:00:00. > :00:00.He also convinced his daughter that she'd explode if she left the house.
:00:00. > :00:24.This week, big data in the sky, on the walls, even on your butt. Hey,
:00:25. > :00:48.Lewington, get off your butt! There are a few things I love more
:00:49. > :00:55.than Computex eight made beautiful. -- macro -- compter data. It is even
:00:56. > :01:04.better when he can throw it up onto a circular walk and then access it
:01:05. > :01:11.all from your evil genius' chair. First I will destroy the earth! Then
:01:12. > :01:29.the solar system! And, finally, the entire galaxy! Apart from Elvis.
:01:30. > :01:32.This is the data observatory, at London's imperial college, from
:01:33. > :01:40.where you can observe any data you want. That's where we are right now.
:01:41. > :01:44.Today, this professor is using it to show me financial transactions,
:01:45. > :01:51.specifically all of those being made right now using the digital currency
:01:52. > :01:54.bitcoin. These are where the bitcoin transactions are happening around
:01:55. > :02:00.the world right now and here we can see the individual transactions as
:02:01. > :02:05.they happen. What's going on? This is somebody who is hoovering up lots
:02:06. > :02:10.of little amount of bitcoin from their wallet and using it to make
:02:11. > :02:16.payments. So they are just going down the back of the sofa? That's
:02:17. > :02:21.right. Maximum vacuuming happening here. A lot of change down the back
:02:22. > :02:25.of the sofa. And a lot of activity is happening in China, but we can't
:02:26. > :02:30.see it because it is behind the great firewall of China. Unusual
:02:31. > :02:35.transactions look even more lovely. In fact, this malicious activity
:02:36. > :02:40.looks a bit like a parasitic worm, which I guess is what it is. There's
:02:41. > :02:44.also beauty in how the bitcoin currency works and how transactions
:02:45. > :02:49.are recorded. Just like a bank will keep a record of the movement of
:02:50. > :02:53.money, something called a ledger, there is a record of all the bitcoin
:02:54. > :03:00.transactions that have been made. It's a massive file called the block
:03:01. > :03:04.chain. And the brilliant thing about it is it can't be tampered with. You
:03:05. > :03:10.can't fake an entry, delete a payment or create new fake coins.
:03:11. > :03:14.That's because copies of it are stored on thousands of computers
:03:15. > :03:19.across the globe. You can't alter the record of events unless you can
:03:20. > :03:22.somehow tamper with each copy of the file on the majority of these
:03:23. > :03:29.machines. Let's face it, realistically you can't. I about to
:03:30. > :03:33.make a bitcoin payment on this phone and you will see that transaction
:03:34. > :03:39.entered the bitcoin network. Here we go. Sending payment. There it is!
:03:40. > :03:43.There's my payment. It is now in the network waiting to be verified.
