Sentences with phrase «scale data systems»

According to the report, most large - scale data systems that include information on undergraduate students are built to track students in a pipeline model, focusing primarily on full - time or first - time students.

Not exact matches

Since his hire, Miles has scaled DSC's engineering team to over seventy five engineers and data scientists, built an Enterprise Information Systems team, rolled out an agile practice and prepared the platforms for global expansion.

All other systems, including the price scale code for Tapes B and C market data, are operating normally.»

(SolidFire offers all - flash systems with a focus on scale - out storage for data centers.)

During this time, it's crucial to develop a solid infrastructure that will protect your intellectual property, manage complex data systems, and ensure that you can scale up without any major glitches.

Beth Israel's Halamka said that many of the 250,000 patients in his system had data from sources such as Jawbone's Up activity tracker and wirelessly connected scales.

In the context of China's expanding influence and attempts to gain competitive advantages against the United States, the report notes that «China is investing billions of dollars in infrastructure across the globe» as it «exploits data on an unrivaled scale and spreads features of its authoritarian system.»

Just as with other recent large - scale data manipulations, from the recent Strava app fiasco to the widescale distribution and spread of fake news on social media, Cambridge Analytica didn't «hack» our internet usage and our Facebook information so much as exploit the way the system was naturally designed to work.

What's also crystal clear is that rules and systems designed to protect and control personal data, combined with active enforcement of those rules and robust security to safeguard systems, are absolutely essential to prevent people's information being misused at scale in today's hyperconnected era.

Pyramid 2018 is a tier one, enterprise - grade Analytics Operating System that scales from single - user self - service analytics to thousand - user centralized deployments — covering simple - but - effective data visualizations to advanced machine learning capabilities.

These challenges have uncovered the scale of data - sharing and cooperation between government departments, public services, and even charities in a system that dehumanises and degrades human beings.

Making the Case: Investigating Large Scale Human Rights Violations Using Information Systems and Data Analysis.

While large - scale climate research models offer a systems view of what the transport sector, for example, could contribute to climate protection in comparison to the energy sector, the study presented in Science, however, examines transport - related issues within the sector by using more recent and more specific data on how people commute and travel.

Better predictions would require improved climate - measurement tools, more sophisticated climate models that work on regional scales, and a better organized system to integrate all the data, the report concludes.

What is more, «we are investigating Semantic Web technologies because traditional approaches for data integration, knowledge management and decision support will not scale to what is needed for personalized medicine,» says John Glaser, chief information officer at Partners HealthCare System in Boston.

But Jacob Taylor, a physicist at the National Institute of Standards and Technology in Gaithersburg, Maryland, says it provides experimental data for «a quiet revolution» in statistical physics, the study of how heat flows both in microscopic systems and on the scale of everyday life.

But mimicking large - scale systems precisely is often a challenge, and the lack of quantitative consistency between the two disciplines makes data comparison difficult and answers more elusive to researchers.

At the meeting, attendees discussed four broad goals for the proposed Observatory: expanding access to large scale electron microscopes; providing fabrication facilities for new, nanosized electrode systems; developing new optical and magnetic resonance brain activity imaging technologies; and finding new ways to analyze and store the staggering amount of data detailed brain studies can produce.

A strategic focus is to continue to develop computational tools (such as KinomeXplorer, NetworKIN, and NetPhorest) and to deploy these on genome - scale quantitative data obtained by, for example, mass spectrometry, genomic, and phenotypic screens to understand the principles of how spatio and temporal assembly of mammalian signaling networks transmit and process information at a systems level in order to alter cell behavior.

But what makes the new survey all the more unnerving is that until now, very few studies have combined the considerable body of existing geographic - information - system and remote - sensing information and ape population data on such a scale.

To help first responders and others to gain this understanding, NIST is developing both an in - the - field, two - tiered system for collecting data after WUI fires and a WUI Hazard Scale for predicting and mapping the ranges of exposure risks to fire and embers from a WUI event throughout a community.

His own project, FuturICT, envisioned a «planetary nervous system» to collect and analyze data on a large scale in order to model society and predict epidemics or the next financial crisis.

A new integrated climate model developed by Oak Ridge National Laboratory and other institutions is designed to reduce uncertainties in future climate predictions as it bridges Earth systems with energy and economic models and large - scale human impact data.

A new integrated computational climate model developed to reduce uncertainties in future climate predictions marks the first successful attempt to bridge Earth systems with energy and economic models and large - scale human impact data.

The end result, called Adaptable Seismic Data Format (ASDF), leverages the Adaptable I / O System (ADIOS) parallel library and gives Tromp's team a superior file format to record, reproduce, and analyze data on large - scale parallel computing resourData Format (ASDF), leverages the Adaptable I / O System (ADIOS) parallel library and gives Tromp's team a superior file format to record, reproduce, and analyze data on large - scale parallel computing resourdata on large - scale parallel computing resources.

