Beyond Sensors: Curating Ancillary Data for Carbon-Climate Science


October 17, 2009


Catharine van Ingen and Deb Agarwal


Microsoft Research, Lawrence Berkeley National Laboratory



Catharine van Ingen and Deb Agarwal

Catharine has a wealth of experience in hardware, including work with the Alpha machine and MIPS processor teams, and in industrial-strength software for algorithms used to manage water flows, logging data from particle accelerator detectors, and buying Mickey Mouse watches over the Internet.

Deb Agarwal is Advanced Computing for Science Department Head and the Data Intensive Systems Group Lead at the Lawrence Berkeley National Laboratory. As a member of the Berkeley Water Center collaboration between University of California, Berkeley, and Lawrence Berkeley National Laboratory, Dr. Agarwal leads a team developing data server infrastructure to significantly enhance data browsing and analysis capabilities and enable eco-science synthesis at the watershed-scale to understand hydrologic and conservation questions and at the global-scale to understand carbon flux. Dr. Agarwal’s research focuses on scientific tools that enable sharing of scientific experiments, advanced networking infrastructure to support sharing of scientific data, and data analysis support infrastructure for eco-science. Dr. Agarwal holds a PhD in Electrical and Computer Engineering from University of California, Santa Barbara and a BS in Mechanical Engineering from Purdue University.