Gender-Based Violence (GBV) is a serious problem that societies and governments must address using all applicable resources. This requires adequate planning in order to optimize both resources and budget, which demands a thorough understanding of the magnitude of the problem, as well as analysis of its past impact in order to infer future incidence. On the other hand, for years, the rise of Machine Learning techniques and Big Data has led different countries to collect information on both GBV and other general social variables that in one way or another can affect violence levels. In this work, in order to forecast GBV, firstly, a database of features related to more than a decade’s worth of GBV is compiled and prepared from official sources available due to Spain’s open access. Then, secondly, a methodology is proposed that involves testing different methods of features selection so that, with each of the subsets generated, four techniques of predictive algorithms are applied and compared. The tests conducted indicate that it is possible to predict the number of GBV complaints presented to a court at a predictive horizon of six months with an accuracy (Root Median Squared Error) of 0.1686 complaints to the courts per 10,000 inhabitants—throughout the whole Spanish territory—with a Multi-Objective Evolutionary Search Strategy for the selection of variables, and with Random Forest as the predictive algorithm. The proposed methodology has also been successfully applied to three specific Spanish territories of different populations (large, medium, and small), pointing to the presented method’s possible use elsewhere in the world.

Intimate partner violence (IPV) remains a scourge that compromises the rights of many women around the world, shaping an asymmetry in civil rights. Fighting gender-based violence, especially when it is committed by an intimate partner, is an important responsibility that needs to be addressed from all angles. It is also remarkable that our society is clearly conditioned by information and communication technology (ICT), which involves many aspects of our daily life. Unfortunately, violence that is performed in the real world is also replicated in this ‘virtual’ existence, by offenders in ICT contexts. On the other hand, the same technologies also provide a plethora of opportunities to fight IPV, which are enhanced by the innovative paradigm of the so-called Internet of Things (IoT). In this work, we first present a thorough compilation of ICT proposals already published—based on either hardware or software—aimed at protecting IPV survivors, and which can be applied in real life situations but also within social networks. The challenges that still lie ahead are highlighted and, a complete ICT-based platform for IPV management, within an IoT framework, that overcomes the limitations of previous works is proposed, and then promoting a symmetry between individuals in society.

Intimate Partner Violence (IPV) dramatically compromises the free and complete development of many women around the world, therefore leading to social asymmetry regarding the right to personal safety. In many cases, a woman who has reported her partner to police for gender-based violence needs to ensure her protection (either before the trial of the aggressor or after their freedom). Thus, it would be ideal if autonomous alarm systems could be developed in order to call the police if necessary. Up to now, many proposals have been presented in this regard, including solutions based on Information and Communication Technologies (ICT) but, unfortunately, these approaches usually rely on the active participation of the victims (survivors), who have to turn the system on by themselves if needed. Therefore, in order to overcome such limitations, in this work, a passive continuous monitoring system is proposed which uses biosensors attached to the survivor as well as machine learning techniques to infer if an abnormal situation related to gender-based violence is taking place, activating in this case an alarm. The monitoring structure of the system supervises a great deal of bio-signals according to the current status of technology of wearables and biomedical devices. The presented biosensors-based surveillance solution can also be manually disconnected for 30/60/90 min (on demand) in order to avoid false positives when a woman is, for example, practicing sports or carrying out other inoffensive activities that could incorrectly activate the alarm.

Sexual harassment and harassment on the grounds of sex are social problems that still need to be solved in 2020. Universities are not immune to these issues and they generally determine a set of measures to be implemented, sometimes in the form of a protocol of action, in order to address the problem. After a review of the literature, this work will describe the development of these protocols in Spanish public universities, offering a compilation of the implemented means and procedures, but also others still to be added, creating a diagnosis of the position of Spanish universities, and suggestions about how to manage sexual harassment and harassment on the grounds of sex in a higher education environment.

La reforma educativa que ha supuesto la LOMCE desde su aprobación en diciembre de 2013 ha abierto importantes debates educativos y sociales sobre los cambios que supone con respecto a la LOE (2006), de entre los cuales cabe destacar la financiación con fondos públicos de las escuelas que segregan por sexo (single-sex). En este artículo empezamos analizando los cambios introducidos por la LOMCE desde una perspectiva crítica de género; a continuación, centramos el análisis en el debate sobre la financiación pública de la escuela segregada desde la perspectiva de la igualdad de oportunidades en democracia; finalmente, concluimos defendiendo la coeducación como modelo que hace efectiva la igualdad de oportunidades frente a esa escuela segregada.

Background: Women who experience intimate partner violence (IPV) are more likely to develop disabling chronic pain (CP). However, there is little information on what it means to live with CP while being exposed to IPV. In addition, despite well-established risk and protective factors for CP and its health outcomes, there are no data on whether these factors differ in women who have experienced IPV compared to those who have not. Objective: Our aims are to understand the meaning and implications of living with CP for women who have experienced IPV compared to women with CP alone and to identify possible differences in risk and protective factors as well as health outcomes. Methods: We have designed 2 studies to be conducted in 2 phases. The first phase will involve a qualitative study with a descriptive and exploratory design. Individual semistructured interviews will be conducted with at least 10 women with CP alone and with 10 women with CP who have experienced IPV. Reflexive thematic analysis will be used to examine participants’ experiences, meanings, and realities. In the second phase, a cross-sectional study will be conducted with women with CP affected by IPV, including those currently experiencing IPV and those with past exposure to IPV, as well as women with CP who have never experienced IPV. A total of 359 women will complete various scales assessing risk and protective factors (eg, pain-related worrying and activity patterns) and health outcomes (eg, legal and illegal drug use and health care use). Data analysis will involve inferential statistics and machine learning. Results: As of May 2025, we had contacted relevant associations to present the project and begin recruiting voluntary participants. We have conducted the pilot study to assure the adequacy of the questionnaire and usability or technical functionality of the web-based platform. The results are expected to be published starting in January 2026. Conclusions: This research addresses two urgent needs in pain research identified by the European Pain Federation: (1) expanding knowledge on CP management in relation to contextual factors; and (2) identifying specific psychosocial, self-management, and health profiles among women with CP who have experienced IPV and those who have not. This could provide valuable insights for personalizing pain management treatments. In addition, the findings may help identify women experiencing IPV who present to health care settings. International Registered Report Identifier (IRRID): PRR1-10.2196/66396