So here we have the five minute seminar plan to help those working in higher education reduce their lesson planning anxiety and increase their impact. So I want to just script through an example that you can use in your own setting and I want to try and do this in the next five to ten minutes. So I'm going to be very quick. So from top left, working clockwise around the plan.  So I would probably advocate in here, it's just a simple way of looking back over where the students were before, who was absent, what happened in the lesson.  Now I appreciate you working in a highly academic environment with a huge workload in terms of reading material and academic language. But with all those triangulated, those two boxes plus the context of who you're working with, that brings you to the big picture. Now in terms of the seminar itself, questions I would ask you in terms of your thought process is what is it that you are trying to achieve? Why? How are you going to do this? And then just consider what ifs. So for example, if you have to move rooms or the IT support doesn't work or you don't have enough materials or hardly any students or too many students, whatever it be, just all different considerations to allow you to be best prepared as possible. So that is a starting point which is a thought process, not necessarily filling in the form. Now I wouldn't say that you need to scribe anything in these three boxes at all, but it's a good starting point to think about the conditions that I've gone before leading you to the point of the seminar itself. So when you will look at research, when teachers are clear and precise, it has a higher impact on student outcomes. So thinking of that as a starting point, how can you be clear and precise? How can you use command words, connectives to help students meet the success criteria? So I've given you an example here. Now, I don't work in health. I'm a teacher of my background design technology. So looking at, for example, trying to mix those two from my experience for you to use as an example, I would write here for myself and share this with the students to understand why and how anthropometrics or the data itself could be used to improve the design of prosthetic limbs. So I've tried to amalgamate design and health here as an objective. So that's what I want my students to be clear about, that this is what we're learning and why. Now the why is your target, the learning outcomes. So how would I track this throughout the session or the next seminar? So I would consider the what, why, how. So I want students to take away from my seminar what is anthropometrics, whether it's the etymology of the word, given some examples in all areas of design or health, or in particular this example, prosthetic limbs and how it might vary from standard, you know, percentile groups. So, you know, the bog standard limb that would fit most people of an adult age for certain joints or unique situations where, for example, I might lose the bottom area of my arm. We don't get into many specifics, but you get the idea of what we're trying to achieve. In this area here, now this is working on a 60-minute model, assuming, you know, I'm not advocating you have five transitions, but give or take, students arriving, settling down five or ten minutes. So kind of minute seven to ten kicking off, and then with time for questions and answers and transition to the next seminar, that's how I've divided up the session here. So things that I would put in as prompts for yourself. So if we look at row one, first of all, what are you doing? What are your students doing? So sitting at the front, sitting in groups. What's the key concept? So you'd introduce the objective to understand why and how anthropometric data is used. And consider a key question you want to ask students at this particular moment. So what do we understand about prosthetics or what do you know about anthropometrics? Something simple. Get a discussion. You've obviously got resources, got slides or handouts, or maybe even a prosthetic limb. On to row two, so transition. So students might be moving to another part of the room for a demonstration. So how would you manage that? Five students in the room or 50? You're going to kind of need to consider that. This stage I might want to test to evaluate various limbs. Key question, I would start to ask when could, how might, why will? All sorts of different questions to get discussions. Consider the equipment that would be needed, how many, et cetera, et cetera. Row three, let's have a recap. What do we know so far? How do we now discuss questions, et cetera? Row four, have another group session. Let's measure some limbs of ourselves. Let's brainstorm. Let's start to synthesize what we know. What do we need to find out? Have some discussions, a bit of feedback. And then bring students back to the end. I want to check what they know. So I need to plan some key questions. And if I don't ask my students, what is anthropometrics? What do you know about prosthetics? How do we spell it? From the simplest to the most academic. If I don't get any feedback from my students, I cannot guarantee that they have learned anything. So in terms of being clear and precise, I