Disaster, infrastructure and participatory knowledge: the Planetary Response Network
Citizen Science: Theory and Practice Ubiquity Press 7:1 (2022) 21-21
Abstract:
There are many challenges involved in online participatory humanitarian response. We evaluate the Planetary Response Network (PRN), a collaboration between researchers, humanitarian organizations, and the online citizen science platform Zooniverse. The PRN uses satellite and aerial image analysis to provide stakeholders with high-level situational awareness during and after humanitarian crises. During past deployments, thousands of online volunteers have compared pre- and post-event satellite images to identify damage to infrastructure and buildings, access blockages, and signs of people in distress. In addition to collectively producing aggregated “heat maps” of features that are shared with responders and decision makers, individual volunteers may also flag novel features directly using integrated community discussion software. The online infrastructure facilitates worldwide participation even for geographically focused disasters; this widespread public participation means that high-value information can be delivered rapidly and uniformly even for large-scale crises. We discuss lessons learned from deployments, place the PRN’s distributed online approach in the context of more localized efforts, and identify future needs for the PRN and similar online crisis-mapping projects. The successes of the PRN demonstrate that effective online crisis mapping is possible on a generalized citizen science platform such as the Zooniverse.Practical galaxy morphology tools from deep supervised representation learning
Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 513:2 (2022) 1581-1599
Galaxy Zoo: Clump Scout: Surveying the Local Universe for Giant Star-forming Clumps
The Astrophysical Journal American Astronomical Society 931:1 (2022) 16
Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift
ArXiv 2204.08816 (2022)
A new look at local ultraluminous infrared galaxies: the atlas and radiative transfer models of their complex physics
Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 512:4 (2022) 5183-5213