We started the DEAIC - Data Envelopment Analysis International Conference in the summer of 2016. The main objective of DEAIC is to position DEA as a
data-oriented data science
tool for productivity analytics, benchmarking, performance evaluation,
and developing composite indexes, among other new uses, in addition to the traditional uses such as, production efficiency and productivity measurement.
We seek new DEA developments that are tailored for big data research and data analytics.
DEA is a Data Science tool. We know DEA stands for Data Envelopment Analysis. As OR/MS is moving into the area of Operations Analytics, our DEA is evolving into D
nalytics. For example, a number of DEA special issues have featured DEA and Data Analytics.
While our research still bears the wonderful name of DEA, researcher and scholars around the global have already recognized its
new power in the era of big data research. Our conferences (DEAIC) intend to lead the efforts to showcase and push the research frontier of new DEA.