 To open Belgium, a digital version this year, and I want to quickly thank our three main sponsors, Mono Design, Microsoft, and I can't say I've been once bestowed, but then now I want to give the floor to Frank and Emily. Thank you, Astrid. Thank you, Astrid. Well, welcome to everyone in this session about ethics in action. We have 14 users. I see, oh, welcome, Bart is again coming, welcome, Gail, welcome, Geert, welcome, Geert, second Geert, and welcome, Inari, the rest I have already, good that you are here and, well, we're just going to, we have three quarters about ethics in action, the responsible use of location data and, well, we're going to do some things because we are going in action. So, I hope you like it, but first we start our presentation, I can let Zee, yeah, thank you, Emily, Emily, I'm here with Emily Dahmen, and we are doing, we will introduce ourselves later before you can introduce yourself. We are here at Open Belgium, and we have, I just told Astrid, this is our, yeah, five years ago, we were, it was the first time we were in Belgium with the data Derby Belgium versus the Netherlands, and we were here four times in the last five years, and it was really, really great, and I will show you some impressions of what we did, had this term. Next, Emily, yeah, in 2016, I hope, I did some of you joined the data Derby in 2016, please let me know in the chat because that was a really, yeah, memorable session, next, please, where we, among other things, had a, had an interview with Noel van Herderwegen and Paul Seukerbeut, and we compared the Netherlands with Belgium, and that was really great, and we had also a very good, next, a very good after party, and that was really in Antwerp in the city hall, it was really great, with our t-shirts on, and, next, yes, probably some of you know this guy, I don't know him, but I think he said the tone, and it didn't finish very good with him, but he stole my t-shirt, and that was also in 2016, so, and, yeah, the after party was really good, and the after party, Emily, next, was also really good, that was my colleague Mark, with whom I gave the session, so it was really great in 2016, and next, in 2018, we were also in the north of Brussels, I don't know the place anymore, and that was also cool, and we brought our big metal friend with us, and, in 2018, 19, Jochum, my colleague, also had a session about our work in the Netherlands, about going out and talk with people to, yeah, to have good data projects, so, and today, we are here again, with ethics in action, and, yeah, we are, yeah, I'm Frank Skor, I'm with my colleague Emily Dama, and we are, hi, I'm, oh, you say hi, Emily, and, what do we do, yeah, what is our work, and that's, I think that's also interesting for you, we don't go through there and, through all our work, but, for example, we are working on the ethical framework, in, as, together with, in the Netherlands, probably, some people, if you do know it, and together with the Ministry of Internal Affairs, we are working on the ethical framework for the use of, responsible use of location data, and besides that, we also work for the, with the W3C, where we also written a note on the responsible use of spatial data, the links are on the, on this slide, and we will share it with you, so that you can, you can view the work we did, and I think it's very useful to, yeah, to look at this stuff, next, yeah, and we're going to work today, are there, so far, any questions, because, okay, I think, what's the next, Emily? Yeah, are there any questions, and because, if you feel something, if you, you, you feel resistance, or you have a question, or you are enthusiastic, please share your findings, please ask questions, if you want, because these are the, the three most important values, when practicing ethics, is it when you, that you speak up, that you stand up, and that you start the conversation, if we don't do that as data professionals, ethics won't come any further, so these are the most important things we, we discovered, and it's not new, but it's really difficult. Well, of course, we also would like to review, today we have several times that we use the Mentimeter, and we also would like to ask you to fill in the first Mentimeter question, so that we get to know you better, so please do that, Emily is putting a link into the, into the chat. Yeah, so I shared a link, if you click on the link, then hopefully you will see this question, and feel free to select any of the options that apply to you, it's just a bit of fun to get to know each other. Well, the most common thing is I have not been outside yet today, that's a shame. Oh, that's the biggest one. Yeah. That's very interesting to see, and that's very interesting, because six people say the Sun is shining where I am, that's one of the most, and the other winner is, I have not been outside yet today, and that's pretty sad. So I think, but there will be light in the tunnel, but that comes later. And let's see, Doubt is my, oh, that's good, Doubt is my best behavior, and that's very nice, that six people also put in Doubt is my best advisor. My, Doubt is also my middle name. I'm a professional doubter, and that's one of the things why people ask me to do some ethical stuff. So that's really, really great. And yeah, I often also have, honestly, have no idea. So, and one of my greatest challenges is to speak that out, to say that I have to have an idea. So, great. Thank you for your input. Yeah. Well, that's the first thing. Anyone