Property:Has participant task description

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'''Recognition Task: Crowdsourced Study subproject''' For each task, also known as a stimulus, a vignette was displayed along with a verb question (“Do you see [verb] ?”) and the verb definition. Workers responded to a single verb question with a present/absent judgment  +
Mark interesting features with circles and crosses.  +
Participants are required to differentiate between a bat and a non-bat call, the different types of calls and what sequence a call belongs in.  +
Participants create and complete forms about * Citizen Science projects * Citizen Science infrastructures * Citizen Science software.  +
Participants have to: * Pick a precise area; * watch birds during 10 minutes (can be repeated); * fill in a report sheet containing a list of 16 birds observed and not observed * send in the report form electronically or on paper.  +
Analysis of images of cancerous tissue, more precisely, determining the number and type of cancerous cells.  +
User just play around with randomness since this project does not really exist  +
* Register with the Evolution MegaLab. * Print off pdfs to take out into the field. These provide information on how to conduct a snail hunt and identify banded snails: How to hunt banded snails PDF, Adult vs. Juvenile snails: How to tell them apart PDF, Recording sheet PDF * Take part in the banded snail identification quiz to test your knowledge on identifying banded snails. * Log in to the website to access the quiz link. * Go on a hunt for banded snails in your garden or local park and record your results online.   +
The Congo project comprises several projects using different technology over time.  +
The player's task is to select the areas that the AI missed, thus improving the trace of the neuron. In the interface, a three-dimensional view shows the trace of the neuron through the volume, while the player can scroll up and down in the two-dimensional slices to follow the path. The player clicks on areas in the slices to add them to the trace. The AI automatically fills in the parts of the neuron that it detects are part of the player's clicked area. Once the player has decided the task is complete, the player submits the task and is presented with another task.  +
Volunteers users have to work with images taken by the Sloan Digital Sky Survey program. They decide whether the galaxies are elliptical or spiral and report if they have features like having spiral arm pattern bar or have undergone transformations. Volunteers can also decide to discuss image wich will appear then on a community wall.  +
There are three ways volunteers can contribute to GeoTag-X: 1) by analysing photos being collected in the projects – volunteers are asked to answer some short questions to assess what do they see in the photos they are presented with, and often to geolocate the photo; 2) by finding and sending new relevant photos for the projects currently hosted on the platform either with the [ GeoTag-X Photo Collector] extension for Google Chrome (for enabled projects) or by [ email]; 3) by contributing to the code through the [ GeoTag-X's GitHub repository].  +
The participant is presented with a word. He/she then has to type in an associated word.  +
Transcribing museum records to obtain historical biodiversity data.  +
Phénoclim relies on a network of observers spread over all the Alpine peaks between 200 and 2200 m altitude. * 10 plants are followed. * 3 of each must be observed within an area of 500m, plants must be 5m a part and reach a certain size * the site must be described using a list of characteristics * Five events are monitored (sprouts (?), leaves, flowers, change of color, falling leaves). During these data collection periods, sites must be visited every 8 days * For each of these events, several data must be collected ...  +
Measuring and classifying plankton.  +
Scanned text is subjected to analysis by two different optical character recognition programs. Their respective outputs are then aligned with each other by standard string-matching algorithms and compared both to each other and to an English dictionary. Any word that is deciphered differently by both OCR programs or that is not in the English dictionary is marked as "suspicious" and converted into a CAPTCHA. The suspicious word is displayed, out of context, along with a control word already known. The system assumes that if the human types the control word correctly, then the response to the questionable word is accepted as probably valid. ([ Wikipedia], retrieved July 2013)  +
Mark gravitational lenses  +
In order to run the collision simulations you will need to install two key applications in your computer: * VirtualBox * BOINC client Finally, you will have to attach your computer to the project  +
Mark images with circles and flags, annotate them with categories.  +