Crowdsourcing biomedical research: leveraging communities as innovation engines
Crowdsourcing the analysis of complex and massive data has emerged as a framework to find robust methodologies. When the crowdsourcing is done in the form of collaborative scientific competitions, known as Challenges, the validation of the methods is inherently addressed.
Separating the true signal from the gigantic amount of noise is neither easy nor straightforward, but it is a challenge that must be tackled if information is ever to be translated into societal well-being.
Five hundred million tweets are broadcast worldwide every day on Twitter. With so many details about personal lives, the social media site is a data trove for scientists looking to find patterns in human behaviors, tease out risk factors for health conditions and track the spread of infectious diseases.
There is no doubt that big data is a valuable tool that has already had a critical impact in certain areas. But because of its popularity, we need to be levelheaded about what big data can and can’t do.