Improving Case Management for Cross-Border Child Protection
In this project the team built an AI planning model and web application that makes social case management more efficient and effective. The project partner International Social Service (ISS) is an international NGO founded in 1924, which helps more than 75,000 families per year across the globe.
The problem: AI meets case management
A caseworker is a social worker who works for a government agency, nonprofit organization, or another group to take on the cases of individuals. The worker provides advocacy, information, and solutions. Overall, the social service sector is increasingly showing an interest in turning to data-driven practices.
Some of the key reforms that social organizations expect from leveraging data include:
Harness the potential of the underlying gold mine of expert knowledge
Relieve the limited staff of repetitive administrative and operational tasks
Address missions on a shorter timeline with enhanced efficiency
The project results
40 Omdena tech changemakers created a working solution in only eight weeks. The solution can significantly help in managing cases and thus providing more effective support for families in need. Upon continued development, it will be the first step toward ISS’s AI journey.
Access to the gold mine of expert knowledge was severely restricted by ISS’s strict confidentiality agreement with their clients. ISS could only provide five anonymized cases. In a collaborative effort, our changemakers searched the web and collected more than 230 publicly available cases on child protection and abuse.
In the next step, the team applied various Natural Language Processing (NLP) techniques to make the data usable.
Finally, a group built an easy-to-use web application that displays case types, keywords, similar cases, a risk score, and more. With the help of the AI-powered tool, caseworkers can now familiarize themselves with cases more quickly – and have the experience of their colleagues around the world at their fingertips.
For the technical results, find a case study here.
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The International Social Service (ISS) is an international NGO founded in 1924; today a network of national entities and a General Secretariat that assists children and families confronted with complex social problems as a result of migration. Thanks to its presence in more than 120 countries, ISS is a global actor promoting child protection and welfare. ISS support and helps approximately 75,000 families in the world each year.
Working with Omdena has been an awesome experience. We felt the breath of fresh air. We felt their engagement and we understood once at for all that it is often not the technology which is crucial but setting the stage for the adoption. The team was instrumental in clarifying that for us. After eight weeks, we have a proof of concept and the elements at ISS to embrace AI into our systems and working models. And this is thanks to Omdena.