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Crowdsourcing is an increasingly popular technique used to complete complex tasks or collect large amounts of data. This report documents the effort to employ crowdsourcing using the Mechanical Turk service hosted by Amazon. The task was to collect labeling data on several thousands of short videos clips as such labels would be perceived by a human. The approach proved to be viable, collecting large amounts of data in a relatively short time frame, but required specific considerations for the population of workers and impersonal medium through which data were collected.  +
Lichens are sensitive to air pollution, specially the air's acidity. Therefore, the presence or absence can be used to see how clean the air is. The goal of this application is to help to analyze, classify and measure the size of the lichens in order to study the quality of air in different areas of the cities.  +
According to [ Wikipedia] (nov. 2013), the Amazon Mechanical Turk (MTurk) is a crowdsourcing Internet marketplace that enables individuals or businesses (known as Requesters) to co-ordinate the use of human intelligence to perform tasks that computers are currently unable to do. It is one of the sites of Amazon Web Services. The Requesters are able to post tasks known as HITs (Human Intelligence Tasks), such as choosing the best among several photographs of a store-front, writing product descriptions, or identifying performers on music CDs. Workers (called Providers in Mechanical Turk's Terms of Service, or, more colloquially, Turkers) can then browse among existing tasks and complete them for a monetary payment set by the Requester. To place HITs, the requesting programs use an open Application Programming Interface, or the more limited MTurk Requester site  +
The API allows programmers to use the Amazon mechanical turk API. Three types of people interact with Amazon Mechanical Turk: * Requesters, who creates and pays for the work done by Workers. They can create and advertise work using the Amazon Mechanical Turk command line interface or the Requester User Interface and thereby not need developers * Workers, who find and accept work advertised by Requesters * Developers, who create Amazon Mechanical Turk applications that Requesters and Workers use.  +
The Andromeda galaxy is the closest spiral galaxy to our own Milky Way. Using PHAT data from the Hubble Space Telescope we're hunting for star clusters in Andromeda and hidden galaxies that lie behind.  +
BOINC is a program that lets you donate your idle computer time to science projects like SETI@home,, Rosetta@home, World Community Grid, and many others. After installing BOINC on your computer, you can connect it to as many of these projects as you like.  +
The BOINC server software (scheduler, data server, web pages) are installed on computers owned and managed by the projects to which you will donate time on your computer.  +
Bat Detective is an Zooniverse citizen science project which asks the public to turn detective to find bat calls in audio recordings across the world  +
Every plant tells a story. Whether you have an afternoon, a few weeks, a season, or a whole year, you can make an important contribution to better understand changing climates in your area. Our web site provides everything you need to get outside, make reports, and share what you find with others. Sign up and start making Project BudBurst observations today. We are looking forward to learning more about the stories your plants can tell. Simply register, select a plant(s), make regular observations of your plants throughout the seasons and submit your data. By choosing this approach, you benefit from having permanent site records that can be compared from year to year. If you are traveling, planning a hike, or can't make regular visits to a site, Single Reports may be the right approach for you. Register, select a plant, make a one-time observation of your plant, and submit your data.  +
'''CS4CS''' stands for '''Citizen Science for Citizen Science'''. It describes what you are looking at, i.e. the collection of forms, templates and queries that can be accessed from this wiki's [[Portal: citizen science]] page. This protect is sponsored by the EU FP 7 [ Citizen CyberLab]. Its aim is to collect information about Citizen Science Projects that are of interest to citizen science researchers but also to the public at large. See also: [[CS4CS technical documentation]]  +
Celebrate Urban Birds engages urban and rural residents in science, cultural, and community activities related to birds. Participants receive or download a free kit with posters, flower seeds, and data forms, then observe a small, defined bird-watching area for 10 minutes and report on the presence or absence of 16 species of birds. ([ Citizen Science Program], The Cornell Lab of Ornithology, retrieved Sept. 24 2013)  +
Crowdsourced analysis of cancerous tissue: using images from Cancer Research UK volunteers help to classify archived cancer samples.  +
Citizen Sort is a website that contains tools and games to classify various species of insects, animals, and plants.  +
Several Citizen Science projects are custom made, i.e. do not rely on software packages that does "most of the job".  +
This is just a project description that can be used for testing .... At some point it will be removed....  +
Cornell Lab develops interactive online tools to engage hundreds of thousands of people in contributing bird observations and exploring the results.  +
CrowdCrafting is a free, open-source crowd-sourcing and micro-tasking platform powered by the PyBossa software. This platform enables people to create and run projects that utilise online assistance in performing tasks that require human cognition such as image classification, transcription, geocoding and more. CrodCrafting is there to help researchers, civic hackers and developers to create projects where anyone around the world with some time, interest and an internet connection can contribute. ([ about], retrieved 19:02, 14 October 2013 (CEST))  +
According to [ Wikipedia] (10/2013), The ESP Game is an idea in computer science for addressing the problem of creating difficult metadata. The idea behind the game is to use the computational power of humans to perform a task that computers cannot do (originally, image recognition) by packaging the task as a game. It was originally conceived by Luis von Ahn of Carnegie Mellon University. Google bought a licence to create its own version of the game in 2006 called "Image labeler" in order to return better search results for its online images. Google's version was shut down on September 16, 2011 as part of the Google Labs closure in September 2011.  +
Einstein@Home is a World Year of Physics 2005 and an International Year of Astronomy 2009 project supported by the American Physical Society (APS) and by a number of international organizations. Einstein@Home uses volounteers computer's idle time to perform physical calculations.  + provides a web and mobile app for the generation of forms (questionnaires) and freely hosted project websites for data collection. Data are collected (including GPS and media) using multiple phones and all data can be viewed centrally (using Google Maps / tables / charts).  +