Suchergebnisse

Integrating the open science movement with impactful discoveries in science, velocity of technology, and raw power of cloud computing has led to an unprecedented opportunity for scientific discovery. The American Heart Association recently established the Precision Medicine Platform(1) through the efforts of multiple American Heart Association volunteers and a collaboration with Amazon Web Services. The cloud-based platform, powered by Amazon Web Services and available at https://precision.heart.org, was founded on the FAIR principles (findable, accessible, interoperable, and reusable)(2) and includes secure collaboration areas (workspaces) and an open sharing area. The goals of the platform are to democratize data, to make it easy to search across orthogonal data sets, to provide a secure workspace to leverage the power of cloud computing, and to provide a forum for users to share insights. Multiple learning tools are available, including video tutorials, templates using open interactive programming framework, and a forum for interaction among community members.(3)

In many countries, data collection on sexual violence incidents is not integrated into the healthcare system, which makes it difficult to establish the nature of sexual offences in this country. This contributes to widespread societal denial about the realities of sexual violence cases and the collective oppression of survivors and their families. Capturing detailed information about incidents (e.g., characteristics of perpetrators, where it happened, victims, and the offence) can dispel myths about sexual violence and aid in crime prevention and interventions. This article examines how information about sexual violence incidents—in particular, offences committed against children in Kenya—is gathered from two different data sources: the Violence Against Children Survey (VACS) and data collected by the Wangu Kanja Foundation (WKF), a survivor-led Kenyan NGO that assists sexual violence survivors in attaining vital services and justice. These two surveys provide the most comprehensive information about sexual and gender-based violence. The analysis indicates that, while the VACS provides information about the prevalence of sexual violence, it provides less detailed information about the nature of violence (e.g., characteristics of perpetrators, victims, and the offence) compared with the WKF dataset. We critically reflect on how validity and informativeness can be maximised in future surveys to better understand the nature of sexual violence, as well as other forms of gender-based violence, and aid in prevention and response interventions/programming.

Police interviews gather detailed information from witnesses about the perpetrator that is crucial for solving crimes. Research has established that interviewing witnesses immediately after the crime maintains memory accuracy over time. However, in some contexts, such as in conflict settings and low-income countries, witness interviews occur after long delays, which decreases survivors' access to vital services and justice. We investigated whether an immediate interview via a mobile phone application (SV_CaseStudy Mobile Application, hereafter MobApp) developed by the Kenyan Survivors of Sexual Violence Network preserves people's memory accuracy over time. Participants (N = 90) viewed a mock burglary and were then interviewed either immediately using MobApp or MobApp+ (which included additional questions about the offender's behaviour) and again one week later (n = 60), or solely after a one-week delay (n = 30). We found that memory accuracy one week later was higher for participants immediately interviewed with MobApp or MobApp+ compared to those interviewed solely after a one-week delay. Additionally, memory accuracy was maintained for those interviewed with the mobile application across the one-week period. These findings indicate that the mobile phone application is promising for preserving memory accuracy in contexts where crimes are reported to the police after a delay.