Hernandez was able to evade capture for so long because he used Tails, a version of Linux designed for users at high risk of surveillance and which routes all inbound and outbound connections through the open-source Tor network to anonymize it. According to Vice, the FBI had tried to hack into Hernandez’s computer but failed, as the approach they used “was not tailored for Tails.” Hernandez then proceeded to mock the FBI in subsequent messages, two Facebook employees told Vice.
Facebook had tasked a dedicated employee to unmasking Hernandez, developed an automated system to flag recently created accounts that messaged minors, and made catching Hernandez a priority for its security teams, according to Vice. They also paid a third party contractor “six figures” to help develop a zero-day exploit in Tails: a bug in its video player that enabled them to retrieve the real I.P. address of a person viewing a clip. Three sources told Vice that an intermediary passed the tool onto the FBI, who then obtained a search warrant to have one of the victims send a modified video file to Hernandez (a tactic the agency has used before).
Facebook also never notified the Tails team of the flaw — breaking with a long industry tradition of disclosure in which the relevant developers are notified of vulnerabilities in advance of them becoming public so they have a chance at implementing a fix. Sources told Vice that since an upcoming Tails update was slated to strip the vulnerable code, Facebook didn’t bother to do so, though the social media company had no reason to believe Tails developers had ever discovered the bug.
“The only acceptable outcome to us was Buster Hernandez facing accountability for his abuse of young girls,” a Facebook spokesperson told Vice. “This was a unique case, because he was using such sophisticated methods to hide his identity, that we took the extraordinary steps of working with security experts to help the FBI bring him to justice.”
I agree with that last paragraph. I’m fine with the FBI using vulnerabilities: lawful hacking, it’s called. I’m less okay with Facebook paying for a Tails exploit, giving it to the FBI, and then keeping its existence secret.
Prepare for another attack on encryption in the U.S. The EARN-IT Act purports to be about protecting children from predation, but it’s really about forcing the tech companies to break their encryption schemes:
The EARN IT Act would create a “National Commission on Online Child Sexual Exploitation Prevention” tasked with developing “best practices” for owners of Internet platforms to “prevent, reduce, and respond” to child exploitation. But far from mere recommendations, those “best practices” would be approved by Congress as legal requirements: if a platform failed to adhere to them, it would lose essential legal protections for free speech.
It’s easy to predict how Attorney General William Barr would use that power: to break encryption. He’s said over and over that he thinks the “best practice” is to force encrypted messaging systems to give law enforcement access to our private conversations. The Graham-Blumenthal bill would finally give Barr the power to demand that tech companies obey him or face serious repercussions, including both civil and criminal liability. Such a demand would put encryption providers like WhatsApp and Signal in an awful conundrum: either face the possibility of losing everything in a single lawsuit or knowingly undermine their users’ security, making all of us more vulnerable to online criminals.
The new bill, out of Lindsey Graham’s Judiciary committee, is designed to force providers to either solve the encryption-while-scanning problem, or stop using encryption entirely. And given that we don’t yet know how to solve the problem — and the techniques to do it are basically at the research stage of R&D — it’s likely that “stop using encryption” is really the preferred goal.
EARN IT works by revoking a type of liability called Section 230 that makes it possible for providers to operate on the Internet, by preventing the provider for being held responsible for what their customers do on a platform like Facebook. The new bill would make it financially impossible for providers like WhatsApp and Apple to operate services unless they conduct “best practices” for scanning their systems for CSAM.
Since there are no “best practices” in existence, and the techniques for doing this while preserving privacy are completely unknown, the bill creates a government-appointed committee that will tell technology providers what technology they have to use. The specific nature of the committee is byzantine and described within the bill itself. Needless to say, the makeup of the committee, which can include as few as zero data security experts, ensures that end-to-end encryption will almost certainly not be considered a best practice.
So in short: this bill is a backdoor way to allow the government to ban encryption on commercial services. And even more beautifully: it doesn’t come out and actually ban the use of encryption, it just makes encryption commercially infeasible for major providers to deploy, ensuring that they’ll go bankrupt if they try to disobey this committee’s recommendations.
It’s the kind of bill you’d come up with if you knew the thing you wanted to do was unconstitutional and highly unpopular, and you basically didn’t care.
Whisper, the secret-sharing app that called itself the “safest place on the Internet,” left years of users’ most intimate confessions exposed on the Web tied to their age, location and other details, raising alarm among cybersecurity researchers that users could have been unmasked or blackmailed.
The records were viewable on a non-password-protected database open to the public Web. A Post reporter was able to freely browse and search through the records, many of which involved children: A search of users who had listed their age as 15 returned 1.3 million results.
The exposed records did not include real names but did include a user’s stated age, ethnicity, gender, hometown, nickname and any membership in groups, many of which are devoted to sexual confessions and discussion of sexual orientation and desires.
The data also included the location coordinates of the users’ last submitted post, many of which pointed back to specific schools, workplaces and residential neighborhoods.
Or homes. I hope people didn’t confess things from their bedrooms.
Here’s a crazystory from the UK. Basically, someone sees a man and a little girl leaving a shopping center. Instead of thinking “it must be a father and daughter, which happens millions of times a day and is perfectly normal,” he thinks “this is obviously a case of child abduction and I must alert the authorities immediately.” And the police, instead of thinking “why in the world would this be a kidnapping and not a normal parental activity,” thinks “oh my god, we must all panic immediately.” And they do, scrambling helicopters, searching cars leaving the shopping center, and going door-to-door looking for clues. Seven hours later, the police eventually came to realize that she was safe asleep in bed.
Can we agree that something is wrong when we leap to the worst possible conclusion upon seeing something that is actually nice? In an email Furedi added that now, “Some fathers told me that they think and look around before they kiss their kids in public. Society is all too ready to interpret the most innocent of gestures as a prelude to abusing a child.”
So our job is to try to push the re-set button.
If you see an adult with a child in plain daylight, it is not irresponsible to assume they are caregiver and child. Remember the stat from David Finkelhor, head of the Crimes Against Children Research Center at the University of New Hampshire. He has heard of NO CASE of a child kidnapped from its parents in public and sold into sex trafficking.
We are wired to see “Taken” when we’re actually witnessing something far less exciting called Everyday Life. Let’s tune in to reality.
This is the problem with the “see something, say something” mentality. As I wrote back in 2007:
If you ask amateurs to act as front-line security personnel, you shouldn’t be surprised when you get amateur security.
We have seen a lot of discussion this past week about the role of Amazon Rekognition in facial recognition, surveillance, and civil liberties, and we wanted to share some thoughts.
Amazon Rekognition is a service we announced in 2016. It makes use of new technologies – such as deep learning – and puts them in the hands of developers in an easy-to-use, low-cost way. Since then, we have seen customers use the image and video analysis capabilities of Amazon Rekognition in ways that materially benefit both society (e.g. preventing human trafficking, inhibiting child exploitation, reuniting missing children with their families, and building educational apps for children), and organizations (enhancing security through multi-factor authentication, finding images more easily, or preventing package theft). Amazon Web Services (AWS) is not the only provider of services like these, and we remain excited about how image and video analysis can be a driver for good in the world, including in the public sector and law enforcement.