have questions about this, or want to say something about what they filled in, filled in, if you have so speak up. Anyone yet? Okay, there we go. We are, what are we going to do? Because, and it's very good that people don't went out yet, because I think that's what we are going to do today in this session. It's a little bit of a, we call it the great green Belgium experiment. Make Belgium open again, because we're going to collect some data. And we are very curious about how green is your neighborhood. So we're going to collect data of your neighborhood and how green that is. And our question to you is, go outside, to let us know. And how do we do that? Take a photo of something that symbolizes the greenest of your neighborhood. And you are free to take a selfie of that. And then we ask you to share it on Twitter, if you have Twitter, if you don't share it or share it other way, but if you share it on Twitter, at hashtag open Belgium 21. And if you want to do that, also at your locations. That can be so I am in Utrecht. So I make a picture of myself about the greenest in my neighborhood. And then I say, well, this is my neighborhood, the greenest of my neighborhood in Utrecht. So that's the first assignment to you. So feel free to go into the sun or in the rain or whatever. And see you back in 10 minutes. Just take a photo of anything that you think symbolizes the cleanest of your neighborhood. Now, we do this now? Yes. Okay, okay. So you have 10 minutes. Can you show the slides please? So I can send my tweet. Okay. How is someone going? It's the hashtag is hashtag open Belgium 21. Did you have the time to buy me? Did you at the time? Yeah. We got another three minutes, I think. Another three minutes. Okay, cool. Did you manage to do it, Frank? Did you manage to do it? Yes, I managed to do it. I went outside to take a picture. I saw something went wrong. But I've managed to do it. It's not my best picture, I see. I see some other one. Bart Dilt also has a nice picture of his neighborhood, which is very wet. Yeah. And also green. That's really cool. And that's in a big garden. That's cool. Nice. But until now only, let's see, only Bart and I share the picture. And that's okay. Yeah. Oh, here, there. Oh, that's something. Here also. Also, I see a green. That's very nice. Oh, it was someone who made the picture of the tram rails, which also is green. So that's very nice. Because it's very interesting what is green. That was something. If you ask something to make a picture of the green, what is green? Is it are the trees or is it a green door or are it green cars? Or is it solar cells, which make people green? So when we ask this question, it's really interesting what what what represents the greenness of your area. So I think we still wait. How many times do we still have Emily? Time is done. Okay. Good. Oh, yeah. Okay. Great. Great. I have seen. Okay. Okay. Great. There came some pictures along on Twitter. So thank you very much everyone who went outside. And oh, I also can tweet sounds like. Okay. Oh, wait a second. Some people cannot tweet. It's okay. It's okay. Nice. Okay. Oh, just back. Okay. Great. Thank you. You can also, I don't know if you can maybe try and send a picture in the chat. I'm not sure what's possible, but yeah, feel free to share your pictures. Yeah. And what? Okay. So I think I gave you the word to you, Emily. Yeah. Well, now that you're all back, hopefully, we're quite curious about what you found. So I'll share the link of the Mentimeter again in the chat. Please go to the Mentimeter. And then I have the first question for you. What were your initial thoughts or questions when completing or not completing? It doesn't matter. The exercise. What did you think? It can be ethics related or not? We're just curious. Not too eager to share my exact location. That's understandable. Please fill in what were your initial thoughts when completing the exercise. I will take a picture of my neighbors. That's nice. Must be very green. Okay. Cool. If we are typing, please go on. I'm not too eager to share my exact location exactly to find shoes. Of course, I don't have Twitter. That's also it. That's also very interesting, because not everyone has Twitter or a Corona app or whatever. However, what will you do with my location data? Exactly. I will take a picture of my neighbors. Really cool. How precise the location data should be. Yeah, exactly. Yeah. Through the picture. Okay. Without a precise location. Did you want to share location? Greater data of my home. Careful. Yeah. That's really cool. Is there someone who wants to give some additional information about how you experienced this experiment? I hear someone very noisy behind. Is that for you also? I don't hear anything. Is there someone who wants to share his findings? Besides this. Okay. Also, for such a simple experiment as this, what we see here is that there are already a lot of questions rising and a lot of thoughts. I think that's one of the most important messages also for today, but also in all projects, is to share their thoughts and that also the people you work with ask, what are your thoughts? What do you think? Where are your doubts? Why are you doing this? Why are you doing this? So this is very cool. We have another question, Emily. Yeah. Yeah. It's interesting to see that most of the thoughts are about the location data worries and not so much about maybe the exercise itself or other aspects. The next questions are related more to other aspects. We're