On Wednesday, the tech giant announced the launch of Science for Social Good, a new program that partners IBM researchers with postdoctoral academic fellows and nonprofits to take on societal issues through data. With the new initiative, IBM announced 12 projects planned for 2017. Each Science for Social Good project aligns with one or more of the 17 Sustainable Development Goals, the United Nations’ blueprint to address some of the globe’s biggest inequalities and threats by the year 2030.

Science for Social Good covers issues like improving emergency aid and combating the opioid crisis, and the projects all use data science, analytics, and artificial intelligence to develop solutions.

One project is called Emergency Food Best Practice: The Digital Experience, which plans to compile emergency food distribution best practices and share it with nonprofits through an interactive digital tool. IBM will partner with nonprofit St. John’s Bread & Life to develop the tool based on the nonprofit’s distribution model, which helps the organization seamlessly serve more than 2,500 meals each day in New York City.

Another project is called Overcoming Illiteracy, which will use AI to allow low-literate adults to “navigate the information-dense world with confidence.” The project hopes to decode complex texts (such as product descriptions and manuals), ¬†extract the basic message, and present it to users through visuals and simple spoken messages. While this project doesn’t solve the global literacy crisis, it will allow low-literate adults engage with text independently.


Read more: IBM turns to artificial intelligence to solve poverty, hunger, and illiteracy