1 00:00:00,060 --> 00:00:09,210 I'd just like to introduce Rob Willmore. He's the founder and CEO of the city, and we met when he was giving a presentation, 2 00:00:09,210 --> 00:00:14,400 the Praxis all conference early in the year and I invited to come back here and talk to us. 3 00:00:14,400 --> 00:00:23,610 So I have you're as impressed as I was Ralph. 4 00:00:23,610 --> 00:00:31,320 So I know monks said this from Facebook, but I would like to thank Tony and Phil and Helen and the team for running such a wonderful event. 5 00:00:31,320 --> 00:00:37,830 I'm not going to ever under applause. I think the VP of research and do that, and I think he's been a phenomenal event. 6 00:00:37,830 --> 00:00:45,600 I've learnt so much with my colleague Will and it's been great to make new friends and the friends we make last forever. 7 00:00:45,600 --> 00:00:52,290 So it's fantastic. So I'm going to give straight to this. 8 00:00:52,290 --> 00:00:57,690 I've been asked the common question. I've been asked since I came here for the last three days as well. 9 00:00:57,690 --> 00:01:02,490 Why do you do what you do? What's the motivation? Why did you make this company? 10 00:01:02,490 --> 00:01:08,940 And it's very simple. It is very deep within populations, organisations, communities. 11 00:01:08,940 --> 00:01:13,170 There are potentially transformative, transformational ideas that never see the light of day. 12 00:01:13,170 --> 00:01:23,040 And one thing that Professor David Gunn said really resonated with me that innovation isn't evenly distributed. 13 00:01:23,040 --> 00:01:32,180 That really did strike a chord and made me feel that it's great to be here to talk about this today. 14 00:01:32,180 --> 00:01:38,750 And this is why because hierarchies have been established over many, many years. 15 00:01:38,750 --> 00:01:45,050 I'm not going to go into the history of these hierarchies came about, but the larger the organisation, 16 00:01:45,050 --> 00:01:58,220 the deeper the hierarchy and the harder it is to communicate and the harder it is to innovate together, which is why you get these things coming in. 17 00:01:58,220 --> 00:02:02,570 You've all seen these, right? I've said them, but we've all have these are. 18 00:02:02,570 --> 00:02:06,920 We're doing it. We don't have the budget. We've tried that, which is a common one. 19 00:02:06,920 --> 00:02:12,770 So how do we get over that and how to get over this? 20 00:02:12,770 --> 00:02:20,450 So I've done this, too. I'm so busy getting on with the latest piece of research, that piece of work latest sale. 21 00:02:20,450 --> 00:02:24,830 I forget to look around and see what is available. 22 00:02:24,830 --> 00:02:30,440 And that's why this this summer has been amazing, because it does make us all come out of our environment, 23 00:02:30,440 --> 00:02:34,230 get out of our shells, talked with each other and see what's going on. 24 00:02:34,230 --> 00:02:42,470 We'll all take something back. So the way that I decided to address this was through crowdsourcing. 25 00:02:42,470 --> 00:02:51,350 It's called many things I learnt to practise, practise or that you call this co-creation in your sector and I call it the democratisation 26 00:02:51,350 --> 00:02:57,290 of innovation because it does bring everybody together and give them an opportunity. 27 00:02:57,290 --> 00:03:03,230 I'm going to do one bit of an intro to my product. The way it works is it's in the cloud. 28 00:03:03,230 --> 00:03:10,940 It allows anybody to set a challenge on multiple challenges and then they invite an open cohort to come in to address those challenges. 29 00:03:10,940 --> 00:03:17,360 That cohort can be in the same building. It can be in the same country. It's often around the world and distributed. 30 00:03:17,360 --> 00:03:18,980 These people never normally see each other, 31 00:03:18,980 --> 00:03:27,750 so it's a good way of coming together and collectively addressing challenges to bring solutions out of those challenges. 32 00:03:27,750 --> 00:03:33,960 This diagram illustrates it perfectly well for me, this is by Hugh MacLeod from a company called Gaping Void, 33 00:03:33,960 --> 00:03:41,790 and I was looking I did a speech in, I did a TED talk five years ago, I was looking for a picture to illustrate the problem. 34 00:03:41,790 --> 00:03:48,810 You see information and in everybody's head or in everybody's department, I put each piece of research. 35 00:03:48,810 --> 00:03:57,870 There is a wonderful piece of information, but unless you connect those dots and you connect those nodes, you don't get knowledge. 