Population informatics

The term was first used in August 2012 when the Population Informatics Lab was founded at the University of North Carolina at Chapel Hill by Dr. Hye-Cung Kum.

[2] The first Workshop on Population Informatics for Big Data was held at the ACM SIGKDD conference in Sydney, Australia, in August 2015.

[citation needed] Once relevant datasets are linked, the next task is usually to develop valid meaningful measures to answer the research question.

Common analysis methods include traditional hypothesis driven research as well more inductive approaches such as data science and predictive analytics.

The seminal article on computational social science is by Lazer et al. 2009[3] which was a summary of a workshop held at Harvard with the same title.

[4] The firstWorkshop on Population Informatics for Big Data was held at the ACM SIGKDD conference in Sydney, Australia, in 2015.