There have always been and will always be risks with new technology capabilities. Each organization choosing to employ technology must act responsibly or risk legal penalties and public condemnation. AWS takes its responsibilities seriously. But we believe it is the wrong approach to impose a ban on promising new technologies because they might be used by bad actors for nefarious purposes in the future. The world would be a very different place if we had restricted people from buying computers because it was possible to use that computer to do harm. The same can be said of thousands of technologies upon which we all rely each day. Through responsible use, the benefits have far outweighed the risks.
Customers are off to a great start with Amazon Rekognition; the evidence of the positive impact this new technology can provide is strong (and growing by the week), and we’re excited to continue to support our customers in its responsible use.
-Dr. Matt Wood, general manager of artificial intelligence at AWS
“Most commonly we have unsolicited calls to potential victims in Australia, purporting to represent the people in authority in China and suggesting to intending victims here they have been involved in some sort of offence in China or elsewhere, for which they’re being held responsible,” Commander McLean said.
The scammers threaten the students with deportation from Australia or some kind of criminal punishment.
The victims are then coerced into providing their identification details or money to get out of the supposed trouble they’re in.
Commander McLean said there are also cases where the student is told they have to hide in a hotel room, provide compromising photos of themselves and cut off all contact.
This simulates a kidnapping.
“So having tricked the victims in Australia into providing the photographs, and money and documents and other things, they then present the information back to the unknowing families in China to suggest that their children who are abroad are in trouble,” Commander McLean said.
“So quite circular in a sense…very skilled, very cunning.”
Earlier this year on 3 and 4 March, communities around the world held Raspberry Jam events to celebrate Raspberry Pi’s sixth birthday. We sent out special birthday kits to participating Jams — it was amazing to know the kits would end up in the hands of people in parts of the world very far from Raspberry Pi HQ in Cambridge, UK.
The Raspberry Jam Camer team: Damien Doumer, Eyong Etta, Loïc Dessap and Lionel Sichom, aka Lionel Tellem
Preparing for the #PiParty
One birthday kit went to Yaoundé, the capital of Cameroon. There, a team of four students in their twenties — Lionel Sichom (aka Lionel Tellem), Eyong Etta, Loïc Dessap, and Damien Doumer — were organising Yaoundé’s first Jam, called Raspberry Jam Camer, as part of the Raspberry Jam Big Birthday Weekend. The team knew one another through their shared interests and skills in electronics, robotics, and programming. Damien explains in his blog post about the Jam that they planned ahead for several activities for the Jam based on their own projects, so they could be confident of having a few things that would definitely be successful for attendees to do and see.
Show-and-tell at Raspberry Jam Cameroon
Loïc presented a Raspberry Pi–based, Android app–controlled robot arm that he had built, and Lionel coded a small video game using Scratch on Raspberry Pi while the audience watched. Damien demonstrated the possibilities of Windows 10 IoT Core on Raspberry Pi, showing how to install it, how to use it remotely, and what you can do with it, including building a simple application.
Loïc showcases the prototype robot arm he built
There was lots more too, with others discussing their own Pi projects and talking about the possibilities Raspberry Pi offers, including a Pi-controlled drone and car. Cake was a prevailing theme of the Raspberry Jam Big Birthday Weekend around the world, and Raspberry Jam Camer made sure they didn’t miss out.
Yay, birthday cake!!
A big success
Most visitors to the Jam were secondary school students, while others were university students and graduates. The majority were unfamiliar with Raspberry Pi, but all wanted to learn about Raspberry Pi and what they could do with it. Damien comments that the fact most people were new to Raspberry Pi made the event more interactive rather than creating any challenges, because the visitors were all interested in finding out about the little computer. The Jam was an all-round success, and the team was pleased with how it went:
What I liked the most was that we sensitized several people about the Raspberry Pi and what one can be capable of with such a small but powerful device. — Damien Doumer
The Jam team rounded off the event by announcing that this was the start of a Raspberry Pi community in Yaoundé. They hope that they and others will be able to organise more Jams and similar events in the area to spread the word about what people can do with Raspberry Pi, and to help them realise their ideas.
Raspberry Jam Camer gets the thumbs-up
The Raspberry Pi community in Cameroon
In a French-language interview about their Jam, the team behind Raspberry Jam Camer said they’d like programming to become the third official language of Cameroon, after French and English; their aim is to to popularise programming and digital making across Cameroonian society. Neither of these fields is very familiar to most people in Cameroon, but both are very well aligned with the country’s ambitions for development. The team is conscious of the difficulties around the emergence of information and communication technologies in the Cameroonian context; in response, they are seizing the opportunities Raspberry Pi offers to give children and young people access to modern and constantly evolving technology at low cost.
Well, we actually won’t show you how we create the magic in our big OATH consumer mail factory. But nevertheless we wanted to share how interested developers could leverage some of our unique features we offer for our Yahoo and AOL Mail customers.
To drive experiences like our travel and shopping smart views or message threading, we tag qualified mails with something we call DECOS and THREADID. While we will not indulge in explaining how exactly we use them internally, we wanted to share how they can be used and accessed through IMAP.
So let’s just look at a sample IMAP command chain. We’ll just assume that you are familiar with the IMAP protocol at this point and you know how to properly talk to an IMAP server.
So here’s how you would retrieve DECO and THREADIDs for specific messages:
Earlier this spring, an excited group of STEM educators came together to participate in the first ever Raspberry Pi and Arduino workshop in Puerto Rico.
Their three-day digital making adventure was led by MakerTechPR’s José Rullán and Raspberry Pi Certified Educator Alex Martínez. They ran the event as part of the Robot Makers challenge organized by Yees! and sponsored by Puerto Rico’s Department of Economic Development and Trade to promote entrepreneurial skills within Puerto Rico’s education system.
Over 30 educators attended the workshop, which covered the use of the Raspberry Pi 3 as a computer and digital making resource. The educators received a kit consisting of a Raspberry Pi 3 with an Explorer HAT Pro and an Arduino Uno. At the end of the workshop, the educators were able to keep the kit as a demonstration unit for their classrooms. They were enthusiastic to learn new concepts and immerse themselves in the world of physical computing.
In their first session, the educators were introduced to the Raspberry Pi as an affordable technology for robotic clubs. In their second session, they explored physical computing and the coding languages needed to control the Explorer HAT Pro. They started off coding with Scratch, with which some educators had experience, and ended with controlling the GPIO pins with Python. In the final session, they learned how to develop applications using the powerful combination of Arduino and Raspberry Pi for robotics projects. This gave them a better understanding of how they could engage their students in physical computing.
“The Raspberry Pi ecosystem is the perfect solution in the classroom because to us it is very resourceful and accessible.” – Alex Martínez
Computer science and robotics courses are important for many schools and teachers in Puerto Rico. The simple idea of programming a microcontroller from a $35 computer increases the chances of more students having access to more technology to create things.
Puerto Rico’s education system has faced enormous challenges after Hurricane Maria, including economic collapse and the government’s closure of many schools due to the exodus of families from the island. By attending training like this workshop, educators in Puerto Rico are becoming more experienced in fields like robotics in particular, which are key for 21st-century skills and learning. This, in turn, can lead to more educational opportunities, and hopefully the reopening of more schools on the island.
“We find it imperative that our children be taught STEM disciplines and skills. Our goal is to continue this work of spreading digital making and computer science using the Raspberry Pi around Puerto Rico. We want our children to have the best education possible.” – Alex Martínez
After attending Picademy in 2016, Alex has integrated the Raspberry Pi Foundation’s online resources into his classroom. He has also taught small workshops around the island and in the local Puerto Rican makerspace community. José is an electrical engineer, entrepreneur, educator and hobbyist who enjoys learning to use technology and sharing his knowledge through projects and challenges.
