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Professor · Rutgers University

Katherine Ognyanova

I study how social ties, technology, and trust in institutions shape what people believe, how they evaluate information, and how they take part in civic and political life.

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My areas of expertise are both substantive (social influence, social technology, politics, news, misinformation, trust, AI use and attitudes) and methodological (network science, computational social science, survey research).

Email me at kateto@ognyanova.net

About

Katherine Ognyanova (Katya) is a researcher and educator exploring the structure of social and political processes in a digital age. She is a professor at the School of Communication and Information, Rutgers University. Her research examines the effects of social influence and technology on civic and political behavior, confidence in institutions, information evaluation, and public opinion formation. Her methodological expertise is in computational social science, network science, and survey research. Recently, her work has examined the association of misinformation exposure with trust in science, media, and politics. She is also investigating public perceptions and trust in artificial intelligence (AI).

Katherine is the director of the Rutgers Computational Social Science Lab. She is one of the founders and a principal investigator for the Civic Health and Institutions Project and the COVID States Project, two large multi-university initiatives exploring public attitudes to politics and health. Ognyanova is also a PI of the National AI Opinion Monitor, an initiative tracking public perceptions, knowledge, and trust in artificial intelligence technologies.

Ognyanova’s research has been supported by the National Science Foundation and the Russell Sage Foundation. Her work has been covered in news outlets including New York Times, NPR, Politico, Washington Post, and WIRED, among others (see media coverage). Her papers have appeared in leading communication journals such as the Journal of Communication and Communication Research, as well as high-profile interdisciplinary journals such as Nature and PNAS. She is also a faculty affiliate at the Shorenstein Center at Harvard University, as well as a member of the Standing Committee on Advancing Science Communication at the National Academies of Sciences, Engineering, and Medicine.

Prior to joining Rutgers, Katherine was a postdoctoral research fellow in computational social science at the Lazer Lab, Northeastern University and IQSS, Harvard University. She received her Ph.D. from the Annenberg School for Communication & Journalism, University of Southern California.

If you are trying to figure out how to pronounce “Ognyanova”, check out this post.

  • Portrait of Katherine Ognyanova
  • ProfessorSchool of Communication & Information
    Rutgers University
  • DirectorComputational Social Science Lab
  • Principal investigatorCivic Health and Institutions Project
    State of the Prompt
    National AI Opinion Monitor
    COVID States Project
  • Name
  • Contactkateto@ognyanova.net

Current projects

More on my research →
CHIP50

Civic Health and Institutions Project

A 50-state survey infrastructure tracking health, politics, trust, and public behavior. Over 900,000 responses across 35+ waves; winner of AAPOR's 2025 Mitofsky Innovators Award.

chip50.org →
NAIOM

National AI Opinion Monitor

Tracking public perceptions, knowledge, and trust in artificial intelligence, with oversamples of minority groups, youth, and older adults.

naiom.net →
SotP

State of the Prompt

A year of what people ask AI: 3.4 million ChatGPT conversations shared by an opt-in panel of U.S. adults, analyzed for what they asked, who asked, and when.

stateoftheprompt.net →
CSS Lab

Computational Social Science Lab

A hub where Rutgers faculty and students study human behavior with computational methods: networks, text, machine learning, algorithm audits, and large-scale surveys.

csslab.rutgers.edu →
Trust Tracker

CHIP50 Trust Tracker

How much Americans trust institutions and public figures, from Congress and the courts to scientists and the news media, by group and over time since 2020.

trust.chip50.org →

Research mentions in the news

All media coverage →

By the numbers

All publications →
77publications 100+co-authors 29workshops 41classes taught 1,900+students taught 76,000+networks analyzed 1.2M+survey responses

Tutorials & code

All tutorials →
Network visualization examples in R

Static and dynamic network visualization with R

A comprehensive tutorial: data formats, layouts, bipartite and multiplex graphs, interactive and animated networks, and networks on maps.

Computational social science diagram

Computational social science R code

Lecture code from my doctoral seminar: surveys, APIs, web scraping, networks, text analysis, and machine learning.

Network graphs drawn with igraph

Network analysis with R and igraph

A gentle introduction to R and igraph: generating networks, reading data, graph metrics, and basic visualization.

© 2026 Katherine Ognyanova · School of Communication & Information, Rutgers University

 
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