Google ngram (過去200年間に出版された英語書籍に登場する英単語のデータ)
Pantheon (Wikipediaのデータを使った有史以来の人物影響力ランキング)
Forward Flow (連想力をもとにした創造性を測定できるウェブサイト)
Food Galaxy(レシピをつくるAI)
Jukebox (音楽をつくるAI)
Deepmind (GoogleのAI開発会社)
世界ゆるスポーツ協会 (全ての人が平等に楽しめるスポーツを開発している組織)
Untangling tennis (テニスプレイヤーのデータ可視化サイト)
第2・3回:創造性とは何か?
Barron, A. T. J., Huang, J., Spang, R. L., & DeDeo, S. (2018). Individuals, institutions, and innovation in the debates of the French Revolution. Proceedings of the National Academy of Sciences, 115(18), 4607–4612. https://doi.org/10.1073/pnas.1717729115
Cao, S., Jiang, W., Yang, B., & Zhang, A. L. (2020). How to talk when a machine is listening: Corporate disclosure in the age of AI. NBER Working Paper, 27950. https://doi.org/10.3386/w27950
Fleming, L., Mingo, S., & Chen, D. (2007). Collaborative brokerage, generative creativity, and creative success. Administrative Science Quarterly, 52(3), 443–475.
Liu, L., Dehmamy, N., Chown, J., Giles, C. L., & Wang, D. (2021). Understanding the onset of hot streaks across artistic, cultural, and scientific careers. ArXiv:2103.01256 [Physics]. http://arxiv.org/abs/2103.01256
Park, D., Nam, J., & Park, J. (2020). Novelty and influence of creative works, and quantifying patterns of advances based on probabilistic references networks. EPJ Data Science, 9(1), 1–15. https://doi.org/10.1140/epjds/s13688-019-0214-8
Vicinanza, P., Goldberg, A., & Srivastava, S. (2020). Who sees the future? A deep learning language model demonstrates the vision advantage of being small. Stanford Business School Working Paper, 3869. https://doi.org/10.31235/osf.io/j24pw