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

  1. Ewell, P. (2020). Harmonic Functionalism in Russian Music Theory: A Primer. Theoria - Historical Aspects of Music Theory, 26, 61–84.
  2. 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
  3. 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
  4. Dai, A. M., Olah, C., & Le, Q. V. (2015). Document Embedding with Paragraph Vectors. ArXiv:1507.07998 [Cs]. http://arxiv.org/abs/1507.07998
  5. 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
  6. 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
  7. 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
  8. 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

  1. Harte, J. (2011). Maximum Entropy and Ecology: A Theory of Abundance, Distribution, and Energetics. https://doi.org/10.1093/acprof:oso/9780199593415.001.0001
  2. 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
  3. 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
  4. 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.
  5. Raimond, Y., Abdallah, S., Sandler, M., Mary, Q., & Giasson, F. (2007). The Music Ontology. ISMIR 2007, 417–422.
  6. 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
  7. 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
  8. 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