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Crowdsourcing and data integration algorithms represent an evolving interdisciplinary field that combines human intelligence with computational methods to enhance data processing and decision support.
Crowdsourcing is transforming how we monitor ecological challenges by harnessing the collective efforts of individuals, communities and organizations. This approach generates extensive and diverse ...
As companies struggle to adopt artificial intelligence technology and offer more personalized, intuitive services to customers, demand for data scientists continues to soar. When LinkedIn tried to ...
In an era of tight public budgets, cities need all the help they can get. Crowdsourcing is one strategy that cities can adopt to enlist the help, knowledge and time of their citizens. Applications ...
In early February, the Intelligence Advanced Research Projects Activity (IARPA) announced a multi-year effort to develop and test collaboration methods to improve reasoning. The Crowdsourcing Evidence ...
Forbes contributors publish independent expert analyses and insights. I cover the digital reinvention of retail and consumer products. Traditional approaches to fighting counterfeiting have often felt ...
Monitoring progress on our way to successfully achieving the Sustainable Development Goals (SDGs) is key to their achievement, but there are significant data gaps that make this crucial exercise ...
Data produced by Internet users can help to speed up the detection of earthquakes. An international team of scientists has presented a method to combine in real time data from seismic networks with ...
A San Francisco company with a D.C.-area presence that pays people to snap photos of products on store shelves and record observations, such as prices in their local markets, is expanding. Premise ...
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