Reading Journal
On this page, you’ll find lists of things I have read recently that might give you an idea of my academic interests. My personal readings (books) can be found on Goodreads.
2021
Planning to read
- Ewell, P. (2020). Harmonic Functionalism in Russian Music Theory: A Primer. Theoria - Historical Aspects of Music Theory, 26, 61–84.
- Benestad, R. E., Nuccitelli, D., Lewandowsky, S., Hayhoe, K., Hygen, H. O., van Dorland, R., & Cook, J. (2016). Learning from mistakes in climate research. Theoretical and Applied Climatology, 126(3), 699–703. https://doi.org/10.1007/s00704-015-1597-5
- Błoch, A., Vasques Filho, D., & Bojanowski, M. (2020). Networks from archives: Reconstructing networks of official correspondence in the early modern Portuguese empire. Social Networks. https://doi.org/10.1016/j.socnet.2020.08.008
- Dai, A. M., Olah, C., & Le, Q. V. (2015). Document Embedding with Paragraph Vectors. ArXiv:1507.07998 [Cs]. http://arxiv.org/abs/1507.07998
- Nieuwkerk, M. van, Nijboer, H., & Kisjes, I. (2020). The Felix Meritis Concert Programs Database, 1832–1888: From Archival Ephemera to Searchable Performance Data: Arts and Media. Research Data Journal for the Humanities and Social Sciences, 5(2), 62–78. https://doi.org/10.1163⁄24523666-00502006
- Navarro-Cáceres, M., Caetano, M., Bernardes, G., Sánchez-Barba, M., & Merchán Sánchez-Jara, J. (2020). A Computational Model of Tonal Tension Profile of Chord Progressions in the Tonal Interval Space. Entropy, 22(11), 1291. https://doi.org/10.3390/e22111291
- Manovich, L. (2016). The Science of Culture? Social Computing, Digital Humanities and Cultural Analytics. Journal of Cultural Analytics, 11060. https://doi.org/10.22148⁄16.004
- Taruskin, R. (2011). Catching Up with Rimsky-Korsakov. Music Theory Spectrum, 33(2), 169–185. https://doi.org/10.1525/mts.2011.33.2.169
Already read
- Harte, J. (2011). Maximum Entropy and Ecology: A Theory of Abundance, Distribution, and Energetics. https://doi.org/10.1093/acprof:oso/9780199593415.001.0001
- Nguyen, D., Liakata, M., DeDeo, S., Eisenstein, J., Mimno, D., Tromble, R., & Winters, J. (2020). How We Do Things With Words: Analyzing Text as Social and Cultural Data. Frontiers in Artificial Intelligence, 3. https://doi.org/10.3389/frai.2020.00062
- Hernando, A., Hernando, R., Plastino, A., & Plastino, A. R. (2013). The workings of the maximum entropy principle in collective human behaviour. Journal of The Royal Society Interface, 10(78), 20120758. https://doi.org/10.1098/rsif.2012.0758
- Harte, C. A., Sandler, M., Abdallah, S., & Gómez, E. (2005). Symbolic representation of musical chords: A proposed syntax for text annotations. Proceedings of the 4th International Conference on Music Information Retrieval (ISMIR), 56, 66–71.
- Raimond, Y., Abdallah, S., Sandler, M., Mary, Q., & Giasson, F. (2007). The Music Ontology. ISMIR 2007, 417–422.
- Fazekas, G., Raimond, Y., Jacobson, K., & Sandler, M. (2010). An Overview of Semantic Web Activities in the OMRAS2 Project. Journal of New Music Research, 39(4), 295–311. https://doi.org/10.1080⁄09298215.2010.536555
- Jones, J., de Siqueira Braga, D., Tertuliano, K., & Kauppinen, T. (2017). MusicOWL: The music score ontology. Proceedings of the International Conference on Web Intelligence, 1222–1229. https://doi.org/10.1145⁄3106426.3110325
- Rashid, S. M., De Roure, D., & McGuinness, D. L. (2018). A Music Theory Ontology. Proceedings of the 1st International Workshop on Semantic Applications for Audio and Music, 6–14. https://doi.org/10.1145⁄3243907.3243913