36 00:03:57,870 --> 00:04:03,570 If you connect the nodes and the dots, you get usable and applicable knowledge. 37 00:04:03,570 --> 00:04:11,280 And this is what I set out to do with crowdsourcing. So what I'm going to do now is stop boring you with talking about theory, 38 00:04:11,280 --> 00:04:18,210 and I'm going to walk you through a few things that we've done over the last two years micro-level and a massive country, 39 00:04:18,210 --> 00:04:20,670 city level and the world wide level. 40 00:04:20,670 --> 00:04:31,230 And one of the first things that we really got into was creating innovation competitions for the World Wildlife Fund and the World Wildlife Fund. 41 00:04:31,230 --> 00:04:35,190 Traditionally, big applications for grants to go and do big, hairy, 42 00:04:35,190 --> 00:04:41,310 audacious projects like working in the Amazon rainforest or looking after elephants or saving the polar bears. 43 00:04:41,310 --> 00:04:50,070 But they had a hunch that there were lots of organisations out there in the broader ecosystem that had wonderful ideas, 44 00:04:50,070 --> 00:04:55,350 but probably didn't have the financial impetus to actually fulfil those ideas and take them to fruition. 45 00:04:55,350 --> 00:05:01,830 So wonderful green tech and clean tech research and technology that given a boost given some money, 46 00:05:01,830 --> 00:05:09,900 could be utilised in the pipeline to solve the problems of the World Wildlife Worldwide Fund for Nature, which I've called or addressing. 47 00:05:09,900 --> 00:05:14,100 So we set up something called the Innovation Challenge, and this is a snapshot of my product. 48 00:05:14,100 --> 00:05:21,540 But basically the way it works is the World Wildlife Fund say if you can get through each of these criteria, 49 00:05:21,540 --> 00:05:26,880 we will put you into a final award and we'll give you two hundred fifty thousand dollars to go and we'll give it to you. 50 00:05:26,880 --> 00:05:38,010 Not only do to not invest in you, give it for you to go away and deliver your programme over the last three to four years. 51 00:05:38,010 --> 00:05:44,380 Sorry, they've now given away five million dollars. 52 00:05:44,380 --> 00:05:50,260 The impetus of that five million dollars because it's distributed into these green tech and clean tech companies 53 00:05:50,260 --> 00:05:55,480 has a broader impact than some of the bigger money they give in bigger tranches to more focussed projects. 54 00:05:55,480 --> 00:05:58,990 So it's a way of bringing together research with the money to deliver it. 55 00:05:58,990 --> 00:06:08,220 And that research is done and all that reach that is appraised by this peer review stage going to process, and it works. 56 00:06:08,220 --> 00:06:16,860 So we thought, well, if we can do it with the World Wide Fund for Nature, how about could we lift the economy and transform a city? 57 00:06:16,860 --> 00:06:22,110 And we were approached by the city of Montreal. 58 00:06:22,110 --> 00:06:30,060 They had an inkling that their economy should be left by engaging, tapping into a broader community of business and citizens. 59 00:06:30,060 --> 00:06:40,170 But I'm going to let the video do the talking. 60 00:06:40,170 --> 00:06:46,920 It all started in 2012 when Jock Minor, president of BMO Financial Group, distressed by Montreal's gloomy future, 61 00:06:46,920 --> 00:06:51,270 commissioned a report on seven international cities that had been reinvented. 62 00:06:51,270 --> 00:06:55,410 His goal was to demonstrate that Montreal is also capable of a turnaround. 63 00:06:55,410 --> 00:07:00,450 That is how I see Montreal, a large movement to give Montreal new prosperity was born. 64 00:07:00,450 --> 00:07:07,500 It began by mobilising citizens and encouraging them to submit to self led projects that could benefit the Greater Montreal area. 65 00:07:07,500 --> 00:07:14,910 The high point a large rally in fall 2014, bringing together project leaders committed to making their projects a reality as the 66 00:07:14,910 --> 00:07:19,770 project entailed creating a new citizen movement success would hinge on notoriety. 67 00:07:19,770 --> 00:07:26,340 The campaign was first launched on the website by a blog Influential Montrealers submitted posts for publication. 68 00:07:26,340 --> 00:07:32,400 The icy Montreal web site was launched soon after giving Montrealers a platform where they can submit projects, 69 00:07:32,400 --> 00:07:35,610 vote for their favourites and even make comments. 70 00:07:35,610 --> 00:07:46,170 The site received more than 130000 visits, 7000 users created profiles and 17000 votes and comments were registered in just six months. 