Below the list of projects cofunded by the María de Maeztu program (selected via internal calls, in this link the first one launched at the beginning of the program, and in this link the second one, launched in September 2016).

In addition, the program supports:

The detail of the internal procedures for the distribution of funds associated to the program can be found here

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STOP.es: Suicide prevenTion in sOcial Platforms in Spain

STOP.es: Suicide prevenTion in sOcial Platforms in Spain

STOP.es: Suicide prevenTion in sOcial Platforms in Spain

More people die by suicide than by car accidents: according to the most recent data available from the 2014 in Spain, the number of deaths by suicide doubles those caused by car accidents (3910 vs 1873).  If we consider the European Region, we shall see that six countries are listed in the top 20 with the highest estimated suicide rates globally. From a more general view, World Health Organization (WHO) reported approximately 804,000 deaths occurred due to suicide in 2012 worldwide. Suicide thus became the first cause of death between the ages of 15 and 44. It is worth highlighting that in high-income countries the amount of young adults (i.e., between 15 and 29 years old) who commit suicide accounts for 17.6% of the total number of deaths.

Although technology has brought many advantages to society, it has also contributed negatively to some aspects, such as making easily available information on how to commit suicide over the Internet as well as on social media, or providing negative feedback to people suffering from mental illnesses.

Nevertheless, if monitored closed enough, social networks can also be used to prevent suicide. In this regard, it is of public knowledge that there have been several cases where people have used social media or web as a relief or a way of announcing their intention of suicide.

Based on the current situation and the scarcity of initiatives regarding suicide, we hypothesize that “social media monitoring could help in suicide prevention and contribute to national suicide strategies”. Hence, the main goal of this proposal is to detect depressive tendencies which may lead to suicide to fill in the existing gap in monitoring and prevention on social networks in Spain.

Previous work has attested that Twitter is suitable for detecting suicidality. In this project, we would like to expand this study and see if this association also applies to other social networks. State-of-art techniques will be used to extract user information (tweets, posts…) related to suicidality. Sentiment analysis techniques (both keyword-based and machine-learning-based approaches) will be used for detecting suicidal patterns in user data.

Also, previous works are focused on English or Chinese Tweets, when Spanish is the second most spoken language in the world. Thus, as a first analysis, we will study the data related with suicidality found in Spain.

The main benefit of this project would be to contribute nationally (and internationally) to suicide prevention plans in reducing this kind of events.