Join us as we celebrate the Year of Engineering in the newest issue of Hello World, our magazine for computing and digital making educators.
Inspiring future engineers
We’ve brought together a wide range of experts to share their ideas and advice on how to bring engineering to your classroom — read issue 5 to find out the best ways to inspire the next generation.
Plus we’ve got plenty on GP and Scratch, we answer your latest questions, and we bring you our usual collection of useful features, guides, and lesson plans.
Highlights of issue 5 include:
The bluffers’ guide to putting together a tech-themed school trip
Inclusion, and coding for the visually impaired
Getting students interested in databases
Why copying may not always be a bad thing
How to get Hello World #5
Hello World is available as a free download under a Creative Commons license for everyone in world who is interested in computer science and digital making education. Get the latest issue as a PDF file straight from the Hello World website.
We’re currently offering free print copies of the magazine to serving educators in the UK. This offer is open to teachers, Code Club and CoderDojo volunteers, teaching assistants, teacher trainers, and others who help children and young people learn about computing and digital making. Subscribe to have your free print magazine posted directly to your home, or subscribe digitally — 20000 educators have already signed up to receive theirs!
Get in touch!
You could write for us about your experiences as an educator, and share your advice with the community. Wherever you are in the world, get in touch by emailing our editorial team about your article idea — we would love to hear from you!
This video demos a real-like Pokedex, complete with visual recognition, that I created using a Raspberry Pi, Python, and Deep Learning. You can find the entire blog post, including code, using this link: https://www.pyimagesearch.com/2018/04/30/a-fun-hands-on-deep-learning-project-for-beginners-students-and-hobbyists/ Music credit to YouTube user “No Copyright” for providing royalty free music: https://www.youtube.com/watch?v=PXpjqURczn8
The history of Pokémon in 30 seconds
The Pokémon franchise was created by video game designer Satoshi Tajiri in 1995. In the fictional world of Pokémon, Pokémon Trainers explore the vast landscape, catching and training small creatures called Pokémon. To date, there are 802 different types of Pokémon. They range from the ever recognisable Pikachu, a bright yellow electric Pokémon, to the highly sought-after Shiny Charizard, a metallic, playing-card-shaped Pokémon that your mate Alex claims she has in mint condition, but refuses to show you.
In the world of Pokémon, children as young as ten-year-old protagonist and all-round annoyance Ash Ketchum are allowed to leave home and wander the wilderness. There, they hunt vicious, deadly creatures in the hope of becoming a Pokémon Master.
Adrian’s deep learning Pokédex
Adrian is a bit of a deep learning pro, as demonstrated by his Santa/Not Santa detector, which we wrote about last year. For that project, he also provided a great explanation of what deep learning actually is. In a nutshell:
…a subfield of machine learning, which is, in turn, a subfield of artificial intelligence (AI).While AI embodies a large, diverse set of techniques and algorithms related to automatic reasoning (inference, planning, heuristics, etc), the machine learning subfields are specifically interested in pattern recognition and learning from data.
As with his earlier Raspberry Pi project, Adrian uses the Keras deep learning model and the TensorFlow backend, plus a few other packages such as Adrian’s own imutils functions and OpenCV.
Adrian trained a Convolutional Neural Network using Keras on a dataset of 1191 Pokémon images, obtaining 96.84% accuracy. As Adrian explains, this model is able to identify Pokémon via still image and video. It’s perfect for creating a Pokédex – an interactive Pokémon catalogue that should, according to the franchise, be able to identify and read out information on any known Pokémon when captured by camera. More information on model training can be found on Adrian’s blog.
For the physical build, a Raspberry Pi 3 with camera module is paired with the Raspberry Pi 7″ touch display to create a portable Pokédex. And while Adrian comments that the same result can be achieved using your home computer and a webcam, that’s not how Adrian rolls as a Raspberry Pi fan.
Plus, the smaller size of the Pi is perfect for one of you to incorporate this deep learning model into a 3D-printed Pokédex for ultimate Pokémon glory, pretty please, thank you.
Adrian has gone into impressive detail about how the project works and how you can create your own on his blog, pyimagesearch. So if you’re interested in learning more about deep learning, and making your own Pokédex, be sure to visit.
Last week, we shared the first half of our Q&A with Raspberry Pi Trading CEO and Raspberry Pi creator Eben Upton. Today we follow up with all your other questions, including your expectations for a Raspberry Pi 4, Eben’s dream add-ons, and whether we really could go smaller than the Zero.
Get your questions to us now using #AskRaspberryPi on Twitter
With internet security becoming more necessary, will there be automated versions of VPN on an SD card?
There are already third-party tools which turn your Raspberry Pi into a VPN endpoint. Would we do it ourselves? Like the power button, it’s one of those cases where there are a million things we could do and so it’s more efficient to let the community get on with it.
Just to give a counterexample, while we don’t generally invest in optimising for particular use cases, we did invest a bunch of money into optimising Kodi to run well on Raspberry Pi, because we found that very large numbers of people were using it. So, if we find that we get half a million people a year using a Raspberry Pi as a VPN endpoint, then we’ll probably invest money into optimising it and feature it on the website as we’ve done with Kodi. But I don’t think we’re there today.
Have you ever seen any Pis running and doing important jobs in the wild, and if so, how does it feel?
It’s amazing how often you see them driving displays, for example in radio and TV studios. Of course, it feels great. There’s something wonderful about the geographic spread as well. The Raspberry Pi desktop is quite distinctive, both in its previous incarnation with the grey background and logo, and the current one where we have Greg Annandale’s road picture.
And so it’s funny when you see it in places. Somebody sent me a video of them teaching in a classroom in rural Pakistan and in the background was Greg’s picture.
Raspberry Pi 4!?!
There will be a Raspberry Pi 4, obviously. We get asked about it a lot. I’m sticking to the guidance that I gave people that they shouldn’t expect to see a Raspberry Pi 4 this year. To some extent, the opportunity to do the 3B+ was a surprise: we were surprised that we’ve been able to get 200MHz more clock speed, triple the wireless and wired throughput, and better thermals, and still stick to the $35 price point.
We’re up against the wall from a silicon perspective; we’re at the end of what you can do with the 40nm process. It’s not that you couldn’t clock the processor faster, or put a larger processor which can execute more instructions per clock in there, it’s simply about the energy consumption and the fact that you can’t dissipate the heat. So we’ve got to go to a smaller process node and that’s an order of magnitude more challenging from an engineering perspective. There’s more effort, more risk, more cost, and all of those things are challenging.
With 3B+ out of the way, we’re going to start looking at this now. For the first six months or so we’re going to be figuring out exactly what people want from a Raspberry Pi 4. We’re listening to people’s comments about what they’d like to see in a new Raspberry Pi, and I’m hoping by early autumn we should have an idea of what we want to put in it and a strategy for how we might achieve that.
Could you go smaller than the Zero?
The challenge with Zero as that we’re periphery-limited. If you run your hand around the unit, there is no edge of that board that doesn’t have something there. So the question is: “If you want to go smaller than Zero, what feature are you willing to throw out?”
