 I'm going to give a very quick presentation on the activities we've developed as champions and particularly around the expert network. It's going to be short, just going to give a flavor and then really I think the meat of the of the exercise will be Steve kind of taking you through the various tools we've developed that allow us to collaborate in a digital space. And of course to degree has been driven by by mother coven and where we're at in circumstances but I think far wider we've really set up quite a nice and comprehensive digital collaboration space that we're keen to share with you guys. And then after that we'll move on to the single presentations from the projects is that correct person. All right, I will share my screen. Where is there she is. Okay, everybody see this. Cool. Thank you. So the expert network was established in November last year. Here you can see the composition of the expert network purpose of the expert network. It has a number of different objectives. The first is to generate a sense of community around the digital environment. What do we mean with digital environment. So this is one of these terms that has come up. And as we've been building on for a while, in the sense that we see a lot of modelers, people around sensing sensor development people around how to use informatics information systems tools and developing tools. So we see very associated to their various nerd disciplines. So hydrologists, hydrologists. So scientists, so scientists climate change oceanographers that's, but the challenges they face are similar. And so we feel that there's this opportunity to learn from one another in that sense. So as we move forward is very clear that the environment is a system, and we have to approach it from from an entire systems approach. So multidisciplinary approach. And of course the digital cuts across these disciplines very nicely as a theme. So there's really two objectives here one is to start developing this concept of what do we mean with digital. What are some of our challenges. What are some of the good practices that's why Steve's on about identifying examples of good approaches in, in developing digital solutions. And, but also in terms of just getting that communication across different disciplines because in essence, modelers tend to face similar problems, no matter what discipline as the people that develop sensors and that integration from sensors to information systems to models to decision tools is at arc is quite similar across disciplines. And as you can see, the two objectives with a number of objectives around the expert network there there are further objectives around impact and outreach and widening the scope of activities and the impact of these activities across civil society policy government and industry. As you can see there we have quite a mix of industry policy, early careers, academics, senior academics and we have a number of international experts to. We'll be looking to renew the membership of the expert network. We'll be back early in the next couple of months and we're starting to develop how the approaches around that so part of what I'm telling you keep in mind if you've got someone you think is is would be interested in this please let us know. Okay, so like I said, the intent is to kind of cover that arc of sensitive sense technology sense of development Earth observation to data systems. So kind of, you know, getting the information about the getting the data about the development, organizing collating sorting, storing that data, turning that data into information through data science through models. And then the citizen science decision support thing to make that date data useful for end users. Because information per se is not right you have to also start thinking about how an end user a policymaker or industry might actually benefits from that information. So that gives you the sense of arc that we're covering. And the little people underneath it is where at the moment we have most of our members, of course, one member can be active in more things. Likewise, it's truly interdisciplinary. So the box on the bottom right gives you a flavor of the various disciplines that they come from as you see we have ecology hydrology. In this business, we have quite a spread of people active in this network. And we have across industry research centers, government NGOs, academics, so we have a good flavor of people involved in this as expert network which makes the debates and discussions we have quite lively. We meet every six months, and as I have a large manual meeting where we bring everybody together and have big discussions about what we what various topics around the expert network. And then we have very specific activities on which I go, which which I'm going to touch upon later and there's three stress four strands of activities. And then we recently completed, and I'm going to go into a bit more detail there because it gives you a flavor of the kind of outputs and activities that we do. And then I will broaden out and briefly discuss the other envisioned activities we have on the expert network. One of the key successes early successes we did was in the spring we ran a set of we ran an idea fun. Basically thinking about how we could respond to covert challenges, and that idea fun, which ran across the expert network been involved other people wider than that came up with a set of hackathon activities and themes. Again, focused around environmental solutions to the covert challenge. One is air quality. One was recovery one was ecosystem services and one was visualizing