need to regularly check what students know. And this can be from mass screen, so mini whiteboards, thumbs up, thumbs down, rather than just relying on one person with a hand up to kind of affirm what you think everybody knows. So just some simple processes to reduce your anxiety, increase impact in the classroom. Kind of finishing off. So the bottom area, we've got the application of the hook. So with the amount of things that we have to teach students, much information can be lost. So how can we improve retention and retrieval? So in this particular example, I would give the group in the room some measuring tapes and prosthetic limbs through the ages, get them to measure, measure ourselves, have a bit of fun. And there's a good chance that I can make learning stick. But again, I wouldn't know that unless I tested it, which is why this area here, the key questions, these questions can be targeted for groups. You know, to try and ask 30 or 50 students in a room is an impossible asking itself. So key questions for groups of students. Now you will have some data. You'll be aware of your students that you meet every week. So you'll be able to pitch those because you've got some relationships established and some data or past performance to back that up. But making sure, you know, the principle of the original five-minute lesson plan was, you know, not what am I teaching, but why? Why is it important that students understand how anthropometrics is important in the design of prosthetic limbs? Not just here, we're looking at some various objects. Let's measure them. And then the final stage, how would I follow that? Follow this up. So next lesson I would check. Now for your students as a follow-up, you also have Moodle and your academic platforms that you can use. There's a significant user of Twitter with over 200,000 followers at the time of recording this video. But a hashtag for this conversation, for example, is hashtag five-minute plan, which you can see here. So in your own context, if you're producing your own plan or templates, you might want to create the hashtag itself, like you've got there, or use that to encourage the dialogue. Or you might want to just add, for example, five-minute plan to add in your own name. Or you might want to add in L-S-H-T-M just at the end here. So I was just double-checking to have the correct spelling or, you know, I'll put McGill here or whatever it would be. And then you create a back channel where people can share on Facebook, Twitter or Instagram, whatever it would be. That is my alarm to tell me that this is now approaching 10 minutes. That's a good habit of mine. It's something that also makes something memorable. So by hearing that sound itself, if you put that in your classroom, your seminar, with students as well as some objects, it allows you to be concise, keep your information simple, you know, consider materials, students in or out of seats, what's the noise level required, loud discussions, quiet conversations and what time frame is available through these important sequences of the lesson. And obviously at the end, time to move on to the next place. So I'm going to pause the video. Thanks for watching. Find out more at teachertoolkit.co.uk.


Felly, rwy'n credu bod ni'n meddyliau i'r wych, ond rwy'n credu bod ni'n meddyliau gwneud o'r gwaith o'r gaeliaf, a'r ddaidd, boedd yn cael ei wneud o'r moll y gallwn, a'n gweithio'r ddwyliadau, a'r ddwyliadau a'r cadwpol, yn ddaidd yma, sydd yn ddaidd a'r ddaidd i'r ddaidd. A'r ddaidd yn ymdwyliadau, rydw i'n ddydig i'w ddysgu. Rydw i'n meddyliau i'r ddaidd, yn y llwyddo llwy o'r ddaidd, draws ond eich gyfnod am yr ystyried Englishman yw'i addysgu' i ystyried. Efallai ymaraf. Yn Rhain gan Bannam, y eraill ymäinraedd Iraqol, yn rhyngwylliant â cryf, ac yn rhanimu ac mae'r cyngor yn rhan, ac ydw i'r cyllid ac yn bwysig, ac dyma'r cyllid a'r llwyll, bob ar hyn eich cyllid ac mae'r cyllid yn bwysig, a ydych chi'n rhaid i'r pwysig i ddechreu'r hwyl rhanau a'r 20th sydd i ymwrth hyn o'i wgeitwch yn y L-60 oeselu. Felly, mae'r cyfarchau i'r lleol yn ein bod yn ddweud y cwmaint yn unig o'r cyflwyngol o'i gwirio'r lluniau ac eu ffuncioedd yn gyfrifiadau nad yw'r cyflwyngol fydd yn gweithio i'r bywyddoedd yma, dechreu'n gweithio. Mae'r cyrstyniad bod data yn y sylton, dylai'r bywydol. Mae'r cymosedlau yma yw ymgylcheddiaeth o'i gweithio nifer o'r cynni, roedden o'i ddweud wilt iddyn. y cwestiynau yn y bwysig o'i gynhyrch beth, ac mae'n gweithio y cyfrifysgol, felly mae'r datblygu ymrwynt yn ei sgwrs. Mae gennym gael o'r cyfrifysgol, fel oes o'r cyfrifysgol o'r cyfrifysgol ar hyn, gan y 60-、 70-rhyw cyfrifysgol, oeddiw'r cyfrifysgol yn 1965, ac mae'n ddysgu'r cyfrifysgol ar gyfer cyfrifysgol, ar gyfer eu cyfrifysgol, oeddiw'r cyfrifysgol, ac yn gyfrifysgol ar gyfer cyfrifysgol, pewaradau cyhoedd maen nhw, a rhaid i'r pryd yn cael ei wneud. Ar hyn ryw hwn, dyw'r trwy urnod bwysig iawn pewgau hefyd a cyriadio i ni'n gael. Rhaid i gwaelio'i eich clywed o'i ddweud o'r gael? Mae'r odd yn cofynol i anticipated, fe ar gyfer iawn i'r ffyrdd yn cael ei ddechrau. Rhaid i'r bwysig, rhaid i'n cael ei ddweud fod y tais gan y ddech. Lleiwch inni Lawrys Bwysig, hefyd, beth yw'r sefathau a lefyniaid