TheÂ Defense Advanced Research Projects Agency has launched itsÂ Data-Driven Discovery of Models program that aims to automate aspects of data scienceÂ to help non-experts construct their own empirical models.
DARPA said Friday D3M looks to address aÂ data science expertise gap the agency says is reflected by lack of results forÂ predictive questions among popular search engines.
“The construction of empirical models today is largely a manual process, requiring data experts to translate stochastic elements, such as weather and traffic, into models that engineers and scientists can then ask questions of,” said Wade Shen, aÂ DARPA program manager in the information innovation office.
“We believe itâs possible to automate certain aspects of data science, and specifically to have machines learn from prior example how to construct new models.”
Shen added D3M aims to cover theÂ basics of model development to open opportunities forÂ human intelligence among users with no data science background.
DARPA noted it projects aÂ deficit ofÂ 140,000 to 190,000 data scientists globallyÂ in 2016.