71 00:07:46,170 --> 00:07:52,410 Twenty three thousand Facebook fans and 3000 Twitter subscribers join the conversation on social media, 72 00:07:52,410 --> 00:07:57,000 but video capsules were also produced to promote projects and their leaders. 73 00:07:57,000 --> 00:08:01,770 These were shared on social media and appeared in the pre-roll on the leftist group's website. 74 00:08:01,770 --> 00:08:06,270 Print advertising was placed in major Montreal dailies and across the West Ham network. 75 00:08:06,270 --> 00:08:13,620 There were also radio ads broadcast on an LG ninety eight point five and Virgin Radio on November 17, 2014. 76 00:08:13,620 --> 00:08:21,630 Numerous initiatives were deployed to make the day a success, including a social media brigade of 15 people and a live web broadcast of the event. 77 00:08:21,630 --> 00:08:26,850 On that Monday, the Zhihua mobile hashtag topped the list of trending topics on Twitter. 78 00:08:26,850 --> 00:08:36,300 In Canada, 1500 people from a variety of Neilia political, cultural, entrepreneurial participated in the event. 79 00:08:36,300 --> 00:08:41,220 The event generated more than 200 mentions in media, but more importantly, 80 00:08:41,220 --> 00:08:47,880 See Montreal received more than 300 project submissions, of which 180 were selected for formal engagement. 81 00:08:47,880 --> 00:08:59,310 The implemented strategy created a broad movement that potentially reached 80 percent of Montreal's adult population. 82 00:08:59,310 --> 00:09:03,810 So with this, we got the feedback from the economics team in Montreal. 83 00:09:03,810 --> 00:09:09,210 They estimated that they could be 80 percent, which is phenomenal. 84 00:09:09,210 --> 00:09:16,980 So simply going out and doing this crowdsource open innovation programme, as they said with government citizens universities, 85 00:09:16,980 --> 00:09:20,910 they engaged a groundswell of the population and they delivered for their city. 86 00:09:20,910 --> 00:09:28,040 It would not have been done any other way if they hadn't designed teams. Open innovation and co-creation. 87 00:09:28,040 --> 00:09:32,690 So we thought, well, if we can do it for Citi, can we do it for the world? 88 00:09:32,690 --> 00:09:42,200 So we were approached by the United Nations to help them to co-create an open, innovate their own projects. 89 00:09:42,200 --> 00:09:48,650 We do it now. It's still running. There's one money now. I'm in Busan in September, doing the outputs right? 90 00:09:48,650 --> 00:10:00,380 And what it really is, it's it's very simple. The youth of the world are invited to come into a platform and to address the issues of the world. 91 00:10:00,380 --> 00:10:04,160 The are related to the Sustainable Development Goals of the UN, 92 00:10:04,160 --> 00:10:15,260 which many of us know to come in and apply ICT projects that might turn into enterprises to deliver against so sustainable goals. 93 00:10:15,260 --> 00:10:21,470 Again, the UN is used to putting big money projects into into big, idealistic projects, 94 00:10:21,470 --> 00:10:26,120 but they had an inkling they should try and go with with a groundswell they the world. 95 00:10:26,120 --> 00:10:31,700 Every year, a number of engaged parties come together. 96 00:10:31,700 --> 00:10:36,770 They go through this innovation competition and they're given money to deliver these projects. 97 00:10:36,770 --> 00:10:45,140 So this is young people being able to start sustainable businesses all around the world and the coming together using my platform. 98 00:10:45,140 --> 00:10:52,550 Often they never meet. I'll never come to the UN and they are driving value in their own regions. 99 00:10:52,550 --> 00:10:56,650 Again, one of the things I've learnt from this conference is place. 100 00:10:56,650 --> 00:11:05,110 And the thing about places, if you can do something and apply research or applying entrepreneurial spirit or deliver value in place, 101 00:11:05,110 --> 00:11:14,290 you're actually helping your own community, which is the start of helping the broader world community. 102 00:11:14,290 --> 00:11:21,150 And then we thought, well, if we can help the youth of the world, maybe we can help the mayor of Rio, so take the Olympics. 103 00:11:21,150 --> 00:11:24,570 And I got a call from the mayor of Rio. We didn't really think it was him. 104 00:11:24,570 --> 00:11:29,430 We thought it was a blanket and thought it was a joke. So we didn't speak to the guy. 105 00:11:29,430 --> 00:11:37,560 You rang back again to the public through to me. It was the mayor of Rio, Eduardo Pérez at the time, and he said, We saw you speak at the UN. 106 00:11:37,560 --> 00:11:42,870 We had a major riots at the World Cup when we had the World Cup because our population felt 107 00:11:42,870 --> 00:11:47,070 disconnected and disenfranchised because they couldn't afford to go to see the matches. 