AWS Public Sector Blog

Category: Research

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Cloud incident response at UNSW with digital forensics powered by AWS

In the digital age, universities face increasing cyber threats that put valuable data at risk. The University of New South Wales (UNSW) is taking proactive measures to address this growing concern. Read this blog post to learn how UNSW is collaborating with Amazon Web Services (AWS) to modernize its IT infrastructure and bolster cybersecurity defenses as part of its cloud transformation program.

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Flexibility, cost-savings, and innovation: Kellogg School of Management chooses AWS

At the end of 2022, Northwestern University’s Kellogg School of Management had a decision to make. The on-premises SQL server used by faculty and students had reached the end of its life, and the school needed to identify a cost-effective way forward while ensuring that the datasets would remain highly available for researchers to use on demand. After weighing various options, Kellogg worked with Amazon Web Services (AWS) to create a data lake that fit its unique needs.

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St. Louis University uses AWS to make big data accessible for researchers

The research team at SLU’s Sinquefield Center for Applied Economic Research (SCAER) required vast quantities of anonymized cell phone data in order to study the impacts of large-scale social problems. SCAER needed to store, clean, and process 450 terabytes of data, so it worked with Amazon Web Services (AWS) to create a fast, cost-effective solution for managing its growing quantities of data.

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Northwestern University Libraries make research more efficient, accessible with AWS Lambda

Northwestern University Libraries’ (NUL) relationship with Amazon Web Services (AWS) helped lead to innovative approaches to NUL’s digital collections suite. Read this post to learn how NUL leveraged an open-source standard and AWS Lambda to make it simpler for researchers to examine, compare, share, and cite images and audio/visual files across libraries.

How the Imaging Data Commons migrated 40 million medical images using AWS DataSync

How the Imaging Data Commons migrated 40 million medical images using AWS DataSync

Learn how the National Cancer Institute Imaging Data Commons (IDC) team migrated the Imaging Data Commons data to AWS using AWS DataSync. Plus, learn how to get started with IDC data, which is accessible at no cost through the AWS Open Data Sponsorship Program.

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Announcing the 2023-2024 AWS IMAGINE Grant winners

Each year, Amazon Web Services (AWS) awards IMAGINE Grants to nonprofit organizations using cloud technology to drive mission-critical impact for their beneficiaries. Learn more about the IMAGINE Grant program and this year’s winners, who were announced today at our re:Invent 2023 conference.

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34 new or updated datasets available on the Registry of Open Data on AWS

This quarter, AWS released 34 new or updated datasets on the Register of Open Data. What will you build with these datasets? Read through this blog post for inspiration.

LearnHaem establishes Asia Pacific's largest haematology database on AWS

LearnHaem establishes Asia Pacific’s largest haematology database on AWS

LearnHaem, a nonprofit online educational resource based in Singapore, grew out of a need to make haematology content accessible and inclusive to medical professionals and students around the world. The LearnHaem website, built on AWS, provides one of the largest and most comprehensive collections of no-cost digitized images of microscopy slides and haematology educational content available in Asia Pacific, focusing on blood and blood-related disorders.

Enhancing multidisciplinary collaboration in digital pathology with cloud-based PACS

Enhancing multidisciplinary collaboration in digital pathology with cloud-based PACS

INFINITT Healthcare, a healthcare technology (HealthTech) company based in South Korea, is working to streamline digital pathology by extracting and transforming whole-slide imaging (WSI) output as a Digital Imaging and Communications in Medicine (DICOM) file—a digital version of WSI that is helping pathologists save time and resources, streamline multidisciplinary communication, and accelerate time to solutions in patient care. This is then stored in their cloud-based digital pathology system (DPS) built on AWS.

How to store historical geospatial data in AWS for quick retrieval

How to store historical geospatial data in AWS for quick retrieval

Learn how to store historical geospatial data, such as weather data, on AWS using Amazon DynamoDB. This approach allows for virtually unlimited amounts of data storage combined with query performance fast enough to support an interactive UI. This approach can also filter by date or by location, and enables time- and cost- efficient querying.