It’s a single-sided board, so you could certainly halve the PCB area if you fold the circuitry and use both sides, though you’d have to lose something. You could give up some GPIO and go back to 26 pins like the first Raspberry Pi. You could give up the camera connector, you could go to micro HDMI from mini HDMI. You could remove the SD card and just do USB boot. I’m inventing a product live on air! But really, you could get down to two thirds and lose a bunch of GPIO – it’s hard to imagine you could get to half the size.
What’s the one feature that you wish you could outfit on the Raspberry Pi that isn’t cost effective at this time? Your dream feature.
Well, more memory. There are obviously technical reasons why we don’t have more memory on there, but there are also market reasons. People ask “why doesn’t the Raspberry Pi have more memory?”, and my response is typically “go and Google ‘DRAM price’”. We’re used to the price of memory going down. And currently, we’re going through a phase where this has turned around and memory is getting more expensive again.
Machine learning would be interesting. There are machine learning accelerators which would be interesting to put on a piece of hardware. But again, they are not going to be used by everyone, so according to our method of pricing what we might add to a board, machine learning gets treated like a $50 chip. But that would be lovely to do.
Which citizen science projects using the Pi have most caught your attention?
I like the wildlife camera projects. We live out in the countryside in a little village, and we’re conscious of being surrounded by nature but we don’t see a lot of it on a day-to-day basis. So I like the nature cam projects, though, to my everlasting shame, I haven’t set one up yet. There’s a range of them, from very professional products to people taking a Raspberry Pi and a camera and putting them in a plastic box. So those are good fun.
How does it feel to go to bed every day knowing you’ve changed the world for the better in such a massive way?
What feels really good is that when we started this in 2006 nobody else was talking about it, but now we’re part of a very broad movement.
We were in a really bad way: we’d seen a collapse in the number of applicants applying to study Computer Science at Cambridge and elsewhere. In our view, this reflected a move away from seeing technology as ‘a thing you do’ to seeing it as a ‘thing that you have done to you’. It is problematic from the point of view of the economy, industry, and academia, but most importantly it damages the life prospects of individual children, particularly those from disadvantaged backgrounds. The great thing about STEM subjects is that you can’t fake being good at them. There are a lot of industries where your Dad can get you a job based on who he knows and then you can kind of muddle along. But if your dad gets you a job building bridges and you suck at it, after the first or second bridge falls down, then you probably aren’t going to be building bridges anymore. So access to STEM education can be a great driver of social mobility.
By the time we were launching the Raspberry Pi in 2012, there was this wonderful movement going on. Code Club, for example, and CoderDojo came along. Lots of different ways of trying to solve the same problem. What feels really, really good is that we’ve been able to do this as part of an enormous community. And some parts of that community became part of the Raspberry Pi Foundation – we merged with Code Club, we merged with CoderDojo, and we continue to work alongside a lot of these other organisations. So in the two seconds it takes me to fall asleep after my face hits the pillow, that’s what I think about.
We’re currently advertising a Programme Manager role in New Delhi, India. Did you ever think that Raspberry Pi would be advertising a role like this when you were bringing together the Foundation?
No, I didn’t.
But if you told me we were going to be hiring somewhere, India probably would have been top of my list because there’s a massive IT industry in India. When we think about our interaction with emerging markets, India, in a lot of ways, is the poster child for how we would like it to work. There have already been some wonderful deployments of Raspberry Pi, for example in Kerala, without our direct involvement. And we think we’ve got something that’s useful for the Indian market. We have a product, we have clubs, we have teacher training. And we have a body of experience in how to teach people, so we have a physical commercial product as well as a charitable offering that we think are a good fit.
It’s going to be massive.
What is your favourite BBC type-in listing?
There was a game called Codename: Druid. There is a famous game called Codename: Droid which was the sequel to Stryker’s Run, which was an awesome, awesome game. And there was a type-in game called Codename: Druid, which was at the bottom end of what you would consider a commercial game.
And I remember typing that in. And what was really cool about it was that the next month, the guy who wrote it did another article that talks about the memory map and which operating system functions used which bits of memory. So if you weren’t going to do disc access, which bits of memory could you trample on and know the operating system would survive.
I still like type-in listings. The Raspberry Pi 2018 Annual has a type-in listing that I wrote for a Babbage versus Bugs game. I will say that’s not the last type-in listing you will see from me in the next twelve months. And if you download the PDF, you could probably copy and paste it into your favourite text editor to save yourself some time.
HackSpace magazine is back with our brand-new issue 6, available for you on shop shelves, in your inbox, and on our website right now.
Inside Hackspace magazine 6
Paper is probably the first thing you ever used for making, and for good reason: in no other medium can you iterate through 20 designs at the cost of only a few pennies. We’ve roped in Rob Ives to show us how to make a barking paper dog with moveable parts and a cam mechanism. Even better, the magazine includes this free paper automaton for you to make yourself. That’s right: free!
At the other end of the scale, there’s the forge, where heat, light, and noise combine to create immutable steel. We speak to Alec Steele, YouTuber, blacksmith, and philosopher, about his amazingly beautiful Damascus steel creations, and about why there’s no difference between grinding a knife and blowing holes in a mountain to build a road through it.
Do it yourself
You’ve heard of reading glasses — how about glasses that read for you? Using a camera, optical character recognition software, and a text-to-speech engine (and of course a Raspberry Pi to hold it all together), reader Andrew Lewis has hacked together his own system to help deal with age-related macular degeneration.
It’s the definition of hacking: here’s a problem, there’s no solution in the shops, so you go and build it yourself!
60 years ago, the cutting edge of home hacking was the transistor radio. Before the internet was dreamt of, the transistor radio made the world smaller and brought people together. Nowadays, the components you need to build a radio are cheap and easily available, so if you’re in any way electronically inclined, building a radio is an ideal excuse to dust off your soldering iron.
If you’re a 12-month subscriber (if you’re not, you really should be), you’ve no doubt been thinking of all sorts of things to do with the Adafruit Circuit Playground Express we gave you for free. How about a sewable circuit for a canvas bag? Use the accelerometer to detect patterns of movement — walking, for example — and flash a series of lights in response. It’s clever, fun, and an easy way to add some programmable fun to your shopping trips.
We’re also making gin, hacking a children’s toy car to unlock more features, and getting started with robot sumo to fill the void left by the cancellation of Robot Wars.
All this, plus an 11-metre tall mechanical miner, in HackSpace magazine issue 6 — subscribe here from just £4 an issue or get the PDF version for free. You can also find HackSpace magazine in WHSmith, Tesco, Sainsbury’s, and independent newsagents in the UK. If you live in the US, check out your local Barnes & Noble, Fry’s, or Micro Center next week. We’re also shipping to stores in Australia, Hong Kong, Canada, Singapore, Belgium, and Brazil, so be sure to ask your local newsagent whether they’ll be getting HackSpace magazine.
Abstract: We present a scalable dynamic analysis framework that allows for the automatic evaluation of the privacy behaviors of Android apps. We use our system to analyze mobile apps’ compliance with the Children’s Online Privacy Protection Act (COPPA), one of the few stringent privacy laws in the U.S. Based on our automated analysis of 5,855 of the most popular free children’s apps, we found that a majority are potentially in violation of COPPA, mainly due to their use of third-party SDKs. While many of these SDKs offer configuration options to respect COPPA by disabling tracking and behavioral advertising, our data suggest that a majority of apps either do not make use of these options or incorrectly propagate them across mediation SDKs. Worse, we observed that 19% of children’s apps collect identifiers or other personally identifiable information (PII) via SDKs whose terms of service outright prohibit their use in child-directed apps. Finally, we show that efforts by Google to limit tracking through the use of a resettable advertising ID have had little success: of the 3,454 apps that share the resettable ID with advertisers, 66% transmit other, non-resettable, persistent identifiers as well, negating any intended privacy-preserving properties of the advertising ID.
