The Union of Concerned Scientists’ Science for Public Good Fund offers grants up to $1,500 to support science in service to the public, making it ideal for a wide range of data for good advocates and projects.

David Corliss says that, by awarding the Peace Award to Kutner, the ASA has honored a person dedicated to strengthening the statistical profession and statisticians for generations to come.

Karl E. Peace embodies the humanitarian spirit of “Data for Good,” citing adversities in his life as opportunities to push his career to greater heights.

ASA Science Policy Fellow Daniel Elchert helps answer the question: What is our federal data infrastructure, and when and how might statisticians go about advocating for this system as a means to leverage data for the public good?

Statistics Without Borders volunteers describe a well-rounded SWB experience and some of what they have learned.

We interviewed three statisticians who strive to change the world through data. We asked them who inspired them, why they became statisticians, and how data science is changing the world.

Sarah Warner offers up tips to help Data for Good statistician-advocates.

Pro bono—literally “for good”—service has become more common in statistics and data science in recent years. Often called “Data for Good,” this growing movement has been embraced by individuals, companies, and professional associations. A number of organizations have sprung up to design and manage statistical volunteering projects, recruiting volunteers and connecting them with projects and organizations that will benefit from analytic support.

One of the great aspects of data for good is that the technology never stands still. For some ideas and inspiration, David Corliss outlines a few examples of where Data for Good tech is leading the way.

The Human Rights Data Analysis Group (HRDAG) uses data science to answer questions about human rights on a large scale, from determining chain of command and accountability in international cases of genocide to evaluating whether artificial intelligence–based tools used by the US criminal justice system are fair.