The use of collaborative maps in crisis situations is not new (Kenya in 2008, Haiti in 2010, etc.), and the Covid19 pandemic has brought them back into focus. These maps are a clear example of collective intelligence and are used to geolocate information that can be useful for citizens and for government agencies, whether local or national, that try to deal with the situation.
Category: collective intelligence
Will algorithms and Artificial Intelligence beat crowdsourcing and Collective Intelligence?
Within the possible applications of crowdsourcing, I am currently researching about its use for communicating and reporting crimes. This research is allowing me to observe the evolution of different platforms, evolution that in some cases implies the abandonment of the crowd to draw upon the AI.
10 lessons from Conficker Working Group
The Conficker Working Group (C.W.G.) work allowed to study and analyze the use of collective intelligence as a way to fight against certain types of malware. In this post I summarize some of the lessons learned thanks to their experience, which are applicable to collective intelligence initiatives that involve large groups of people.
Collective Intelligence Vs Malware: Conficker Working group
Crowdsourcing can be applied in many and diferent areas. One of these, that is getting more importance ultimately because how it affects the day to day of people, is cibersecurity. Also in this area, crowdsourcing, although unconscientenly, has been used to fight against malware.