since 2012 which focused on the use of crowdsourcing for policy purposes. These include experimentally investigating the use of Virtual Labor Markets for policy assessment, and assessing the potential for citizen involvement in process innovation for public administration. Governments across the world are increasingly using crowdsourcing for knowledge discovery and civic engagement. Iceland crowdsourced their constitution reform process in 2011, and Finland has crowdsourced several law reform processes to address their off-road traffic laws. The Finnish government allowed citizens to go on an online forum to discuss problems and possible resolutions regarding some off-road traffic laws. The crowdsourced information and resolutions would then be passed on to legislators to refer to when making a decision, allowing citizens to contribute to public policy in a more direct manner. Palo Alto crowdsources feedback for its Comprehensive City Plan update in a process started in 2015. The House of Representatives in Brazil has used crowdsourcing in policy-reforms. NASA used crowdsourcing to analyze large sets of images. As part of the Open Government Initiative of the Obama Administration, the General Services Administration collected and amalgamated suggestions for improving federal websites. For part of the Obama and Trump Administrations, the We the People system collected signatures on petitions, which were entitled to an official response from the White House once a certain number had been reached. Several U.S. federal agencies ran inducement prize contests, including NASA and the Environmental Protection Agency. Language-related data Crowdsourcing has been used extensively for gathering language-related data. For dictionary work, crowdsourcing was applied over a hundred years ago by the Oxford English Dictionary editors using paper and postage. It has also been used for collecting examples of proverbs on a specific topic (e.g. religious pluralism) for a printed journal. Crowdsourcing language-related data online has proven very effective and many dictionary compilation projects used crowdsourcing. It is used particularly for specialist topics and languages that are not well documented, such as for the Oromo language. Software programs have been developed for crowdsourced dictionaries, such as WeSay. A slightly different form of crowdsourcing for language data was the online creation of scientific and mathematical terminology for American Sign Language. In linguistics, crowdsourcing strategies have been applied to estimate word knowledge, vocabulary size, and word origin. Implicit crowdsourcing on social media has also approximating sociolinguistic data efficiently. Reddit conversations in various location-based subreddits were analyzed for the presence of grammatical forms unique to