108 00:11:47,070 --> 00:11:50,340 They had physical rights. And they said, We don't want those again. 109 00:11:50,340 --> 00:11:59,280 How can we engage the population of Rio de Janeiro in order to find out what they really want from the Olympic legacy? 110 00:11:59,280 --> 00:12:07,080 So that's what we did. Our platform was put life and the population of Rio de Janeiro's engaged, knowing that some people wouldn't be connected. 111 00:12:07,080 --> 00:12:12,600 The instant they took iPods out, as well to literal town halls, they went to the favelas. 112 00:12:12,600 --> 00:12:16,260 They showed the ideas that had gone off the platform to the population as well. 113 00:12:16,260 --> 00:12:21,120 The feedback was put into the platform and ultimately something pretty magical happened. 114 00:12:21,120 --> 00:12:26,820 It turned out that's about 18 of the projects that recommended the Rio. 115 00:12:26,820 --> 00:12:32,880 We're going to do the many B anyway, but someone in government the forgotten to communicate it to the population. 116 00:12:32,880 --> 00:12:40,510 We were talking about communication earlier. But equally, four or five other projects were major transformational projects, 117 00:12:40,510 --> 00:12:47,730 infrastructure, roads, lighting playgrounds, safe places to walk in the city. 118 00:12:47,730 --> 00:12:53,070 So they focussed much of the money on infrastructure rather than sustaining the stadium 119 00:12:53,070 --> 00:12:56,790 on the velodrome because the people didn't really want the stadium a velodrome. 120 00:12:56,790 --> 00:13:02,640 They wanted the legacy to have a full long term impact in their communities. 121 00:13:02,640 --> 00:13:06,270 So by engaging the community, that's what happened. They got their legacy. 122 00:13:06,270 --> 00:13:12,600 They wanted. I won't go through all that. 123 00:13:12,600 --> 00:13:22,740 So let's move into something that's probably closer to your heart, which is a way to use it to engage research with industry. 124 00:13:22,740 --> 00:13:27,390 And we've done this a number of times that in fact we do it constantly. 125 00:13:27,390 --> 00:13:33,380 But the first one we did was with École Polytechnique Federale delusion. 126 00:13:33,380 --> 00:13:40,650 I can't believe I got the name. How can we engage with industry to create value from knowledge exchange? 127 00:13:40,650 --> 00:13:58,010 And again, rather than me? Go on about it, I'm going to play a video. Oh. 128 00:13:58,010 --> 00:14:04,400 As a researcher on an academic institution, we have a big hurdle convincing people to share ideas. 129 00:14:04,400 --> 00:14:07,490 So I think it's important to talk about a win win because obviously we're not 130 00:14:07,490 --> 00:14:11,570 we're not selling our services where we're in academic and research institution. 131 00:14:11,570 --> 00:14:14,300 So it's really about creating contact with industry. 132 00:14:14,300 --> 00:14:19,830 We've understood now that the challenges we face as an industry are too great for any single country. 133 00:14:19,830 --> 00:14:25,200 For the. And so we've decided that we should open up our innovation and work collaboratively. 134 00:14:25,200 --> 00:14:29,180 And you know, we looked at a lot of platforms before finally moving to Cardiff credibility. 135 00:14:29,180 --> 00:14:35,450 And the big thing for me is the simplicity at the front end of power of the back end, which was really nice. 136 00:14:35,450 --> 00:14:41,450 And Facebooks was the contact we had with the companies and the relation during all the process. 137 00:14:41,450 --> 00:14:49,520 One thing is very good is in Cardiff City's to the fact that just several stages where you can put Trinity in after that to an idea selected, 138 00:14:49,520 --> 00:14:55,250 you can then improve and narrow your choice by giving staff from one to five so that you can really 139 00:14:55,250 --> 00:15:00,770 make a fair decision between you and your ideas in death or serious competition between those two. 140 00:15:00,770 --> 00:15:02,210 So you always want to improve. 141 00:15:02,210 --> 00:15:09,810 You always want to answer the comments from people, you know, for the others to really understand what you mean in the end and get votes. 142 00:15:09,810 --> 00:15:15,350 And that's really challenging. I think traditionally the process has been you patent and you publish. 