PeopleofSuperintelligence

Researcher

Elaine Chen

Also known as Yoke Yie Chen

Elaine Chen is a researcher whose work spans sentiment-based recommendation and AI in education. She coauthored a 2020 article on aspect sentiment and preference knowledge for social recommender systems, then a 2023 study of problem- and project-based AI literacy teaching for management students. In 2024, she and Yun He surveyed 54 students known to Nottingham Trent’s disability and inclusion team about their views and use of GenAI. In 2025, she and John Buglear coauthored the fourth edition of Stats Means Business, and she taught business analytics at Nottingham Business School. As of October 2026, she supervises a Nottingham Trent PhD project on AI fatigue and workplace performance and safety.

Timeline

  1. 2020

    Aspect sentiment and social recommenders

    In 2020, she coauthors an article on combining aspect sentiment and preference knowledge for social recommender systems.

  2. 2023

    AI literacy for management students

    In 2023, she coauthors a study of problem-based and project-based learning for teaching AI literacy to management students at master’s level.

  3. 2024

    GenAI use by disabled students

    In 2024, she and Yun He survey 54 students known to NTU’s disability and inclusion team about their views and use of GenAI.

  4. 2025

    Stats Means Business, fourth edition

    In 2025, she and John Buglear coauthor the fourth edition of Stats Means Business: Statistics and Business Analytics for Business, Hospitality and Tourism. The book serves hospitality, business and tourism students who study statistics or quantitative methods, and she teaches business analytics at Nottingham Business School, Nottingham Trent University.

  5. As of October 2026

    Supervising AI fatigue research

    As of October 2026, she supervises Nottingham Trent’s PhD project Quantifying AI Fatigue and its Impact on Workplace Performance and Safety.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  3. 46% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Sources and credits

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  1. Yoke Yie Chen csauthors.net. Checked 19 October 2026.
  2. AIS Electronic Library (AISeL) - AMCIS 2023 Proceedings: Developing AI Literacy of Management Students using Problem and Project based Learning aisel.aisnet.org. Checked 19 October 2026.
  3. BGA’s Business Impact magazine: Issue 3, 2024 | Volume 21 - Page 11 online.flippingbook.com. Checked 19 October 2026.
  4. Stats Means Business: Statistics and Business Analytics for Business, Hospitality and Tourism routledge.com. Checked 19 October 2026.
  5. PhD Quantifying AI Fatigue and its Impact on Workplace Performance and Safety at Nottingham Trent University globaladmissions.com. Checked 19 October 2026.