:03:44. > :03:46.Already, all of these computers around the world know about that
:03:47. > :03:53.transaction entered a few minutes' time one of their will verify it. --
:03:54. > :03:56.and in a few minutes'. And there will be a permanent record of my
:03:57. > :04:02.transaction that in theory cannot ever be tampered with or undone. But
:04:03. > :04:07.the block chain method is more than just a way of keeping big queen
:04:08. > :04:11.records. The idea of a tamper-proof ledger stored on many machines is
:04:12. > :04:16.being taken seriously as a way to keep a record of all sorts of
:04:17. > :04:21.transactions. We have been to meet a view block chain entrepreneurs. -- a
:04:22. > :04:32.few. I think the block chain to me is all
:04:33. > :04:37.about efficiency. What's cool about a block chain is that it is software
:04:38. > :04:44.that operates autonomously. Much like in a music is this, like the
:04:45. > :04:49.combination of the iPod and iTunes marketplace. We think it has the
:04:50. > :04:54.potential to be that disruptive. It is a piece of technology that you
:04:55. > :04:59.can facilitate and trust amongst individuals, governments,
:05:00. > :05:06.enterprises and business. We are in the city of London at the theory and
:05:07. > :05:10.developer conference. 300 or so people have paid ?750 each to be
:05:11. > :05:19.here for the week to learn more about the block chain. They're
:05:20. > :05:23.calling it web 3.0 and they say this is the weight the incident was meant
:05:24. > :05:28.to be, not run by anybody but sort of run by everybody, because no one
:05:29. > :05:33.person control it. The reason why so many people I hear is because they
:05:34. > :05:37.think it could dramatically improve how markets work. -- are here. Right
:05:38. > :05:42.now if you want to sell your house it requires a lot of paperwork and
:05:43. > :05:46.legal agreements, solicitors, and it can be slow and expensive. The idea
:05:47. > :05:51.is that this could be done as a digital transaction that recognised
:05:52. > :05:55.on the block chain by faster and secured without third party is
:05:56. > :06:02.getting involved. The possible implications of that, what you can
:06:03. > :06:07.do with that, are almost too many to imagine. If you think about our
:06:08. > :06:11.existing financial system, they're holding all this money and that is
:06:12. > :06:15.then a lot of power and that's one of the really compelling things
:06:16. > :06:20.about decentralisation. It doesn't have some person sitting in the
:06:21. > :06:24.middle of it who can change the system if they want to. Bureaucracy
:06:25. > :06:28.in general will start floating away as we get governments,
:06:29. > :06:31.institutions, individuals, businesses and enterprises to be
:06:32. > :06:35.able to trust and deal with each other as transparency and diesel --
:06:36. > :06:38.transparently and easily as we can send an e-mail to each other. A lot
:06:39. > :06:42.of bureaucrats will be watching this, worried about their jobs!
:06:43. > :06:48.Who is behind this is a technology? The inventor of it, on application
:06:49. > :07:00.of the block chain, is this 21-year-old. In general, I think we
:07:01. > :07:03.are seeing new technological eras that are as different from each
:07:04. > :07:07.other as say the Bronze Age and the Iron Age, but we see them, but every
:07:08. > :07:14.ten or 20 years. No single technology will bring about the
:07:15. > :07:21.exact utopia for your political ideology but it does make
:07:22. > :07:24.significant steps in that direction. By working together, we can create
:07:25. > :07:29.systems that are much more reliable than any single one of us can ever
:07:30. > :07:33.be. This is because the block chain is a distributed system which means
:07:34. > :07:37.no one person is in charge of checking it. Every user effectively
:07:38. > :07:43.has a copy of the data at a certain number of those users check the
:07:44. > :07:48.transactions to make sure they all are accurate and fit together. It is
:07:49. > :07:53.like a decentralised, distributed system, as a possible way of making
:07:54. > :07:56.the internet more democratic. That kind of connection, you can change
:07:57. > :08:01.technology that might change society, the benefits are clear to
:08:02. > :08:07.the typical user and to the way the internet works. But it is certainly
:08:08. > :08:12.not without its difficulties. Indeed, this kind of technology is a
:08:13. > :08:16.double-edged sword. In a way it lacks a central point of control,
:08:17. > :08:20.but that's also a problem. Imagine if somebody transferred ownership of
:08:21. > :08:23.your car or your house to someone else in a malicious manner. How
:08:24. > :08:30.would you get repossession of your house? There is no appeal body could
:08:31. > :08:37.go to. Also, as the sophistication of this technology improves, people
:08:38. > :08:42.will create viruses that will attempt to accumulate economic
:08:43. > :08:45.wealth, in the same way as they currently try to write viruses to
:08:46. > :08:56.steal your bank details and so on. Now it will steal your assets.
:08:57. > :09:04.Hello and welcome to this week's at ology round-up. It was the week that
:09:05. > :09:10.these children's company revealed its tech. Over 6.3 million
:09:11. > :09:14.children's account up in composite -- the most as well as almost 5
:09:15. > :09:18.million parent accounts. The US, France and the UK were most
:09:19. > :09:22.affected, as the names, addresses and pictures of users were stolen.
