New Hampshire Drug Overdoses, Capitol Riot Map, Science Fair Projects, More: Monday Afternoon ResearchBuzz, March 21, 2022


New Hampshire Bulletin: Little by little, the state is seeing progress in its efforts to reduce drug overdose deaths. “There is no question the state has made progress fighting the drug overdose epidemic. But evaluating that success – and deciding where to invest resources – requires looking at the details, not a single metric…. The Department of Health and Human Services also just unveiled a new website tracking trends associated with opioid use and the outcomes of treatment.”

Radical Reports: Capitol Riot Map: Briefing & Updates. “The Capitol Riot Insurrectionists Networks is a project to map the networks of the more than 700 individuals who have been arrested and charged in connection to the Capitol Riot on January 6th, as well as the more than 100 individuals and organizations issued subpoenas by the U.S. House Select Committee on the January 6 Attack.”

Spotted on Reddit and hosted on GitHub: ISEF Database. In this case ISEF is the International Science and Engineering Fair. “This is a simple web scraper which gets all of the projects and abstract information from Science for Society’s website… I want someone to get inspired to do a ‘meta’ science fair project.” Looks like it’s available either as a Kaggle notebook or a delimited text file of information.


New York Times: Brazil Lifts Its Ban on Telegram After Two Days. “Brazil’s Supreme Court blocked Telegram on Friday. The messaging app then responded with measures to fight misinformation, and the court quickly lifted its ban.”

Ghacks: Google replaces reverse image search option in Chrome with Google Lens option. “Google Chrome users who have used the built-in reverse image search option of the web browser recently may have discovered that Google removed the option from Chrome. Right-clicking on images displays the new ‘search image with Google Lens’ option now in the browser and no longer the ‘search for image’ option.”


Online Journalism Blog: VIDEO PLAYLIST: Finding stories in company accounts. “Company accounts can be a goldmine of story leads — from ‘following the money’ and uncovering complex webs of relationships, to simply reporting concerns and individual payments. I’ve put together a playlist of videos covering a number of different techniques you can use to find stories.”


Reuters: China requires Microsoft’s Bing to suspend auto-suggest feature. “Microsoft Corp’s Bing, the only major foreign search engine available in China, said a ‘relevant government agency’ has required it to suspend its auto-suggest function in China for seven days. The suspension marks the second of its kind for Bing since December, and arrives amid an ongoing crackdown on technology platforms and algorithms from Beijing.”


Ubergizmo: Fake Chrome Windows Make It Easier To Phish For Your Credentials. “One piece of advice that you usually hear and read to prevent yourself from being phished is to check the URL of the website you’re visiting. This is because if you’re trying to log into Facebook but the URL says something different, there is a very good chance that you’re being phished. You can also check URLs of popup windows used for single sign-ons like Google, Apple, Facebook, and so on, but thanks to security researcher mr.d0x, he has created a new Browser-in-the-Browser attack which in theory would let hackers recreate SSOs that display the ‘correct’ URL, thus fooling users into possibly handing over their login credentials.”

OpenGov Asia: New National Resilience Database Launched in Australia. “A tech start-up has launched a new digital initiative that seeks to reinvent the way the federal government responds to a crisis by giving them ready access to needed digital skills. The new National Resilience Database will allow Australian citizens with digital skills to register to volunteer their skills to government agencies during disasters and be paid for their contributions.


The Conversation: How AI helped deliver cash aid to many of the poorest people in Togo. “The simple idea behind this approach, as we explained in the journal Nature on March 16, 2022, is that wealthy people use phones differently from poor people. Their phone calls and text messages follow different patterns, and they use different data plans, for example. Machine learning algorithms – which are fancy tools for pattern recognition – can be trained to recognize those differences and infer whether a given mobile subscriber is wealthy or poor.” Good afternoon, Internet…

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