Newswise: Cultural artifacts serve as “cognitive fossils,” helping uncover the psychology of the past

Newswise: Cultural artifacts serve as “cognitive fossils,” helping uncover the psychology of the past . “In a review published on November 2 in the journal Trends in Cognitive Sciences, researchers explain how modern computing methods like text mining, face detection algorithms, and melodic extraction programs can enable large-scale analysis of cultural artifacts such as paintings, stories, or clothing to uncover this psychological data.”

Call for Proposals: Better ways to help collect, understand and preserve the public’s documents (MuckRock)

MuckRock: Call for Proposals: Better ways to help collect, understand and preserve the public’s documents. “MuckRock’s first two rounds of Gateway Grantees are using DocumentCloud to reveal those secretly profiting from the destruction of Brazil’s rainforests, probe police misconduct in Chicago and much more. Now’s your chance to pitch a project that uses primary source documents to help inform and strengthen the public while leveraging AI, distributed storage and other leading technologies, baked right into DocumentCloud. Selected projects will receive funding of up to $50,000 as well as technical and editorial support.”

TechCrunch: How to ask OpenAI for your personal data to be deleted or not used to train its AIs

TechCrunch: How to ask OpenAI for your personal data to be deleted or not used to train its AIs . “While there are lots of reasons why individuals might want to shield their information from big data mining AI giants there are — for now — only limited controls on offer. And these limited controls are mostly only available to users in Europe where data protection laws do already apply. Scroll lower down for details on how to exercise available data rights — or read on for the context.”

Phys .org: Using social media activity to monitor and respond to population displacement in Ukraine

Phys .org: Using social media activity to monitor and respond to population displacement in Ukraine. “This new study, published in the Population and Development Review, provides an innovative metric to monitor population displacement in Ukraine following Russia’s invasion. The metric combines daily United Nations data on how many people are crossing the Ukrainian border with the researchers’ daily data on active Facebook users to monitor population displacement across Ukraine provinces.”

Google Blog: Using new technology and old books to combat disease

Google Blog: Using new technology and old books to combat disease. “Hundreds of millions of people are affected by insect-borne diseases every year, and climate change is only making the problem worse. Increases in temperature and rainfall have expanded the range of insects, including ticks and mosquitos, contributing to outbreaks of diseases such as dengue fever, lyme disease and malaria. Where can humanity find answers to the newest challenges? One idea: old books.”

Morgridge Institute for Research: New search app gleans ‘collective consciousness’ from a massive research database

Morgridge Institute for Research: New search app gleans ‘collective consciousness’ from a massive research database. “The PubMed database contains more than 33 million papers that represent the ‘collective consciousness’ of what humans know about biomedicine. It is impossible for researchers to keep up with this vast literature where more than 1,000 new papers get added daily. A new web application, KinderMiner Web, developed by Ron Stewart’s Bioinformatics Group at the Morgridge Institute for Research, gives researchers a fighting chance.”

The Conversation: Charities are contributing to growing mistrust of mental-health text support — here’s why

The Conversation: Charities are contributing to growing mistrust of mental-health text support — here’s why. “Like many areas of society, mental healthcare has changed drastically as a result of the pandemic. Forced to adapt to a growing demand for counselling and crisis services, mental health charities have had to quickly increase their digital services to meet the needs of their users…. Recently, two charities faced a public backlash as a result of how they used machine learning and handled data from users who contacted their mental health support services at a point of crisis.”

Inderscience: How to best analyze big social data

Inderscience: How to best analyze big social data . “Big data is big, as it were, and the buzz phrase is often accompanied by associated terms such as data mining, machine learning, computational intelligence, the semantic web, and social networks. Research published in the International Journal of Cloud Computing looks at big data in this context and asks how social big data might best be analyzed with state-of-the-art tools to allow us to extract new knowledge.”

New York Times: How Data Is Reshaping Real Estate

New York Times: How Data Is Reshaping Real Estate. “The added layers of technology in stores and entertainment venues — crowd-tracking cameras, information gleaned from smartphones, tallies of neighborhood foot traffic and sophisticated demographic data — aim to replicate the data measurement and analysis of the online experience. But privacy advocates are sounding the alarm about the technology as Big Tech is under increased scrutiny.”

Penn State News: What was really the secret behind Van Gogh’s success?

Penn State News: What was really the secret behind Van Gogh’s success?. “By using artificial intelligence to mine big data related to artists, film directors and scientists, the researchers discovered this pattern is not uncommon but, instead, a magical formula. Hot streaks, they found, directly result from years of exploration (studying diverse styles or topics) immediately followed by years of exploitation (focusing on a narrow area to develop deep expertise).”

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.”

Penn State: Mining Twitter data may help National Parks staff gather feedback faster

Penn State: Mining Twitter data may help National Parks staff gather feedback faster. “The National Park system has been referred to as one of America’s national treasures. A team of Penn State researchers in the department of Recreation, Park and Tourism Management and the Social Science Research Institute, report that mining tweets about the park may open up a rich vein of information that could lead to better service for park visitors while still protecting these national treasures and their wildlife.”

EurekAlert: KDD 2020 showcases brighest minds in data science and AI

EurekAlert: KDD 2020 showcases brighest minds in data science and AI. “The Association for Computing Machinery’s Special Interest Group on Knowledge Discovery and Data Mining (ACM SIGKDD) will hold its flagship annual conference, KDD 2020, virtually, August 23-27. The KDD conference series, started in 1989, is the world’s oldest and largest data mining conference, and is the venue where concepts such as big data, data science, predictive analytics and crowdsourcing were first introduced. Continuing this tradition, KDD 2020 will showcase leading-edge research papers in data science, data mining, knowledge discovery, large-scale data analytics and big data.”

Guelph Now: Researchers Develop New Method Of Analyzing Social Media Data To Identify Potential Disease Outbreaks

Guelph Now: Researchers Develop New Method Of Analyzing Social Media Data To Identify Potential Disease Outbreaks. “A new method to analyze social media data could help predict future outbreaks of diseases and viruses like COVID-19 and the measles. In a new study, researchers from the University of Waterloo examined computer simulations to develop a new method of analyzing interactions on social media that can predict when a disease outbreak is likely.”