Learn more: http://rpf.io/ Subscribe to our YouTube channel: http://rpf.io/ytsub Help us reach a wider audience by translating our video content: http://rpf.io/yttranslate Buy a Raspberry Pi from one of our Approved Resellers: http://rpf.io/ytproducts Find out more about the Raspberry Pi Foundation: Raspberry Pi http://rpf.io/ytrpi Code Club UK http://rpf.io/ytccuk Code Club International http://rpf.io/ytcci CoderDojo http://rpf.io/ytcd Check out our free online training courses: http://rpf.io/ytfl Find your local Raspberry Jam event: http://rpf.io/ytjam Work through our free online projects: http://rpf.io/ytprojects Do you have a question about your Raspberry Pi?
Fantastic collections and where to find them
Large, impressive statues are truly a sight to be seen. Take for example the 2.4m Hoa Hakananai’a at the British Museum. Its tall stature looms over you as you read its plaque to learn of the statue’s journey from Easter Island to the UK under the care of Captain Cook in 1774, and you can’t help but wonder at how it made it here in one piece.
But unless you live near a big city where museums are plentiful, you’re unlikely to see the likes of Hoa Hakananai’a in person. Instead, you have to content yourself with online photos or videos of world-famous artefacts.
And that only accounts for the objects that are on display: conservators estimate that only approximately 5 to 10% of museums’ overall collections are actually on show across the globe. The rest is boxed up in storage, inaccessible to the public due to risk of damage, or simply due to lack of space.
Museum in a Box
Museum in a Box aims to “put museum collections and expert knowledge into your hand, wherever you are in the world,” through modern maker practices such as 3D printing and digital making. With the help of the ‘Scan the World’ movement, an “ambitious initiative whose mission is to archive objects of cultural significance using 3D scanning technologies”, the Museum in a Box team has been able to print small, handheld replicas of some of the world’s most recognisable statues and sculptures.
Each 3D print gets NFC tags so it can initiate audio playback from a Raspberry Pi that sits snugly within the laser-cut housing of a ‘brain box’. Thus the print can talk directly to us through the magic of wireless technology, replacing the dense, dry text of a museum plaque with engaging speech.
The Museum in a Box team headed by CEO George Oates (featured in the video above) makes use of these 3D-printed figures alongside original artefacts, postcards, and more to bridge the gap between large, crowded, distant museums and local schools. Modeled after the museum handling collections that used to be sent to schools, Museum in a Box is a cheaper, more accessible alternative. Moreover, it not only allows for hands-on learning, but also encourages children to get directly involved by hacking its technology! With NFC technology readily available to the public, students can curate their own collections about their local area, record their own messages, and send their own box-sized museums on to schools in other towns or countries. In this way, Museum in a Box enables students to explore, and expand the reach of, their own histories.
With the technology perfected and interest in the project ever-growing, Museum in a Box has a busy year ahead. Supporting the new ‘Unstacked’ learning initiative, the team will soon be delivering ten boxes to the Smithsonian Libraries. The team has curated two collections specifically for this: an exploration into Asia-Pacific America experiences of migration to the USA throughout the 20th century, and a look into the history of science.
The team will also be making a box for the British Museum to support their Iraq Scheme initiative, and another box will be heading to the V&A to support their See Red programme. While primarily installed in the Lansbury Micro Museum, the box will also take to the road to visit the local Spotlight high school.
Museum in a Box at Raspberry Fields
Lastly, by far the most exciting thing the Museum in a Box team will be doing this year — in our opinion at least — is showcasing at Raspberry Fields! This is our brand-new festival of digital making that’s taking place on 30 June and 1 July 2018 here in Cambridge, UK. Find more information about it and get your ticket here.
This column is from The MagPi issue 61. You can download a PDF of the full issue for free, or subscribe to receive the print edition through your letterbox or the digital edition on your tablet. All proceeds from the print and digital editions help the Raspberry Pi Foundation achieve our charitable goals.
The pinned tweet on Dave Akerman’s Twitter account shows a table displaying the various components needed for a high-altitude balloon (HAB) flight. Batteries, leads, a camera and Raspberry Pi, plus an unusually themed payload. The caption reads ‘The Queen, The Duke of York, and my TARDIS”, and sums up Dave’s maker career in a heartbeat.
The Queen, The Duke of York, and my TARDIS 🙂 #UKHAS #RaspberryPi
Though writing software for industrial automation pays the bills, the majority of Dave’s time is spent in the world of high-altitude ballooning and the ever-growing community that encompasses it. And, while he makes some money sending business-themed balloons to near space for the likes of Aardman Animations, Confused.com, and the BBC, Dave is best known in the Raspberry Pi community for his use of the small computer in every payload, and his work as a tutor alongside the Foundation’s staff at Skycademy events.
Dave continues to help others while breaking records and having a good time exploring the atmosphere.
Dave has dedicated many hours and many, many more miles to assist with the Foundation’s Skycademy programme, helping to explore high-altitude ballooning with educators from across the UK. Using a Raspberry Pi and various other pieces of lightweight tech, Dave and Foundation staff member James Robinson explored the incorporation of high-altitude ballooning into education. Through Skycademy, educators were able to learn new skills and take them to the classroom, setting off their own balloons with their students, and recording the results on Raspberry Pis.
Dave’s most recent flight broke a new record. On 13 August 2017, his HAB payload was able to send back the highest images taken by any amateur flight.
But education isn’t the only reason for Dave’s involvement in the HAB community. As with anyone passionate about a specific hobby, Dave strives to break records. The most recent record-breaking flight took place on 13 August 2017, when Dave’s Raspberry Pi Zero HAB sent home the highest images taken by any amateur high-altitude balloon launch: at 43014 metres. No other HAB balloon has provided images from such an altitude, and the lightweight nature of the Pi Zero definitely helped, as Dave went on to mention on Twitter a few days later.
Dave is recognised as being the first person to incorporate a Raspberry Pi into a HAB payload, and continues to break records with the help of the little green board. More recently, he’s been able to lighten the load by using the Raspberry Pi Zero.
When the first Pi made its way to near space, Dave tore the computer apart in order to meet the weight restriction. The Pi in the Sky board was created to add the extra features needed for the flight. Since then, the HAT has experienced a few changes.
The Pi in the Sky board, created specifically for HAB flights.
Dave first fell in love with high-altitude ballooning after coming across the hobby in a video shared on a photographic forum. With a lifelong interest in space thanks to watching the Moon landings as a boy, plus a talent for electronics and photography, it seems a natural progression for him. Throw in his coding skills from learning to program on a Teletype and it’s no wonder he was ready and eager to take to the skies, so to speak, and capture the curvature of the Earth. What was so great about using the Raspberry Pi was the instant gratification he got from receiving images in real time as they were taken during the flight. While other devices could control a camera and store captured images for later retrieval, thanks to the Pi Dave was able to transmit the files back down to Earth and check the progress of his balloon while attempting to break records with a flight.
