Yongwei Yang
Yongwei Yang is a researcher at Google. He works on (1) user and consumer research, (2) public perceptions about AI, (3) integrating AI into research methods and processes, and (4) attitude-behavior linkage and its implication to business goal-setting and impact evaluation.
Yongwei also works on foundational methodological research on collecting better data and making better use of data, esp. with surveys, psychological measurement, and behavioral signals. He is passionate about using his expertise to create a positive impact and to help others become effective users of research.
Yongwei holds a Ph.D. in Quantitative and Psychometric Methods from the University of Nebraska-Lincoln.
Authored Publications
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Google
Test-retest reliability of four U.S. non-probability sample sources
Mario Callegaro
Inna Tsirlin
American Association for Public Opinion Research (2022)
Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries
Patrick Gage Kelley
Christopher Moessner
Aaron Sedley
Andreas Kramm
David T. Newman
Allison Woodruff
AIES '21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (2021), 627–637
“Mixture of amazement at the potential of this technology and concern about possible pitfalls”: Public sentiment towards AI in 15 countries
Patrick Gage Kelley
Christopher Moessner
Aaron M Sedley
Allison Woodruff
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 44 (2021), pp. 28-46
Scaling the smileys: A multicountry investigation
Aaron Sedley
Joseph M. Paxton
The Essential Role of Language in Survey Research, RTI Press (2020), pp. 231-242
Response Option Order Effects in Cross-Cultural Context. An experimental investigation
Rich Timpone
Mario Callegaro
Marni Hirschorn
Vlad Achimescu
Maribeth Natchez
2019 Conference of the European Association for Survey Research (ESRA), Zagreb (2019) (to appear)
Assessing the validity of inferences from scores on the cognitive reflection test
Nikki Blacksmith
Tara S. Behrend
Gregory A. Ruark
Journal of Behavioral Decision Making, 32 (2019), pp. 599-612
Justice Rising - The Growing Ethical Importance of Big Data, Survey Data, Models and AI
Rich Timpone
BigSurv 18 (Big Data Meet Survey Science) conference, Barcelona, Spain (2018)
