In the media, a prevalent narrative is that Donald Trump lost the 2020 elections because of the way he handled the COVID-19 pandemic. Several researchers determined that Trump would have won the electoral vote and lost the popular vote, as he did in 2016, if the pandemic had not occurred or if it had been mitigated.
Philanthropists Richard and Carol Dean Hertzberg have committed $2.1 million to develop and maintain the Dean-Hertzberg Breast Cancer Database System Initiative at UC San Diego Health Moores Cancer Center to support the work of Anne Wallace, MD and her collaborators at Moores Cancer Center.
UC San Diego has announced a joint appointment with Los Alamos National Laboratory with the appointment of Senior Scientist Rodman Linn to a three-year position with the Halıcıoğlu Data Science Institute (HDSI). This is the first joint appointment program between Los Alamos and a UC campus.
New research from Cornell University lays out in detail why ranked-choice voting (RCV), combined with multi-member legislative districts, promotes fair representation and severely limits the gerrymanderers’ ability to draw themselves into the Election Day winner’s circle
A Lab research team’s project was selected in a highly competitive $26 million Department of Energy (DOE) grant program to advance chemical and materials sciences by using data science.
Case Western Reserve University and the University of Pittsburgh will launch a joint center this fall that uses cutting edge data-science and materials research to help companies make more reliable and durable products.
The Center for Materials Data Science for Reliability and Degradation (MDS-Rely) is a $3 million center supported by a $1.5 million grant from the National Science Foundation (NSF) .
The National Science Foundation (NSF) announced today an investment of $220 million to establish 11 artificial intelligence (AI) institutes, each receiving $20 million over five years. One of these, The Institute for Learning-enabled Optimization at Scale (TILOS), will be led by the University of California San Diego.
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
On Monday, the U.S. Census Bureau will release population data that will be used to determine the number of congressional seats and Electoral College votes each state receives. David Shmoys, professor in computer science at Cornell University, studies how…
The American College of Radiology® (ACR®) Data Science Institute® (DSI) and the Cancer Imaging Archive (TCIA), funded by the National Cancer Institute (NCI), have teamed up to connect use cases and datasets to speed medical imaging artificial intelligence (AI) development.
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.
Hertz Fellow Emma Pierson wields machine learning like a Swiss Army knife to investigate a range of problems, including disparities in COVID-19 testing, the treatment of osteoarthritis, and police discrimination.
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.
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.
A leading expert on supply chains is available to discuss President Joe Biden’s executive order to create more resilient and secure supply chains for critical and essential goods in the United States. “The private sector’s ability to rapidly adapt supply…
Purdue University and MITRE are combining their expertise and capabilities to form a new public-private partnership focusing on key areas of national safety and security.
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.
The Data Science for the Public Good program, an Iowa State University project to help Iowa towns harness their data, has led to four offshoot projects to help support community recovery related to economic vulnerability, substance use and general support.
Engineers have developed a thread-based sensor capable of monitoring the direction, angle of rotation and degree of displacement of the head. The design is a proof of principle that could be extended to measuring movements of other limbs by sensors attached like tatoos to the skin.
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.
In recent news, archivists have saved content by users on the social media platform Parler, which was booted by big tech companies like Apple and Amazon. Those posts largely revolve around support for Donald Trump and his efforts during the…
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.
The new service features matching clients’ patent research needs with top-notch patent Experts.
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.
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.
Appointment Advances Health System’s Role as Leader in AI and Digital Health
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.
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.
NIH has launched an ambitious effort to use artificial intelligence, computation, and medical imaging to enable early disease detection, inform successful treatment strategies, and predict individual disease outcomes of COVID-19.
Computational scientific research is no longer one-size-fits-all. The massive datasets created by today’s cutting-edge instruments and experiments — telescopes, particle accelerators, sensor networks and molecular simulations — aren’t best processed and analyzed by a single type of machine.
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.
Premature birth is a major global health challenge and the leading cause of death in children under 5. In order to predict premature birth, it necessary to know the gestational age of a baby, which isn’t easy. Even if a…
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.
Grant Will Enable Development of AI Tools to Enhance Care and Evidence-based Medicine for Treating COVID-19 Patients
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.
Penn State researchers will need the power of supercomputers not just to investigate possible treatments and therapies for the novel coronavirus, but also to explore ways to help the world recover socially, economically and psychologically.
How can researchers and oncologists glean meaningful information from mounds of data to help guide cancer research and patient care? A new analytic tool developed by University of Michigan Rogel Cancer Center researchers combines multiple data sets to help sift the signal from the noise.
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.
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.
“Big data” is getting a big boost in the University of Illinois at Chicago College of Liberal Arts and Sciences through a new professorship endowed by TransUnion, a leading global information and insights company.
The U.S. Department of Health and Human Services Agency for Healthcare Research and Quality (AHRQ) has awarded a Rensselaer Polytechnic Institute team $15,000 for an app called MortalityMinder, which identifies social conditions contributing to declining life expectancy at a community level.
Thanks largely to advances in computing, researchers in computational biology and data science are harnessing the power of the masses and making discoveries that provide valuable insights into human health.
Fred Hutchinson Cancer Research Center will host a press breakfast Feb. 14 at the annual meeting of the American Association for the Advancement of Science, to be held Feb. 13-16 in Seattle.
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.
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.
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.
UNC Charlotte has opened the Carolinas’ first School of Data Science. The interdisciplinary school allows UNC Charlotte to expand on its programs in the field and open up the growing and diverse field of data science to students with varied career interests.
The Camille and Henry Dreyfus Foundation announces the establishment of a new program for Machine Learning in the Chemical Sciences and Engineering. The goal of this program is to further the understanding and applications of machine learning throughout the chemical sciences.
A multi-disciplinary team of University of Illinois at Chicago researchers received a three-year, $1.5 million grant from the National Science Foundation to form a new data science institute.