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This commentary offers a review of Videira and Rosa's attempt to construct and validate an online corpus of fado transcriptions. While I support their application of music information retrieval (MIR) tools to diverse musical repertoires, I fear that a lack of clarity in their goals leads them to fall into the trap of finding "solutions in search of a problem" that is common in computational ethnomusicology. I highlight ways in which I believe they could improve future work on this project, including: 1) more interdisciplinary collaboration, 2) more clarity in their goals, and 3) the use of corpora and tools that are more suitable for comparing the symbolic data contained in their database of musical transcriptions. [ABSTRACT FROM AUTHOR]

Background A challenge in human genome research is how to describe the populations being studied. The use of improper and/or imprecise terms has the potential to both generate and reinforce prejudices and to diminish the clinical value of the research. The issue of population descriptors has not attracted enough academic attention outside North America and Europe. In January 2012, we held a two-day workshop, the first of its kind in Japan, to engage in interdisciplinary dialogue between scholars in the humanities, social sciences, medical sciences, and genetics to begin an ongoing discussion of the social and ethical issues associated with population descriptors. Discussion Through the interdisciplinary dialogue, we confirmed that the issue of race, ethnicity and genetic research has not been extensively discussed in certain Asian communities and other regions. We have found, for example, the continued use of the problematic term, "Mongoloid" or continental terms such as "European," "African," and "Asian," as population descriptors in genetic studies. We, therefore, introduce guidelines for reporting human genetic studies aimed at scientists and researchers in these regions. Conclusion We need to anticipate the various potential social and ethical problems entailed in population descriptors. Scientists have a social responsibility to convey their research findings outside of their communities as accurately as possible, and to consider how the public may perceive and respond to the descriptors that appear in research papers and media articles. [ABSTRACT FROM AUTHOR]

We present, to our knowledge, the first quantitative evidence that music and genes may have coevolved by demonstrating significant correlations between traditional group-level folk songs and mitochondrial DNA variation among nine indigenous populations of Taiwan. These correlations were of comparable magnitude to those between language and genes for the same populations, although music and language were not significantly correlated with one another. An examination of population structure for genetics showed stronger parallels to music than to language. Overall, the results suggest that music might have a sufficient time-depth to retrace ancient population movements and, additionally, that it might be capturing different aspects of population history than language. Music may therefore have the potential to serve as a novel marker of human migrations to complement genes, language and other markers.