 Kia ora, whata. I'm a little bit old school as well and tend to wander around a bit too so I'll have my notes there. Yeah, what I want to do today is just to introduce you to the idea of a data commons and I was trying to think of the last couple of days how to share that story because it's quite a complicated piece of work. So I thought what I'd do is just share with you really the motivation behind why we're trying to solve this big data problem. The other day, Yosef asked Lou Sanson a question, he said how can a bunch of tech entrepreneurs and social entrepreneurs help predator-free New Zealand? What kind of things could we offer? I've got one answer to that which I hope to share with you today. Predator-free New Zealand is a data problem, right? It's not just a technology sort of a bait station problem. It's how you actually mobilize 4.7 million people across the country. How you coordinate them, how you orientate them, how that system learns, how the scientists can learn what's working, how the communities can collaborate and how they can share data amongst themselves. And so for the last year I've been talking to a lot of scientists and Next Foundation and others who have shared data challenges. I've all been coming to me saying how I've got a data problem and they've read this blueprint. So for example I've been talking with Devin who you saw the other day from the Next Foundation and they want to do these little chew cards, right? You know what a chew card is? It's just a little credit card size thing which you sort of go and staple it on a tree or put it on a tree or under your basement and that. It's got a little bit of bait on it right there because you see the car's been chewed, right? Chew card. It's really sophisticated technology but it's part of their strategy because when you drop 1080 or have bait stations around the place or you've got an island which is already predator free you've got this 1% problem. You want to get rid of that last rat called a million-dollar rat because it takes a million dollars to find it. And the problem is how do you onboard that data in a way which allows an individual say student 12-year-old go and manage a chew card and do some citizen science by putting that around their local school or wherever they're doing their predator free work and onboard high quality data and then scale that across the country notwithstanding the fact that there's about 23 different chew card manufacturers they've all got innovative ways of what sort of bait is used and all that kind of thing. So there's a real scale problem with that kind of data and then of course I've been chatting with Devon and Andrea Byron who's the director of the Biohedron Science Challenge she'd like to put all of that data she's got another use for it that's the operational use in mobilising my community and where's my chew cards and can I go and test them and check them and where's my data can I see where they're all set so I can remind myself to go back so Andrea's got this audacious idea she wants to have a weather forecast on the TV she wants to know all of the chew card data from across the country we've got 30 million chew cards out there telling us where the rats are we want to know what's going on that's a big data problem that's a scale problem and a quality of data and metadata standards and how can you coordinate amongst those communities so there's some technology kind of things to solve in that there's another problem with data well sorry another opportunity data's curious it's a non-rival risk resource you don't use it up in fact when you add two bits of data together you get more power so 1 plus 1 equals 3 so some of the other conversations I'm having with Andrea Byron from the Biohedron Science Challenge is she's saying well that chew cards data is great that tells us there's no rats in this area and there's lots of rats over here that link that data to the water quality data and actually she's got data around EDNA have you heard of EDNA what they're doing is they're taking samples of water and samples of soil and what they do is a little sort of barcode a spectrograph of the genomic content of that soil because you get 30,000 different microorganisms in a drop of water right and in a drop of soil and it tells you how biodiverse the soil is so there's an outcome so if you've got rid of the predators the soil better and you get better EDNA profile and then talking with people from race to the top they've got a data problem they're working with the farmers to what do you call it make fences along the riparian margins to keep the cows out of the water but they want to measure the outcome of that so some of the farmers are really keen to do that but then they want to know the water quality data so they want to be able to share the data we want to be able to see if you call it an ecosystem right an ecosystem, scientists want to analyse how these things relate to each other so there's really a value I call them economies of scope right economies of scale, economy of scope is when you add two things to get something different so you know how tall I am but if someone else knows how much away that's okay but if you know how tall I am and how much away you know that I need to do some exercise that's an economy of scope data is like that and so what we want to be able to do is join up the disparate sources of data, integrate data and then reuse it Andrea wants to use it for science whereas this person on the front like this 12 year old wants to just do their tube card and then they want to see the results so we need to be able to share and reuse and integrate data is a problem though our current models don't really let us do that very well and my background actually is in social development and I spent 10 years in child protection and I've been working on trying to disrupt that system because it's not working but one of the problems I had was data sharing we need to understand what's going on but big government's quite coercive and nobody trusts them to have the data so I've been chatting with I had a meeting with Ann's jury from Women's Refuge and she was saying I don't want to give my data to that MSD just because they're going to give me a contract but I do need them to be able to evaluate the service so they give me more money so how do I form a trust relationship when I share data and not just sort of open the floodgates and then lose all control of it it's the same for artists Ann and I have been chatting about this for artists you publish something on the internet and then it's gone right so you want to retain some providence and some special relationship with your data scientists, the scientists I've been measuring how many wetters per square metre and I'd love to know the EDNA kind of in this area and the number of rats in this area but I want to publish first so I don't want to share my wetter data until I know that no one's going to rip it off and abuse it so Predator Free New Zealand's a really big data problem and I don't think we'll succeed unless we can do radical sharing of data in a semi-open way where we can maintain the providence of the data who collected it, who's adding value here yeah I collected some wetter data and someone else was publishing something on it but I want some credibility for that where it's come from I want to be able to scale it massively there's really hard integrating data when everyone's got a different data standard and then I want to develop social licence protocols what are the social licence protocols which allow me to share my data with trust and allow me to retain control and I'm getting