Sentence examples for improved data and from inspiring English sources
The bulk of the error is associated with noise in the data, so future improvements to the model are likely to result from improved data and a longer length of record with a larger model n.
The ultimate goal of this effort is to enable enhanced public policy responses to air pollution by linking improved data and measurement methods to decision-making through the development of indicators that can allow policymakers to better understand the impacts of air pollution and, along with source attribution based on modeling and measurements, facilitate improved policies to solve it.
Because these assets are so expensive, the value of shortening the time from vacancy to occupancy through improved data and information flow between owners and brokers makes investment in information technology a no-brainer.
The new platform is designed to meet the needs of the multi-store environment, with tools to manage, customize, and be able to better understand their ongoing programs, as well as improved data and analytics.
As new leaders take office in coming months in the U.S., at the UN, and in other countries, we will work to promote increased political attention to SDG implementation, improved data and accountability, institutional changes, and a priority focus on excluded groups.
One of the five ENAP strategic objectives - to count every newborn (and birth) - underlines the need for improved data and accountability.
Called Instedd, for Innovative Support to Emergencies, Diseases and Disasters, the group seeks to improve data and communication networks.
As such, support for improving data and statistics is minuscule, compared to other policy areas such as education and health.
But because improving data and statistics requires a long-term investment, will the 15-year time frame be long enough?
Regional efforts to coordinate data collection and analysis across states could improve data and thus lead to new findings.
CDC and its partners are currently identifying data needs of their constituents and evaluating mechanisms and costs for improving data and filling data gaps.