risk. I'm going to briefly go through these very very quickly just going to get a quick flavor with the hackathons did. And then I'm going to move on to some of the other activities. Steve and I can will happily answer any questions if you've got more specifics. So, of the four digital student hackathon events we had about 50 registrations, we had 19 full entries in GitHub, which Steve will show. And it was, it was quite successful quite a wide success of interest around that. Now for me, being an academic the interest was basically in what they actually did, as well as as this wide scope of impact. The first one, looking at air quality, as you can see was was one by the Bristol Air Squad, and they really looked at developing a Bayesian infant system around relating air quality to code. The second one was one. And I can't even remember by the Cardiff University math department. And they looked at how to organize a carriage train carriage to minimize COVID risk. So how you would organize shielding and how you would organize seating to minimize the risk of cross infection from COVID if you were to take a train. And the very interesting rationale around this was, as we as they quickly picked up that because of COVID related risks, people would be more likely to step back into the car. They would using public transport transport and that there is a real risk in terms of decarbonizing or meeting our decarbonization targets that COVID will will lead to societal behaviors that are very carbon intense. And they look were looking through this app based system to de risk. Public transport. The third was fresh to furious. They were basically a mixture of various various academics and engineers, and they basically looked at where COVID is and how it relates to green space, and they looked at the value of green space, and how that kind of relate to code infection and the visualization was really, really nice. The fourth kind of looked at visualizing risk. So this was an app. So this was team visit got to an app where basically you could determine locally what what your risk was of COVID and this course precursor the current COVID app. But it had a very nice visualization space. So this gives you a flavor of the kind of activities and outputs that you can get from what we call agile response to challenges it. And it showed us and within the program to present to UK government, a different and an exciting way of working, whereby in essence we could respond very very agilely with a very with a strong element of agile agility, quick response to challenges, as well as the more fundamental work which is represented by the the funded programs that you guys have. So what we're going to do in the CDE network, while things like there'll be a Q&A kind of space where we can, we've got very very good experts on this network but they're very busy. So we have to be very specific and we can put specific challenges to these experts, either around industry or around policy, and they're quite, they're quite eager to help. So a number of our experts are developing a webinar series. At the moment, the webinar series is around uncertainty, it might, it might be a burden at the moment. Beyond that, but these webinar series would kind of get key speakers to talk about key issues in the constructing a digital environment. We have a set of activities, quite a deep activity led by our experts around horizon scanning. So one of the challenges we had was, we know what the challenges are now around sensors, sensors to information systems, etc. But what are the one of the key, what are the type of challenges that are on the horizon. So the technology in this space, it changes quickly develops very very quickly. So for instance, in order to truly have impact, we need to understand not only the challenges and solutions that we can develop today, but also start understanding what's going to come down the road with us. Steve will touch upon blogging and blog activities we have. My little Apologies, I'm going to move this thing. I had the little zoom thing with all the faces on in the way of the workshops. So we also want to develop a set of workshops concourse we call them, whereby basically we delve into a particular topic. And a good example of that, for instance, is what happens if you have a wide range of sensor systems of varying quality variance prominence and particularly some of them are older than others so you have aging technology mixed with novel technology perhaps mixed with expert citizen science. How do you incorporate all of that to help an agency make decision making such as flood defense and how do you, how do you deal with the uncertainty around that. There's some other topics that we might pick up on but these would be then a set of two set of a week long deep dive kind of activities whereby we would just focus on that particular topic and really try to develop a solution around that. So this is a different level of activity than for instance hackathons, which tend to be solution focused very agile but have a different level of sophistication. We, as Kirsten mentioned we're reaching out to lots of other programs then you know we're bringing together the program activities that we have in our program. We want to work with the digital solutions program which is our sister program. And in essence there's some other thoughts we have around KTNs. And then of course our stakeholders how we, how we, how we link with stakeholders, how we link with the wider academia. How do we reach out to the wider communities and co develop so these are some of the challenges we put