Female experts in cyber harassment, slavery and climate change have been awarded hundreds of thousands of pounds as part of an annual fellowship recognising 26 young “geniuses”. Since 1981, The John D. and Catherine T. MacArthur Foundation’s so-called “genius” fellowship grants are awarded annually to individuals, not institutions, to “pursue their own creative, intellectual, and professional inclinations,” according to the foundation. Criteria for the awards include “exceptional creativity” the “promise for important future advances based on a track record of significant accomplishments,” and a potential to produce new work. The foundation has named 1,040 geniuses since 1981. The grants are not conditional or relative to specific projects, however; the quarterly stipend supports recipients’ abilities to “exercise their own creative instincts for the benefit of human society.” We’ll tell you what’s true. You can form your own view. From 15p €0.18 $0.18 USD 0.27 a day, more exclusives, analysis and extras. “From addressing the consequences of climate change to furthering our understanding of human behaviour to fusing forms of artistic expression, this year’s 26 extraordinary MacArthur Fellows demonstrate the power of individual creativity to reframe old problems, spur reflection, create new knowledge, and better the world for everyone”, MacArthur president John Palfrey said in a statement. “They give us reason for hope, and they inspire us all to follow our own creative instincts.” Fellows include geochemist and paleoclimatologist Andrea Dutton and theoretical geophysicist Jerry X Mitrovica, whose works explore sea level rise, and marine scientist Stacy Jupiter, who studies conservation strategies to protect ecosystems and coastal communities. Shape Created with Sketch. Photos exposing our planet’s problems – from climate change to poverty Show all...
Did I mention how awesome it is to live 30 minutes from a ski lift? In March of 2016, I launched a course called The Complete Guide to Rails Performance. Since then, I have sold just over 500 copies, for gross revenue of $131,521.20 ($1050/week). Although I launched the course in March, I had worked on it for about 4 months. Releasing the course has been a lifechanging event for me. For the first time ever, I made more money over a year from product revenue rather than service revenue. Releasing the course nearly doubled my usual freelancing rate, allowed me to change my lifestyle by moving to a ski resort town in New Mexico, and turned me into something of a minor Thought Leader ™ in the Ruby on Rails field. In this post, I’d like to share my process for creating The Complete Guide to Rails Performance (henceforth “the CGRP”), what I’d do differently in the future, and how creating a programming information product radically changed my freelance career. It would be immensely helpful to me if other programming authors (self-published or not) would email me to share their own experiences and results. I’m not sure if I’m an outlier or just the average case! The Path to Making Money While You Sleep I ain’t programmin’ here no mo’! I was on the first season of ABC’s Shark Tank when I was only 18 years old. I think “product money” is the eventual goal for nearly all freelancers or solopreneurs. There’s probably a lot of developers sitting on the sidelines too wishing they could tell their boss...
Here’s How Lemonade, The Insurance App, Has Made Some Big Moves in the World of Insurance With These 4 Surreal Features Here’s How Lemonade, The Insurance App, Has Made Some Big Moves in the World of Insurance With These 4 Surreal Features This story lies information for financial technology startups and agencies, who want to create an insurance app like Lemonade. Herein we’ve rounded up four surreal features that you can give a thought. Time has changed. Today, people spend a huge time on their smartphones, and it is continuing to grow every year. As the devices are becoming more sophisticated, the number of activities that we can do on mobile is also increasing. And, it means that we are more likely to use mobile apps with greater frequency. That being also said that there is an app for everything from hiring a cab, tracking sleep activity to ordering food on-demand. Here, we will talk about the insurance app, which is known as Lemonade. This insurance app has made some big moves in the world of insurance. As per the latest report from TechCrunch, “Lemonade company uses AI (Artificial Intelligence) and chatbots to sell insurance”. Indeed, insurance is a pretty tricky business niche that depends on a lot of data science to right-size coverage. Lemonade is one of the first completely new entrants in the market to design a soup-to-nuts insurance business for the smartphone era. As per another report from TechCrunch, “Lemonade company has raised a total of $180 million, including a whopping $120 million round by SoftBank in December 2017.” Lemonade: The Insurance App A fully licensed...
By Sandra Guile Better Business Bureau October is National Cyber Security Awareness Month (NCSAM) created by the U.S. Department of Homeland Security and National Cyber Security Alliance to ensure everyone has the resources they need to stay safe and secure online. This year’s theme is: Own It. Secure It. Protect It. #BeCyberSmart. Own It. Understand your digital profile. Internet-based digital devices are everywhere. Without realizing it, they’ve crept into almost every aspect of our personal and professional part of lives: home, school, work, wearables, and automobiles. This presents plenty of opportunities for cyber threats to compromise personal information. Having a healthy understanding of what’s being shared, how it’s stored and where the information is stored is a start to protecting your data. Limit the types of information posted on social media—from personal addresses, to where you like to grab a coffee. What many people don’t realize is that these seemingly innocent details are all criminals need to know to target you, your loved ones and your physical belongings—online and in the physical world. Secure It. Cybercriminals are very good at getting personal information from unsuspecting victims or people who think they cannot become a victim. The methods that are being used are becoming more sophisticated as technology evolves, yet the methods to acquire passwords or usernames may be as simple as sending an email or text asking for the information. Add layers of protection by using multi-factor authentication and increasing your awareness of what’s coming into your email box. Then, shake up your password protocol by coming up with the longest, most creative passwords for social media and financial...
To speak bluntly, when it comes to its visualization capabilities, Tableau, while it appears so promising, astonishingly lacks in its ability to integrate seamlessly with statistical, hypothesis-driven testing. You may be let down constantly if you feel the need to not only visualize but compare your set of observations between groups on hard statistical grounds. Hence, one must admit that there is still a strong value gap between visualization tools like Tableau, and pure statistical software such as Minitab, SPSS, SAS, and, of course, the humble yet tremendously powerful and open source workhorse, R. Tables and corresponding computations, at least at the time of writing this piece, are not able to support statistical testing, such as testing for normality, pairwise comparisons, accounting for interactions between variables, linear regression, logistics regression modeling, and, in general, statistical modeling capabilities. As of now, only basic statistical measures (central tendencies and measures of variation) can be computed. Here’s some example data I’ve been playing with: As I look at the above shipping costs, a question comes to mind: How do I form a hypothesis about whether shipping cost varies by sub-category or not? All I can get from Tableau is perhaps a box plot to visually compare costs. Is that enough? Of course not. What I would like to do is to find the average or mean shipping cost for each category or sub-category and then form a simple yes/no hypothesis. Sadly, Tablau falls silent on this question. Maybe we can try different types of charts or compare data visually/manually across or down a table. Typical Tableau users may find themselves constrained if they...
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