Department of Energy to Provide $10 Million for Research on Data Reduction for Science

Today, the U.S. Department of Energy (DOE) announced $10 million for foundational research to address the challenges of managing and processing the increasingly massive data sets produced by today’s scientific instruments, facilities, and supercomputers in order to facilitate more efficient analysis.

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UCI to lead transfer of UC COVID-19 patient information to federal database

Irvine, Calif., March 24, 2021 – Vaccines are here, but as COVID-19 cases continue and variants spread, researchers need easy access to a wide variety of data to better understand the disease. Led by the University of California, Irvine, UC hospitals have received a $500,000 grant from the National Institutes of Health to make this possible.

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Deaths in the family can shape kids’ educational attainment in unexpected ways

Deaths of family members may trigger ripple effects across family networks, reverberating in the lives of children in complex and, sometimes, unexpected ways.

In a study, the researchers found that deaths in the family can affect the educational attainment of children. That impact most often is negative, but, in certain cases, a family death can improve the chances that children will further their education.

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WVU responds to data revolution with new major

The world is in the midst of a data revolution. From how we shop to how we vote and all decisions in between, there is a growing need for professionals trained to use modern data analysis to solve everyday problems. To meet these 21st century workforce demands, WVU is launching a new undergraduate data science major.

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New UNC Charlotte Academic Programs Respond to Job Market and Region’s Needs

UNC Charlotte is responding to the greater Charlotte region’s employment needs with three new degree programs and five new graduate certificate programs that are relevant to the current and future job market. Several will be available this spring and all programs will be open for new and current students by fall 2021.

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Data access restrictions reduce diversity in scientific research, study finds

New technologies have allowed governments and other organizations to collect large, high-quality datasets that can be used in a variety of scientific research, from economics to biology to astronomy. Yet high costs and restrictions can limit both the diversity of researchers who have access and the range of research undertaken with this valuable data.

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October 27, 2020 Web Feature Enabling the Data-Driven Future of Microscopy

An international research team led by PNNL has published a vision for electron microscopy infused with the latest advances in data science and artificial intelligence. Writing a commentary in Nature Materials, the team proposes a highly integrated, autonomous, and data-driven microscopy architecture to address challenges in energy storage, quantum information science, and materials design.

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American College of Radiology and University of Pennsylvania Create Joint Program to Advance Quantitative Imaging Diagnostics and Analytics

The American College of Radiology® (ACR®) Center for Research and Innovation™ (CRI) is pleased to announce a new collaborative effort with the Center for Biomedical Image Computing & Analytics (CBICA) in the Perelman School of Medicine at the University of Pennsylvania (Penn). The collaboration will leverage the ACR’s industry-leading research infrastructure and Penn’s scientific expertise in a joint effort to more rapidly advance imaging informatics.

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Thomas J. Fuchs, DSc, Named Dean of Artificial Intelligence and Human Health and Co-Director of the Hasso Plattner Institute for Digital Health at Mount Sinai

Appointment Advances Health System’s Role as Leader in AI and Digital Health

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Globus Moves 1 Exabyte

Globus, a leading research data management service, reached a huge milestone by breaking the exabyte barrier. While it took over 2,000 days for the service to transfer the first 200 petabytes (PB) of data, the last 200PB were moved in just 247 days. This rapidly accelerating growth is reflected by the more than 150,000 registered users who have now transferred over 120 billion files using Globus.

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BGSU’s Novak Family Professor of Data Science helps journalists understand polls

Being able to vet surveys and election polls is important for journalists and other media experts, making Dr. Trent Buskirk a very popular person this time of year. Buskirk is the Novak Family Professor of Data Science and the chair of the Applied Statistics and Operations Research Department at BGSU.

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New Leader of Computational Biomedicine

Harvard Medical School has named Robert Gentleman as founding executive director of the newly established Center for Computational Biomedicine.
Gentleman, an accomplished statistician and computational scientist with extensive experience in academia and industry, most recently served as vice president of computational biology at the genetic testing company 23andMe.

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New COVID Local Risk Index Helps Cities Identify Neighborhoods at Highest Risk for COVID and Better Target Resources to Blunt Local Pandemic Impact

A new city-oriented COVID Local Risk Index will help municipal leaders identify cities and neighborhoods with populations at higher risk of COVID-19 infection and more severe COVID-19 illness by incorporating key risk factors of race and ethnicity, age, household crowding, poverty and underlying health conditions like diabetes and obesity.

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Calibrated approach to AI and deep learning models could more reliably diagnose and treat disease

In a recent preprint (available through Cornell University’s open access website arXiv), a team led by a Lawrence Livermore National Laboratory computer scientist proposes a novel deep learning approach aimed at improving the reliability of classifier models designed for predicting disease types from diagnostic images, with an additional goal of enabling interpretability by a medical expert without sacrificing accuracy. The approach uses a concept called confidence calibration, which systematically adjusts the model’s predictions to match the human expert’s expectations in the real world.

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FORECASTING URBANIZATION

A new global simulation model offers the first long-term look at how urbanization—the growth of cities and towns—will unfold in the coming decades. Using data science and machine learning, the research team projects the total amount of urban areas on Earth can grow anywhere from 1.8 to 5.9-fold by 2100, building approximately 618,000 square miles.

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Researchers work on early warning system for COVID-19

To better understand early signs of coronavirus and the virus’ spread, physicians around the country and data scientists at UC San Diego are working together to use a wearable device to monitor more than 12,000 people, including thousands of healthcare workers. The effort has started at hospitals in the San Francisco Bay Area and at the University of West Virginia.

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CFN Staff Spotlight: Xiaohui Qu Bridges the Data Science-Materials Science Gap

As a staff member in the Theory and Computation Group at Brookhaven Lab’s Center for Functional Nanomaterials, Qu applies various approaches in artificial intelligence to analyze experimental and computational nanoscience data.

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Cornell co-leads effort to use big data to combat catastrophes

With a team of experts in fields including data science, statistics, computer science, finance, energy, agriculture, ecology, hydrology, climate and space weather, The Predictive Risk Investigation System for Multilayer Dynamic Interconnection Analysis (PRISM), funded by the National Science Foundation (NSF), will integrate data across different areas to improve risk prediction.

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New UC San Diego Symposium Stirs Dialogue Among Data Science and Arts and Humanities Experts

On February 7 and 8, UC San Diego will bring together experts from data science and the arts and humanities to examine the emerging relationship between data and culture. The symposium will provide a forum for artists, historians, philosophers, literary scholars, political scientists, and computer and data scientists to explore how analytic techniques can unveil new understandings of culture, and how the proliferation of data in everyday life changes how culture is produced, distributed, and influenced.

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Case School of Engineering creates new Computer & Data Sciences Department

Case Western Reserve University has launched a new Computer & Data Sciences Department in the Case School of Engineering (CSE) and announced the Kevin J. Kranzusch Professorship, which will be held by the future chair of the new department.

The new department was made possible primarily with a $5 million gift from Kranzusch, a CSE alumnus, who said a spike in computer sciences enrollment, coupled with the advent of Artificial Intelligence (AI), inspired him to make the commitment.

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ORNL-VA Collaboration Targets Veteran Suicide Epidemic

In collaboration with the Department of Veterans Affairs, a team at Oak Ridge National Laboratory has expanded a VA-developed predictive computing model to identify veterans at risk of suicide and sped it up to run 300 times faster, a gain that could profoundly affect the VA’s ability to reach susceptible veterans quickly.

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