all these people coming to be saying can you solve this problem James and a lot from the social sector and we're talking with Plunkett and Midwives, I want to do a collective impact initiative on the first thousand days they want to share data with each other and then talking matters, want to share data with them because they're still interested in that first thousand days but then the scientists might want to study it or the government might want to evaluate it to invest in it but those people are afraid that SIFS might grab the data and knock on the door so how do we manage the social licence protocols so we want free flowing data but with high providence and high trust how do you do that one way, the way that's currently being done is to well, you can either hold on to it, not share it's one solution or you can chuck it on the internet and it's open slather but people are moving towards a semi-open data and some of the solutions that are emerging at the moment are these kind of walled gardens like Apple Health Kit or MECO or these personal digital vaults or in the regional councils use LAWA right, that's the local regional council data on environment and weeds and things and then you've got Horizon who's got another data repository on this other stuff but the problem with these proprietary models where people are making a data play really because they own the data and then they can get users and then they can make a business model out of that is of course that fragments the data so if Samsung owns my blood sugar and Apple owns my heart rate and my GP owns my medical record because the Ministry of Health wants to keep that monopoly then you end up with these nice walled gardens but you don't end up with the ability to integrate and do personalised health and it's the same with the scientists and the people cooperating on the predator free so that model kind of breaks down it doesn't scale well either so we came up with this other solution the reason we came up with this was I was appointed to this working group who was the public sector people academics and community people got together and from the New Zealand Data Futures Forum we had a series of public dialogues and there I started to think for the first time about a data sharing ecosystem and I don't mean the bugs I mean a data ecosystem what kind of system dynamics for data would work to make data free-flying but high trust and so the first thing I said to them was we need to set some principles in place what would success look like and they adopted the principles and the government signed up to those principles I hope the new government does too those principles where data needs to be in the control of the participants of whose data it is all right second one is it needs to be inclusive we need to not exclude people from data and by that I also mean exclude people from the value of their own data largely the data plays at the moment so Google grabs your data they extract the value of it for their shareholders and on-sell it they've got a lovely integrated view of you with your personality profile and everything you know so it should be for the value of the people whose data it is and it should be in their control and it should be high trust and the final one was trust, control, inclusion and value, yeah, I've got them we did that in 2013 2012 and 13 in 2014 I was asked to write a paper on how big data might be able to change the way the social sector works and I just kept thinking about this problem and I wrote a paper called Handing Back the Social Commons where I started to think about data we need to flip the ownership model around with data we don't want to be trading in data because that sends the wrong system dynamics and if you're going to be inclusive high trust and in control and high value to people you need to somehow hand back control and I started to think about this idea of a data commons and I kind of just wrote this up and I just leave that to one side but then people like Monahance and the Bio Heritage Science Challenge people came along and the next foundation came along and said no, no, no, we want to take this a step further Matthew introduced me to Robert O'Brien who's my sort of acting technical architect I don't know some of you know Robert who's busy working on the technical architects for the moment but actually Joshua introduced me to Billy who I recruited to manage a process where we got a bunch of cryptographers blockchain people social sector providers like Children's Matter scientists from the predator free New Zealand and we spent some time over 2016 developing this blueprint and I'm not going to tell you what the answer is I'm just going to tell you to come and read this because it's not enough time in fact there's exactly two minutes but they kicked the tyres on that idea and really gave it some teeth and in here we've got a set of principles I guess all I'd say was you heard of Eleanor Ostrom hands up who's heard of Eleanor Ostrom not enough of you first woman to get the Nobel Prize in Economics and I think it took a woman to come up with what she came up with actually where you've kind of got this the economist or all kind of excuse me all a few other male economists here you kind of got this model where you think it's either government regulation or it's the free market and that sort of thing and she's been studying these collective impact communities who've been self-governing for centuries, years and that and doing it successfully so that is one part of the basis of this the other part is the sort of stuff Robert's thinking about in terms of photography and the blockchain and the distributed ledger and how do we build trust and transparency and digital credentialisation at scale across true cards, EDNA, water quality and the other aspect of it is community formation we don't think this is a technology problem what we're wanting to do what we are doing so this is the next is getting together all those true cards we're getting together a bunch of scientists, true card manufacturers and 12 year olds and other people to get together and go well what are they data standards what are the social protocols what do I need to think about in terms of when I can share this and when I can't share this and co-designing both the metadata standards but also the social standards for how you might do this and we want to provide them with the technical architecture the community architecture and the kind of constitution a very structured way of scaling up their collective impact so in the coming year in 17 seconds we're just starting we're talking with our various sponsors we're talking next week actually with the Tindall Foundation next foundation Barahirid Science Challenge Predator Free New Zealand we want to kickstart a prototype we're going to start with a true card and then scale that out to other kinds of data I guess what I need from you and why I'm here is really it needs this kind of community to help I don't have all the answers what I think is great about New Zealand is we're small enough to start small but I want to be thinking globally from day one and how to scale from day one I love those principles the digital principle those digital principles you put up is sort of ticking them off except that it's not digital it's community formation as well and so I need your help to help us do that and if you're interested this is our plan to the next foundation come and get in touch let's see if we can help I think we can do something here in New Zealand incubate something which is quite small to start with which can scale quite quickly so thank you very much