Articles tagged with Big Data
Researchers at UW and PNNL will collaborate on advanced computer system designs, accelerating data-driven scientific discovery and improving computational modeling and simulation. The institute aims to solve pressing problems like climate change, energy management, and disease determination.
Researchers at Iowa State University are working on a project to help biologists cope with the challenges of big data in plant biology. The team has developed a microsystem instrument that can precisely control the environment for thousands of plants, allowing scientists to analyze the impact of different factors on plant growth.
The new Big Data journal will publish peer-reviewed content on novel technologies, policies, and innovations in the field. It aims to facilitate collaboration among researchers, analysts, and business leaders to address challenges and discover breakthroughs in big data.
Rutgers receives funding for two projects: one to speed information retrieval from large databases and another to improve scientific literature search accuracy. The projects aim to extract useful information from massive collections of data, with potential applications in fields like physics, psychology, and medicine.
Computer scientists at Brown University have been awarded $1.5 million to develop new algorithms and statistical methods for analyzing large genomic datasets. The project aims to identify genetic mutations that drive cancer by comparing gene sequences of healthy tissue to those of cancerous tissue.
Researchers at Iowa State, Virginia Tech, and Stanford University aim to develop techniques for analyzing large-scale data analytics from high-throughput DNA sequencing. The project will utilize the NSF-funded HokieSpeed supercomputing instrument to improve genome analysis and identify mutations relevant to cancer.
The NSF invests nearly $15 million in new Big Data research projects to develop new tools and methods for extracting knowledge from large data sets. These grants aim to accelerate progress in science and engineering research and innovation.
Penn State researchers are creating a new training program for doctoral students in Big Data Social Science, with the help of a $3 million NSF grant. The program aims to equip scientists with tools to address the challenges of massive and complex socially generated data.
The University of Texas at Arlington is developing a universal version of the PanDA workload management system, funded by a $1.7 million grant from the US Department of Energy. The new software aims to improve the analysis of large datasets in particle physics and other fields.
The new peer-reviewed journal Big Data will facilitate discussions on harnessing big data to solve global problems. It aims to bring together researchers, analysts, and policymakers to address the challenges and discover breakthroughs in big data technologies, policies, and innovations.