Tag: research

Forest wildfire risk is increasing in the western United States. In the past five decades, large wildfire frequency and the area destroyed have risen by more than four and six times, respectively. The increased risk posed by wildfires has prompted scientists to try to assess wildfire risk to help inform whether to move people to safety before disastrous wildfires occur.

If you are a scientific researcher, you are likely more interested in getting your research done than in the computational resources that you use to do it. You may think about ways to continue your research remotely with the rise in remote work. Did you know the cloud and Amazon Web Services (AWS) can accelerate your research and time to science? Here are five ways.

The concept of a COVID-19 High Performance Computing (HPC) Consortium emerged from a roundtable discussion at the White House in March and included input from industry, government, and academic leaders. Following the announcement of the consortium, AWS has been collaborating with teams on a growing number of projects to provide cloud computing resources from AWS. I want to share three early learnings and insights into some of the innovative projects on which we are collaborating with the world’s leading researchers.

CyberPatient, a Canadian startup, provides an online, digital learning environment to help medical students around the globe practice skills virtually before they ever enter into clinical rotations or step foot into a hospital. In the platform, students can interact with virtual patients and work through scenarios that mimic real life. As more students turn to virtual learning, CyberPatient’s platform is being offered to medical students at no cost.

To help researchers learn about cloud computing, AWS curated a list of no-cost, on-demand online courses tailored to researchers’ needs. With the cloud, scientists can quickly analyze massive data pipelines, store petabytes of data, and share their results with collaborators around the world. These online courses are available at any time to help users learn new cloud skills and services.

The EHDEN Academy is launching a no-cost online e-learning platform to train researchers on the mapping of patient data in the OMOP Common Data Model and the use of Observational Health Data Sciences and Informatics (OHDSI) tools to perform health analysis. The EHDEN Academy is the global educational resource for those working with data to generate real-world evidence and outcomes research. The EHDEN Academy is open to the public to better support the need for technical expertise in Europe and abroad.

Academic medical centers (AMCs) are under pressure to reduce costs, innovate at scale, and improve operational performance. To do this, they’re turning to the cloud. Two AWS Partner Network (APN) Public Sector Partners used the cloud to create solutions for AMCs that use large datasets to help advance medical research and analyze genomic data. Learn how these two partners are building solutions in the cloud to help AMCs further their mission.

The rapidly changing and dynamic global health situation has impacted the lives of many people including researchers at universities and institutions worldwide. Many academic institutions are migrating to remote operations. Researchers are processing data, collaborating online, and trying to maintain labs remotely. Amazon and AWS are responding to these events in support of our communities and deploying resources and technology to enable remote learning and home working.

Innovation is discovery that enables government to do more with less, advance economic and national security, and transform public service. In Government Matters Tech Leadership Series: Innovation, leaders from the United States federal government and AWS discussed how innovation is fueled by the cloud and is helping them achieve their missions and deliver citizen services.

Mahmoud Khaled, a PhD student at TUM and a research assistant at LMU, researches how to improve safety-critical systems that require large amounts of compute power. Using AWS, Khaled’s research project, pFaces, accelerates parallelized algorithms and controls computational complexity to speed the time to science. His project findings introduce a new way to design and deploy verified control software for safety-critical systems, such as autonomous vehicles.