“ map makers who may not have come from traditional mapping backgrounds, and are frequently using open data and open source mapping tools …..”
“… .. the blurring of boundaries between map producers and map consumers …..”
“… .. the availability of data and tools allows these neocartographers to make their own maps, and often be the intended audience as well – that is to say they may make the maps for themselves, just because they can”
Haiti earthquake response mapping project http://wiki.openstreetmap.org/wiki/WikiProject_Haiti/Earthquake_map_resources “ I wish there was a way that I can express to you properly how important your OSM files were to us.” Member of Fairfax County Urban Search & Rescue Team
The amount of manual work needed for ensuring quality for a crowdsourcing system is a major limitation for large scale applications. We introduce CrowdSynth, an end-to-end system design for automatically solving and managing crowdsourcing tasks. CrowdSynth focuses on a class of crowdsourcing tasks for which the goal is identifying a hidden world state by accessing multiple workers. It uses machine learning and decision-theoretic optimization to leverage the complementary strengths of humans and computational agents to solve crowdsourcing tasks.
AGILE and EuroSDR invite researchers, national mapping & cadastre agencies and GIS professionals to participate in a 1½ day workshop to discuss the role of crowd-sourcing in the context of national mapping.
19th – 20th January, 2012, University of Nottingham, UK