Adam Green

Co-founder at Hupside & Chief Scientist | Defining the Original Intelligence Era

Expertise

Human creativity, originality, reasoning, brain function, and cognitive science
Translating academic research on originality into measurable business applications
Scientific development of originality metrics and future product innovation

About the author

Adam Green is a co-founder and Chief Scientist at Hupside. He is an international expert on human creativity and the role of originality in predicting success, and a co-inventor of Hupside’s technology roadmap. In addition to his work at Hupside, he is a professor at Georgetown University, director of the Laboratory for Relational Cognition, founder of the Society for the Neuroscience of Creativity, and editor-in-chief of the Creativity Research Journal.

Education

BA, John Hopkins
PhD, Cognitive Neuroscience, Dartmouth

Publications

How creativity works, and how it comes from the originality and meaning-making that is unique to human cognition:

Green, A., Cohen, M., Raab, H., Yedibalian, C., & Gray, J. R. (2015). Frontopolar activity and connectivity support conscious augmentation of creative state. Human Brain Mapping. https://pubmed.ncbi.nlm.nih.gov/25394198/

AI homogenization relative to greater distinctness of human ideas:

Moon, K., Green, A., & Kushlev, K. (in press). Homogenizing Effect of Large Language Models (LLMs) on Creative Diversity: An Empirical Comparison of Human and ChatGPT Writing. Computers in Human Behavior.
https://www.sciencedirect.com/science/article/pii/S294988212500091X
‍

Moon, K., Kushlev, K., Kaufman, J., Viskontas, I., & Green, A. (in prep). LLM-Era College Admissions Essays Exhibit Paradoxical Semantic Trends.
https://osf.io/preprints/psyarxiv/jsz58_v5

Computational approaches to measuring the distinctness of human ideas:

Johnson, D. Green, A., & Beaty, R. (in press). Thematic profile analysis reveals the explanatory power of themes in creative ideas. Psychology of Aesthetics, Creativity, and the Arts.
https://psycnet.apa.org/record/2026-86616-001
‍

Johnson, D.R., Kaufman, J.C., Baker, B., Barbot, B., Green, A., van Hell, J., Kennedy, E., Sullivan, G., Taylor, C., Ward, T. & Beaty, R., 2021. Divergent semantic integration (DSI): Extracting creativity from narratives with distributional semantic modeling. (2023). Behavior Research Methods, 1-34.
https://drive.google.com/file/d/1lXSIUHuVBRYByXTBfEcpM8iNXBMuwGMu/view

Creativity anxiety: People need to see evidence of their own creative efficacy in order to achieve their creative potential.

Daker, R., Slipenkyj, M., Green, A. *, Lyons, I. * (2023). Evidence for avoidance tendencies linked to anxiety about specific types of thinking. Scientific Reports, 13(1), 3294.
https://drive.google.com/file/d/175JtBOvtwCSMIKHXGm5CJiFCXi1CO7QJ/view
‍

Ren, Z. *, ⌘Daker, R. *, Shi, L., Sun, J., Beaty, R., Wu, X., Chen, Q., & Green, A.^, Qiu, J.^ (2021). Connectome-Based Predictive Modeling of Creativity Anxiety and Prediction of Creative Achievement. NeuroImage, 225, 117469.
https://drive.google.com/file/d/1PoZtbte7YgTIItCuNRpQgC0OubCWWEbo/view
‍

⌘Daker, R., ⌘Cortes, R., Lyons, I., & Green, A. (2020). Creativity Anxiety: Evidence for Anxiety that is Specific to Creative Thinking, from STEM to the Arts. Journal of Experimental Psychology: General. 149 (1), 42.
https://drive.google.com/file/d/1XvOZkuG5PV_nyHJDxxbVV151BGbvIAo5/view

Creativity predicts STEM success:

⌘Daker, R., ★Colaizzi, G., vMastrogiannis, A., Sherr, M., Lyons, I., & Green, A. (2022). Predictive Effects of Creative Abilities and Attitudes on Performance in University-Level Computer Science Courses. Translational Issues in Psychological Science. 8 (1), 104.
https://drive.google.com/file/d/1s4wwLazIiDUKnDcHaWK5lXYmaEOrt_8a/view

more FAQs

Adam Green

Expertise

About the author

Education

Publications

Measure value beyond AI.