Data for Good, What Is It Good For?: Challenges, Opportunities, and Data Innovation in Service of Refugees

N. Smith, M. Idris, Friederike Schüür, Rita Ko
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Abstract

With 82.4 million forcibly displaced people, we need new approaches to the global refugee crisis. The Hive, the innovation lab at USA for UNHCR, uses data, machine learning (ML), and other emerging technologies to improve lives for refugees in coordination and collaboration with UNHCR (United Nations High Commissioner for Refugees), known as the UN Refugee Agency. We outline five challenges in successfully leveraging data and emerging technologies in the humanitarian space that tend to be overlooked and share the Hive’s approach and evolution to tackling these challenges. From assembling the right team and finding the right partners to inclusive and impactful data innovation, the Hive has worked to apply industry techniques to the nonprofit sector since 2015. We hope that our insights can help guide data innovation efforts at other organizations in the humanitarian space.
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数据有益,它有益于什么?:难民服务面临的挑战、机遇与数据创新
8240万人被迫流离失所,我们需要新的方法来应对全球难民危机。Hive是美国联合国难民署的创新实验室,与联合国难民事务高级专员办事处(UNHCR)(即联合国难民机构)协调合作,利用数据、机器学习和其他新兴技术改善难民的生活。我们概述了在人道主义领域成功利用数据和新兴技术的五大挑战,这些挑战往往被忽视,并分享了蜂巢应对这些挑战的方法和演变。从组建合适的团队和寻找合适的合作伙伴到包容性和影响力的数据创新,Hive自2015年以来一直致力于将行业技术应用于非营利部门。我们希望我们的见解能够帮助指导人道主义领域其他组织的数据创新工作。
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