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.”

SingularityHub: Coronavirus: Seven Ways Collective Intelligence Is Tackling the Pandemic

SingularityHub: Coronavirus: Seven Ways Collective Intelligence Is Tackling the Pandemic. “Advances in digital technologies have transformed what can be achieved through collective intelligence in recent years—connecting more of us, augmenting human intelligence with machine intelligence, and helping us to generate new insights from novel sources of data. It is particularly suited to addressing fast-evolving, complex global problems such as disease outbreaks. Here are seven ways it is tackling the coronavirus pandemic.”

Phys .org: ‘Data feminism’ examines problems of bias and power that beset modern information

Phys .org: ‘Data feminism’ examines problems of bias and power that beset modern information. “Suppose you would like to know mortality rates for women during childbirth, by country, around the world. Where would you look? One option is the WomanStats Project, the website of an academic research effort investigating the links between the security and activities of nation-states, and the security of the women who live in them.”

MIT News: Historic migration patterns are written in Americans’ DNA

MIT News: Historic migration patterns are written in Americans’ DNA. “Studies of DNA from ancient human fossils have helped scientists to trace human migration routes around the world thousands of years ago. But can modern DNA tell us anything about more recent movements, especially in an ancestrally diverse melting pot like the United States? To find out, researchers from the Broad Institute of MIT and Harvard, Massachusetts General Hospital (MGH), and Massachusetts Institute of Technology (MIT) analyzed data provided by more than 32,000 Americans as part of the National Geographic Society’s Genographic Project.”

Analytics India Magazine: 10 Face Datasets To Start Facial Recognition Projects

Analytics India Magazine: 10 Face Datasets To Start Facial Recognition Projects. “One of the major research areas, facial recognition has been adopted by governments and organisations for a few years now. Leading phone makers like Apple, Samsung, among others, have been integrating this technology into their smartphones for providing maximum security to the users. As per research, facial recognition technology is expected to grow and reach $9.6 billion by 2020. In this article, we list down 10 face datasets which can be used to start facial recognition projects.”