Meet Lizzy
Meet Lizzy
Lizzy App is featured in
Latest releases
We added a FAQ page to the Lizzy app to answer some of the most common questions we received over the years. This section also contains common questions regarding our organization and the way we develop our risk assessments.
To make referrals more accessible to our app users, we now include a database of country-wide German support services accessible in the Lizzy app. The services include shelters, legal advice, counselling, hotlines, etc., with contact information, location within Germany, and in some cases, opening hours.
To provide a more comprehensive view of survivor needs, we now move beyond intimate partner violence and include questions relating to a survivor's and their children's particular needs.
Integration of a model to evaluate the ongoing risk of a victim being stalked based on other indicators.
We are one of the few organizations require the assessment output be directly shared with victims as part of the using Lizzy. We created 3 shareable formats for our risk assessment (shareable link, QR code, printable PDF) to enable survivor record-keeping and potential sharing with trusted contacts such as family, friends, or legal services. Given our concern for survivor privacy, all these formats are pseudonymized and have an expiry date, so they cannot be re-accessed by the perpetrator.
Integration of models that assess the risk of ongoing child abuse. We ran another survey on 6,389 people in the UK to understand patterns of child abuse across households. This allowed us to build models that are able to identify 3 types of child abuse (emotional, physical, neglect) and integrate them with our already comprehensive view of intimate partner violence.
First version of our comprehensive domestic abuse risk assessment. Lizzy V1 covers 5 abuse types (digital, emotional, financial, physical, sexual) and 2 time frames (present, in the next 3 months). It has been developed based on the shared experiences of 7,400 people across Germany and is currently the best performing risk assessment for future physical violence in the field.
Our devoted team
FAQ's
I work on Frontline’s AI product development. I’m involved in all aspects of model development, from data wrangling and visualization to statistical tests, model training and validation. Ensuring data quality and appropriate implementation of modelling techniques is my main focus as it ultimately underlies our product effectiveness in real-life settings.
As a freelance data analyst, I take on challenging projects for mission-driven companies, being especially interested in social impact, healthcare, and accessibility.
My background in Natural Sciences is the cornerstone of my research and analytical skills, whereas my work in finance and SaaS companies equipped me with a pragmatical approach to analysis. As much as I love coding and statistics, I’ve constantly been teaching alongside my technical work or taken on client-facing and mentoring responsibilities in previous positions. In my free time, I like learning, dancing tango, and kickboxing. My ambition is to get everyone at Frontline join a sparring session seeing as I already have enough mouthguards for double our team size.
Adam is a Cambridge graduate with 12 years of experience in data driven technology in both Europe and MENA.
His focus areas have been in behavioural marketing (Havas Group, Coty WW), prop-tech (Property Finder Group), media (Simon Sinek) and GovTech in the regulated financial services space.
I lead Frontline's product offering. As Frontlines Chief Data Officer, I oversee developing an AI-powered domestic abuse risk assessment that is robust, valid and ethical. This includes the development of the AI, the digital interface and the training for the product. With experience as a project manager and data scientist in both the public and private sectors working for government institutions, NGOs and companies, I bring a unique blend of analytical expertise and practical insights to her role.
I co-founded Frontline to advance the field of domestic abuse. More specifically, I am passionate about researching and developing tools that are evidence based, state of the art and effective in identifying and supporting victims of domestic abuse. As a social data scientist, my main interest lies in translating complex data into actionable insights to foster innovation and drive positive change. To help make sense of the data and understand the practical application of the tool, I am also supported by a (patient) husband who also happens to be a police officer. In my free time, I volunteer, eat good food and exercise (something Babatunde should do more of!). I am also a huge fan of Dungeons and Dragons.
At Frontline, I focus on the administrative elements of the organisation such as relationship building, fundraising and marketing. However, considering my work history I also support with the product build out. I have worked across the counter-violence sphere in a variety of geographies. This has ranged from supporting victims of child abuse in Central London all the way to working in counter-extremism/terrorism in Southeast Asia and the Middle East.
I use my subject matter expertise and personal experience to support the team in bringing Lizzie to life. My time in counterterrorism drove me to create Frontline when I realised the disparity in the quality of tools that those who work to reduce household violence have vs those who work to prevent terrorism. Personally, seeing as household violence is significantly more common and has a greater social impact, I am determined to see this sector have advanced tools like Lizzie.
