Miguel Molina Solana. Marie Curie Research Fellow @ Data Science Institute, Imperial College London https://www.linkedin.com/in/miguems/ Título: “Sound Data Science” Resumen: ¿Puede el sonido usarse para la exploración e interpretación de datos dentro de la Ciencia de Datos? ¿Por qué no se hace? ¿Es la visualización una herramienta más adecuada? ¿Son mecanismos complementarios? El proyecto DATASOUND intenta ofrecer respuestas a algunas de estas preguntas. Evento organizado por María Sánchez, @cibermarikiya.

1. @DataBeersMLG 06-Sept-2018
Miguel Molina-Solana
Sound Data Science

2. Sound Data Science???
Data Science...
with Sound
But also…
Enhanced Data Science

3. Sound Data Science???

4. THE FACTS

5. 1 - How we do Data Science
BTW!

6. 1 - How we do Data Science

7. 1 - How we do Data Science

8. 2 - Humans have 5 senses
https://www.youtube.com/watch?v=-2caC-uI7l4

9. THE QUESTION

10. Why don’t we use sound for Data Science?
touch
smell
sound
taste

11. THE ANSWER

13. So…

14. Why??
… and because I got the money

15. THE PROBLEM

16. 1. Analogies
SIGHT
SOUND

17. THE ‘SOLUTION’

18. Find the differences…

19. Research and practice is needed on
• Which sound variables are available?
• Which are their best uses?
• Identify cognitively-meaningful mappings
(individual, pairs, ….)
• Best uses cases for sound vs visual
• Best uses cases for sound + visual

20. 2 We need (proper!) training

21. Conclusions
Humans have 5 senses…
But for Data Science we only use one.
To use the others…
we need to
better understand how data can be encoded.
identify the best uses cases for each sense.
So, from now on…
Let’s not only see the data!

22. Thanks!!
Miguel Molina-Solana
mmolinas@ic.ac.uk
.