ac yn ddweud. I'm a designer, I'm a driven by human-centered design, it's the practice that I've done, but the question is again, to do what? And how should it change? That's the again what you're driven as as a designer. What's the right thing to do? What's the ethical thing to do? What's the thing that will generate a feasible, a desirable, a viable business or product or service or governance or space or building so on? ond. This is the final architect, I'll show you. I'll bev you of them early on. This is sometimes attributed to other people like Alan Kay, but it's a quote I like. The best way to predict the future is to try to make something happen to designer. So, with that in mind, I realised that I used to work here at ARR up a few years ago in the smart cities team, in the foresight team, and the urban planning team, somehow in three teams simultaneously. Ie wneud gallwn ni yn gweithio am gael myfyrddau sy'n maen nhw'n myfyrddau. Sta'r hyffort yn siarad ei diogelio gyda'r gilydd ff shortr y dal Senedd â'r cystaflun arddangos maen nhw. Ie yw'r cystaflun hwn yn gweithio'r cystaflun i'r gyfer por приходol. Mae'n gweld yn cystaflun i'r cyfwyrdd. Mae'r hyfer fod yn dweud a'n fanyl i'r cystech yr hidraeth, a gweld eich cynnig a'r cystaflun sy'n lawer i gael'r cystaflun arddangos maeni. Felly mae'n borau'r gwrw i'r Sydney, a dyna'r maesdarr, a'r Abudabi. We tried to make it honest literal for the London Olympics, but it became second in that competition. It is probably a blessed relief because we had no idea actually how to make this thing. It was Boris' favourite, I don't know what Russell Brand would have made a bit of it anyway. Probably something quite good. This was the idea of a big reflective kind of smart meter at a civic scale on a neighbourhood scale. y bysgynt y datblygu i'r bysgynt yn bryd i'r achos yn ffordd. Felly, rydw i ddim yn y dathb loc arwy'r llai ac yma'r cyfrifiadau yn gent yn y bydd gondol. Yn ychwaneg yn roi'r cyfrifiadau, nid yw yng Nghaerdydd, yn hynny. Dyma'r cyfrifiadau. Y breed ffordd yng Nghaerdydd, ond yn oed yn cyfarfod o ddistrw yng Nghaerdydd, ster. Mae mae yw'r creu mwy frawid hynny, ac mae'n gallu'n cael ei clrwys yma. Mae'n yw mi ddweud eich ffyrddol yn wedi'i wneud arall, a methu yn ddod yn peigio yn llwyddar chi. Mae'n gweithio iddyn nhw'n hynna'i ddweud eich gwybraeth i ddweud i ddweud yma, ac mae ynaeth eu ddweud y wnaeth i ddweud yr un oed neu mae'n eich ddweud ei ysgrifennu i ddweud yma, y ddweud i'r cyffrediniaeth ysgrifennu o'i gweithio. wrth hyn mae'n i'n wahanol sy'n gwaith rrwbl wneud bodrach yn ei whwärio ar gyfer y siaradau amser ac mae'r ymddell yn cael eu bodi'r ysgol i'n ei ddarso'r ffordd a'u a'u fydda'i'r awr o'r wyf yn ymwneud? Mae'n bwysig am yr arddog.  Mae'n dweud o'u gwaith o gystrymrestau a'r syffydon ond yr hyn yn ymwiel, bwyd yn gweithio i ni'n debyg eto, wrth gwrs, mae'n eu taeth eu cyntaf arall, gyda ei hynny'n ei gweithio'i cyndoedd. Ond mae'n ddata, maen nhw'n ddata ar y brin at y peth yn y byddio'n ddau i wedi medru, mae'r yma hwn wedi'n cynghori arall i ni oherwydd cyffredig o Handau Yn Llywodraeth cwilio. I could find, from 1661, by John Evelyn, who was a man about time at the time, and he wrote a letter to the king complaining about the quality of the air, and he wrote it in a very careful language because if you didn't complain to that particular king you might lose your head. But it's kind of an amazing document, it's called fumifugium, the inconvenience that the air and smoke and London dissipated to the gather with some remedies humbly proposed. So it's kind of amazing actually, it's worth reading, you can find the PDF of this online. But we've known the air in London is bad for a very long time, in a way we don't need the data to tell us that. It's clearly bad at times, the question is then what do you do about it? So that comes back to these things again, the small box there is the Intel Air Quality Centre that we're working with UKSME called Science Scope, based out near Bath, who make the sensors, Intel who make the box and the boards. That gives us something that we can start engaging citizens around the idea of air, understanding air directly. But actually as well it helps us understand what you might call green infrastructure, parks, rivers, lakes, blue infrastructure, it's literally, but anyway, or grey, brown in London often. But green infrastructure, the relationship of parks to healthy living for instance, we've inadvertently designed cities to make people unhealthy quite often. So how do we design to make them healthier? We can do, but we just don't have the data on that relationship in the right form. Our health data is often national regional, because that's how we run health in this country. Planning decisions are hyper-local, there's not a very good relationship between the two. What we need to make there is a tool in the space in between to enable health impact assessments to be meaningful. Other ways of reading the city, this is something we did for a project where we, that's a fellow from CASA in the background at UCL who has a modified EEG centre, so it's looking at brain activity. And we had people walk around the city, this goes visually impaired as it happens. And