Crowdfunding was working, but for projects like iPod docks and video games. Could it also work to fund science, where the benefits of the donations are less tangible and perhaps, more abstract?

Overview: Free datasets are essential for practice, research, and AI model development.Platforms like Kaggle, UCI, and Google ...

The Allen Institute for AI (Ai2) will receive $152M from Nvidia and the NSF to lead a five-year project building fully open ...

1. Reliability A large data science project can be broken down by constructing a combination of sub-models that can be conjoined with one another or stacked.

A cornucopia of "volunteer computing" projects lets you donate some of the spare computational power on your desktop or laptop for an experiment.

So-called "100-year weather events" now seem almost commonplace as floods, storms and fires continue to set new standards for ...

There's no reason the diffuse resources and open process of the citizen scientist model need be applied only to science questions. For instance, Science Gossip is a Zooniverse citizen science project.

The same principle applies to data projects. Companies invest in the most advanced technology, build sophisticated data models and implement best-in-class analytics tools.

This method of crowdsourcing science legwork is ready to expand into other disciplines – and maybe the amateurs themselves can start calling some of the shots.