AWS Public Sector Blog

Category: Education

Guidance for academic medical center data center migrations

Guidance for academic medical center data center migrations

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. But developing a request for proposal (RFP) for a data center migration to the cloud can be challenging for organizations who have not used cloud at scale yet. This blog post presents guidance for procurement practices that can be used when an AMC is looking to solicit cloud services for a data center migration separate from the integration services to perform the migration.

36 new or updated datasets on the Registry of Open Data: AI analysis-ready datasets and more

36 new or updated datasets on the Registry of Open Data: AI analysis-ready datasets and more

This quarter, AWS released 36 new or updated datasets. As July 16 is Artificial Intelligence (AI) Appreciation Day, the AWS Open Data team is highlighting three unique datasets that are analysis-ready for AI. What will you build with these datasets?

AWS celebrates 2023 cohort of Education Champions

To celebrate the leaders and organizations that are propelling the academic landscape forward, AWS announced the 2023 cohort of Education Champions at IMAGINE: Education, State and Local Leaders 2023 Conference. The 2023 AWS Education Champions are pioneers that demonstrate meaningful digital transformation at their education institution to improve student outcomes, build institutional resiliency, accelerate research that can lead to life-changing discoveries, and more – all using the AWS Cloud.

Making financial aid simple for students and staff: How Highline College collaborated with AWS on a financial aid tracking tool

As student enrollment begins to stabilize at colleges and universities, higher education leaders are focused on supporting equitable access to postsecondary education. Many leaders are turning to technology to address systemic barriers to education by making services more transparent, efficient, and simple for learners and staff. Together with AWS, Highline College’s financial aid department created a key tool that helped eliminate one such barrier.

How Xavier University of Louisiana’s migration to AWS is creating a “technology renaissance”

In 2022, Xavier University of Louisiana (XULA) launched their journey to future-proofing with the cloud. Modernizing the university’s technology was a top priority to help improve the security of the university, improve business continuity, and solve the unique challenges of the university’s location. Working together with AWS and AWS Partners Strata Information Group and VMware, XULA migrated over 90 percent of its critical systems to the cloud, boosted its cybersecurity posture, and reduced IT costs.

Announcing the Landing Zone Accelerator for Education to support customers in education and research

Announcing the Landing Zone Accelerator for Education to support customers in education and research

AWS announced the availability of Landing Zone Accelerator (LZA) for Education, an industry-specific deployment of the LZA on AWS, designed to further support education customers in designing cloud environments for their compliance needs. The LZA on AWS solution is architected to align with AWS best practices and multiple, global compliance frameworks. The new LZA for Education builds on the LZA to help customers secure their research workloads or workloads containing student data by giving them a set of default configurations that they can use as a starting point and iterate on to define security and compliance posture as code.

A framework to mitigate bias and improve outcomes in the new age of AI

A framework to mitigate bias and improve outcomes in the new age of AI

Artificial intelligence (AI) and machine learning (ML) technologies are transforming many industries. But although public sector organizations are realizing the benefits of these technologies, there are many remaining challenges, including biases and a lack of transparency, that limit the wider adoption to unlock the full potential of AI and ML. In this post, learn a high-level framework for how AWS can help you address these challenges and provide better outcomes for constituents.

How EdIndia Foundation uses AWS to upskill teachers and increase student success

EdIndia Foundation is an Indian nonprofit organization whose mission is to create innovative solutions that impact the quality of education at scale. EdIndia’s research showed that between the ages of 8–11, there is a stark difference in learning outcomes of students taught by high-performing teachers compared with low-performing teachers. EdIndia saw an opportunity to address this problem using AWS.

Accelerating economic research at UBC with high performance computing using RONIN and AWS

Dr. Kevin Leyton-Brown and Neil Newman are computer scientists at the University of British Columbia (UBC) working at the intersection of artificial intelligence (AI) and microeconomic theory. Their research demands large-scale, high-performance computing, in episodic bursts, to run parallel simulations of complex auctions. When Leyton-Brown and Newman began research into the computationally complex auction theory behind the 2016 United States wireless spectrum auction, their ML models required significantly more computing power than their on-premises infrastructure could provide. The UBC team turned to RONIN, an AWS Partner, and the virtually unlimited infrastructure of the AWS Cloud, to accelerate their time to answers and new discoveries.

Alzheimer’s disease research portal enables data sharing and scientific discovery at scale

The National Institute on Aging Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS DSS), powered by AWS, is a genomic database that provides access to publicly available datasets for Alzheimer’s disease and related neuropathologies. Created to make Alzheimers-genetics knowledge more accessible to researchers, NIAGADS has genomics data on 172,701 samples from 98 datasets and is now 1.3 petabytes (PB) in total size. NIAGADS is creating a system that promotes scientific discovery through data sharing with a large cadre of institutions.