Abstract
The Open Algorithms (OPAL) is an approach where a dedicated server installed within a data holding institution receives queries from the outside world and responds with aggregated and anonymized indicators, thus providing insights into the raw data that reside inside the institution without jeopardizing these assets. This chapter discusses how in the future the Open Algorithms (OPAL) system or an equivalent mechanism could allow using data collected and controlled by private companies that are shared through data challenges such as the D4R in a scalable, ethical manner.
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Letouzé, E. (2019). Leveraging Open Algorithms (OPAL) for the Safe, Ethical, and Scalable Use of Private Sector Data in Crisis Contexts. In: Salah, A., Pentland, A., Lepri, B., Letouzé, E. (eds) Guide to Mobile Data Analytics in Refugee Scenarios. Springer, Cham. https://doi.org/10.1007/978-3-030-12554-7_23
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