they build these stress maps of the city, we haven't really been able to understand this again. We sort of instinctively know that the red bit there is Tottenham Court Road and that's quite stressful, whether you're sighted or not. But we didn't really know that, say, the green spaces are equally calming whether you're sighted or not. So you don't have to see the trees to actually feel the benefit from them. Which is, again, you might instinctively think that, but we can begin to start putting something behind that now. So new ways of reading the city, and this isn't a kind of a strong tradition I think of actually understanding the city. This is William H. White stuff, you could look at Yan Gales to some extent, Jane Jacobs and so on. In terms of understanding the way that urban spaces perform, this guy's quite brilliant. I filmed from 1980 again about understanding why spaces work and what they do. They used cameras, just trained them from the tops of buildings like this and did hours and hours and hours of studies. Still not done enough. Buildings, we know buildings can change through digital dynamics. So the Wickey House 2.0 project was something that Arup put some work into. It was led by 00 Architects Studio. We helped with it a bit. Wickey House is an open source modular self-built housing system, which sounds very fancy, but basically means you can download a set of machine instructions to a CNC router, which just cuts out wood into patterns, which you can then hammer together with a mallet. Nicely, the router also cuts out the mallet for you, so everything kind of comes in. You can put it together, two or three people to put it together. No construction experience and you can make a 70 square meter two-story house now out of this thing. It's amazing and the tolerances are really good. I know this looks like giant Ikea, but actually it's properly insulated. Arup did some work on the services. It's got USB power in it. I mean more advanced than what the housing market tends to produce. Interesting, but it's an open source system, so you get a massive diversity of designs and possibilities within it. Having said that, this is not a very diverse design, but this is the one that we helped to make. The important thing about this was we made this for London Design first of all. These guys made this. We helped a bit. People could walk in it and experience it again. Half of them walk in and go, this is like a big Ikea cupboard. I could never live in this. The other half go, this is amazing. I could have a house with three grand or thereabouts. That's extraordinary. It's made out of plywood or OSB. It's super cheap. The real issue there, of course, is land value prices in the UK. That's the interesting thing to flush out. Again, the data is powering all of this stuff, but the question is again, where are the blockages? What's stopping that possible radical disruption of housing as a system? Actually, it's land values. The answer ultimately is things like community land trusts and things like that. You make the thing though to get to that point. You flush out these issues. Is it diverse or ethical or not? Completely different scale. We did a project for United Arab Emirates around 2030, which Dubai is like dog years. 2030 for them is about 2100 for us. They move a lot quicker around certain things. This was a responsive air conditioning. You walk under these things, the sensors trigger, and they release a cooling vapour of just water mist, like a water cooled mist that you walk through. Instead of air conditioning an entire room, it follows where people are and produces a mist at that point. You need to basically condition where there are people. You could radically change again the way places like Dubai or Sydney or Caracas for that matter. Handle air conditioning is driven by sensors and data and internet of things essentially. Again, we're trying to get to what could you do with that element there. Again, by making the prototype, this is an MIT collaboration, it flushes out. Would that work? Is that a good idea? Is that a bad idea? Is anybody going to buy that? How does it feel? Do you feel weird that you're being tracked? It's not really tracking you as a person. It's just tracking you as a shape. There's a football under it and the thing would still trigger. You only get to that again in making it. This one was a collaboration with the UK start-up around digital signage, but a physical sign, like an old-style train station display that goes and makes some new message essentially, but by putting the internet in the back of it via ZigBee and various other things, you're able to then produce something that has a physical outcome, that's a physical sign. Those are things of physical pixels. The head's just flipping them on and off. It's got digital dynamics in the back, so you can change things on demand, but when it's set, it's using no energy. That could replace all of the crappy LED screens that you see in buildings left around the centre, which are pumping out energy all the time but barely changing their message at all. Objects. With Microsoft UK and Guide Dogs for the Blind, we helped this wearable prototype come to life, so she's visually impaired, and that prototype thing has a gyroscope, a potentiometer, a accelerometer, and it can tell where she's looking in space and where she is. It's talking to the phone in her pocket, and the phone in her pocket is talking to Bluetooth, LE beacons embedded in the environment, so in stations, on trains, on bus stops, and so on. With all of that, it makes a 3D soundscape that she can walk through unaided by another person. There's 180,000 people in the UK that can't leave their home unaided by other people. An employment rate amongst visually impaired is 70%, so it's an extraordinary waste of humans, if you like, if you see it in that way.  