Extreme Citizen Science (ExCiteS)

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PhD Studentship Opportunity

The EPSRC funded project “Challenging RISK: Achieving Resilience by Integrating Societal and Technical Knowledge” focusses on aspects of earthquake, fire hazards and community engagement. Within this project there is an opportunity for a suitable candidate to be funded for a PhD studentship. The studentship will be supervised by Professor Mordechai (Muki) Haklay (with further support and guidance from Patrick Rickles) and will start in the autumn of 2014, within UCL’s Extreme Citizen Science group (http://www.ucl.ac.uk/excites).  For more information click here. More...

Published: Jul 10, 2014 5:32:36 PM

Two new Blog posts

Read our two new blog posts about our research trip in Congo-Brazzaville: Participatory Mapping in Congo-Brazzaville (Part 1) and Participatory Mapping in Congo-Brazzaville (Part 2): Usability experiments More...

Published: Jun 28, 2013 11:08:27 AM

New Opportunity

Senior Developer at the Extreme Citizen Science (ExCiteS) group (UCL). More...

Published: May 5, 2013 8:26:40 AM

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Our Interdisciplinary Approach

For 'Extreme' Citizen Science projects to succeed, a narrow disciplinary knowledge is not enough. It requires the engagement of communities, overcoming many technical and human-technology interaction challenges and the ability to deliver practical solutions, in addition to an understanding of the questions surrounding the science of Citizen Science. Our interdisciplinary group achieves this by drawing on the knowledge of geographers, anthropologists, computer scientists, Human-Computer Interaction experts, designers, electronic engineers, ecologists and other fields. 

We focus on participatory sensing, monitoring and modelling activities, with communities deciding what measurements are taken and how they are analysed so that they can participate in and lead subsequent decision-making and actions. We aim to change the current state of the art by developing technologies to enable lay people to understand and manage their environment with established scientific methods and models.


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Page last modified on 19 feb 14 18:36