveski
Martin Saveski
7 years
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@msaveski
Martin Saveski
9 years
Why I worry experimental social science is headed in the wrong direction
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@msaveski
Martin Saveski
6 years
Really enjoyed reading Newman’s “Mixing patterns in networks” paper (). Every piece of it so elegant and well done. It’s also nice to see what networks researchers cared about back in 2003.
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@msaveski
Martin Saveski
3 years
@naz_andalibi I did several before and during my Ph.D., and all were excellent experiences. Three reasons stand out for me: (1) working with great ppl, (2) data access, (3) computing tools/infrastructure. /1
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@msaveski
Martin Saveski
2 years
@infoxiao @jmhessel Beautiful! I'm moving to Seattle next year, and I'm excited to experience these long days :). (I'm a bit worried about the short days in the winter, but hey ...)
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@msaveski
Martin Saveski
6 years
One of my favorite textbooks!
@MIT_CSAIL
MIT CSAIL
6 years
How you know you’re old: the “Introduction to Algorithms” book was published #otd nearly 30 years ago, in 1990. It’s sold half a million copies & is the world’s most cited CS text w/9K citations:
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@msaveski
Martin Saveski
3 years
@deaneckles @mjskay ’s R package ggdist has beautiful geoms for visualizing uncertainty:
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@msaveski
Martin Saveski
5 years
The art of presenting complex ideas in a simple way. This NYT piece on DNA testing does a great job at that. Analogy and visualization make the ideas so clear.
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@msaveski
Martin Saveski
6 years
@random_walker The key here is the difference between *descriptive norms* (what’s commonly done) and *injunctive norms* (perceptions of what is commonly approved or disapproved within the culture). Injunctive norms can eliminate the negative effects of descriptive norms:
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@msaveski
Martin Saveski
2 years
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@msaveski
Martin Saveski
7 years
Very cool IV analysis of peer-effects in running by @CNicolaides and @sinanaral
@CNicolaides
Christos Nicolaides
7 years
Social networks push runners to run further and faster than their friends --My new paper with @sinanaral
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@msaveski
Martin Saveski
5 years
@estebanmoro It’s a two-sided market, you following the account may significantly increase their likelihood to stay on twitter. I won’t be surprised if they prefer having an new engaged user at the cost of slightly degrading the experience of an already active one.
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@msaveski
Martin Saveski
4 years
@deaneckles @jamesheathers This is probably true not just for feature selection but also for hyper-parameter selection as well. I only recently learned about inner and outer CV. (Inner: you do CV to tune your HPs; outer you evaluate the model with the chosen HPs in the inner loop.) \1
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@msaveski
Martin Saveski
3 years
@dubeylicious Better yet: ”this seems like a good UROP project”
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@msaveski
Martin Saveski
2 years
@andradaolteanuu igraph + cairo (integrated with igraph) is my go-to for generating static network viz.
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@msaveski
Martin Saveski
5 years
@PaulJWright Thanks! I'm glad you found it useful. Jekyll is a great framework. I tried to design the site so that it's easy to add/edit without touching the html/css code.
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@msaveski
Martin Saveski
6 years
@roydanroy Also, flirting with the idea that academia is not the only good choice after grad school imo is very important. Even if a student really wants to go to academia having a plan B lifts off a lot of pressure in the already stressful environment of grad school.
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@msaveski
Martin Saveski
5 years
Excellent combination of machine learning and causal inference!
@_bletham_
Ben Letham
5 years
We just wrote a blog post about using multi-task Bayesian optimization to improve the News Feed ranking model: Paper preprint is also fresh on arxiv ()
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@msaveski
Martin Saveski
5 years
@KLdivergence Not to justify it but I think it reflects the natural tendency for people to focus on parts of the paper that fit their story and are not necessarily representative of the main takeaway of the paper.
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@msaveski
Martin Saveski
8 years
@natematias Here are two great papers: & . One on design, the other on analysis.
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@msaveski
Martin Saveski
8 years
@natematias cool! I would love to hear what are you up to
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@msaveski
Martin Saveski
3 years
@chris_bail @jcccf , @grammarnerd , and @BethanydeGant from FB have published a few excellent papers that answer some of the questions you pose above and I would imagine motivated the later experiments/deployment: &
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@msaveski
Martin Saveski
5 years
@jeremyzyang @danielrock @dhillon_p Me too! Lol. And that’s after stairing at the pics for 10s.
