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overview
overview
i am interested in cultural evolution, cross-cultural musicology and multidimensional analysis of cultural phenomenon. Specifically in the cognitive psychology debate about WEIRD (Western Educated Indusrialized Rich and Democratic) vs non-WEIRD societies and the role of co-operation in competitive economies. i believe in using bespoke tools designed specifically for the research question at hand, along with dialog driven approaches to quantitative research.
key areas of interest: cultural evolution, environmentalism, behavioral economics, ethnomusicology, information science, digital humanities, cognitive psychology
previously at Patrick Savage's Comp Music Lab where I studied comparative musicology.
awards, honors and scholarships
awards, honors and scholarships
Kato Award, Graduate School of Media and Governance 2023
Awarded to the top graduate student in Keio Unveirsity's Graduate School of Media and Governance
Outstanding Thesis Award 2023
Awarded to published research thesis papers in Keio University
GAO Scholarship. 2020-2021
Full tuition waiver given to top 3 graduate students.
Yamaha Full Ride Research Fund. 2020-2022.
Research expenses, limited travel, stipend, and tuition.
University-wide Class Representative Graduate Class of 2020. 2020.
Commencement speaker.
Young Scholar's Fund ICTM. 2019.
Travel and accommodation to Bangkok given to top young scholars in ethnomusicology.
Keio Shonan Fujisawa Academic Society Conference Travel Fund. 2018.
Travel and accommodation to Paris for ISMIR 2018.
publications
publications
Wood, A. L. C., Kirby, K. R., Ember, C. R., Silbert, S., Passmore, S., Daikoku, H., … Others. (2022). The Global Jukebox: A public database of performing arts and culture. PloS One, 17(11), e0275469. https://doi.org/10.31234/osf.io/4z97j
Savage, P. E., Jacoby, N., Margulis, E. H., Daikoku, H., Anglada-Tort, M., Castelo-Branco, S. E.-S., … Others. (2023). Building sustainable global collaborative networks: Recommendations from music studies and the social sciences. The Science-Music Borderlands.
https://doi.org/10.31234/osf.io/cb4ys
Daikoku, H., Wood, A. L. C., & Savage, P. E. (2020). Musical diversity in India: A preliminary computational study using Cantometrics. Keio SFC Journal, 20, 34–61. https://gakkai.sfc.keio.ac.jp/journal/.assets/SFCJ20-2-03.pdf
Daikoku, H., Ding, S., Benetos, E., Wood, A. L. C., Shimizono, T., Sanne, U. S., … Others. (2022). Agreement among human and automated estimates of similarity in a global music sample. https://doi.org/10.31234/osf.io/x67nh
Daikoku, H., Shimozono, T., Fujii, S., Hegde, S., & Savage, P. E. (2023). Cross-cultural perception of musical similarity within and between India and Japan. Music & Science, 6, 20592043231207998. https://doi.org/10.1177/20592043231207998
Sauvé, S. A., Phillips, E., Schiefelbein, W., Daikoku, H., Hegde, S., & Moore, S. (2023). Anti-colonial strategies in cross-cultural music science research. Music Perception: An Interdisciplinary Journal, 40(4), 277–292. https://doi.org/10.31234/osf.io/bt6zn
Passmore, S., Wood, A. L. C., Barbieri, C., Shilton, D., Daikoku, H., Atkinson, Q. D., & Savage, P. E. (2024). Global musical diversity is largely independent of linguistic and genetic histories. Nature Communications, 15(1), 3964. https://doi.org/10.31234/osf.io/mdrsn
conferences, workshops and invited talks
conferences, workshops and invited talks
Wood, A. L. C., Kirby, K., Ember, C., Silbert, S., Daikoku, H., McBride, J., Savage, P. E. (2021). The Global Jukebox: An interactive database of the expressive arts and culture. Talk to be presented virtually at the International Conference on Music Perception and Cognition.
Daikoku, H., Ding, S., Benetos, E., Wood, A. L. C.; Fujii, S., Savage, P. E. (2021). Human and automated judgements of musical similarity in a global sample. Talk to be presented virtually at the International Conference on Music Perception and Cognition.
&Daikoku, H., &Shenghao, D., Sanne, U. S., Benetos, E., Wood, A. L. C., Fujii, S., & *Savage, P. E. (2020). Human and automated judgements of musical similarity in a global sample. Poster presented at the 16th annual McMaster NeuroMusic conference, McMaster University, Canada.
&Daikoku, H., &Shenghao, D., Sanne, U. S., Kinoshita, M., Konno, R., Kitayama, Y., Fujii, S., Savage, P. E. (2019). Human vs. automated judgements of similarity in a global music sample. Poster presented at the Digital Music Research Network One-day Workshop 2019 (DMRN+14), Queen Mary University of London, UK
Daikoku, H., Dixon, S., Pearce, M., Proutskova, P., Fujii, S., Kitayama, Y., Harrison, P., Ycart, A. Sato, S., Ho, M.-J., Benetos, E., Savage, P. E. (2019). An empirical investigation of cross-cultural musical aesthetics. Talk presented at the 2019 meeting of the International Council for Traditional Music, Chulalongkorn University, Bangkok, Thailand.
Daikoku, H., Kinoshita, M., Konno, R. Fujii, S., & Savage, P. E. (2018). Measuring music. Poster presented at the Keio University SFC Open Research Forum, Tokyo Midtown, Japan.
Daikoku, H., Kinoshita, M., Fujii, S., & Savage, P. E. (2018). Human vs. automated judgements of cross-cultural musical similarity. In Extended abstracts for the Late-Breaking Demo Session of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018), Paris, France.
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