In recent years, scores of international development projects have emerged that rely heavily on data analytics to support scientific, economic, and humanitarian efforts. Whether developed privately or in public-private partnership with aid organizations and governments, they often start from a common idea and scope. Yet despite tackling similar problems and possessing similar values, ideas and information, these projects do not typically share code, data, infrastructure, or architecture. As OpenStack develops and matures, it is driving increased interest into federated computation pools to support on-going research.