ourselves up towards ourselves within the expert network and some and, as you can see we've identified in green underneath some of the possible activities with that we as an expert network could put forward to deal with some of the challenges we have identified. That's all I'm going to say about the expert network I'm now going to hand over to Steve who's actually going to show you the far more exciting bits which are the nuts and bolts the the actual elements in this that make all these things actually work and happen. Okay, so hopefully you can all all hear me and I'm just conscious that we are running a little bit behind time so I think we may possibly not have the breakout room but we'll have a sort of general discussion in a minute but let me just in a couple of moments explain some of the technologies now as you know this is one of two meetings and I'm not actually able to join the one next week so in a sense I think this is being recorded my presentation will be shown next week as well so bear that in mind. Alright very good I'd like to show the technologies that we're using and if I just share my screen. First of all I just quickly bring up the main website and you'll you'll see hopefully you're quite familiar with the website it explains all about the the ambition and It explains the objectives as Ron's just been through of the program and the the role that we have and introduces the expert network that Ron Ron just spoke about with links to short bio bio descriptions of each of those colleagues. It lists all of the projects that we have including obviously your your own projects are listed there and what we'd like to talk about is ways that we can have a page for each of these projects. That's very much more something that you yourself will provide us with information to have in this in this sort of central place. Ron spoke about the various activities of the expert networks one of which is doing a webinar series and it won't surprise you to know that we'll be speaking with you in due course to see if you might be prepared to give a one of the short half hour webinars in in in the months to come. So that that will be good. And another of our experts Jenny is present in cream tea project. And in fact, we have an example here of something that's taking shape here, one of the data discovery trails one of the things we learned in the Harvard hackathons was the need to have data discovery across the NERC data centers and this is one way of trying to trying to capture that that trail of data. We also have a fairly active blog and again it won't surprise you to know that we may be looking to see if you may wish to contribute a short 500 words plus picture blog every now and again or your team colleagues into this central repository of blogs and so on. So that's that's enough on the website. I will draw your attention quickly to the the hackathon pages that Ron mentioned, if only just to say that we have also one of the other setup is a get hub for the for the for the program itself. And then here we are we are able to gather together examples of Python scripts are scripts, the use of binder if you're not familiar with binder as a way of launching those apps. Really fantastic resource actually for anyone starting out in environmental data science to come and have a look at some of these excellent solutions here. And we've just shown a few pictures of the example outputs from from that so for example a team Visigoth that Ron just put there on the screen so you can have a look on our, our get hub which is linked from the, from the website. We, this, this is an example of one of the applications that looks at safe distancing and shielding on in public transport as an example of one of the, one of the things that was undertaken in that process. We also of course have are the usual things like tweeting and so on and I think Kirsten and her note just identified for those of you who are into tweet the sort of handles that we can use like SPF did you and just to make sure everything links up together in the, in the grand scheme of things. So what I would like to suggest then is on the, on the website there are a few points just to very quickly make one is we would like to record the presentations that you're just about to make, and maybe capture those as a, as a quick pitch for each of the projects. We would like to invite each of the projects to have a short page of information about the project which we will have in this sort of central location. In other words, please use this website as a, as a means to disseminate or one of the ways to disseminate your work. And see if PIs or wider teams would like to have a slightly longer presentation perhaps in the form of a conversation recorded with with a Q&A type activity about the work that you're doing. And in the other, if I may just completely finish by showing Slack, which is just here. We have a Slack channel, which we have set up for the expert network and if you're familiar with Slack it's one of these social media media type chatting sharing file sharing things it's a super resource for everyone and what we propose doing is setting up a Slack for the, for the funded projects now and with the expert networks we meet bi-weekly for one hour where we just everyone hammers away at this and there's lots of sharing and that's been a tremendous boost for the expert network and we think we can probably do something similar to that with the with the funded projects. So I'll stop there but that's just a quick overview of the various tools and techniques that we have and it's listed on the website as well.