InformationWeek: COVID-19: Using Data to Map Infections, Hospital Beds, and More. “The spread of the novel coronavirus, COVID-19, and the resources to fight it, are being tracked and mapped by governments and other organizations in the US and the world. Here’s how they are doing it.”
data analysis
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.”
Phys .org: With 30,000 surveys, researchers build the go-to dataset for smallholder farms
Phys .org: With 30,000 surveys, researchers build the go-to dataset for smallholder farms . “Top-down projects for improving the lives of poor farmers were often unsuccessful because they didn’t systematically consider the diverse rural households survive and thrive. To tap this local knowledge, scientists and development agencies began surveying households to assure that research and development schemes were on target. But the surveys were not designed to be compared with one another, lacking what scientists call ‘interoperability’—meaning one organization’s household surveys could not be compared with another’s. For big-picture analysis, much of the data was of little use.”
Phys .org: Big data helps farmers adapt to climate variability
Phys .org: Big data helps farmers adapt to climate variability. “A new Michigan State University study shines a light on how big data and digital technologies can help farmers better adapt to threats—both present and future—from a changing climate.”
Medium: How Much Data Is Too Much Data? — Federating Data in the Age of Connectivity
Medium: How Much Data Is Too Much Data? — Federating Data in the Age of Connectivity. “It is projected that every day humans produce approximately 2.5 quintillion bytes of data. With this insane amount of new data, surely some of it must be redundant, right? For data science, analytics, and machine learning, this increase in the amount of data available leads to previously unthinkable new avenues for research. But while more and more data is being harvested for a variety of reasons, could better curation of the data we have already collected lead to better outcomes for research?”