One of the many commercial flights Dave has organised featured the classic children’s TV character Morph, a creation of the Aardman Animations studio known for Wallace and Gromit. Morph took to the sky twice in his mission to reach near space, and finally succeeded in 2016.
High-altitude ballooning isn’t the only part of Dave’s life that incorporates a Raspberry Pi. Having “lost count” of how many Pis he has running tasks, Dave has also created radio receivers for APRS (ham radio data), ADS-B (aircraft tracking), and OGN (gliders), along with a time-lapse camera in his garden, and he has a few more Pi for tinkering purposes.
With AWS Organizations, you can centrally manage policies across multiple AWS accounts without having to use custom scripts and manual processes. For example, you can apply service control policies (SCPs) across multiple AWS accounts that are members of an organization. SCPs allow you to define which AWS service APIs can and cannot be executed by AWS Identity and Access Management (IAM) entities (such as IAM users and roles) in your organization’s member AWS accounts. SCPs are created and applied from the master account, which is the AWS account that you used when you created your organization.
OUs give you a way to logically group and structure member AWS accounts in your organization. The screenshot shows the tree view of an example organizational structure in my organization with several OUs. Currently, I have selected OrgUnit01, and this is the current view I see in my main window. You can see here that within the OrgUnit01 OU, I have nested two additional OUs (OrgUnit01ChildA and OrgUnit01ChildB) and an AWS account is also contained within OrgUnit01, named “Developer Sandbox Account”.
The parts of the example organizational structure in the screenshot are:
Tree view — The hierarchy of your organization’s root and any OUs you have created
Tree view toggle — Enable and disable tree view
Organizational Units — Any child OUs of the selected root or OU in tree view
Accounts — Any AWS accounts (members or master) in the current OU
In the next section, I explain why at least one SCP must be attached to your root and OUs and introduce SCP evaluation.
How Service Control Policy evaluation logic works
To allow an AWS service API at the member account level, you must allow the API at every level between the member account and the root of your organization. This means you must attach an SCP at every level between your organization’s root and the member account that allows the given AWS service API (such as ec2:RunInstances). For more information, see About Service Control Policies.
Let’s say you want to allow the ec2:RunInstances API in the Developer Sandbox Account in the example structure in the preceding screenshot. To allow this AWS service API, you must allow the API in at least one SCP attached at each of these levels:
The organization’s root
The OU named OrgUnit01
If you don’t allow the AWS service in an SCP attached at each of these two levels, neither IAM entities nor the root user in the Developer Sandbox Account will be able to call ec2:RunInstances, even if an administrator has given them permission to do so (for IAM entities). In terms of policy evaluation, SCPs follow exactly the same policy evaluation logic as IAM does: by default, all requests are denied, an explicit allow overrides this default, and an explicit deny overrides any explicit allows.
What does this look like in practice? In the next section, I share a practical example to demonstrate how this works in Organizations.
An example structure with nested OUs and SCPs
In the previous section, I introduced design aspects of AWS Organizations that help prevent administrators from breaking structures in their Organizations. But because AWS Organizations is flexible enough to address multiple use cases, administrators can make changes that have unintended consequences, such as breaking organizational structures when moving an AWS account from one OU to another. In this section, I show an example with broken OU and SCP structures and explain how you can fix them.
I’ll take a blacklisting approach. That is, I’ll use the FullAWSAccess SCP, which doesn’t filter out any AWS service APIs. Then, I will filter out specific APIs by blacklisting them in subsequent SCPs attached to OUs at various points in my organization’s structure. For further reading on blacklisting and whitelisting with AWS Organizations, review AWS Organizations Terminology and Concepts.
Let’s say I have developed the OU and SCP structure shown in the diagram below. Before taking a close look at that diagram, I’ll briefly outline the goals I’m trying to achieve. Broadly speaking, there’s a small subset of APIs that I want to filter out using SCPs. This means that IAM entities in some AWS accounts in my organization will not have access to particular AWS service APIs, such as those related to Amazon EC2, while other accounts will not have access to APIs associated with Amazon CloudWatch, Amazon S3, and so on. Apart from these special cases, I do want the accounts in my organization to have access to all other APIs. More specifically, my goals are as follows:
Any AWS accounts in the Root should not have any API filtered out.
Any AWS accounts in OU 001 should have APIs for CloudWatch filtered out, but all other APIs will be accessible.
Any AWS accounts in OU 002 should have APIs for both CloudWatch and EC2 filtered out, but all other APIs will be accessible.
Any AWS accounts in OU 003 should have APIs for S3 filtered out, but all other APIs will be accessible.
To that end, let’s now look at my initial SCP and OU configuration in the image below that shows the example OU and SCP structure. The arrow shows the direction of inheritance: the root and the OUs below it (children) inherit SCPs from the OUs above them (parents). This example structure contains the following SCPs:
FullAWSAccess — Allows all AWS service APIs
Deny_CW — Denies all CloudWatch APIs
Deny_EC2 — Denies all Amazon EC2 APIs
Deny_S3 — Denies all Amazon S3 APIs
Now that I’ve outlined my intent, and shown you the OU / SCP structure that I’ve created to meet that set of goals, you can probably already see that the structure provided in the image above will not work correctly for my stated goals. In fact, AWS accounts in the Root container and OU 001 will have the intended access, as per my goals (1) and (2). I will not, however, meet my goals (3) and (4) with the above structure: entities in member accounts directly under OU 002 cannot perform any actions, even if they’re granted permissions by IAM access policies. This is because the FullAWSAccess SCP isn’t attached directly to this OU (it’s only inherited).
Why is this important? For an AWS service API to be available to IAM entities in a member account, the API must be specified in an SCP attached at every level all the way down the hierarchy to the relevant member account. Similarly, even though OU 003 does have the FullAWSAccess SCP attached directly to it, the fact that it’s not attached to the parent OU (OU 002) means that IAM entities in member accounts under OU 003 also aren’t able to access any service APIs. This doesn’t happen by default—I have deliberately taken this action to organize my structure in this way, to show both the flexibility and the kind of problems you can encounter when working with OUs and SCPs.
So I now need to fix the problems that I’ve inadvertently created. To start with, I’m going to make one change to OU 002 by attaching the FullAWSAccess SCP directly to that OU. After I do that, OU 002 has the attached and inherited policies that are shown in the following image.
With the FullAWSAccess policy attached to OU 002, member accounts in both OU 002 and OU 003 can access the other non-restricted AWS service APIs (keeping in mind that the FullAWSAccess policy was already applied to OU 003).
I have one final issue to address in this example: OU 003 has an SCP attached that blocks access to the Amazon S3 APIs. However, in this OU, the intent is to allow IAM entities in member accounts to access the EC2 APIs. EC2 API access is blocked because in the parent OU (OU 002), an SCP is attached that denies access to that API (the Deny_EC2 SCP), which means that any actions listed in Deny_EC2 have already been filtered out. An explicit deny always trumps an allow, so to meet goal (4) and have an OU in which EC2 APIs are allowed but access to CloudWatch APIs and S3 APIs is filtered out, I will move OU 003 up one level, placing it directly under OU 001. This change gives me a working OU and policy structure, as shown in the following image.
I recommend that at each level of your organization’s hierarchy, you directly apply the relevant SCPs. By doing this, you’re less likely to forget to apply an SCP to a particular OU, which can break your permission structure. By directly applying SCPs, you also make your policy structure easier to read.
