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NORC at the University Chicago
NORC unlocks the full potential of AI through tailored, fit-for-purpose solutions that deliver insights and analysis that decision-makers trust.

NORC develops fit-for-purpose AI solutions to meet our clients’ needs. Our expertise covers the full AI lifecycle, from data quality assessment, record linkage, and confidentiality and privacy to computational algorithms, assessing and mitigating bias in AI models, user experience research, and multidisciplinary subject matter expertise. With such expertise, NORC is the trusted source in AI—tailoring solutions to clients’ specific needs.  

  • Methodological enhancement: Our data science experts use AI to expand the state of the art in fields like survey methodology and statistics, and to build innovative AI systems that help clients derive trustworthy insights from their data. 
  • More effective and wide-ranging data integration: With AI, NORC can help clients take advantage of non-traditional data, such as audio, images, video, and text, and extract even richer insights from traditional sources, such as surveys and administrative data.   
  • AI-ready data and infrastructure: NORC is a proven leader in helping organize data to be effectively leveraged by AI and in designing infrastructure to support AI research.   
  • Actionable, boundary-pushing research: In addition to using AI, NORC also conducts research about AI and its effects in different domains. NORC’s AI research helps clients understand the societal impacts of this consequential technology. 

Following the principles of human-centered AI, NORC is working to make AI research, products, and services more equitable by understanding and mitigating the bias that AI can introduce. This human-centered approach improves user experiences and results in insights that benefit society as a whole. 

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Artificial Intelligence Experts

Discover Our Research

The Transformative Power of AI-Enhanced High-Dose Tutoring

Expert View

High-dose tutoring has emerged as a promising approach, attracting significant interest from many leading educational institutions and national think tanks, but what exactly is high-dose tutoring, and why is it becoming so popular?
A student sits in front of a laptop writing in a notebook.

Older Adults Express Mixed Views on Artificial Intelligence

NORC Article

A Foresight 50+ Omnibus Survey of adults age 50 and older found that 17 percent said they were very familiar with AI and only nine percent said they hadn’t heard of or read about it.
Digital illustration of brain and icons.
opens in new tabDisinformation, AI and poll-worker problems: How elections this week could preview 2024

USA TODAY

opens in new tabWhat Are the Limits of Big Data?
opens in new tab5 Steps for Nonprofits to Begin Cloud-based Machine Learning

Highlighted Projects

Data Concierge Models for a National Secure Data Service

Developing novel models and tools to assist federal data users

Client:

The National Science Foundation’s (NSF) National Center for Science and Engineering Statistics (NCSES)

Clinical Decision Support Innovation Collaborative

Translating patient-centered outcomes research into effective practice

Client:

Agency for Healthcare Research and Quality

Health Communication AI

Combining the trust-building ability of digital opinion leaders with the scalability of AI to revolutionize health communication

Artificial Intelligence Projects

Publications

  • Detecting and Mitigating Algorithmic Bias in Online Misinformation. (FORTHCOMING)

    Presentation | August 6, 2024

    Sepulvado, B., Burke-Garcia, A., Lerner, J.Y., Carter, C., Cutroneo, E., Tran, H. and Lafia, S.

  • Detecting and Mitigating Algorithmic Bias in Online Misinformation.

    Presentation | May 15, 2024

    Carter, C., Sepulvado, B., Lerner, J.Y., Cutroneo, E., Tran, H., Lafia, S. and Burke-Garcia, A.

  • Enhancing Survey Methodology with LLMs.

    Presentation | May 1, 2024

    Lerner, J.Y., Sepulvado, B., Bilgen, I., Christian, L. and Huang, L.

  • Optimizing Open-Ended Questions for Natural Language Processing and Enhancing Survey Research Quality with LLMs.

    Presentation | April 1, 2024

    Sepulvado, B., Lerner, J.Y., Bilgen, I., Christian, L. and Huang, L.

  • Health Communication AI as the Newest Form of Opinion Leader

    Presentation | March 26, 2024

    Burke-Garcia, A. & Soskin Hicks, R.

  • "Health Information Workforce: Survey Results on Workforce Challenges and the Role of Emerging Technologies"

    Research Brief | October 24, 2023

  • Metadata Considerations to Ensure Interoperability for an International Network of Infrastructure Projects.

    Presentation | October 1, 2023

    Sepulvado, B.

  • An NLP-based Approach to Record Linkage.

    Presentation | October 1, 2023

    Huang, L., Sepulvado, B., Resnick, D., Taub, J. and Betancourt, B.
Publications on Artificial Intelligence