OpenCon 2015

While global health involves large data to infer population-level behaviors and to inform policy makers, we are less inclined to share the underlying data and analysis codes due to patient confidentiality, national laws, and data novelty. Complex relationships with donors and legal requirements to keep patient data within a given country require novel ways to make global health research more reproducible and transparent. Furthermore, most of research in global health is still inaccessible to the public, due to closed access journals or decentralized conference abstracts/proceedings. Realizing this goal requires developing simulation/anonymization tools, enabling easy implementation of interactive visualization, and advocating changes in policy and research practices. This session invites health professionals, programmers, biostatisticians, policy makers, librarians, and others to discuss how to implement and advance for open global health. After OpenCon, the group of interested participants would continue collaborations in selected technical implementations, software workshops, and policy advocacy in global health.