If you have a group of accounts in your organization that are for testing purposes, I recommend that you experiment with OUs and SCPs. Applying SCPs to OUs and then moving an AWS account around within that structure can show you how SCPs affect IAM entities. For example, if you have an IAM user with the AdministratorAccess policy attached, you should see how SCPs can filter out certain AWS service APIs from specified member accounts.
I showed you how you can effectively apply SCPs to OUs in your organization and avoid some of the common issues that you might experience. I demonstrated an approach to designing a working organizational structure that I hope will help smooth your deployment of your organization and enables you to better centrally secure and manage your AWS accounts.
If you have comments about this post, submit them in the Comments section below. If you have questions about anything in this post, start a new thread on the Organizations forum.
Applying technology to healthcare data has the potential to produce many exciting and important outcomes. The analysis produced from healthcare data can empower clinicians to improve the health of individuals and populations by enabling them to make better decisions that enhance the care they provide.
The Observational Health Data Sciences and Informatics (OHDSI, pronounced “Odyssey”) program and community is working toward this goal by producing data standards and open-source solutions to store and analyze observational health data. Using the OHDSI tools, you can visualize the health of your entire population. You can build cohorts of patients, analyze incidence rates for various conditions, and estimate the effect of treatments on patients with certain conditions. You can also model health outcome predictions using machine learning algorithms.
One of the challenges often faced when working with big data tools is the expense of the infrastructure required to run them. Another challenge is the learning curve to implement and begin using these tools. Amazon Web Services has enabled us to address many of the classic IT challenges by making enterprise class infrastructure and technology available in an affordable, elastic, and automated way. This blog post demonstrates how to combine some of the OHDSI projects (Atlas, Achilles, WebAPI, and the OMOP Common Data Model) with AWS technologies. By doing so, you can quickly and inexpensively implement a health data science and informatics environment.
Shown following is just one example of the population health analysis that is possible with the OHDSI tools. This visualization shows the prevalence of various drugs within the given population of people. This information helps researchers and clinicians discover trends and make better informed decisions about patient health.
OHDSI application architecture on AWS
Before deploying an application on AWS that transmits, processes, or stores protected health information (PHI) or personally identifiable information (PII), address your organization’s compliance concerns. Make sure that you have worked with your internal compliance and legal team to ensure compliance with the laws and regulations that govern your organization. To understand how you can use AWS services as a part of your overall compliance program, see the AWS HIPAA Compliance whitepaper. With that said, we paid careful attention to the HIPAA control set during the design of this solution.
This blog post presents a complete OHDSI application environment, including a data warehouse with sample data. It has the following features:
Following, you can see a block diagram of how the OHDSI tools map to the services provided by AWS.
Atlas is the web application that researchers interact with to perform analysis. Atlas interacts with the underlying databases through a web services application named WebAPI. In this example, both Atlas and WebAPI are deployed and managed by AWS Elastic Beanstalk. Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications. Simply upload the Atlas and WebAPI code and Elastic Beanstalk automatically handles the deployment. It covers everything from capacity provisioning, load balancing, autoscaling, and high availability, to application health monitoring. Using a feature of Elastic Beanstalk called ebextensions, the Atlas and WebAPI servers are customized to use an encrypted storage volume for the middleware application logs.
Atlas stores the state of the various patient cohorts that are analyzed in a dedicated database separate from your observational health data. This database is provided by Amazon Aurora with PostgreSQL compatibility.
Amazon Aurora is a relational database built for the cloud that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching, and backups. It is configured for high availability and uses encryption at rest for the database and backups, and encryption in flight for the JDBC connections.
All of your observational health data is stored inside the OHDSI Observational Medical Outcomes Partnership Common Data Model (OMOP CDM). This model also stores useful vocabulary tables that help to translate values from various data sources (like EHR systems and claims data).
The OMOP CDM schema is deployed onto Amazon Redshift. Amazon Redshift is a fast, fully managed data warehouse that allows you to run complex analytic queries against petabytes of structured data. It uses using sophisticated query optimization, columnar storage on high-performance local disks, and massively parallel query execution. You can also resize an Amazon Redshift cluster as your requirements for it change.
The solution in this blog post automatically loads de-identified sample data of 1,000 people from the CMS 2008–2010 Data Entrepreneurs’ Synthetic Public Use File (DE-SynPUF). The data has helpful formatting from LTS Computing LLC. Vocabulary data from the OHDSI Athena project is also loaded into the OMOP CDM, and a results set is computed by OHDSI Achilles.
Following is a detailed technical diagram showing the configuration of the architecture to be deployed.
Deploying OHDSI on AWS
Everything just described is automatically deployed by using an AWS CloudFormation template. Using this template, you can quickly get started with the OHDSI project. The CloudFormation templates for this deployment as well as all of the supporting scripts and source code can be found in the AWS Labs GitHub repo.
From your AWS account, open the CloudFormation Management Console and choose Create Stack. From there, copy and paste the following URL in the Specify an Amazon S3 template URL box, and choose Next.
On the next screen, you provide a Stack Name (this can be anything you like) and a few other parameters for your OHDSI environment.
You use the DatabasePassword parameter to set the password for the master user account of the Amazon Redshift and Aurora databases.
You use the EBEndpoint name to generate a unique URL for Atlas to access the OHDSI environment. It is http://EBEndpoint.AWS-Region.elasticbeanstalk.com, where EBEndpoint.AWS-Region indicates the Elastic Beanstalk endpoint and AWS Region. You can configure this URL through Elastic Beanstalk if you want to change it in the future.
You use the KPair option to choose one of your existing Amazon EC2 key pairs to use with the instances that Elastic Beanstalk deploys. By doing this, you can gain administrative access to these instances in the future if you need to. If you don’t already have an Amazon EC2 key pair, you can generate one for free. You do this by going to the Key Pairs section of the EC2 console and choosing Generate Key Pair.
Finally, you use the UserIPRange parameter to specify a CIDR IP address range from which to access your OHDSI environment. By default, your OHDSI environment is accessible over the public internet. Use UserIPRange to limit access over the Internet to a single IP address or a range of IP addresses that represent users you want to have access. Through additional configuration, you can also make your OHDSI environment completely private and accessible only through a VPN or AWS Direct Connect private circuit.
When you’ve provided all Parameters, choose Next.
On the next screen, you can provide some other optional information like tags at your discretion, or just choose Next.
On the next screen, you can review what will be deployed. At the bottom of the screen, there is a check box for you to acknowledge that AWS CloudFormation might create IAM resources with custom names. This is correct; the template being deployed creates four custom roles that give permission for the AWS services involved to communicate with each other. Details of these permissions are inside the CloudFormation template referenced in the URL given in the first step. Check the box acknowledging this and choose Next.
You can watch as CloudFormation builds out your OHDSI architecture. A CloudFormation deployment is called a stack. The parent stack creates two child stacks, one containing the VPC and IAM roles and another created by Elastic Beanstalk with the Atlas and WebAPI servers. When all three stacks have reached the green CREATE_COMPLETE status, as shown in the screenshot following, then the OHDSI architecture has been deployed.
There is still some work going on behind the scenes, though. To watch the progress, browse to the Amazon Redshift section of your AWS Management Console and choose the Amazon Redshift cluster that was created for your OHDSI architecture. After you do so, you can observe the Loads and Queries tabs.
