Yara Kyrychenko

I’m a PhD Candidate and Gates Scholar at the Cambridge Social Decision-Making Lab, advised by Sander van der Linden and Jon Roozenbeek. I combine psychological theory with data and behavioral science methods to study how we can make human-technology interactions more constructive.

I am part of the Alan Turing Institute’s Enrichment Scheme, focusing on the social evaluation of large language models. I completed a research internship with Nokia Bell Labs Responsible AI team, working on Constitutional AI.

I also co-organize the Cambridge Social Psychology Seminar Series and co-manage the CSDM Lab with Miriam Remshard.

more about me

I graduated with a double major in Mathematics (Honors) and Psychology from New York University, where I was an associate research scientist at Tessa West and Jay Van Bavel’s labs using data science techniques to study group processes. I was also a research assistant at Cornell Citizens and Technology and MIT Teaching Systems labs, working primarily with Nathan Matias.

I’m passionate about advancing and supporting women in science and technology. I write about data science, education, and life on Medium. I grew up in Kyiv, Ukraine, and my native languages are Ukrainian and Russian.

news

Feb 27, 2025	I spoke at the Bennet Institute for Innovation and Policy Acceleration Launch Event on a panel on How do we control AI for good?
Jan 31, 2025	Jon Roozenbeek and I hosted an interactive workshop & discussion on misinformation resilience at the British Academy LATE: The Age of Mistrust?
Jun 24, 2023	Test your misinformation susceptibility here: yourmist.streamlit.app (It only takes 2 minutes!).

selected publications

Generative language models exhibit social identity biases

Tiancheng Hu^*, Yara Kyrychenko^*, Steve Rathje, Nigel Collier, Sander van der Linden, and 1 more author

Nature Computational Science, 2025

DOI Bib

@article{hu2025generative,
  title = {Generative language models exhibit social identity biases},
  author = {Hu, Tiancheng and Kyrychenko, Yara and Rathje, Steve and Collier, Nigel and {van der Linden}, Sander and Roozenbeek, Jon},
  journal = {Nature Computational Science},
  volume = {5},
  number = {1},
  pages = {65--75},
  year = {2025},
  doi = {10.1038/s43588-024-00741-1},
  publisher = {Nature Publishing Group}
}

Social identity correlates of social media engagement before and after the 2022 Russian invasion of Ukraine

Yara Kyrychenko, Tymofii Brik, Sander van der Linden, and Jon Roozenbeek

Nature Communications, 2024

DOI Bib

@article{kyrychenko2024social,
  title = {Social identity correlates of social media engagement before and after the 2022 Russian invasion of Ukraine},
  author = {Kyrychenko, Yara and Brik, Tymofii and {van der Linden}, Sander and Roozenbeek, Jon},
  journal = {Nature Communications},
  volume = {15},
  number = {1},
  pages = {8127},
  year = {2024},
  doi = {10.1038/s41467-024-52179-8},
  publisher = {Nature Publishing Group UK London}
}

C3AI: Crafting and Evaluating Constitutions for Constitutional AI

Yara Kyrychenko, Ke Zhou, Edyta Bogucka, and Daniele Quercia

In Proceedings of the ACM Web Conference 2025, Sydney, NSW, Australia, 2025

arXiv Bib

@inproceedings{kyrychenko2024c3ai,
  title = {C3AI: Crafting and Evaluating Constitutions for Constitutional AI},
  author = {Kyrychenko, Yara and Zhou, Ke and Bogucka, Edyta and Quercia, Daniele},
  booktitle = {Proceedings of the ACM Web Conference 2025},
  year = {2025},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  location = {Sydney, NSW, Australia},
  series = {WWW '25},
}