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@msaveski
Martin Saveski
4 years
@ryanjgallag Good idea. I also try to do a "tone correction" pass—reading it over and thinking "can I be nicer?" :)
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@msaveski
Martin Saveski
7 years
@natematias @FastCompany Cool! Congrats, Nathan!
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@msaveski
Martin Saveski
6 years
[Gist] We built a tool that allows Twitter users to explore the politically-active parts of their network and ran an RCT to test how it affects users’ (1) beliefs about their network, (2) political diversity of who they follow, and (3) political alignment of URLs they share.
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@msaveski
Martin Saveski
4 years
I learned many things at @kdd_news 2017. This was one of them.
@CAFinUS
Canadian Forces in 🇺🇸
4 years
This tree from Nova Scotia is now in Boston Common. The Nova Scotians send one every year. Why?
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@msaveski
Martin Saveski
2 years
@tanmit @infoxiao I had a similar problem. Rotating it every 30 secs or so helped.
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@msaveski
Martin Saveski
2 years
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@msaveski
Martin Saveski
4 years
@deaneckles @Twitter On the Metrics dropdown menu (top right) you select "Custom Metrics", then you have to select "Total audience reach" (under General).
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@msaveski
Martin Saveski
5 years
@johnjhorton It was really fun designing the AI agent! The same techniques were the core of deep blue. I had extra motivation since I did it for a class and we had a tournament at the end of the semester where we played each other's agents. It was limited time/move, so I had to optimize it :)
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@msaveski
Martin Saveski
4 years
@maria_antoniak Ha! I finally switched to VS code for everything except notebooks (still using Jupyter Lab), but this prompts me to give it a shot :)
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@msaveski
Martin Saveski
4 years
@rasbt This is very cool! Thanks for sharing it. I'm curious about your thoughts about the pros and cons of each (maybe you have lecture notes?). Or at least, what's your go-to?
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@msaveski
Martin Saveski
5 years
@johnjhorton Very cool! Looks much nicer than my Python2 version from 10 years ago :) []. Though, I have to say that I still feel proud of my search algorithm and evaluation function.
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@msaveski
Martin Saveski
7 years
@Noriega_Campero presenting their work on The Wisdom of the Network (cc @amaatouq )
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@msaveski
Martin Saveski
8 years
Sad news! Gonna miss @kimonolabs
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@msaveski
Martin Saveski
5 years
@bkeegan Gerber and green's field experiments is my favorite intro CI book. No observational CI ofc, but I think it's better to start with field experiments anyway.
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@msaveski
Martin Saveski
2 years
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@msaveski
Martin Saveski
4 years
@deaneckles @jamesheathers I get really worried about reproducibly when I read all these deep NN papers which only do train/val/test splits, no CV. \2
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@msaveski
Martin Saveski
7 years
Talks about the rejection of the Strength of the Weak Ties paper, summarizes the history of SNA & the impact of social nets on movements.
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@msaveski
Martin Saveski
5 years
@danielequercia @EdmondAwad I wanted to make an intro but I thought you guys already met. @EdmondAwad you should definitely talk to @danielequercia !
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@msaveski
Martin Saveski
6 months
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@msaveski
Martin Saveski
2 years
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@msaveski
Martin Saveski
5 years
@bkeegan @AOC very cool! does she tweet more often after the election?
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@msaveski
Martin Saveski
4 years
@Leesplez @reimthyme @Prolific Publishing the anonymization code is a great idea!
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@msaveski
Martin Saveski
3 years
@deaneckles Not face-to-face, but we did the Twitter version of this a few years ago:
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@msaveski
Martin Saveski
3 years
@naz_andalibi Also, psychologically, it was great to see that people do excellent research outside of academia and consider that as a possible career path. /2
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@msaveski
Martin Saveski
3 years
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@msaveski
Martin Saveski
7 years
@natematias @FastCompany @CODEConference Always a pleasure! Yes! I will be there both days, presenting on Saturday.
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