The Guardian: Could the global Covid death toll be millions higher than thought?

The Guardian: Could the global Covid death toll be millions higher than thought?. “The World Mortality Dataset contains information on more than 100 countries. Among those missing are most African and many Asian countries, including some of the world’s most populous and – judging by news reports and other sources – worst-affected. India, for example, does not routinely release national vital data, yet some researchers estimate its Covid death toll could be as high as 4 million.”

SiliconANGLE: Tableau’s latest release adds new tools for scaling up data analytics

SiliconANGLE: Tableau’s latest release adds new tools for scaling up data analytics. “The company is framing Tableau 2021.3 as a major new release that’s meant to help organizations better manage the ‘data chaos’ that exists today and ensure superior governance of data as they expand their operations. There are a number of new features meant to ensure analytics can scale with enterprise demand, Tableau said.”

NIST: Putting Together the Big Picture for the World Trade Center Disaster Investigation

NIST: Putting Together the Big Picture for the World Trade Center Disaster Investigation. “We needed to be able to organize this material in such a way that the stills and clips could quickly and easily be called up to answer questions. NIST researchers would want to know such things as where and when fire or smoke was visible inside specific parts of the buildings, what time particular windows were broken, and which areas appeared to resist fire spread. By the time NIST was officially assigned the responsibility for an investigation into the collapse of the WTC towers, we had already selected a digital asset management software system, thought out how a database might be used by researchers, developed search terms, and started to populate that database with early sets of photographs.”

Quanta Magazine: How Big Data Carried Graph Theory Into New Dimensions

Quanta Magazine: How Big Data Carried Graph Theory Into New Dimensions. “Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way to model real-world phenomena since at least the 18th century. But a few decades ago, the emergence of giant data sets forced researchers to expand their toolboxes and, at the same time, gave them sprawling sandboxes in which to apply new mathematical insights. Since then, said Josh Grochow, a computer scientist at the University of Colorado, Boulder, there’s been an exciting period of rapid growth as researchers have developed new kinds of network models that can find complex structures and signals in the noise of big data.”

Psychology Today: The Diversity Problem in Face Research

Psychology Today: The Diversity Problem in Face Research. “In a recent paper published in Methods in Psychology, we describe a novel tool for connecting face researchers to the image databases best suited to their research: the ‘Face Image Meta-Database,’ or ‘fIMDb’ for short (Workman & Chatterjee, 2021). The fIMDb is a ‘meta-database’ that indexes known face databases, their characteristics, and how to access them. The fIMDb enables users to build custom searches that, importantly, can be used to filter out stimulus sets with limited diversity. The fIMDb also allows user submissions of new databases and revisions to existing databases. To date, the fIMDb links to 127 different sources for faces that together contain over 4 million images.”

Analytics India: Tech Behind Storywrangler, The Analytics Tool Crawling Billions Of Social Media Posts

Analytics India: Tech Behind Storywrangler, The Analytics Tool Crawling Billions Of Social Media Posts . “In a research paper, ‘Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter,’ researchers from the University of Vermont, in collaboration with Charles River Analytics, and MassMutual Data Science, detailed the working of a tool that curated over 150 billion tweets containing 1 trillion 1-grams from 2008 to 2021.”

Texas A&M: Big data-derived tool facilitates closer monitoring of recovery from natural disasters

Texas A&M: Big data-derived tool facilitates closer monitoring of recovery from natural disasters. “By analyzing peoples’ visitation patterns to essential establishments like pharmacies, religious centers and grocery stores during Hurricane Harvey, researchers at Texas A&M University have developed a framework to assess the recovery of communities after natural disasters in near real time. They said the information gleaned from their analysis would help federal agencies allocate resources equitably among communities ailing from a disaster.”

Navigating the unCHARTed: web tool explores public sequencing data for cancer research (Morgridge Institute for Research)

Morgridge Institute for Research: Navigating the unCHARTed: web tool explores public sequencing data for cancer research. “In the past, traditional RNA sequencing methods were limited to bulk gene expression profiles averaging thousands of cells; but the development of single-cell RNA sequencing technology has helped cancer biologists better understand the specific mechanisms that lead to tumor heterogeneity and drug resistance. However, these large, complex datasets are often difficult to navigate. Morgridge Postdoctoral Fellow Matthew Bernstein developed a web tool to explore these public datasets and facilitate analysis for cancer researchers.”

The Drive: Use Our New Tool To Explore Thousands Of FAA Drone And Unidentified Aircraft Incident Reports

The Drive: Use Our New Tool To Explore Thousands Of FAA Drone And Unidentified Aircraft Incident Reports. “We are excited to announce the launch of our new interactive tool that maps and makes searchable thousands of unmanned aircraft system (UAS) and unidentified aircraft incident reports. The vast dataset is drawn from information compiled by the Federal Aviation Administration. Some of the reports are highly unusual, going far beyond typical low-altitude drone mishaps.”

University of New Orleans: Literature Professor Jacinta Saffold Uses Digital Humanities Projects To Explore Black Peoples’ Influence on Pop Culture

University of New Orleans: Literature Professor Jacinta Saffold Uses Digital Humanities Projects To Explore Black Peoples’ Influence on Pop Culture. “When the coronavirus pandemic forced courses to be delivered online, University of New Orleans African American literature professor Jacinta Saffold created a research project aimed at keeping her students engaged while also conducting original research…. The result was a digital humanities dataset called, ‘The Hype Williams Effect Project,’ a literary compilation that helps document Black people’s influence on contemporary popular culture via the expansive career of hip hop music video director Harold ‘Hype’ Williams.” Professor Saffold is also working on ‘The Essence Book Project’ digital archive.

Google Blog: A Dataset for Studying Gender Bias in Translation

Google AI Blog: A Dataset for Studying Gender Bias in Translation. “To help facilitate progress against the common challenges on contextual translation (e.g., pronoun drop, gender agreement and accurate possessives), we are releasing the Translated Wikipedia Biographies dataset, which can be used to evaluate the gender bias of translation models. Our intent with this release is to support long-term improvements on ML systems focused on pronouns and gender in translation by providing a benchmark in which translations’ accuracy can be measured pre- and post-model changes.”