:09:23. > :09:27.It was also the week that the internet sensation Psy released
:09:28. > :09:36.another catchy, but incredibly creepy, music video. And supermodel
:09:37. > :09:41.Kendall Jenner won Instagram. She posted the most likely to this year,
:09:42. > :09:45.with 3.2 million likes. And big news for Facebook, as Mark Zuckerberg
:09:46. > :09:49.announces he will give away 99% of his shares in the company. That's a
:09:50. > :09:55.cool 45 million dollars. His shares are to fund an initiative run by him
:09:56. > :10:02.and his wife, which basically aims to save the world. Q diseases and
:10:03. > :10:08.equality. He also became a dad and shared it fire, you guessed it. And
:10:09. > :10:16.it was also the week that NASA created a humanoid robot, which cut
:10:17. > :10:19.serious shapes. Destined for Mars, it is being tested for all sorts of
:10:20. > :10:24.movements which could contribute to its future intergalactic missions.
:10:25. > :10:29.Not quite ready for a Strictly just yet.
:10:30. > :10:36.By now you will know I am a bit of a weirdo when it comes to turning data
:10:37. > :10:44.into pretty pictures. Yes, yes, it is. This is the new big bang data
:10:45. > :10:51.show in London. Part celebration of and part warning about the amount of
:10:52. > :10:56.data flying around the world, freely available to anyone looking. Here,
:10:57. > :11:00.some of the public accessible selfies taken in London and here are
:11:01. > :11:06.some of the masks designed to defeat facial recognition software,
:11:07. > :11:10.although even I can tell this won't work. This is a wall of selective
:11:11. > :11:18.tweets meet near Somerset House over the last few days. Wide-awake and
:11:19. > :11:23.awaiting the postman. If ever I survive a nuclear war and there's no
:11:24. > :11:29.internet or infrastructure, I would flee to Cambridge. I can't read that
:11:30. > :11:35.one out. Think of it as a cross-section of London's thoughts.
:11:36. > :11:42.The most relaxing peace to look out has to be this one. This, believe it
:11:43. > :11:49.or not, is the stock market in Galaxy form. Every star is a
:11:50. > :11:54.company, every flash is a trade in that company's stocks. When he just
:11:55. > :11:59.to see a small flashlight that it is probably ?10 million changing hands.
:12:00. > :12:09.Tell me about these weekly creatures crawling around. -- wriggly. Those
:12:10. > :12:12.are artificial lifeforms that live in the sky with the stars and they
:12:13. > :12:18.feed from the light generated by the trading. These creatures evolve over
:12:19. > :12:20.the course of the exhibition, getting better at finding those
:12:21. > :12:28.light sources and feeding off the brightest trades. So, it is just
:12:29. > :12:33.before 2:30pm UK time, just before 9:30am New York time. Is that when
:12:34. > :12:37.the stock exchange opens? Yes. You will see when the New York Stock
:12:38. > :12:40.Exchange opens. You can't miss it. Just before it opens, the creatures
:12:41. > :12:57.look as if they are getting excited. They do. Yes. Oh, wow! Ding aling,
:12:58. > :13:03.ladies and gentlemen, New York is online. There has been a lot of
:13:04. > :13:07.work, helping us to get clearance from individual stock exchanges
:13:08. > :13:13.around the world to use this data. Because it is so valuable. It was
:13:14. > :13:20.the sort of dotcom era when we started this. I was asked to go in
:13:21. > :13:24.and fix it. I went into the Gallery and what had happened is because the
:13:25. > :13:32.stars clustered together based on correlations between companies, the
:13:33. > :13:35.market had collapsed and all the companies had dropped their prices
:13:36. > :13:38.at the same time, which meant every star correlated with every other
:13:39. > :13:50.star, so they all basically collapsed into a black hole. Oh my
:13:51. > :13:59.goodness. You visualised the dotcom crash as a buy coal? As it happened.