wondering how responsibly you conducted the exercise. So here there's a scale and you can choose from 0 to 10 with not at all being 0 and absolutely being 10. Please make your way through the statements and let us know what you think. The first statement is my findings are out in the open. The second statement is I shared my findings transparently. Third one is my findings show a good representation of my neighborhood. The fourth one is all the data I collected are relevant to the question. And the last one is I asked others from my neighborhood for input. Okay. Anyone still six respondents or eight? Cool. Which average do you think makes it ethically okay, Frank? Sorry. What do you think the average should be for this experiment to be conducted ethically? Well, I think this is very good. A good average 5.8 and with 5.8 you pass your accent. Yeah. I think it's very cool. People say, well, all the data I collected are relevant for the question. This is seven. My findings show good representation of my neighborhood. This is also in the projects we do questions we are going to live through for weather. Are we open? Yes or no? Did I share transparently what I do and what I did? Is the data I collect relevant for the question? And what's interesting? Of course, it is a very short time. I asked others from my neighborhood for input. And no one did it. I can imagine. It's 10 minutes. So who do you meet in this one and a half meter society? This is very nice. Of course, thanks for filling in and thanks for making the picture. Is there anyone who wants to react on this? Or someone to share or to say something about this? Or can I ask a question? This first two, my findings are out in the open. What do you mean exactly with this? What's the exact question? That's a great question. The idea is that so we asked a question, how green is your neighborhood and whatever you found, your data or your interpretation or your whatever your findings were. The question is, are they out in the open? I mean, if you shared it on Twitter, does that mean that everyone can access it? And then the transparency question is more related to how well did you explain your findings? So you might have posted a picture with your location on Twitter, but did you explain why you did that? What it's supposed to represent? Maybe your bias in the picture. Those are the kind of things behind those two statements. Thank you, Asif, for asking anyone else questions about the results of this experiment. Okay, then we go further. Because this is also, excuse me, to the values we normally use and what we have experienced, and we did a lot of workshops with all kind of projects, and that responsible data and data projects that they have to be radically open and transparent. That you share everything you do with the data, your findings, the things you you work on, and that you be transparent about that, that you be justly purposeful, that you have a very good purpose, and that you first set the purpose and then collect the data, not otherwise. That is the question, the purpose gives direction to the data, and that also the data gives an honest reflection of your reality, and of the reality you need for your question. And something also important that, oh, wait a second, everyone is inclusively engaged with the relevant community. And it's very important that you engage people, and we experience that when you engage and not only companies, but also citizens or other stakeholders to engage with your project. And what we experience is that that almost never happens. Because they start well, we first do an experiment, we do a pilot, and then we're going outside, we will be open, and we will engage people, but you have to do that by design. That's our experience. And of course the thing you do is to be first worthy and secure, and otherwise that you also be accountable. But these are all abstract values, but what we see is where, and every project is different, every use of data is different. So every time you have to fill in these values, and every time you have to live through these values with the team, with your stakeholders, and for every project there will be different outcomes. So what we are going to ask you, and then I go to Emily. This is the last time for the Mentimeter. What we want to ask you, which principle plays a key role in your work? If you see these principles, which one plays a key role in your work? And then we have a discussion about that. Hopefully all of them play a role in your work. But yeah, I was just curious to see if you can choose one, which one you think is the most important. People are filling in, really cool. 11 people already, so that's very good. Thank you for joining and for participating, because it's really cool that you all fill in this. We see a couple of things. One is radically open and transparent and trustworthy and secure. That's the one with the most votes. And then inclusive and engaged with the relevant community. And what's also interesting, of course, are the others. So I would like to ask the person who said other to give an explanation about what the other is. Who's on your microphone. Do you want to explain the other? I think she added an explanation in the chat. Oh, okay. Don't you have the legal principles? The legal principles. Oh, interesting. Yeah, that's very interesting. Yeah, the GDPR principles. Yeah, that's very interesting. And that's correct. And that's true. And something we have experienced also last year is that we had