Tag: Amazon S3

In response to the COVID-19 pandemic, nonprofit organization PhysioQ launched a COVID-19 early-detection platform for families. Jordan Masys, co-founder of PhysioQ, describes how AWS allows PhysioQ to create and to scale a platform that not only helps detect signs of COVID-19 early, but also accelerates scientific research.

Tuesday, September 22, 2020 is National Voter Registration Day, a nonpartisan civic holiday in the United States celebrating democracy with a mission to create broad awareness of registration opportunities for voters. Learn how nonprofit civic organizations use the cloud to meet their mission in a secure, scalable, and cost-effective way on National Voter Registration Day and throughout the election cycle.

According to the National Center for Education Statistics, only 60 percent of college students receive a degree within six years. Universities—like Portland State University (PSU) and Oklahoma State University (OSU-OKC)—are using data lakes for analytics and machine learning to improve academic achievement by helping students reach their educational goals faster. Read on for how institutions use Amazon S3 for data lakes.

The National Center for Atmospheric Research (NCAR) is a federally funded research and development center sponsored by the National Science Foundation. It engages in large-scale Earth system science research projects in collaboration with the broader university community. NCAR hosts visitors from around the world, develops community models including the Community Earth System Model and the Weather Research and Forecasting Model, and maintains supercomputers, observational systems, and aircraft to support further study on the how the planet works. As part of the Amazon Sustainability Data Initiative, we invited Dr. David John Gagne, machine learning (ML) scientist at NCAR, to share how open data and machine learning on AWS are impacting the way we predict and understand extreme weather.

Data lakes can help hospitals and healthcare organizations turn data into insights and maintain business continuity, while preserving patient privacy. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions. In my previous post, “Getting started with a healthcare data lake,” I shared how to get started using data lakes in managing healthcare data and what a good “first sprint” architecture might look like. Here, I walk through building your first solution on AWS using a healthcare data lake as our example workload.

In response to the COVID-19 pandemic, healthcare organizations around the world are focusing on improving and speeding up testing and diagnostics. Digital health companies Smart Reporting in Germany and Thirona in the Netherlands have been working to create a CT-based imaging solution to support COVID-19 diagnosis, enabled by the cloud and the Amazon Web Services (AWS) Diagnostic Development Initiative. The AWS Diagnostic Development Initiative provides support to organizations for innovation in rapid and accurate patient testing for 2019 novel coronavirus (COVID-19) and other diagnostic solutions to mitigate future outbreaks.

Working with a network of 100 biodiversity information centers and 1,000 conservation scientists, NatureServe identifies and understands the most important places to prevent species extinction and ecosystem loss. They provide land use decision-makers in federal and state agencies, industry, academics, and nonprofits with information to meet both regulatory and biodiversity conservation needs. NatureServe and its network collect and maintain data on the conservation status and location of threatened and endangered species, developed over decades of field data collection. But these data have been underutilized in environmental review decision-making processes due to challenges surrounding awareness, access, and reliable or seamless integration with other systems. To address these challenges, they developed an online spatially explicit tool on AWS.

AWS and the National Institutes of Health’s (NIH) National Center for Biotechnology Information (NCBI) announced the creation of the Coronavirus Genome Sequence Dataset to support COVID-19 research. The dataset is hosted by the AWS Open Data Sponsorship Program and accessible on the Registry of Open Data on AWS, providing researchers quick and easy access to coronavirus sequence data at no cost for use in their COVID-19 research.

The COVID-19 pandemic magnified the health and financial strain in communities across the country. Before the pandemic hit, Wildfire, a state association for Community Action Agencies, was working with Prefix, an AWS Partner Network Technology Partner, to develop a cloud-based solution for utility and rental assistance. When the City of Phoenix requested they support the distribution of $20 million CARES Act funds, they shifted their resources and existing infrastructure and, in a matter of weeks, stood up a repeatable public-facing solution.

The impact of COVID-19 has K12 and higher education institutions working hard to prepare for students to return to learning that will be anything but typical. The 2020-2021 academic year will include various teaching and learning modalities—virtual, hybrid, and face-to-face—and most expect a shift from one to another throughout the year. Globally, EdTechs are working with AWS to accelerate features and solutions to better support students and educators in teaching and learning, physical and mental wellness, and health and safety.