Abstract
Mobile Tools for Community Scientists
Highlights
Strictly connected with the use of technologies (Grey, 2009) and which can be subclassified in: 2.1. volunteer computing, where citizens offer the unused computing resources of their computers; 2.2. volunteer thinking, where citizens offer their cognitive abilities for performing tasks difficult for machines; 2.3. passive sensing, where citizens use the sensors integrated into mobile computing devices to carry out automatic sensing tasks
Community science, involving a more significant commitment of citizens in designing and planning the project activities in a more egalitarian approach between scientists and citizen scientists (Jepson & Ladle, 2015; Nascimento, Guimarães Pereira, & Ghezzi, 2014; Breen, Dosemagen, Warren, & Lippincott, 2015), which can be divided into: 3.1. participatory sensing, where citizens use the sensors integrated into mobile computing devices to carry out sensing tasks; 3.2
Do It Yourself (DIY) science, which implies participants create their scientific tools and methodology to carry out their researches; 3.3. civic science, “which is explicitly linked to community goals and questions the state of things” (Haklay et al, 2018)
Summary
Passive sensing, where citizens use the sensors integrated into mobile computing devices to carry out automatic sensing tasks. Participatory sensing, where citizens use the sensors integrated into mobile computing devices to carry out sensing tasks; 3.2. It is an open-source suite of tools focused on simplicity of use, which includes an Android application for data collection.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