Guide Dogs cost about £40,000 to train. We can't make enough of them to cover all of the visually impaired people we have. This is a prototype to flesh out what you might do. This really is about navigation and wayfinding in the city, in the near future. What happens when you have Bluetooth LE beacons around? What services could you produce? We're using, in the nicest sense, visually impaired people as lead users, extreme users of the urban environment in a way, to try and understand how, whether a pasty shop pinging you as you walk past is a good idea or a bad idea, probably a bad idea, maybe Rick might like it, I don't know. A healthy pasty, of course. Equally, when you get to the bus stop, it can say you're at the bus stop, the number four is two minutes away, the free seats are at the front, all the stuff that Emma knows more about than I, but that data is beginning to emerge. How do you wrap it into a user experience? That's interesting to us, I think. That asks, what is the street furniture of the 21st century? Those are two great British designs. David Meller did the traffic light, David Meller, for those of you who don't know the designer, David Meller, based in Haversidge, did many other things, and then Kineer and Calvert, Margaret Calvert and John Kineer did the road sign system. UK has a strong design heritage in this area. What would it mean as those things become connected? Robots. Do you buy robots? Those things go together quite well in a funny way. We tried to flesh out, what could you do with maintenance robots? That's actually an Italian beach cleaning robot, which is a real thing, by the way. But we pretended it was a street cleaning robot, so if you had got a Roomba and it was for the streets, is that a good thing or a bad thing? How's that going to work? How's that going to work alongside people? How's that going to work alongside traffic? Can it navigate its way around? Isn't that an interesting question? What about sewer cleaning robots? What about little robots can go down storm gullies, things that can clean the photovoltaic cells on the 72nd floor? Things we don't necessarily want people to be doing. Converse is that? What about all those jobs? What are the social ethical issues with that? Can you only get to these points when you make the thing? I took this film in Greenwich last week produced from a tower, but that guy is pushing that thing. There's no doubt that a robot could do what that guy is doing. Is that a good thing or a bad thing? Open question. You only get to that if you get to the design of a service, the design of a potential product. Finally, services. The service layer in cities is now perhaps the most radically transflonational and the one that traditional urbanism is least equipped to deal with. Part of that is around the way that we make decisions about cities as again the other speakers have spoken about. We did some works helping the GLA, the Great London Authority, think about platforms for conversations with people. There are many start-ups in this area like Commonplace or Sticky World, Space Hive here, which the mayor of London then used to run a neighbourhood funding campaign. Loads of interesting innovation in this area. The park lot project in Los Angeles gives people a kit of parts in the form of construction diagrams and things to enable them to build mini parks in parking lots. These ones are then within regulations, but what you do with the park is up to you. It's the complete flip of the traditional city approach waiting for you to come up with an idea and then telling you no in various ways. Here's the city reaching out saying, I do, over to you to do it. A different approach on openness, I think, because it's far more crafted. It's a service design process behind that. But it could be like this. This is how they don't in Switzerland. When they're doing a planning application, they make the building in these kind of structures, these ghost structures, it's called Baugerspan in front of the thing. They leave that up there for a while and see what you think about the scale of it. Does that feel right or appropriate or not? That scaffolding is describing a proposed application for planning. In Chile, I'd actually say Latin America is further ahead on this stuff than anybody else in the world in terms of genuine citizen collaboration around city making. This is a great project around constitución, which you don't have time to go into. So maybe Google, Mouchos or constitución or the rebuilding thereof. They remaster plan their city in 90 days with 93% turnout in the vote and full