First, on the Loads tab, you can see the CMS De-SynPUF sample data and Athena vocabulary data being loaded into the OMOP Common Data Model. After you see the VOCABULARY table reach the COMPLETED status (as shown following), all of the sample and vocabulary data has been loaded.
After the data loads, the Achilles computation starts. On the Queries tab, you can watch Achilles running queries against your database to build out the Results schema. Achilles runs a large number of queries, and the entire process can take quite some time (about 20 minutes for the sample data we’ve loaded). Eventually, no new queries show up in the Queries tab, which shows that the Achilles computation is completed. The entire process from the time you executed the CloudFormation template until the Achilles computation is completed usually takes about an hour and 15 minutes.
At this point, you can browse to the Elastic Beanstalk section of the AWS Management Console. There, you can choose the OHDSI Application and Environment (green box) that was deployed by the CloudFormation template. At the top of the dashboard, as shown following, you see a link to a URL. This URL matches the name you provided in the EBEndpoint parameter of the CloudFormation template. Choose this URL, and you can start using Atlas to explore the CMS DE-SynPUF sample data!
Cost of deploying this environment
It used to be common to see healthcare data analytics environments deployed in an on-premises data center with expensive data warehouse appliances and virtualized environments. The cloud era has democratized the availability of the infrastructure required to do this type of data analysis, so that now it is within reach of even small organizations. This environment can expand to analyze petabyte-scale health data, and you only pay for what you need. See an estimated breakdown of the monthly cost components for this environment as deployed on the AWS Solution Calculator.
It’s also worth noting that this environment does not have to be run all of the time. If you are only performing analyses periodically, you can terminate the environment when you are finished and restore it from the database backups when you want to continue working. This would reduce the cost of operation even further.
Now that you have a fully functional OHDSI environment with sample data, you can use this to explore and learn the toolset and its capabilities. After learning with the sample data, you can begin gaining insights by analyzing your own organization’s health data. You can do this using an extract, transform, load (ETL) process from one or more of your health data sources.
James Wiggins is a senior healthcare solutions architect at AWS. He is passionate about using technology to help organizations positively impact world health. He also loves spending time with his wife and three children.
There’s a new issue of HackSpace magazine on the shelves today, and as usual it’s full of things to make and do!
We love making hardware, and we’d also love to turn this hobby into a way to make a living. So in the hope of picking up a few tips, we spoke to the woman behind Adafruit: Limor Fried, aka Ladyada.
Adafruit has played a massive part in bringing the maker movement into homes and schools, so we’re chuffed to have Limor’s words of wisdom in the magazine.
Raspberry Pi 3B+
As you may have heard, there’s a new Pi in town, and that can only mean one thing for HackSpace magazine: let’s test it to its limits!
The Raspberry Pi 3 Model B+ is faster, better, and stronger, but what does that mean in practical terms for your projects?
Kids are amazing! Their curious minds, untouched by mundane adulthood, come up with crazy stuff that no sensible grown-up would think to build. No sensible grown-up, that is, apart from the engineers behind Kids Invent Stuff, the brilliant YouTube channel that takes children’s inventions and makes them real.
Kids Invent Stuff is the YouTube channel where kids’ invention ideas get made into real working inventions. Learn more about Kids Invent Stuff at www.kidsinventstuff.com Have you seen Connor’s Crazy Car invention? https://youtu.be/4_sF6ZFNzrg Have you seen our Flamethrowing piano?
We spoke to Ruth Amos, entrepreneur, engineer, and one half of the Kids Invent Stuff team.
It shouldn’t just be kids who get to play with fun stuff! This month, in the name of research, we’ve brought a Stirling engine–powered buggy from Shenzhen.
This ingenious mechanical engine is the closest you’ll get to owning a home-brew steam engine without running the risk of having a boiler explode in your face.
In this issue, turn a Dremel multitool into a workbench saw with some wood, perspex, and a bit of laser cutting; make a Starfleet com-badge and pretend you’re Captain Jean-Luc Picard (shaving your hair off not compulsory); add intelligence to builds the easy way with Node-RED; and get stuck into Cheerlights, one of the world’s biggest IoT project.
All this, plus your ultimate guide to blinkenlights, and the only knot you’ll ever need, in HackSpace magazine issue 5.
Individual copies of HackSpace magazine are available in selected stockists across the UK, including Tesco, WHSmith, and Sainsbury’s. They’ll also be making their way across the globe to USA, Canada, Australia, Brazil, Hong Kong, Singapore, and Belgium in the coming weeks, so ask your local retailer whether they’re getting a delivery.
You can also purchase your copy on the Raspberry Pi Press website, and browse our complete collection of other Raspberry Pi publications, such as The MagPi, Hello World, and Raspberry Pi Projects Books.
This summer, the Raspberry Pi Foundation is bringing you an all-new community event taking place in Cambridge, UK!
On the weekend of Saturday 30 June and Sunday 1 July 2018, the Pi Towers team, with lots of help from our community of young people, educators, hobbyists, and tech enthusiasts, will be running Raspberry Fields, our brand-new annual festival of digital making!
It will be a chance for people of all ages and skill levels to have a go at getting creative with tech, and it will be a celebration of all that our digital makers have already learnt and achieved, whether through taking part in Code Clubs, CoderDojos, or Raspberry Jams, or through trying our resources at home.
Dive into digital making
At Raspberry Fields, you will have the chance to inspire your inner inventor! Learn about amazing projects others in the community are working on, such as cool robots and wearable technology; have a go at a variety of hands-on activities, from home automation projects to remote-controlled vehicles and more; see fascinating science- and technology-related talks and musical performances. After your visit, you’ll be excited to go home and get making!
If you’re wondering about bringing along young children or less technologically minded family members or friends, there’ll be plenty for them to enjoy — with lots of festival-themed activities such as face painting, fun performances, free giveaways, and delicious food, Raspberry Fields will have something for everyone!
Get your tickets
This two-day ticketed event will be taking place at Cambridge Junction, the city’s leading arts centre. Tickets are £5 if you are aged 16 or older, and free for everyone under 16. Get your tickets by clicking the button on the Raspberry Fields web page!
Where: Cambridge Junction, Clifton Way, Cambridge, CB1 7GX, UK When: Saturday 30 June 2018, 10:30 – 18:00 and Sunday 1 July 2018, 10:00 – 17:30
We are currently looking for people who’d like to contribute activities, talks, or performances with digital themes to the festival. This could be something like live music, dance, or other show acts; talks; or drop-in making activities. In addition, we’re looking for artists who’d like to showcase interactive digital installations, for proud makers who are keen to exhibit their projects, and for vendors who’d like to join in. We particularly encourage young people to showcase projects they’ve created or deliver talks on their digital making journey!
Your contribution to Raspberry Fields should focus on digital making and be fun and engaging for an audience of various ages. However, it doesn’t need to be specific to Raspberry Pi. You might be keen to demonstrate a project you’ve built, do a short Q&A session on what you’ve learnt, or present something more in-depth in the auditorium; maybe you’re one of our approved resellers wanting to showcase in our market area. We’re also looking for digital makers to run drop-in activity sessions, as well as for people who’d like to be marshals with smiling faces who will ensure that everyone has a wonderful time!
If you’d like to take part in Raspberry Fields, let us know via this form, and we’ll be in touch with you soon.
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