Crowdsourcing Data Analysis

Large data sets such as collections of scanned documents or images from camera traps can be hard to analyze automatically. “Volunteer Thinking” where participants help classify images, text, audio or video, is a widespread form of crowdsourcing, which is already applied in fields related to sustainable development. For example, analyzing satellite imagery to detect deforestation or social media streams about natural disasters to filter useful information for first responders.

 

Map drilling and hydraulic fracturing (fracking) across the United States to help build a comprehensive map of fracking infrastructure so that researchers can study the environmental and public health implications.

Improve transparency around oil contracts by understanding who is behind the contracts, who is controlling hundreds of subsidiaries, and by creating a corporate network map to better understand issues such as beneficial ownership and  tax avoidance.

Map drilling and hydraulic fracturing (fracking) across the United States to help build a comprehensive map of fracking infrastructure so that researchers can study the environmental and public health implications.

Mapping the presence of sidewalks is streets allows a wider variety of applications to make use of OpenStreetMap data effectively, such as planning routes for people with reduced mobility and wheelchair users.

This project investigates what information about drought symptoms can be extracted from photos taken during field assessments. Images in this project come from FAO SWALIM on Flickr. (GeoTag-X).

A project initiated by The Guardian in Australia to investigate the register of interests - political gifts and investments in New South Wales..

In this Icelandic data journalism project a few hundred enthusiasts parsed a huge database of scanned PDFs to see whether there are links between which way judges in that country vote, and how often they incarcerate. (In Icelandic)

The revenues and expenditures for the municipality of Seville have been published as PDF documents. The project wants to transcribe the data from the PDF to a spreadsheet and arrange them in a set of transparent views for citizens. (In Spanish)

Digital Humanitarian Network made Micromappers to verify whether tweets and other social media data about natural disasters like typhoons contains useful information.