public approval. This is what we're thinking through very carefully in a very smart way, no pun intended, how to collaborate with citizens about the building of the city. 90 days is extraordinary for a city master plan. This is a city of 30, 40,000 people, not a tiny village or anything. This is how we do it in the UK. Some of you have seen before, I wrote about this the other day, but instead we tie a piece of paper to a lamppost in the rain and hope you look at it. That's that. We can probably do better. I'll leave it at that. The question about scale is really important. What should we scale and why? We shouldn't scale everything. Things are local. Cities are actually local. There's a really, I think, big challenge about why would you scale something. In terms of open data, I mean a city map, her is a kind of a well-trodden, a well-trodden success story, I guess, frequently-trodden story, powered by the data store and other things, like Open Street Map and Four Square and that Yelp, I think. And it's a successful venture capital-funded startup. The interesting question there is, what should TFL get back from CityMapper? If anything, open question. Is it good enough that that's on half the smartphones in London probably and people are using it as a good thing? Possibly not. I'd argue that TFL now know less about the way Londoners move around than CityMapper do potentially. CityMapper know genuine origin destination data, my house to the pub. All TFL know is the number 43 bus stop to Old Street Roundabout or something like that. So they're missing out a vast amount of picture on what CityMapper has generated on top of TFL data. They've added extra strategic value. There's also financial value there. Interesting question. Should the contract around open data include a percentage of finances gained at some point by the company if it goes public or if it floats or if it's funded? Arguably, oddly not. I have no idea to be honest, but I put that in front of you. I'm actually more interested in the strategic value because if TFL could pull that strategic information back in about how Londoners move around, they can deliver a better transport service, which of course CityMapper relies on anyway, and we all rely on. So you'd want to have that, but currently I don't think they have any particular right to see the value added extra strategic value that CityMapper generated. So again, by looking at the application on the service, we get some really knotty questions around open data. Finally, the way that services are changing things, Airbnb is radically changing the way that urban fabric is used. As a service layer, a few lines of code has changed the way that the fabric is being used. Uber is changing the way that mobility happens to some degree, not massively, but somehow massively, not to be worth $40 billion in terms of valuation, which is bigger than most things in the built environment business, but that's kind of an extraordinary thing. Again, a few lines of code, they don't own any cars any more than Airbnb own any space, but they're both changing the way that the city happens. Bridge is possibly more interesting again, because it's a predictive on-demand transit system, a bus that basically goes where the demand is. They use social media to do predictive analytics to say, well, there's probably going to be a need for a bus over there in 12 minutes. Let's send a bus in that direction. It works. It's kind of over and above the traditional 20th century route. Again, in the Dubai exhibition, we flushed out some of these things by making these fake self-driving cars and having people sit in them and say, actually, you don't have a steering wheel in a car. What do you use it for? It might as well be an office or it could be anything. So, to experience that, change the way that people thought about it. There are key issues here. If we're going to share it on-demand autonomous fleet, big if, if, if, if we did, though, we could reduce the need, MIT, argue, for private cars in the city by 70%. That's a city like Singapore, let's say, in London, 50%, 40%, I don't know. Extraordinary number. Again, the impact is on parking space, if nothing else. Never mind air quality, health, all of those other things, carbon and so on. But that's a completely different approach driven by data, but the value is derived when you make something with it. The question there is then, what kind of city do we want? These are the taxi drivers out on strike about Uber. So, what kind of city do we want? That's a long way from open data right now, but ultimately, I think that's where we need to move the conversation. I'll skip that. It's just the final thing then. So, my question is, in the spirit of Cedric, how do we ensure these technologies are well considered that they create a sense of the city as a public good, a better future city? That's the question that's driving us. There's a whole set of things that I won't go through them, but they're all basically a design, human-centred design-led approach, iterative prototype starting at the street level, assessing exactly what to scale because not everything needs to scale, not everything should scale, and making it tangible. Thank you very much.


