TechCrunch: Aclima and Google release a new air quality data set for researchers to investigate California pollution

TechCrunch: Aclima and Google release a new air quality data set for researchers to investigate California pollution. “As part of the Collision from Home conference, Aclima chief executive Davida Herzl released a new data set made in conjunction with Google. Free to the scientific community, the data is the culmination of four years of data collection and aggregation resulting in 42 million air quality measurements throughout the state of California.”

Centers for Medicare & Medicaid Services: Medicare COVID-19 Data Release Blog

Centers for Medicare & Medicaid Services: Medicare COVID-19 Data Release Blog. “Today, the Centers for Medicare & Medicaid Services (CMS) released preliminary data on COVID-19 derived from Medicare claims. The data provides a highly instructive picture of the impact of COVID-19 on the Medicare population, further confirming a number of long understood patterns in the disease such as the elevated risk for seniors with underlying health conditions.”

Expert Tips for Data Analytics: COVID-19 to Dark Data (Datamation)

Datamation: Expert Tips for Data Analytics: COVID-19 to Dark Data. “Register for this live video webinar – Thursday, May 7, 9 AM PT Ask the experts – get your Data Analytics questions answered by two industry experts. In a wide ranging conversation with two of data analytic’s top thought leaders, we’ll delve into some key questions in analytics today.” I’m pretty sure this is free, but not 100% positive.

Berkeley Haas: Open-source smartphone database offers a new tool for tracking coronavirus exposure

Berkeley Haas: Open-source smartphone database offers a new tool for tracking coronavirus exposure. “The Covid-19 Exposure Indices, created by Berkeley Haas Asst. Prof. Victor Couture and researchers from Yale, Princeton, the University of Chicago, and the University of Pennsylvania in collaboration with location data company PlaceIQ, is aimed at academic investigators studying the spread of the pandemic. The data sets allow researchers to visualize how people can potentially be exposed to those infected with the virus, based on cell-phone movements to and from businesses and other locations where a great deal of the exposure happens.”

FierceBiotech: Life science companies combine to form COVID-19 research database

FierceBiotech: Life science companies combine to form COVID-19 research database. “A group of major CRO, life science, data analytics, publishing and healthcare companies joined forces to release a pro bono research database to build up and integrate a central hub on the latest data out for COVID-19. On the technical side, it’s a secure repository of HIPAA-compliant, de-identified and limited patient-level data sets that will be ‘made available to public health and policy researchers to extract insights to help combat the COVID-19 pandemic,’ according to the group.”

Bing Blogs: Bing delivers new COVID-19 experiences including partnership with GoFundMe to help affected businesses

Bing Blogs: Bing delivers new COVID-19 experiences including partnership with GoFundMe to help affected businesses. “Bing has already released a full-page map tracker of case details by geographic area. Now, those working in academia and research can access our data on cases by geographic area at bing.com/covid/dev or on GitHub. This dataset is pulled from publicly-available sources like the World Health Organization, Centers for Disease Control, and more. We then aggregate the data and add latitude and longitude information to it, to make it easier for you to use. Since COVID-19 data is constantly evolving, we have a 24 hour delay so we can ensure the stability of the data that we include. This data is available for non-commercial, public use geared towards medical researchers, government agencies, and academic institutions.”

Analytics India: A Beginner’s Guide To Using Google Colab

Analytics India: A Beginner’s Guide To Using Google Colab. “We are all familiar with the pop-up alerts of ‘memory-error’ while trying to work with a large dataset of machine learning (ML) or deep learning algorithms on Jupyter notebooks. On top of that, owning a decent GPU from an existing cloud provider has remained out of bounds due to the financial investment it entails. The machines at our disposal, unfortunately, do not have the unlimited computational ability. But the wait is finally over as we can now build large ML models without selling our properties. The credit goes to Google for launching the Colab – an online platform that allows anyone to train models with large datasets, absolutely free.”