143 00:15:15,350 --> 00:15:22,550 And what we're trying to do is to say to people, OK, we're not trying to to sell our intellectual capital because we need to protect that. 144 00:15:22,550 --> 00:15:28,430 But what we're trying to do is to get people upstream, really to try and get more ideas on the table. 145 00:15:28,430 --> 00:15:33,980 I'm thinking across disciplines, which is really important funding ideas that might have an application in a 146 00:15:33,980 --> 00:15:37,670 completely different area and really getting the community working together. 147 00:15:37,670 --> 00:15:41,720 I personally am convinced that this is a big part of our future, 148 00:15:41,720 --> 00:15:49,820 that to solve the complex problems we face nowadays, the the news is very different than thinking. 149 00:15:49,820 --> 00:15:54,890 People working together also may be coming from different regions worldwide. 150 00:15:54,890 --> 00:16:00,050 We will never have all that brain power in company. So yes, I think we should use this more often. 151 00:16:00,050 --> 00:16:08,420 You certainly don't get what you expect, so you get different approaches frequently, potentially new solutions to old problems. 152 00:16:08,420 --> 00:16:19,250 And this platform really gives us a way to bring people out of their specialities thinking about the bigger picture and working together across this. 153 00:16:19,250 --> 00:16:22,220 So that was our first foray into essentially an orgy of change, 154 00:16:22,220 --> 00:16:29,230 and it didn't lock those seven serendipitous creative collisions people who might not normally work together at, 155 00:16:29,230 --> 00:16:35,710 as we were saying earlier in the conference, arts and sciences, bringing them together to create solutions. 156 00:16:35,710 --> 00:16:41,870 And so we got bold and we decided to see if we could work with an entire university. 157 00:16:41,870 --> 00:16:50,780 And we worked with a lot of universities in Asia-Pacific and one of them, Swinburne University of Technology in Melbourne. 158 00:16:50,780 --> 00:16:56,900 We talked to them for about a year, and they decided they want to embed it across the whole of their campus and that 159 00:16:56,900 --> 00:17:03,550 whole of their student to research lifecycle from undergraduate to postgraduate. 160 00:17:03,550 --> 00:17:20,240 And again, rather we go on about it. There is a really great video that goes into the detail of that. 161 00:17:20,240 --> 00:17:28,730 Swinburne Research and Innovation Strategy has placed innovation at the core of what we do through translational research, 162 00:17:28,730 --> 00:17:33,950 through co-creation, but in particular through our Swinburne Innovation Precinct. 163 00:17:33,950 --> 00:17:43,460 The Innovation Precinct has a number of objectives, but the underpinning objective is really to create an innovation campus and innovation university. 164 00:17:43,460 --> 00:17:51,530 So what we are looking at is just bringing together the whole organisation to do innovative things and try new ideas. 165 00:17:51,530 --> 00:17:58,730 But in the early days we struggling with how can we connect with this, with this very diverse community in a university? 166 00:17:58,730 --> 00:18:01,220 How can we get a lot more people involved? 167 00:18:01,220 --> 00:18:10,410 So some kind of virtual platform that's built around new ideas around innovation was what we were looking for and we came across a crowded city. 168 00:18:10,410 --> 00:18:18,410 So we've used disappeared as a virtual environment to connect people with ideas to generate the dialogue across the campus, 169 00:18:18,410 --> 00:18:24,560 across students and staff, across researchers, around ideas and around co-creation. 170 00:18:24,560 --> 00:18:30,680 What we are now doing is trying to make the most of those ideas and realise commercial potential. 171 00:18:30,680 --> 00:18:33,080 Last year, as the as the first step, 172 00:18:33,080 --> 00:18:41,790 we tried the ideas jam and we were just tremendously excited by how successful that was and how many people got engaged. 173 00:18:41,790 --> 00:18:49,440 But the thing that I was very reassured by, I put my idea up there and then the next day, someone that someone liked it. 174 00:18:49,440 --> 00:18:54,540 And all of a sudden I had a couple of followers, people making a few comments, a bit of encouragement. 175 00:18:54,540 --> 00:18:55,680 I just thought that was terrific. 