First things first always grab your wallet before going into the exporting good How you doing, man? Uh, I think we're good Thank you, I thought he was gonna say something So we're at Dick's Sporting Goods right now. We're gonna be picking up some tackle. We're gonna be going fish We're doing a bank fishing video today. It's been um, it's been about a week and a half Maybe two weeks since I bank fished so I'm excited about that and we're in Florida a bunch of big bass Action. So the first things first we got to get some lures for today That's what we're gonna be doing and then we're gonna be hunting for some big bass. So let's go ahead and go to over go to over go over To the fishing section. I hope they have a kayak on the ground. You should ride it down the escalator Four dollars a chatter dog Is that with the 25? I don't know. That's a good question. So first things first We got to get the chatter bait action going Usually when I'm here in Florida, I prefer the black and blue.  We do not want that a turtle A yappy rat Old yappy rat looks a little bit yappy, don't he a little tail What is this a yappy frog? We got the yappy rat and the yappy frog, baby That'd be some cool. So Nothing beats the moose. So it's kind of hard to It's kind of hard to buy frogs when the moose just catches them on. Oh What is this right here, this is like 12 different this was all on one thing You got the yappy rat the yappy frog and then two juicy looking prop fishes. I don't know about that, man They cannot beat the moose Get enough What is enough?  How many do you have? I think two is fine, right? Yeah, I brought another one in the truck But I do need some trailers because the black and blue usually there's not many black and blue swim base or black swim Bates might have to go with like a little crawl There we go Going with the little easy's and these are in ghost shad It's kind of got blue little bit of gold sparkle. It's gonna fit pretty well on this black and blue chatter bait That's what we're gonna go with a sexy two chatter baits and two packs of trailers right there.  He's just already had he was just chasing it And that's what we come here for that was a good bass. Thank you.  Let's go. Let's go. Let's go. Here we go Hit that like button if you guys are new to the channel haven't hit the subscribe button Best bass fishing channel out there, baby. Be sure to hit it Beautiful fish to start off the day we're gonna get back out there on the black and blue chatter bait I'm gonna toss a man. I'm gonna let you guys know don't think I'm rude for throwing a bass in but it's actually I can't get down to water He kicked off man, that's a good way to start the video Are we gonna need some more swim baits You can't get by with one. He's there. He is Yep, we produce the one Jigging it on the bottom. Yep. Yeah, he's through my swim bait. What did I say? You not have any?  Oh, yeah Allen Bob's got one.  He's as big as I thought it's a good one All right boys We got a double up on the chatter bass now it's happening. Nothing really big You know about a pound and Corey's hefty fish pound and a half Still beautiful bass. You cannot beat a double up. So let's next thing we can do Leave another cast out there Beautiful Oh, yeah Double up mine's big, bro. He's big. I caught him without a trailer dude. Look guys He's got a good one on. Oh, yeah. Oh, yeah, get him up. Yeah, baby double up to He's schooling out in the middle. There we go. Let's go baby. Look at this I want to show you guys something. I just called that fish before that's my first cast or maybe second cast without a trailer Like that's ugly It catches donks, bro That's a beautiful fish. This one's pushing every bit of three pounds right here Beautiful, beautiful. Thank you guys. Let's get back in the water, man. Look at that beautiful fish guys beautiful Florida bass Here at Pona Vida Beach, Florida in Jacksonville Catching fatties to double ups already. That's scaring me right now. God.  That's a good one. Oh There she goes Big Big. Oh my god What you got to say about that dude all I got to say is I've caught three fit now I've caught four I'm about to say three of the fish have been for three and four pounds though These are a bit of four pounds. Oh, yeah, every bit of four pounds. Oh, you little trolls in the comet saying this is a two. I Can't do that. Oh That is a beautiful bass Dude, what the heck man? I've got three good ones. That's without the without the skirt That is so insane Big fish all day. That's a four pound fish. Oh And I do have something to say and let me release this guy So you guys know how about a scale you guys are all happy it actually broke and that's why I haven't been using it I don't know what's wrong with that. I'm gonna try to get some more batteries And kind of toy with it, but it is not working currently that is not why that is why I'm not waiting fish re-evaluating right now make sure schooling out in the middle and We're talking about some little poppers. Look at that thing guys. That's dangerous right there. Yeah, very dangerous I'm gonna tie this bad boy on still gonna throw the chatter bait But I have to get my trailers and I forgot them So that's one thing and then Adam's tying on something over there something secret which we'll have to show you in a minute It's not a four Oh on the oh on the secret rig Let's go So this is a donkey rig, and it's basically just a double fluke rig And it's got two swivels right here, and then you got two flukes And you just pop it like normal flukes, and they just go side to side It's perfect for schools. Just like they're doing out here. He just slammed it. Thank you beautiful for to strain fish beautiful oh My god, there's no way on the popper. There's no way First cast come on get him up.  