 Hello everybody and welcome to the revolution. I'll explain later what that is. So, hello, I'm Anka, I'm a web developer. I've been involved in my professional life in open source as a day job for X-Wiki, about which Vincent just talked before. But this project has nothing to do with it, so don't mix them up. And I started on the project, Open Food Facts. I started about the beginning of 2015. If you wanna talk to me, the best thing is to pings me on Twitter. So, this Open Food Facts is about the fact that if you ever have tried to eat food from the supermarket and you try to actually figure out what you are eating, you looked at the label of the product and you saw that there's so much information on the label of the product and it's really difficult to kind of understand those things. I mean, you kind of have to know what that means and know how to read it. So, this is only one packaging. Now, imagine that you're trying to pick some cereal for breakfast and you have like 43 boxes with all that information on it and you're trying to understand which cereal you should pick. So, this problem kind of brought us to try to make a database of all this information about the food products and put it on the internet somewhat like Wikipedia. Like if you imagine that Wikipedia is containing all the information in the world and it's storing it and if you think about OpenStreetMap, if you know about it, it's kind of the same principle. Let's take all the data about the maps and everything and put it on the internet because it's data that belongs to everybody and so it should be available freely to everybody. That's what we did with food products, with information about the food products. We took them from the labels of the product and put them on the internet to be available for everybody. When I say us, I mean us the people. I mean us the citizens, like normal people, regular people, there's no organization, company or whatever who is controlling this is like the people that participate to create this thing. So, the way it kind of looks like this, so the result looks kind of like this. This is the main page of the OpenSource, sorry, OpenFoodFact website. You have the product and the list of recently added products and things like that and then if you wanna see the page for one product, it has the name of the product, a little image here. Here, I don't have a laser. Do you have a laser? This is a laser. There's a red button. Yes, you have the image of the product and then you have various information like the quantity and all the things that you can find on the label of the product. Of course, there are the ingredients of the product with interesting stuff like what are the allergens in it, what are the additives in it and things like that and also the nutritional facts that are written on the label of the most of the product. It's kind of the law in a couple of European countries or almost the law in a couple of European countries. So you have all this information on the label of the product. We take them from there and we put them on the website. So that's how you have all this information. In practice, the way it actually works is that you do that with your mobile phone. There's a web application, sorry, there's a mobile application. There are multiple mobile applications because it's an open project everybody can contribute. So you install the application on your phone and then you scan the barcode of the food product and then you take pictures of the label of the product which contains this information. Like you take a picture of the nutritional fact, one of the ingredients and other interesting information that you find on the label of the product. And those pictures get sent to the website where you can come and fill in the product page from those pictures. Now, the pictures are quite important. When I say fill in the data, you can do it manually or you can be assisted by OCR to kind of easily read the text from the label if the photo is good enough. Now, what's interesting is that the photo is actually a proof and the source of the data. And the proof is quite important because that's why it's facts. I mean, the idea is that we're not actually inventing information or following some marketing or whatever. We're just, we're trying to say what the producers say about the food. Whether producers declare about the food, we're just indexing it and creating this huge database of things. And when I say huge database, you will wonder what are we doing with this data? Why are we collecting so much data and what are the interesting things that we can do with this? You probably have your own ideas by now. I'm gonna give you our ideas of what do we do with this data. So first of all, when we try to standardize the data and ingredients and additives and things, you get the personal benefit because you get to understand the label of the product a little bit better. Then you can compare products between them and then all of these database can be explored by various criteria like categories of products, which product contains this additive or not or things like that. And obviously you can do statistics. Yay, I love statistics. So you can do a lot of nice statistics. These are actual data. These are the actual statistics about the yogurts that we have in the database. And we actually, there was a campaign like to open the yogurts and we collected information from the users that contributed this information. We collected information about 4,000 types of yogurts and we have here the statistics for the nutritional information of these 4,000 yogurts. This is actually very interesting information because you have it nowhere else. If you try to get this information from a producer, he's gonna give you the information about their own yogurts. They're not gonna give you the information about the competition yogurts. If you try to get this from a supermarket, they're probably not gonna give it to you because it's not open and it's a competitive advantage that they have to analyze this. So this is actually the only place where you can get this kind of information about the food that you eat. And what's better than statistics? So you can also make this kind of stuff. You go on the open food facts website and there's a little button on the top, right? And you can create this kind of graphs. This is a graph that shows, sorry, I need to find the English word. Fat, yeah, thank you. That shows fat and sugar for the breakfast cereals. And you can see kind of where do they place. Like there's a lot of products here. Like most of the breakfast cereals are between 20 and 30 grams of sugar per 100 grams. And there's a lot of them that are concentrated in this area. So you can do this kind of exploration in this big database of product. You can also zoom the graph. I'm gonna