176 00:18:55,680 --> 00:19:04,590 Being in a sort of research bubble and especially in psychology, we often bounce around ideas between ourselves and some of them come to fruition, 177 00:19:04,590 --> 00:19:10,110 and some of them don't with the ideas because it was a platform in which loads 178 00:19:10,110 --> 00:19:14,850 of different people from all different areas were able to participate in, 179 00:19:14,850 --> 00:19:17,790 I got feedback that I haven't really considered before. 180 00:19:17,790 --> 00:19:24,330 So sometimes as a psychologist, when you're asking other people, we're so close to it, we don't see the outside perspective. 181 00:19:24,330 --> 00:19:33,280 It was fun as well. It broadened my networks within Swinburne because I got to meet people that I wouldn't have ordinarily crossed paths with. 182 00:19:33,280 --> 00:19:41,080 I didn't know what to expect, so just logging on, it seemed really fresh and visual, it was easy to use. 183 00:19:41,080 --> 00:19:46,450 Being able to monitor the votes and the engagement, it was something that you you really, I guess, 184 00:19:46,450 --> 00:19:53,230 responded to us quite excited about, about being able to share that idea with the responses that I got. 185 00:19:53,230 --> 00:19:57,010 It's been very really puts a lot of emphasis upon innovation. 186 00:19:57,010 --> 00:20:04,570 So it's very important for us to have one person get it, which was all about thinking outside of the square about innovation. 187 00:20:04,570 --> 00:20:08,650 So we created a new first unit called Innovative Business Practise. 188 00:20:08,650 --> 00:20:14,170 So we looked at that crowd to see and we thought that could work. And the rest is history, basically. 189 00:20:14,170 --> 00:20:21,670 Once we introduced into the first unit, it was a new medium. It was a new way of exploring skills around innovation, and it went really, 190 00:20:21,670 --> 00:20:26,980 really well and provides a great foundation for the Typekit unit for faculty of business and law. 191 00:20:26,980 --> 00:20:33,130 We're using proceeds. It's the first time has been used in a higher education curriculum context. 192 00:20:33,130 --> 00:20:36,010 We had to look at the subject design. We had to look at assessments. 193 00:20:36,010 --> 00:20:40,960 We had to look at how would we integrate Christie into the subject and make it work. 194 00:20:40,960 --> 00:20:44,110 So the students have reacted in a really positive light. 195 00:20:44,110 --> 00:20:49,240 It's a real interest, and the feedback coming in this semester is really enjoying the interactivity. 196 00:20:49,240 --> 00:20:55,330 The idea behind the subject we're doing is almost like an incubator for social entrepreneurship. 197 00:20:55,330 --> 00:21:00,050 In our Week 12, we had an industry networking event, so I'm going to show you where we come in. 198 00:21:00,050 --> 00:21:01,300 We're running to try to. 199 00:21:01,300 --> 00:21:09,910 Essentially, that was invented completely within curriculum, create completely, research completely and engagement with industry. 200 00:21:09,910 --> 00:21:16,720 So the whole lifecycle of a student coming in to a student applying that knowledge and even to experience was amazing. 201 00:21:16,720 --> 00:21:23,200 At the end of that video, it talks about how in the curriculum people have put forward ideas and industry has come 202 00:21:23,200 --> 00:21:30,340 in and they then been employed by industry because of the ideas they put in the platform. 203 00:21:30,340 --> 00:21:40,330 And again, moving on to this one. So the IKEA programme, so I work on IKEA on a mental IKEA cohorts, 204 00:21:40,330 --> 00:21:49,630 but we were approached by Queen's University Belfast and the North by Northwest Consortium with Innovate UK in order to create a 205 00:21:49,630 --> 00:21:57,520 platform that would allow teams to convene and come together to create ideas that would then be put forward to the IKEA programme. 206 00:21:57,520 --> 00:22:05,560 And then with the IKEA programme, people come in and evaluate those ideas and then they would go forward to the normal IKEA programme. 207 00:22:05,560 --> 00:22:09,010 So essentially, it's about convening, bringing people together to build teams, 208 00:22:09,010 --> 00:22:18,600 bring ideas to coalesce them and put them through to the ideation programme to then put them into the full IKEA programme. 209 00:22:18,600 --> 00:22:25,770 And we've been running that now for two years, and we're in many universities and it's getting great actors. 