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{{Citizen science project |field_project_name=GeoTag-X |field_project_access_URL= |field_screenshot=GeoTag LOGO.png |field_software=Pybossa |field_project_start_date=2012/10/01 |field_project_open=Yes |field_subject_areas=Natural sciences, Engineering and technology, Social sciences, Humanities |field_cs_subject_areas=environment/climate |field_fields_of_science=Environmental sciences, Disaster risk reduction, GIS, |field_project_description=GeoTag-X is an open source platform set up by UNITAR-UNOSAT within Citizen Cyberlab to engage and educate volunteers all around the world in analysing media coming out of humanitarian crises and natural disasters. GeoTag-X aims to produce datasets that can be used in relief and recovery efforts by humanitarian and disaster response agencies, both within and outside the United Nations system.

Large quantities of media, including photos and videos, are often generated during disasters and humanitarian operations. UNITAR-UNOSAT believes this media can complement existing efforts at gathering data to summarize disaster impacts and humanitarian response. With the GeoTag-X platform, we seek to gather all the relevant media coming out of a disaster situation or humanitarian operations, and to crowdsource analysis of that media so it can be used by the international community.

GeoTag-X is built on the open source PyBossa and all code developed for GeoTag-X is made available on [GitHub. GeoTag-X currently hosts 14 projects covering various disaster-related topics. Some of these were simply developed as test cases as we implemented new ideas and code, and almost all of them have been developed in collaboration with external organizations and agencies such as the REACH Initiative, UNFAO Somalia, and Yamuna’s Daughter, a project by Women for Sustainable Cities. |field_purpose_of_project=The goals of the GeoTag-X project include:

- helping disaster response and humanitarian operations by providing meaningful datasets extrapolated from media analysed by volunteers;

- complementing UNITAR-UNOSAT’s satellite imagery work by providing rich, locally acquired media of areas being analysed.

To ensure that the data produced by GeoTag-X is useable by the international community, the data structure is being designed based on existing data collection methodologies such as assessments and field assessment surveys. Ideally, the data produced by GeoTag-X will therefore be created and delivered in accordance with international practice for easiest use.

The primary aim of GeoTag-X therefore was to develop a system, tools, and methodology for facilitating the harvesting and analysis of photos, and the creation of datasets that could be used by humanitarian organisations in their response to different disasters. In order to be successful in this aim we need to transfer the expertise from knowledgeable individuals to the crowd to give them the skills to be able to:

1. Identify relevant photos

2. Conduct detailed analysis of those photos and/or categorise those photos according to simple classification rules to make them accessible and useful to disaster responders

3. Georeference that content as precisely as possible |field_research_questions=To assess whether or not such a set of tools and methodology can be used in disaster response, and if so, in what context, the GeoTag-X has been set out to answer the following questions:

1. What content can be discovered online that might prove useful to disaster response and that is not already being categorised and georeferenced?

2. What sort of advanced details can be gleaned from that content from a variety of scientific fields, and how can the expertise for determining such details be shared?

3. How can the crowd be applied to rapidly generate this information in formats compatible with different disaster response information systems?

4. How can the software help the volunteers learn the process, understand and make associations? |field_location_of_activities=Worldwide, but the main team is based at CERN, Geneva, Switzerland |field_team_leadermm=Eleanor Rusack |field_main_institution=UNOSAT |field_partner_institutions=Citizen Cyberlab |field_contact_person_URLs= |field_team_location=Geneva, Switzerland |field_participant_task_description=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. |field_Haklay_typology=crowdsourcing |field_volonteer_computing=no |field_volonteer_thinking=yes |field_volonteer_sensing=no |field_volonteer_gaming=no |field_data_types_to_manipulate=pictures |field_participant_contribution_type=data collection, data analysis |field_gaming_elements=other |field_interaction_with_objects=There are four different learning tools on GeoTag-X.

When they first start a project, volunteers are presented with a short tour that has been built into the project template to explain what each section is and what the volunteer is expected to do. The tour also points out helpful tools, like the zoom function on the photo and the link to the photo source. The tour is only shown to the volunteer on their first time accessing a project because the interface for the different projects is standardized, therefore once they learn one they can use them all.

Each project has also a built-in tutorial that is being presented to every Analyst on his or her first time contributing to a project. The tutorial gives a condensed explanation of why each questions is being asked on the project, along with examples of what to look for in the photos. Volunteers have also the option to read an help box that gives more information about how to better answer the questions they are presented with.

Finally, a source link is provided under each photo to let the volunteers access the page where the photo has been taken from. |field_interface_attractivity=cool/attractive |field_interface_usability=easy to use |field_tutorials_documentation=yes |field_peer_to_peer_guidance=yes |field_training_sequence=strong |field_individual_performance_feedback=somewhat |field_collective_performance_feedback=somewhat |field_research_progress_feedback=yes |field_member_profiles=minimal |field_member_profile_elements=photo, pseudo, activity metrics |field_community_tools=website, blog, newsletter, forum |field_number_of_forum_members=402 |field_has_community_manager=N/A |field_project_news_updates=N/A |field_project_news_site=,, |field_socialsoftware_sites=Twitter |field_event_types=Hack Days, other |field_community_roles=Problem solving (photo analysis), Forum participation, Code contribution, |field_team_work=N/A |field_last_edition=2015/12/08 }}