Cookies Policy

The website of the University of Cádiz uses its own and third-party cookies to carry out analysis of use and measurement of traffic, as well as to allow the correct functioning in social networks, and in this way to improve your browsing experience.

If you want to configure cookies, press the button Customize Cookies. You can also access the cookie settings at any time from the corresponding link in the footer.

For more information about cookies you can consult the Cookies policy from the website of the University of Cádiz.

Cookies customization

The website of the University of Cádiz uses its own and third-party cookies to carry out analysis of use and measurement of traffic, as well as to allow the correct functioning in social networks, and in this way to improve your browsing experience.

For more information about cookies you can consult the Cookies policy from the website of the University of Cádiz. You can also access the cookie settings at any time from the corresponding link in the footer.

You can configure the website cookies according to their purpose:

  • Statistical analysis

    Third-party cookies (Google Analytics) are used on this site that allow the number of users to be quantified anonymously (personal data will never be obtained to identify the user) and thus be able to analyze the use made by users of our service, in order to improve the browsing experience and offer our content optimally.

  • Social networks

    Third-party cookies are used on this website that allow the proper functioning of some social networks (mainly YouTube and Twitter) without using any personal data of the user.

UniversidaddeCádiz
DCODES
noticia

El equipo Dcodes participa en la “9th International Conference on Computational Data Science” 27 July 2023

El equipo Dcodes participa  en la “9th International Conference on Computational Data Science”
El equipo de investigación del  proyecto Dcodes ha  participado en la “9th International Conference on Computational Data Science” , llevada a cabo en la ciudad de Copenhague del 17 al 21 de abril de 2023.
Durante el evento, Javier Álvarez Gálvez, investigador responsable del proyecto, presentó una comunicación tipo póster titulada “Network models of vaccine hesitancy on COVID-19 vaccines“.
Además, con la presencia de los principales expertos en ciencia de datos y análisis computacional de todo el mundo, esta conferencia representó para el equipo DECODES, un espacio excepcional para intercambiar conocimientos, descubrir innovaciones y debatir sobre los últimos avances en este campo.