Machine Learning 95 (2014)
Special Issue: Computational social science and social computing
“In the era of “big data,” there is a need for machine learning to address important large-scale applied problems, yet it is difficult to find top venues in machine learning where such work is encouraged.
We discuss the ramifications of this contradictory situation and encourage further discussion on the best strategy that we as a field may adopt.
We also summarize key lessons learned from individual papers in the special issue so that the community as a whole can benefit.”
Machine learning for science and society – Cynthia Rudin · Kiri L. Wagstaff