
Martin Saveski
@msaveski
Assistant Professor @ UW iSchool; Ex Stanford & MIT. Interested in computational social science, social networks & causal inference.
ID: 14702110
http://martinsaveski.com 08-05-2008 16:15:28
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I’m on the academic job market! I’ll have a PhD from Stanford University CS in 2024. My research develops ML + network science methods to tackle complex societal challenges, from pandemics to polarization to supply chains. See my website + research statement for details! Highlights below:



Can we design AI systems to consider democratic values as their objective functions? Our new #CSCW24 paper w/ Michelle Lam, Minh Chau Mai, jeff hancock, Michael Bernstein introduces a method for translating social science constructs into social media AIs arxiv.org/abs/2307.13912 (1/12)


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 Johan Ugander. faculty.washington.edu/msaveski/asset…

I am recruiting PhD students! If you are interested in working on studying misinformation, hate speech and political polarization with a focus in non WEIRD contexts, please consider applying and mention my name. The deadline for our department Rutgers Football is January 5.

What unifies, and what distinguishes, social media designs? Are all the Twitter spinoffs actually meaningfully different designs from each other? Form-From is a design space from Amy Zhang, myself, David Karger (hci.social/@karger), and Mark Ackerman that will appear at #cscw2024 arxiv.org/abs/2402.05388


It is a beautiful day here at University of Washington! The cherry blossoms are full bloom!


WATCH: Stanford University postdoc Kristina Gligorić aims to bridge the gaps between AI and the social sciences through the Stanford HAI student affinity group. Discover how Stanford University students can build thriving, human-centered AI research communities: hai.stanford.edu/research/stude…

🚨🚨🚨 VERY excited to share our new paper on how AI can facilitate democratic deliberation, published today in Science Magazine! Together with MH Tessler 🇺🇦, summerfieldlab @summerfieldlab.bsky.social, and other amazing collaborators at Google DeepMind we've been building the "Habermas Machine"

[Please RT] I’m recruiting PhD students to work with me at University of Washington! I’m looking for students passionate about developing new *social media algorithms*, both broadly and within the scope of this NSF grant: tinyurl.com/395yfphd More info: faculty.washington.edu/msaveski/ University of Washington / @UW_iSchool
![Martin Saveski (@msaveski) on Twitter photo [Please RT]
I’m recruiting PhD students to work with me at <a href="/UW/">University of Washington</a>!
I’m looking for students passionate about developing new *social media algorithms*, both broadly and within the scope of this NSF grant: tinyurl.com/395yfphd
More info: faculty.washington.edu/msaveski/
<a href="/UW/">University of Washington</a> / @UW_iSchool [Please RT]
I’m recruiting PhD students to work with me at <a href="/UW/">University of Washington</a>!
I’m looking for students passionate about developing new *social media algorithms*, both broadly and within the scope of this NSF grant: tinyurl.com/395yfphd
More info: faculty.washington.edu/msaveski/
<a href="/UW/">University of Washington</a> / @UW_iSchool](https://pbs.twimg.com/media/GcQOJzxaAAEObfA.jpg)

Academic job market post! 👀 I’m a CS Postdoc at Stanford in the Stanford Human-Computer Interaction Group group. I develop ways to improve the online information ecosystem, by designing better social media feeds & improving Wikipedia. I work on AI, Social Computing, and HCI. piccardi.me 🧵


I am very excited about this work and all the future directions it opens up. Soham De did an incredible job leading the project, and it was a lot fun to work with Michiel Bakker and Jay Baxter on this!

Watch out! My PhD student Galen Weld (@ CSCW 2024) Allen School is on the faculty job market this year! His research makes online communities better through a deeper understanding community members' values, web scale analyses, and novel sociotechnical systems. See galenweld.com/research for more.
