RENCI collaborates on award-winning paper

Paper authors (from right) Justin Zhan, Howard Lander, and Arcot Rajasekar with one of the conference's keynote speakers, Tom Mitchell of Carnegie Mellon's School of Computer Science.

Paper authors (from right) Justin Zhan, Howard Lander, and Arcot Rajasekar with one of the conference’s keynote speakers, Tom Mitchell of Carnegie Mellon’s School of Computer Science.

Congratulations to RENCI staff Arcot Rajasekar, Sharlini Sankaran, and Howard Lander, whom, along with other collaborators, won the best paper award at the ASE/IEEE International Conference on Big Data! The conference paper acceptance rate is  8.5%, and their paper, entitled “The data bridge: Sociometric methods for long-tail scientific data”, was one of only two winners of the award.

The ASE/IEEE Conference was held in Washington D.C. from Sept. 8-14, and brought together scientists, researchers and scholars to exchange and share their experiences and research results in Advancing Big Data Science & Engineering.