:14:00. > :14:01.How poetic! -- as a black hole. Next, we have been looking at other
:14:02. > :14:20.ideas to help us relax. These days, we can suffer from data
:14:21. > :14:23.overload and with so many of us living such busy lives with so much
:14:24. > :14:27.going on around us and always being contactable on one of these, it is
:14:28. > :14:33.not surprising that we can feel a bit stressed out. I'm looking at
:14:34. > :14:42.technology that can track your tension and even relieve it. When
:14:43. > :14:48.worn in the white position, this standard activity tracker can also
:14:49. > :14:54.track your breathing and therefore monitor your stress levels. -- worn
:14:55. > :15:00.in the right position. It's senses understand body activity and
:15:01. > :15:04.breathing patterns. And then some clever algorithms identify your
:15:05. > :15:10.moments of focus, calm and activity as well as any moments of tension.
:15:11. > :15:14.As well as selecting daily targets, you can set alerts like a warning if
:15:15. > :15:21.you have been tense for two minutes, and then the app has exercises to
:15:22. > :15:25.help get you back on form. Exhale slowly and notice how it feels as
:15:26. > :15:29.the air leaves your body. My only issue is that the device has just a
:15:30. > :15:38.six hour memory so you have to keep connect it to your phone, unlike my
:15:39. > :15:43.regular activity tracker, which I just sync when I feel like it. When
:15:44. > :15:48.we start to feel pressure, our fingers become moist and that can --
:15:49. > :15:56.affects the ability for the skin to conduct electrical current. The Pip
:15:57. > :16:04.is monitoring how that works. Each time you do it, you tried to improve
:16:05. > :16:09.your score. 75% is quite good. It synchronises to various apps. One is
:16:10. > :16:14.relax and race which is a game where the more relaxed you are the fastest
:16:15. > :16:17.you move through it, so train yourself to become calmer on demand
:16:18. > :16:23.and you can keep bettering your score. I'm not sure what your Dragon
:16:24. > :16:26.is a very relaxing picture. Of course, I stress levels can
:16:27. > :16:33.seriously impact Dzeko and mental health. -- high stress levels can
:16:34. > :16:42.seriously impact physical and mental health. There is some irony in
:16:43. > :16:47.technology coming to the rescue. Meditation apps have been around for
:16:48. > :16:52.a while now and they teach the basics of meditation and mindfulness
:16:53. > :16:58.in manageably short sessions. My first thought was that I didn't even
:16:59. > :17:07.have time for that, which would have shown how much I needed it. Find a
:17:08. > :17:12.quiet place to sit where you won't be disturbed. Yet all of this
:17:13. > :17:15.tracking proved how calm I am. Of course this technology cannot take
:17:16. > :17:18.away the pressures of modern life but it can encourage us to think
:17:19. > :17:31.about how we feel so we can do something about it. Back at the
:17:32. > :17:38.exhibition, a timely reminder of how the amount of data we are generating
:17:39. > :17:44.has exploded and, counterintuitively, how little space
:17:45. > :17:54.we now require to install it all. -- store. In the future, we may keep it
:17:55. > :17:59.biologically. We already do. She has been working on this for a couple of
:18:00. > :18:03.years. And she has taken the DNA from discarded cigarette butts and
:18:04. > :18:06.chewing gum... Yes. She has been looking for traces of DNA on items
:18:07. > :18:13.that have been left in public spaces. These things that she knows
:18:14. > :18:21.are samples of this essential set of data that identifies us, like our
:18:22. > :18:29.DNA. She has created faces from the DNA found on these things? Yes. Can
:18:30. > :18:34.this possibly be anything like? They are things you can know like the
:18:35. > :18:40.colour of the skin, the ethnic opposition of your background. But
:18:41. > :18:47.you cannot know how pronounced your chin is, for example. Aspects that
:18:48. > :18:52.are real and aspects that exist in potential space. But the most
:18:53. > :18:58.interesting thing is that some of our most personal data, we are just
:18:59. > :19:04.spreading it around. We are literally leaving it on the street.