210 00:22:25,770 --> 00:22:36,810 So moving on then to the last thing I to talk about, which is the research and innovation organisation, which Ukraine my pose here. 211 00:22:36,810 --> 00:22:45,300 And we're using chronicity of these and kind of see with us to address the Big Challenges Research Fund. 212 00:22:45,300 --> 00:22:55,470 We've been working with them to again use chronicity to engage researchers in the UK and developing countries, 213 00:22:55,470 --> 00:23:03,180 predominantly Africa, to bring together researchers to create sustainable delivery from that research, 214 00:23:03,180 --> 00:23:11,700 into driving enterprise into driving, helping with the issues of sustainable power, food, health, 215 00:23:11,700 --> 00:23:18,150 poverty and Ukraine arise, funnelling that money because of their hunch into that into those projects. 216 00:23:18,150 --> 00:23:24,660 And it's working now. We've got the video, but I'm not going to play it because you all know what the UK Research Council does. 217 00:23:24,660 --> 00:23:30,300 So I'm going to skip over that. So I'm going to move straight to my final slide. 218 00:23:30,300 --> 00:23:35,580 So I've talked about all of these opportunities for co-creation and innovation. 219 00:23:35,580 --> 00:23:43,690 I've talked about it in cities and communities. I've talked about driving sustainability in World Wildlife Fund and engaging enterprise. 220 00:23:43,690 --> 00:23:47,290 I've talked about it in a world economic methodology. 221 00:23:47,290 --> 00:23:54,780 The UN and I've talked about it in driving effective research in connexion with enterprise and sustainable outputs. 222 00:23:54,780 --> 00:24:00,790 So I'm going to come back to my final slide. The reason we put crowd together was to connect all of this useful information, 223 00:24:00,790 --> 00:24:09,060 connect people like you as well with each other in order to drive this sustainable delivery and make knowledge work. 224 00:24:09,060 --> 00:24:19,830 So thank you. I went over a bit the final Typekit question. 225 00:24:19,830 --> 00:24:25,860 Oh, great. Superb. I think we're going to have questions for Tony. 226 00:24:25,860 --> 00:24:31,050 You can go first, I think quick. Yes. Someone else has a question, dear. So tremendous presentation. 227 00:24:31,050 --> 00:24:34,770 Thank you so much. My pleasure. Questions about these things. 228 00:24:34,770 --> 00:24:35,730 Because, you know, to me, 229 00:24:35,730 --> 00:24:45,090 one of the big challenges with efforts like yours that offer services is how do you communicate to the people to provide the inputs? 230 00:24:45,090 --> 00:24:50,460 So, you know, you talk about the penetration on getting responses. There's so much information. 231 00:24:50,460 --> 00:24:55,080 There's so much noise out there. How are you able to to coalesce and get those respond? 232 00:24:55,080 --> 00:24:59,790 You know, people to do something disruptive, which is respond. And that's entirely right. 233 00:24:59,790 --> 00:25:05,850 It's all about getting people in there to make it happen because you can have the best ideation platform, but you've got to bring people together. 234 00:25:05,850 --> 00:25:09,420 So the last seven years, that was our initial challenge. 235 00:25:09,420 --> 00:25:17,940 It was how do we bring people together via traditional engagement of telling people and letting them know in organisations 236 00:25:17,940 --> 00:25:24,870 through to putting out social media calls into the cone of the social media networks and also by word of mouth? 237 00:25:24,870 --> 00:25:30,180 So each of the projects we've been doing, it starts at the top. 238 00:25:30,180 --> 00:25:37,710 So you have to get the people who are able to make decisions about how they might 239 00:25:37,710 --> 00:25:43,680 apply money or how they apply resources to show that engagement is worthwhile. 240 00:25:43,680 --> 00:25:52,890 So, for instance, I don't think we will ever go any of the citizens of Rio to come into our platform unless the mayor had said, It's my policy. 241 00:25:52,890 --> 00:25:55,980 I want to talk to you all. Nobody had done that before. 242 00:25:55,980 --> 00:26:04,260 So it has to come from the highest possible level in order to essentially, we talked about hierarchies earlier to actually give permission to engage. 243 00:26:04,260 --> 00:26:11,650 And that's a weird psychological thing, but that's how we do it. And that and then the mechanism for making it happen are the standard emails. 