Elena Zheleva
687 posts

Elena Zheleva
@elenadata
Prof @UICCS. Research: causal inference, machine learning, graph mining, data bias, privacy @EdgesLab. Prior @AAAS_STPF @VoxMedia data sci head @LivingSocial
Chicago, IL 加入时间 Temmuz 2015
391 关注1.2K 粉丝

Honored & humbled too that I get directly support health & wellness network leaders in Chicago with this award. Early findings & much more to come: kanetgeek.github.io/ChiHealthPONsW…
Teamwork makes the dream work :) @uicppma @MashalZe @ShuwenZhang11 and Networks & Gov Lab scholars!
UIC IPCE@UICIPCE
Please join us in extending a huge congratulations to our 2024-25 Civic Engagement Research Award recipients! Follow this link to learn more about these incredible scholars 👉🏽 ipce.uic.edu/news-stories/a… @uiclaw @UICCUPPA @UICLAS
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@murat_kocaoglu_ Oh, and I forgot, @ragib06 has made the code public if you want to try it out: github.com/edgeslab/nird-…
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Ian Foster from @argonne giving the opening keynote on Embodied Agents as Scientific Assistants @IDEAL_chicago Industry Day.

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Zahra Fatemi @Zara_ftm presenting our work w/ Jean Pouget-Abadie on cascade-based randomization as an alternative to cluster-based randomization in network experiment design to handle multi-hop interference @icwsm. PDF: arxiv.org/abs/2405.12340



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Diyi-Yang @Diyi_Yang delivering the Adamic-Glance Distinguished Young Researcher Award keynote on using LLMs for computational social science demonstrating that on many tasks fine-tuned smaller models are still better than LLMs @icwsm



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@manoelribeiro @TheWebConf Hi Manoel! Thank you for your interest in our paper. Our experiment design allowed for studying heterogeneous treatment effects rather than overall average effects. Are you @icwsm this week? Happy to chat more in person.
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This @TheWebConf paper finds that the impact of intergroup interactions on religious polarization in India is heterogeneous across events and religious groups.
Reading it, I wondered if a DiD methodology would suffice (and allow more sanity checks).
dl.acm.org/doi/10.1145/35…

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After a week @TheWebConf in Singapore where few of the people I know attended in person (likely due to its distance from the US), it's nice to see many familiar faces @icwsm in Buffalo, NY. Say 'hi' if you are also attending.
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@murat_kocaoglu_ @IDEAL_chicago Arvind Ramanathan @arvindr_ on Learning Useful Graph Representations for Drug Discovery @IDEAL_chicago

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Murat Kocaoglu @murat_kocaoglu_ on Causal Machine Learning: Fundamentals and Applications @IDEAL_chicago

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Bryan Perozzi @phanein kicking off the workshop on Graph Representation Learning connecting graphs to LLMs hosted by @IDEAL_chicago and @thisisUIC
ideal-institute.org/2024/01/31/org…


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If you are @TheWebConf, come say ‘hi’ at our Social track poster on "Bridging or Breaking: Impact of Intergroup Interactions on Religious Polarization"! w/ @RochanaC and @sugatchaturvedi

Sugat Chaturvedi@sugatchaturvedi
📢Exciting news! Our paper, "Bridging or Breaking: Impact of Intergroup Interactions on Religious Polarization", with @RochanaC and @elenadata is accepted for publication in Proceedings of the ACM Web Conference 2024 (WWW '24) @TheWebConf🧵1/6 🔗arxiv.org/abs/2402.11895
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Elena Zheleva 已转推

📢Exciting news! Our paper, "Bridging or Breaking: Impact of Intergroup Interactions on Religious Polarization", with @RochanaC and @elenadata is accepted for publication in Proceedings of the ACM Web Conference 2024 (WWW '24) @TheWebConf🧵1/6
🔗arxiv.org/abs/2402.11895

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Congratulations to Zahra Fatemi @Zara_ftm who successfully defended her PhD thesis on “Addressing interference and selection bias in causal inference from networks"! 👏🥳 Many thanks to the committee members, @msaveski, @ab_asudeh, Cornelia Caragea and Barbara Di Eugenio!

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