:19:05. > :19:11.So if you recognise yourself, you spat out some chewing gum on Wilson
:19:12. > :19:26.and Stanhope in Brooklyn, New York. Is that if you, put it in the bin
:19:27. > :19:42.next time. -- if. Headphones socket don't like fluff. This is a tip.
:19:43. > :19:48.Insert and clean. That is better. This is the London situation room.
:19:49. > :19:54.There are two works on here. This is London 2036. We will deal with that
:19:55. > :19:57.in a moment. First, the work on these walls. This is some of the
:19:58. > :20:02.data that London is generating right now from Twitter, Instagram and
:20:03. > :20:08.transport for London. It looks very text heavy there but it is being
:20:09. > :20:14.visualised on this wall here and this is the story of how it was
:20:15. > :20:19.made. We are a data visualisation studio and we were approached for a
:20:20. > :20:23.new commission for an exhibition they are doing. We were asked
:20:24. > :20:31.specifically to investigate real-time data. Our aim is to
:20:32. > :20:36.democratise data and make it accessible to everyone and we do
:20:37. > :20:40.this in a visual way. We are looking at three different types of data,
:20:41. > :20:47.three different sources. TFL, Instagram and Twitter. This is a
:20:48. > :20:54.sweet. It is not just that which we share. Is quite small after all. It
:20:55. > :21:01.is just one line. The rest is the metadata associated with the sweet.
:21:02. > :21:09.Time, when it was created, latitude and longitude. Our main aim when we
:21:10. > :21:17.create data is to communicate a story. That is generally true of
:21:18. > :21:22.every data visualisation we create. Somehow they deeper purpose. This
:21:23. > :21:26.piece looks at telling everyone across the exhibition what data is
:21:27. > :21:36.and how it can be visualised to create a story. As soon as something
:21:37. > :21:42.is posted, we analysed and we cross reference with a list of 2500 words
:21:43. > :21:47.that have a score from -5 two positive five. The pink represents
:21:48. > :21:55.positive words and cyan negative words. During a normal day, we will
:21:56. > :22:01.get between 70000 and 80,000 tweets. You are never going to be
:22:02. > :22:06.able to process as much information as I computer and visualise it, so
:22:07. > :22:10.it gives you the key trends and patterns and gives you insight,
:22:11. > :22:13.allowing you to investigate in a much more targeted way than you
:22:14. > :22:19.would if you just had an Excel spreadsheet in front of you. That is
:22:20. > :22:25.London today but what is London going to be like in 2036? That is
:22:26. > :22:28.the question we are about to answer. Your challenge on this game
:22:29. > :22:33.is to make a series of infrastructure changes based on the
:22:34. > :22:41.evolving needs of the capital. But will you make the right decisions?
:22:42. > :22:46.The game asks you to make choices about how London should develop.
:22:47. > :22:50.What kind of transport will you prioritise, where will resources
:22:51. > :22:52.like water and power come from for the city's growing population, and
:22:53. > :22:58.more to the point, where will everyone live? In order to keep
:22:59. > :23:02.services running, we need to invest in more self driving cars or more
:23:03. > :23:07.cheap capacity. Self driving cars, I think. How important is it for
:23:08. > :23:17.Londoners to have their own garden. Not at all. Concretely not. These
:23:18. > :23:24.are the -- concrete the lot. These are the kinds of decisions that
:23:25. > :23:30.politicians are making right now. How would you do the job. Available
:23:31. > :23:35.housing has declined... The most popular job is marketing and PR.
:23:36. > :23:40.Sorry, future London. I will have to have another go. Just before we
:23:41. > :23:43.leave, one more example of the kind of data we are inadvertently giving
:23:44. > :23:57.away two whoever might want to make use of it. Ladies and gentlemen, I
:23:58. > :24:08.know where your cat lives .com. If you have uploaded a picture of your
:24:09. > :24:12.cat and used a hashtag, #cat, you might be on this map. You have been
:24:13. > :24:32.warned. Hello. Welcome to the weekend
:24:33. > :24:36.but what a wild and windy start.