say this for people that are gonna try to make this graph today and we'll find that there's thousands and thousands of dots on that graph and will not understand anything from it. Know that you can zoom it. What else you can do with this data? You can reuse it in various applications because the database is free, is an open database license. So you can reuse it however you want and do interesting things with it. And these are a couple of people that have done interesting things with it. There's a game that proposes you to guess how much sugar there is in products. There's an application that proposes to help you find out when your food will expire so that you don't forget about it in the fridge. There's an application that kind of proposes you to be your personal assistant to tell you what you eat. This is good, this is not good. Stop eating this, get this, has less sugar. So if people are fan of that, they can install it. There's an application to help people manage their health. This is for managing people that have diabetes to control what they eat and what is good and not dangerous for them. And also even like a kitchen scale that uses data from the database to tell you more about the product that you're waiting on it. It can also be used as citizen science. Citizen science meaning that the data that we have collected has been used to validate a formula to compute the nutritional scores in France. So there's a professor that has created this formula with his team and he needed data to validate the formula for computing this course. He used the data of OpenFoodFacts. So that's quite great actually because we participated to making the world a better place. And it was also used by various newspapers to actually when this was in the news in France, there were a lot of people that were discussing about it and newspapers did their own investigation and things like that. And they used the data from OpenFoodFacts to do investigation and say, oh look, the average sugar in cereals is around 28 grams. Did you know? And things like that. So when we build this database, we actually participate to science. It's not only like a hobby for the weekend. And also we can imagine that in the future, there will be laws that will make it mandatory to put more information on the labels of the products and we would want to collect that information and learn from it as citizens. And OpenFoodFacts is a place to put this information. So it's also a software that is like a nest where things could grow in the future. The project was launched in May 2012. Today there's about 4,200 contributors from the whole world. It started in France but is made for the whole world. You can add products from any country in the world. And today it has a total of 420,000 products from 191 countries. So it's quite big actually. But there's room for you. We also made OpenBeautyFacts. So as a derivative of this project, based on the same source code, we made OpenBeautyFacts which is exactly the same thing but for cosmetic products. So if your thing is not food and your thing is cosmetics, there is this for cosmetic products as well. It's quite smaller today but it can be just as big. I know that by this time, you're telling yourself, hurry up Anka, you only have four minutes left and you have to explain us how to participate to this wonderful project. So you can participate in multiple ways depending on what you like to do or what you want to do and what you can do. The first thing and the easiest one is you download the application, you scan, you take photos, you go to the website, you fill in the data from the photos that you took or you fill in the data from photos that other people took and you contribute with data to the application. And that's it, you're part of it, you haven't missed the train. The next way to contribute is by creating a community or by participating to the community if that is what you know how to do. You can talk around you, you can make presentations. Here is a very mixed crowd from all around Europe. I can tell you there's countries in Europe where there's about 93 products added so you can do the 94th, 95th and so on. So you can actually start the thing in your country or participate to a country that you know you can translate in a language and things like that. And also if you are a food geek or a cosmetics geek you can come in the community and teach us more about these things because we don't know everything. Or you can also come and develop with us because we also need that. We need parole developers, parole developers please come. Yes, I see hands, great. So we need parole developers. There's a large database, there's a huge database which is in MongoDB. So if your thing is big data treatment and machine learning and things like that, know that this is actually a wonderfully big database with lots and lots of data to have fun with. Also mobile development which can be a cross platform or specific to iOS, Android. And also know that we are trying to get into the Google Summer of Code 2018 as a mentoring organization. So stay tuned, maybe you will be in and maybe you can be a student or a mentor. Also one way to contribute is to actually reuse the data, make your own applications and contribute back to the database of origin because that's what the license is. So you can use it and give something back to the community. You can get in touch by Twitter or by going to the website or by Slack. Do you have any questions for about two minutes? Yes. So the question is, yeah, I'm doing it. So the question is how do we assure that the data is of good quality? The data that was input, it's of good quality. The principle is the same as Wikipedia. The principle is that there will be enough people looking at it to correct it if it's wrong. The principle is you cannot add data if you don't have a photo to prove it. And so if somebody takes a photo and fills in the wrong data from it or if he tries to fill in data that he doesn't have a photo for, it means that it can be wrong data. So you can, if we have a large enough community and enough people looking at the data, they will correct it eventually. That is the principle of the, yeah, it's exactly the Wikipedia concept. Yes? There was a question back there. Do we have a collaboration with Wikidata yet? Yes, there are links between OpenFoodFacts and Wikidata and there's bridges to bring data from one to another. Yes? Do we allow producers to provide information directly and do we allow them to provide more information that is already on the labels such as sustainability? The answer is I think yes. On our license. On our license. So the data that they provide needs to be provided under our license. Time's up, people tell me, but we'll be hanging in the hallways and you can find us there. Thank you. Thank you.