Police reports suggest that domestic abuse (DA) has risen as a result of the pandemic, yet there is concern that the share of DA incidents reported may have fallen. When a victim and abuser are quarantined together, calling the police may jeopardize the victim's safety. As a result, greater numbers of victims are increasingly isolated and at risk. So how can victims get help? How can authorities let them know what options are available? Direct messaging can be dangerous, since texts from the police may provoke a controlling abuser. We propose a targeted social media campaign to inform potential high-risk victims about the Silent Solution, a safer option for contacting police. Our approach leverages the wide use of social media, which also poses less risk than direct messaging. Whereas text messages are actively sent, social media adverts are passively received. The study will identify potential high-risk victims and randomly select half for the media campaign. Analysis of DA calls will show whether the approach is effective. If so, it will provide an approach for reaching isolated DA victims, and for giving them options to get help, that will be of value both during quarantine and beyond.

This project reframes key challenges that underlie modern policing in a socio-technical world; a world instrumented with mobile and ubiquitous computing technologies, in which many citizens and communities live, work and play, but which must also manage threats to their wellbeing and their rights. The project aims to support a new engagement between authorities (such as the police) and communities of citizens in order to better investigate (and in the long term reduce) potential or actual threats to citizen security, safety, and privacy. This includes both empowering the police by opening up new ways of citizens providing data in ways that protect privacy and anonymity, and empowering citizens by using these new technologies to also hold the police to account. We will be harnessing many of the so-called Internet of Things, Smart City and Smart Home technologies to encourage and allow citizens to help the police collect and analyse disparate data to improve public safety at both local and ultimately national levels. The project will adopt a multi-disciplinary approach, drawing on the disciplines of software engineering for ubiquitous systems, social and cognitive psychology, and digital forensics / policing.

Even though rates of overall crime have gone down in the UK over the last two decades, levels of serious violence in the past four years indicate a reversal of this trend. As a result, tackling serious violence has become a UK Government priority. One of the main ways to prevent youth involvement in violence is to identify and limit its early causes. It is well-known that individuals who have had traumatic or stressful experiences during childhood (referred to as adverse childhood experiences or childhood adversity) - such as being a victim of child abuse or having a parent who suffers from a mental illness - are more likely to engage in violence during adolescence and early adulthood. However, it is not clear which adverse experiences contribute most to violence nor whether they have a greater or lesser impact if experienced at different ages. The aim of our project is to answer these questions. We will address several research questions about the relationship between childhood adversity and serious violence during adolescence and early adulthood. We will consider a wide range of adversities including (but not restricted to) abuse (emotional, physical, and sexual), bullying, bereavement, and parental substance abuse, mental illness, and criminality. The choice of adversities to include in our analyses will be informed in part by the Ambassadors for Vulnerable Children and Young People on our steering group (these are young people who have experience of adversity in childhood, and who are employed by local authorities as ambassadors). We will identify whether any of these adversities have a particularly large impact on the risk of being involved in violent crime as a teenager or a young adult. Another goal is to determine whether there are critical periods during childhood where exposure to adversity - either in general or to one or more specific adversities - puts a child at particularly high risk. We also plan to investigate what role school attainment and attendance, mental health, and risk-taking behaviours (such as taking drugs) play in the relationship between childhood adversity and violence. To fulfil the goals of our project, we will use data from the Avon Longitudinal Study of Parents and Children (ALSPAC), a world-leading data resource that has recorded extremely detailed information on the health, development and family circumstances of approximately 14,500 families living in the Bristol area since the early 1990s. Data collection started during pregnancy and has continued year on year ever since. The richness of this data resource makes it possible to answer questions that previous studies have been unable to address. We will link ALSPAC to data provided by Avon and Somerset police to generate the richest data set on violence and childhood adversity ever created in the UK, further enhancing this unique resource and enabling other researchers to investigate the causes and consequences of offending in new ways. Our findings will shed light on how and when we can best intervene with children (or families) at risk of violence. Addressing these key questions has the potential to help reduce rates of violent crime and to provide a better understanding of how childhood experience contributes to violence that will benefit perpetrators and their families, victims, practitioners, policy makers and the general public.

In the last decade, the role of software engineering has changed rapidly and radically. Globalisation and mobility of people and services, pervasive computing, and ubiquitous connectivity through the Internet have disrupted traditional software engineering boundaries and practices. People and services are no longer bound by physical locations. Computational devices are no longer bound to the devices that host them. Communication, in its broadest sense, is no longer bounded in time or place. The Software Engineering & Design (SEAD) group at the Open University (OU) is leading software engineering research in this new reality that requires a paradigm shift in the way software is developed and used. This platform grant will grow and sustain strategic, multi-disciplinary, crosscutting research activities that underpin the advances in software engineering required to build the pervasive and ubiquitous computing systems that will be tightly woven into the fabric of a complex and changing socio-technical world. In addition to sustaining and growing the SEAD group at the OU and supporting its continued collaboration with the Social Psychology research group at the University of Exeter, the SAUSE platform will also enable the group to have lasting impact across several application domains such as healthcare, aviation, policing, and sustainability. The grant will allow the team to enhance the existing partner networks in these areas and to develop impact pathways for their research, going beyond the scope and lifetime of individual research projects.