ZDNet: Verizon introduces open-source, big data coronavirus search engine

ZDNet: Verizon introduces open-source, big data coronavirus search engine. “As we struggle to get a grip on exactly how COVID-19 makes us ill and what we can do about it, researchers have created over 50,000 articles. That’s a lot of information! So, how do you make sense of it all? Verizon Media is doing it by using Vespa. This is an open-source, big data processing program to create a coronavirus academic research search engine: CORD-19 Search.”

CU Boulder Today: Mathematician using Facebook data in the fight against COVID-19

CU Boulder Today: Mathematician using Facebook data in the fight against COVID-19. “CU Boulder researcher Daniel Larremore has never held a nasal swab and doesn’t wear scrubs. Instead, he relies on math to track the spread of human diseases. This week, Larremore and several colleagues from Colorado joined a nationwide study that seeks to use social media data to better understand how coronavirus cases might grow and travel in the coming weeks. The COVID-19 Mobility Data Network will draw on huge volumes of anonymized location information supplied by Facebook to follow how groups of people move from spot to spot over time. That will allow researchers like Larremore, an assistant professor in the Department of Computer Science and in the BioFrontiers Institute, to build maps that show where people are still traveling in the age of social distancing.”

EdScoop: Researchers publish social media data early for pandemic response

EdScoop: Researchers publish social media data early for pandemic response. “To help represent the spread and impact of the coronavirus pandemic, researchers at the Georgia State University on Monday released a data set of more than 140 million tweets related to COVID-19 as a resource for the global research community. The work is part of research that collects and tracks social media chatter to understand mobility patterns during natural disasters, but researchers decided to release their data before finalizing their own results to assist other researchers studying the current pandemic.”

Los Angeles Times: To aid coronavirus fight, The Times releases database of California cases

Los Angeles Times: To aid coronavirus fight, The Times releases database of California cases. “In an effort to aid scientists and researchers in the fight against COVID-19, The Times has released its database of California coronavirus cases to the public.To follow the virus’ spread, The Times is conducting an independent survey of dozens of local health agencies across the state. The effort, run continually throughout the day, supplies the underlying data for this site’s coronavirus tracker.”

BusinessWire: Free Accelerated Data Transfer Software for COVID-19 Researchers (PRESS RELEASE)

BusinessWire: Free Accelerated Data Transfer Software for COVID-19 Researchers (PRESS RELEASE). “High-performance data transfer software that can move files ranging from megabytes to terabytes among research institutions, cloud providers, and personal computers at speeds many times faster than traditional software…. Available immediately for an initial 90-day license; requests to extend licenses will be evaluated on a case-by-case basis to facilitate continued research.”

Phys .org: How to quickly and efficiently identify huge gene data sets to help coronavirus research

Phys .org: How to quickly and efficiently identify huge gene data sets to help coronavirus research. “Thanks to the advancement of sequencing technology, it’s possible to produce massive amounts of genome sequence data on various species. It’s crucial to examine pan-genomic data—the entire set of genes possessed by all members of a particular species—particularly in areas like bacteria and virus research, investigation of drug resistance mechanisms and vaccine development. For example, why is the coronavirus resistant to common drugs? Can big data help to rapidly identify the characteristics of such novel virus strains? A group of researchers supported by the EU-funded PANGAIA project is now tackling this challenge by developing methods for comparing gigantic gene data sets.”

USC Viterbi School of Engineering: USC Researchers Release Public Coronavirus Twitter Set for Academics

USC Viterbi School of Engineering: USC Researchers Release Public Coronavirus Twitter Set for Academics. “Researchers at the USC Viterbi School of Engineering Information Sciences Institute (ISI) and the Department of Computer Science have released a public coronavirus twitter dataset for scholars. Emilio Ferrara and Kristina Lerman, the principal researchers on this project, have a history of studying social media and bots to understand how misinformation, fear and influence spread online.”