The project, named "Splash," will outline what actions can be taken to improve human health by connecting and analyzing enormous collections of data from a wide variety of seemingly unrelated sources. The project will initially focus on childhood obesity.

Researchers said they will combine and analyze massive data sources that have never been integrated to simulate the cause-and-effect relationships between agriculture, transportation, city planning, eating, exercise habits, socio-economic status, family life and more. IBM said predicting real-world reactions that influence human health will provide fact-based recommendations of actions to take or avoid.

"We hope the results of this project will help individuals, governments and businesses actually understand exactly how the actions they take affect health -- and then work together to make better decisions that make it easy to be healthy," said Dr. Martin Sepulveda, the vice president of IBM's Integrated Health Services.

Paul Maglio, an IBM research scientist, said the data and models exist, but need to be put together in a way that shows the wider connections and potential actions that can enhance individual and community health.

"We believe our expertise in service science, computational modeling, math and large-scale analytics can help answer these important questions," Maglio said.

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