Tag: education

OCEARCH is a data-centric organization built to help scientists collect previously unattainable data about the ocean. Their mission is to accelerate the ocean’s return to balance and abundance, through innovation in scientific research, education, outreach, and policy, using unique collaborations of individuals and organizations in the US and abroad. As part of the Amazon Sustainability Data Initiative (ASDI), we invited Fernanda Ubatuba, president and COO at OCEARCH, to share how her organization is making strides in helping ocean conservation and how AWS is supporting her mission.

In 2021, one in six Australians—almost four million people—have hearing loss, ranging from mild to profound. The statistic is part of the larger global picture reported by the World Health Organization (WHO) that approximately 466 million people live with hearing loss; of these, 34 million are children. In addition, 1.1 billion young people are at risk of hearing loss due to exposure to noise in recreational settings and through personal audio devices. AWS offers services that will help organizations build end-to-end solutions with accessibility in mind and improve day-to-day activities such as social interactions, clinical consultations, live media, and public service announcements.

Addressing climate change requires innovation across the world, across industries, and across startups and multi-national corporations. From distributed energy to storage solutions to efficiency and optimization software—clean technology investment and innovation is surging. With this surge in demand comes a rapid proliferation of startups working to solve today’s biggest energy challenges. To help foster this innovation, AWS is launching the AWS Clean Energy Accelerator.

Children become aware of traditional careers at a young age. But the careers in modern science, technology, engineering, arts, and mathematics (STEAM) that are likely to be among the most in-demand when the children enter the workforce aren’t traditionally introduced to younger students. Many cloud occupations are absent in the aspirational pathways commonly discussed in STEAM education. Aspiring tech students are not aware of the full breadth of cloud jobs that exist, and are often pushed a narrow view limited to coding, video game production, and software development. To address these gaps, Amazon Web Services (AWS) and Flight Works Alabama (an Airbus Americas 501c3) created the program We Build It Better.

What if we were to democratize access to data and compute so that anyone, anywhere in the world could contribute to climate science? The Amazon Sustainability Data Initiative (ASDI) seeks to accelerate sustainability research and innovation by minimizing the cost and time required to acquire and analyze large sustainability datasets. ASDI supports innovators and researchers with the data, tools, and technical expertise they need to advance sustainability initiatives. ASDI is committed to making climate-relevant data easier to access and analyze. ASDI’s growing data catalog comprises petabytes of open data.

Today, Amazon announced that it is now hosting petabytes of data from the largest and most updated climate simulation dataset in the world. Through two cloud grants from the Amazon Sustainability Data Initiative (ASDI) to the Earth System Grid Federation (ESGF), Amazon is enabling climate researchers worldwide to access and analyze the dataset used for the United Nation’s Intergovernmental Panel on Climate Change’s Sixth Assessment Report (IPCC-AR6) on the AWS Cloud. The report—scheduled to be published in May 2022—provides policymakers worldwide with the latest assessment of the scientific basis of climate change, its impacts and future risks, and options for adaptation and mitigation. The climate simulation dataset, also known as the Coupled Model Intercomparison Project Phase 6 (CMIP6) data archive, traditionally hosted and distributed through the ESGF servers, aggregates the climate models created across approximately 30 working groups and 1,000 researchers working on IPCC-AR6.

The Urban Analytics Lab at the National University of Singapore (NUS) spearheads research in geospatial data analysis and 3D city modelling. The lab’s work underpins the development of smart cities and provides scientists, architects, urban planners, and real estate developers with data insights. These insights help parties make informed decisions about projects ranging from energy modelling to urban farming. To meet rising global demand for its data analytics and planning tools, Urban Analytics Lab turned to Amazon Web Services (AWS).

Nonprofits and education institutions of all sizes rely on large amounts of data to serve their stakeholders, programs, and governance. For many organizations, the first step in a technology transformation begins with centralizing data that is siloed across a variety of mission critical systems. In support of these goals, Salesforce.org and Amazon Web Service (AWS) are working together to help nonprofits and education institutions derive actionable insights from their data.

AWS Training and Certification is now offering a new foundational training course on AWS GovCloud (US) as part of their no-cost training webinar series. Introduction to Governance and Compliance in AWS GovCloud (US) Regions is a training workshop for those looking for a solution to host sensitive data and regulated workloads, or IT professionals just looking to learn more about AWS GovCloud (US). This new live training webinar dives into the basics of how AWS and AWS GovCloud (US) Regions address these stringent security, compliance, and governance requirements.

To help protect investments on ML, government organizations can securely store ML source code. Storing Amazon SageMaker Studio code in an AWS CodeCommit repository enables you to keep them as standalone documents to reuse in the future. SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps required to prepare data and build, train, and deploy models. Read on to learn the steps to configure a git-based repository on CodeCommit to manage ML code developed with SageMaker.