Scientists are involved in the evaluation of global - scale climate models, regional studies of the coupled atmosphere / ocean / ice systems, regional severe weather detection and prediction, measuring the local and global impact of the aerosols and pollutants, detecting lightning from space and the general development of remotely - sensed data bases.

Objective: To provide data - driven and computational infrastructures and data - sharing platforms to support large - scale, system - level data integration and modeling, and enable predictive biology for pathogens and host - pathogen interactions for discovery research, clinical investigation, and therapeutic development for infectious diseases.

Bianca is Sweden's first computer system for secure processing of large - scale sensitive data.

It's a demonstration - scale system that's meant to help prove the characteristics of the technology and collect data about how it works.

«So it's kind of interesting to look at the Kepler data set and see almost scaled - down versions of our solar system.»]

One way that we're addressing these challenges is by building informatics systems and web - based tools that enable clinicians and scientists around the world to analyse and share data generated through large - scale collaborations.

Examples of science projects enabled by the data in the High - Latitude Survey include: mapping the formation of cosmic structure in the first billion years after the Big Bang via the detection and characterization of over 10,000 galaxies at z > 8; finding over 2,000 QSOs at z > 7; quantifying the distribution of dark matter on intermediate and large scales through lensing in clusters and in the field; identifying the most extreme star - forming galaxies and shock - dominated systems at 1 < z < 2; carrying out a complete census of star - forming galaxies and the faint end of the QSO luminosity function at z ~ 2, including their contribution to the ionizing radiation; and determining the kinematics of stellar streams in the Local Group through proper motions.

To improve parameterization, the researchers propose developing Earth system models that learn from the rich data sets now available (thanks, in large part, to satellite observations) and high - resolution simulations on local scales.

DIRBE data will facilitate studies of the content, energetics and large scale structure of the Galaxy, as well as the nature and distribution of dust within the Solar System.

Sharing Data from Large - scale Biological Research Projects: A System of Tripartite Responsibility.

The program is designed to help schools and school systems boost their training capacity and bring data inquiry to scale in cost effective and context - specific ways.

There is a specific and limited role for a central authority (called a Civic Education Council or CEC) that provides economies of scale, such as a central data system.

LaunchPath's goal is to improve the quality and scale of work - based learning by using a comprehensive data system to seamlessly match students and employers based on students» fields of study and employers» availability.

As the director of the Center for Strengthening Education Systems, Mike manages a portfolio of large - scale projects that build multiple stakeholders» capacity to plan, lead, and implement data - and evidence - driven change initiatives.

Currently, Goble is survey director for an evaluation of Youth CareerConnect, which encourages school districts, institutions of higher education, the workforce investment system, and their partners to scale up evidence - based high school models, overseeing all data collection as well as design and administration of parent and student surveys.

Learning Management Systems are supposed to make your life easier by centralizing your data and deploying online training resources on a global scale.

Arizona State University Marylou Fulton Teachers College (ASU MLFTC), in collaboration with Arizona Ready - for - Rigor grant - funded partner districts and ADE, are developing and implementing a large - scale data depot system, including a teacher tracking system to link student achievement scores to students» teachers of record / administrator / school / district.

The grading scale measures a state's record of success, and its reform plans, in four categories: standards and assessments, data systems, teacher and principal effectiveness, and low - performing schools.

In this lesson, students use data related to distances between objects in the solar system to create their own scale model to represent these distances and better understand relationships of objects...

A data guided, tiered student support system that uses early warning indicators and an integrated system of whole school, targeted and intensive supports to get the right intervention, to the right student, at the right time at the scale and intensity required (along with rapid recovery options when this does not work).

Principals are implementing large - scale initiatives such as the Common Core State Standards, administering new teacher evaluation systems that require incredible amounts of time and energy, meeting the needs of increasingly diverse student populations, and analyzing copious amounts of data to inform school improvement.

It details core components of the new approach, initial implementation lessons, adjustments made in the second year, and how system leaders are using the work to advance school improvement and create a data - driven education improvement culture at scale.

Nettie Legters, Education Northwest; Douglas MacIver, Johns Hopkins University; Jason Willis, San Jose Unified School District; Emalie McGinnis, San Jose Unified School District San Jose Unified School District is scaling up its college readiness indicators system (CRIS) districtwide through a unique redesign process that links every school principal with central - office staff in routine, data - driven cycles of inquiry.

E3 Alliance has developed the strongest objective data models in the state and designed a change process to positively impact education systems at scale.

The other half of the funding would be devoted mostly to statewide initiatives, including professional development for teachers and administrators, the expansion of the longitudinal data system, vertical scale assessment data, developing models for supporting, supervising and evaluating teachers and principals, secondary school reform, and several other initiatives.