244 00:26:11,650 --> 00:26:17,880 The standard talks, a standard putting up social. But equally, it's the feedback loop. 245 00:26:17,880 --> 00:26:22,710 So I'll cut to the end of this story. The fact is, you can get enough people into a platform, 246 00:26:22,710 --> 00:26:28,230 but unless you give a feedback loop about what's actually happening with the ideas and the collaborations, 247 00:26:28,230 --> 00:26:38,400 and unless you get outputs, they're not sustainable. As platforms, you've got to get wins and a win can simply be, we're not going to do that. 248 00:26:38,400 --> 00:26:41,910 But in Nigeria, over there is very similar. So we're going to do that. 249 00:26:41,910 --> 00:26:44,250 Why don't you collaborate with that person? 250 00:26:44,250 --> 00:26:51,840 So even if they don't say when there is a winning mentality in life, we point them together to work and can be. 251 00:26:51,840 --> 00:27:07,730 So it's starting at the top in terms of permission to do. And then it's a feedback loop in order to show value and appreciation for their input. 252 00:27:07,730 --> 00:27:13,910 How do you work with incentives in order to get the value built time of people participating? 253 00:27:13,910 --> 00:27:22,760 So yeah, so I was at a conference in New York about law and what they were doing in law firms now. 254 00:27:22,760 --> 00:27:23,930 And so use my platform. 255 00:27:23,930 --> 00:27:33,080 Some use others as they are giving a portion of billable time so that that bill, they said, Well, you've done that, let's call that accrued. 256 00:27:33,080 --> 00:27:39,160 Take that time and go and innovate. So again, coming back to commission, that's quite right. 257 00:27:39,160 --> 00:27:44,570 It's about the incentive to actually do something while you're doing your day job. 258 00:27:44,570 --> 00:27:52,370 Certainly in working research, development and working universities, you academics, teaching and research time, etc., etc. So just like a lawyer, 259 00:27:52,370 --> 00:27:56,240 if you give permission to somebody, say within academia to say, write a lot that time, 260 00:27:56,240 --> 00:28:00,050 I know you're doing it, that this is a valuable and everything else. 261 00:28:00,050 --> 00:28:06,410 Equally, on the other side of that, we have incentivization that can be as simple with Proctor and Gamble. 262 00:28:06,410 --> 00:28:11,180 They use it for product development marketing programmes. They will give away vouchers for those products. 263 00:28:11,180 --> 00:28:16,700 And it's amazing how many people will come in and contribute for a voucher with the UN. 264 00:28:16,700 --> 00:28:22,400 And they incentivise a number of organisations by giving iPads to those schools and 265 00:28:22,400 --> 00:28:26,990 institutions to drive engagement because if you give them something to do it on, 266 00:28:26,990 --> 00:28:33,710 they're going to do it. So incentivization is incredibly important. Be it buying our time and allowing it and give them permission, 267 00:28:33,710 --> 00:28:40,340 giving away an incentive that's tangible or giving away something that enables people to get into open innovation. 268 00:28:40,340 --> 00:28:46,410 Those are the ways I've seen it done. So one last question to this one. 269 00:28:46,410 --> 00:28:52,390 So it's really interesting, it talk, thank you. I mean, how did you get from the inputs to the outputs? 270 00:28:52,390 --> 00:28:55,230 You're just someone have to sit there and trawl through 100000. 271 00:28:55,230 --> 00:29:04,540 I put 100000 inputs and make something of it or that does your platform actually provide any means for at least sifting some of that? 272 00:29:04,540 --> 00:29:10,500 Yes, artificial intelligence or whatever. So, so yeah, they we have algorithms in the background that do that. 273 00:29:10,500 --> 00:29:16,110 But equally, we have an innovation process set up in order to funnel the process. 274 00:29:16,110 --> 00:29:25,920 So we are machine learning artificial intelligence, allowing some assessment, but then they go to the stage goes to do essentially self qualify. 275 00:29:25,920 --> 00:29:36,810 And at the end of it, you have a a a level of ideas that are seen by the system and by the peer group to be the ones that might be the most useful. 276 00:29:36,810 --> 00:29:41,610 So you don't have to go through a hundred thousand ideas, though some of our customers choose to do that. 277 00:29:41,610 --> 00:29:47,580 Some of our big retail customers around the world will take all the data from the system through our API, 278 00:29:47,580 --> 00:29:51,450 stick it into their business intelligence machine and crunch it like crazy. 279 00:29:51,450 --> 00:29:59,610 So this system can do it with the assistance of people, and you can export the data into standard systems doing its work. 280 00:29:59,610 --> 00:30:04,267 OK, thank you. Thank you.