Global knowledge platform about violence prevention for the World Health Organization
High-quality data on interpersonal violence is scattered across a myriad of specialist websites, statistical databases, technical reports, and exclusive academic journals. Together with the World Health Organization we built a platform which brings together the existing scientific information including studies on prevalence of interpersonal violence, its consequences, risk factors, prevention and response strategies. The data for each category of violence is analyzable through various visualizations to present a more accurate picture of the magnitude, severity, and consequences for individuals and society.
Introducing the different types of violence
For each of the violence types we created a dedicated page to summarize the most important facts and figures. It is structured to first give a solid definition and explanation of a violence type’s prevalence. The experience then continues into the potential consequences and risk factors for an individual and our greater society. Each category is concluded with a list of possible prevention and response strategies based on the findings of multiple studies within the database.
Communicating complex violence data to a broad audience
The main challenge we faced in this project was to communicate the statistically very complex data to a broad audience in an accessible way. Our solution is a set of simple data visualizations summarizing the findings of all the studies in the data base.
Reporting a country’s actions to prevent violence
Violence Info also covers country specific information on their action plans, laws and programs created to prevent violence. Further, it indicates their reported homicide rate and available studies on other types of violence.
Providing an expert tool for scientists and journalists
For scientists and journalists we built a tool which allows them to explore the over 3,000 studies within the Violence Info platform. The studies are organized first by violence type and then by its prevalence, consequences, risk factors, prevention and response strategies. The full set can be filtered by author, sex, age or income group and other parameters.
A project in collaboration with the World Health Organization
Realization
Project Start:
June 2016
Project Release:
October 2017
Services
Interaction Design
Interface Design
Data Visualization
Software Engineering
Content Management
Credits
Christian Siegrist
Ece Kavlak
Gerhard Bliedung
Luc Guillemot
Peter Gassner
Tomas Carnecky
Liverpool John Moores University (Data Acquisition)