China Daily: Big data plays major role in epidemic control. “Telecom carriers are using big data analysis to help fight the novel coronavirus outbreak, by leveraging the data pool of China’s billion-plus smartphone users. China Mobile, China Unicom and China Telecom are playing an active part in mining data insights to assist local governments in epidemic prevention and on the prerequisite of ensuring users’ data privacy.”
EurekAlert: ORNL researchers develop ‘multitasking’ AI tool to extract cancer data in record time. “To better leverage cancer data for research, scientists at [Oak Ridge National Laboratory] are developing an artificial intelligence-based natural language processing tool to improve information extraction from textual pathology reports. The project is part of a DOE-National Cancer Institute collaboration known as the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) that is accelerating research by merging cancer data with advanced data analysis and high-performance computing.”
Reuters: Facebook offers more data for research on impacts of social media. “Facebook said … the new expanded data set includes more than 38 million links with information on users’ reactions including views, clicks, shares and likes.”
Towards Data Science: How to start a Data Science Project using Google Cloud Platform. “GCP (Google Cloud Platform) is a cloud computing service offered by Google. For those of you that are not familiar with cloud service, it is basically using a network to connect to a remote machine that you rent, making computations on that machine and send back the result. It’s just like car renting.” Not for beginners.
CNET: Google’s incubator wants to make artists’ concert planning less dumb. “Google’s experimental start-up incubator Area 120 launched a new tool for the music industry Wednesday. Called Demand, it organizes Google search, YouTube and other data about artists so that promoters, managers, labels and other reps can plan live performances that, ideally, better fit the actual demand of fans.”
Route Fifty: Using Data to Ensure Equitable Funding for Parks. “Tactics vary from place to place, but each municipality highlighted in the report relied on data to make impartial decisions about funding. During the budget process in Detroit, for example, city officials use multiple data points—including housing prices, rates of childhood obesity, minority households, foreclosure rates and high rates of violent crime—to identify parks in every corner of the city that haven’t seen capital improvements in years, sometimes decades.”
Open Data Science: 7 Top Data Science Trends in 2020 to Be Excited About. “As a practicing data scientist, educator, and tech journalist, I automatically have three big motivations for keeping a constant pulse of the industry. Staying in tune with what’s happening, consuming all the news from the movers and shakers, and evaluating new and updated tools as they arrive, I can simultaneously fuel my ability to service my clients, teach my students, and also have fresh content to communicate with my readers. In this article, I’m happy to layout the data science trends I’m seeing in the near term, namely 2020, in terms of important trends in data science, machine learning, and AI. I’m impressed by what I’m seeing, and I’m looking forward to being down in the trenches with data science in 2020!”