a large framework published and asked for consultation. And what people often say, well, you have to separate ethics and legal and law. Because ethics goes beyond the law. And what we have tried to do in our new version is to separate ethics and law. We pinpoint law and then say, okay, what is ethically responsible? Yeah. And in regards to the GDPR, we see privacy as something that falls within being radically open and transparent. Because of course, privacy is a very big aspect of that. And the question is, you should be open and less and privacy is a major reason for and less. But we like to see it under the main principle of being open and transparent. Yeah. And another thing is that what we see now is that the connection of personal location data through apps or that kind of stuff is now very easy to do. And people say, by default, give their permission for everything. And all that stuff is within the law. Because that's a checklist. And they say, okay, we fulfill the law. But from an ethical perspective, you shouldn't organize it like that. So that's something we want to, yeah, we want, we'd like to manage also in amendments. Okay, thank you, Rienke, for this question. Is there something, someone who wants to give an explanation of the choice of radically open and transparent? Or another one? Is someone one to give an explanation to so for his or her choice? I can't read, I can't see the chat because I'm sharing my screen, but feel free to write things in there if you like. Joran is typing. You can also speak to your microphone. Yeah, exactly. Yeah, as an open data manager for the city of Ghent. Well, welcome, Joran. We've been cool. Ghent is a really open city also. We've been there also with the OKF in Ghent. Yeah, so. And Astrid is also typing. Should we go to the next question? Yeah, that's okay. Is that the last question of the family? Two more. Okay, we go to the next. Okay, yeah, that's also interesting. Which principle is most often forgotten or ignored in your work? Yeah, that's true, but I agree. There's some kind of overlap between accountable and relatively open and transparent. Yeah, definitely. If you are really called open and transparent, you are accountable. That's true. Yeah. So does the next question. That makes sense that the ones that got the least votes in the last question will get the most votes now. Yeah, that's interesting. Yeah, exactly. We're still warm. Okay, yeah, this is of course, this is interesting. Indeed, relatively open and transparent and first word is secure. It isn't forgotten. And privacy and security are always items. And to be inclusive and engaging with the community is always secondary. And that's a pity because it should be that is what in our opinion should be the first thing to do is to engage with your surroundings. And indeed, accountable to be accountable is also confirming our experience in all the workshops we did. Is someone want to explain this or her choice? Yeah, maybe. I'm also curious. What do you realize that you were forgetting these principles or if this is something new for you? If you recognize they are forgotten, you can also bring them in. That's interesting. Oh, thank you, Astrid. You at the OKBE is an umbrella organization. So I see inclusive engagement as our main job. Yeah, cool. And Astrid, do you want to sell a little bit about how are you doing that, the inclusive engagement? For every project we think about who is the community we should speak to, and then we proactively reach out. And you have also the conversations with them? Yeah. Yeah, cool. Do you use a certain method for the conversations? No, it would depend on the project, but not one method that we go to. OK, thank you for this input. OK, and of course it's very important, and that would be we have the last question is what are your key findings from this session? Because we are almost quarter to four, so please share your key findings, your experience, whatever you want to share about this session. Maybe of the exercise? Or the exercise. First, it was also an experiment, so feel free to say whatever the speaker, if you don't like it, say I didn't like it, if you like it, I liked it. If you say, hey, this was really an insight, share it. And if you want to read more about the principles, because we have to go through them quite quickly, then I will share the links in the chat. We'll do that now quickly for the note and for the framework that we've written. What's also interesting, we also did an inventory of ethical frameworks, and we have ethical frameworks compared to each other. So if you have ethics in your work, you can use it. OK, thank you, Emily. Yeah, thank you. I was going to sit back. Yeah, that's also with ethics, because indeed it's a very nice third one, do you sit back and we can tell me what to do? But instead of that, it's you which has to stand up and to speak and to feel what's going on, and if you're doubting, please share it. OK, it's the quarter to four. Congratulations for sharing and for contributing to this session. You were a great audience. You are now an ethics leader, and we hope to see you again next year. So thank you very much. If you have any questions, please share them in the chat. We would have loved to have given you a certificate maybe next time. Nice t-shirts, by the way. Ah, yes! Very nice. Thank you, Arslan. Thank you. Is it OK if I end the recording and we can still leave the session open for for a minute or two for more questions to open Belgium a digital