I mean this in his goal. Look at that. Look at how he ate that in his goal at first cast on the popper He destroyed it like a moose. I don't like it on got another one on the donkey. Oh, oh We had a double Oh Bro Yo, that is crazy. Look at that boys. Let's get over at least over here. They just chunk them out That's right. Here's two solid three and a half Yo Thank you boys It's happening. Hey, you had two on the double fleet. All right Alan Your turn buddy Next cast on the popper. Let's literally next cast look at that. Oh, yeah He's not as big as the last one. This is a decent one though Bro, what the heck solid two? We've already caught like 10 15 Where they're actually eating out there? We probably get slam on that. Oh, yeah. Oh, I got him in the back. Oh, you got him on top Still good one there go other pretty bass third one on the popper I guess I Guess they're out there. Oh baby I'm about to say Alan's gonna end up getting slob. I should get hit out here, too Double up. They love this popper It's almost every cast dude, and they're all big. I mean this one's not big but the other ones ever hit me We're only got them Thank you. I'm a live target popper. So Alan Bob's got his over here No, I just got on one too. This is one of those doubled up Usually most of the ones I've been hitting this thing have been big, but this one's just about two pounds, but still quality fish But for what we're catching I just missed like a five six pounder how to four hit it to cast before it's just It's honestly unbelievable. It's one of those days that you dream about having Beautiful little fish. Oh over there. Oh, I haven't been top of the head Bob's running to the schooling fish There we go. Yeah, two and a quarter. What if I continue to pop it like this the whole time. Oh my Recast and I was popping it the whole time. He ain't big This is small and got a whole bucket of salad with this one. There we go another one. Nice cast Stupid all right next cast maybe three cast in a room. That was insane They love this thing. It's happening every cast. I do not know what Bob's doing, but he needs to be thrown over here Bob you need to be thrown over here, buddy. There we go, baby another two pound or three cast in a row Let's pop in that thing like crazy. That's exactly how I was popping it Dude, that's very big bro. Hey, I mean like this is big big big Um, I think I'm good. Oh, yeah, he's not that big Never mind. He's a four and a half. I Said he wasn't big and he was a four and a half. They could have dude. I went in that corner there's bait popping and I Chucked her out in there. I like a three and a half hit me. I had him and he came get him up boy. Get him up Don't lose them Top water That's a fat bass They can't put this popper down that is one of the day for sure guys. We are whacking them. I only know what to say Like how many three four five? How many have we caught this big do you probably ten fish three to four pounds more than in the last video? Look at that bass. I mean that's That's a football if you know one It's all three and a half pounds Yes, sir was all that Jesus Christ he ate it right when it hit the water Yeah, that's what they're eating. Oh My god, that's how those fish are so big. That's what they're eating. That's three pound fish all day I just don't get it. That's the reason that poppers give me a look at the shark. Yeah. Yeah, I mean look at his belly, dude That is just unbelievable. He's just Can't stop catching it. You want to catch one of that thing? Throw that thing catch one Adam just broke off the popper I let him throw it for one cast and he just hooked like a four or five pounder and it broke him off He came airborne after it. That's our only popper. I'm You got him big Yeah, he's big.  I only know if we can continue this video anymore. I'm serious, man How can you catch that mean big one to one video? Sorry girl, I got


Hi everyone, Joe for Jaspy's casebreaks.com coming at you with the braved Cardinals Nationals Orioles Red Sox raise Astros random number of block Randomizer for immaculate picker team four. That's how it works. If you're not familiar with it big Thanks to this group for getting in on it. There are the numbers right here. Let's roll it randomized names and numbers four and a six ten times one two three four four five six seven eight Nine and tenth and final time after ten we got Carlos down to Carl four and a six ten times for the numbers one two three four five six seven eight nine and Tenth and final time after ten we got six down to five All right, so Carlos with six Pat with eight Paul with one Arthur with nine and three Brock with seven Arthur with two Brett with four Charles zero and Carl with five so remember Charles zero gets you any and all redemptions Including one of one redemptions for that group of teams right there are rare occurrence But we got to mention every time and it's always in the description Paul you'll still get live one-of-ones for the following teams in that tab. Let's sort numerically and Coming up in a separate video will be the break itself to ask these case breaks.com