Embracing Statistical Challenges in the Information Technology Age
主 题: Embracing Statistical Challenges in the Information Technology Age
报告人: Prof.Bin Yu (University of California at Berkeley)
时 间: 2006-07-20 上午 10:00 Thursday
地 点: Rm. 703, Xi-yuan Building, Inst of Systems Sciences,CAS.
摘要："Computer science concepts provide levels of abstraction allowing scientists from different fields to understand and learn
from each other\'s solutions, and ultimately for scientists to acquire
a set of widely applicable complex problem solving capabilities,
based on the use of a generic computational environment."
-- 2020 Science Report by a Team of Internationally Distinguished Scientists
In this talk, we attempt to envision the role of statistics in the framework postulated by the 2020 Science team. First we examine the diverse sources of IT data in three clusters: IT core, IT systems, and IT fringe. Then we constrast the new data forms, huge data volumes, and high data speeds of IT against the constraints on storage, transmission and computation to point to the challenges and opportunities for statistics.
We end with the conclusion that statistics should provide the
intelligence behind the 2020 generic computational environment
for understanding data and forging new frontiers of science.
