In this lesson, I'm going to introduce Crowdsourcing. Why is it so important to talk about crowdsource? Essentially, today we use a lot of data. We build a lot of database solutions and analysis. But some of these data come from computers, from sensors while other information still need to be produced by humans. We need to bring the humans back in the loop. Since we don't trust necessarily data by itself or algorithms that process these data, humans can still bring a lot of contributions to the process. We want an approach that is able to provide capabilities there of collecting information that only humans can perceive, that only humans can run, and in particular, only humans can deliver such as feelings, subjective perspectives on information, and the reality. We use modern solution based on crowdsourcing, gamification, and game with a purpose for that. What is crowdsourcing actually? We can design a solution to crowdsourcing that starts from the definition itself. Crowdsourcing comes from crowd and outsourcing. We want to use large amount of people to provide some input to our processes. These input could be data, goods, or services. We use digital platforms to do that because they allow scalability of the process to large amount of people and large amount of information. One important point we need to cover is why people should join our efforts in the crowdsourcing processes? Essentially, people have three main incentives : Monetary, self-serving, and altruistic. Let's delve into the different incentives and how we can use them. First, one of the most typical ways of motivating people is to pay them for the work they do. The idea is we build a new job market based on digital platforms to allow people to publish tasks to be performed and to allow the crowd to perform these tasks in exchange of some amount of money. In crowdsourcing, the specificity of the job market is that of using microscopic tasks, more activities to be performed, and small amount of money to be delivered. How can this work? Let's look at the process step-by-step. First, with the players are too, the owner of the task that wants something to be delivered, and the crowd that is going to deliver the task itself. How is this going to work? It works through some mediator between the two rows. The T is the crowdsourcing platform. The owner publishes a task on the platform, put some money in the platform, and invite people to solve its task. The crowd look at the tasks available, choose the task they want to perform, and perform the task. When the task is solved, the owner receives the answer for the input and the crowd gets the money for the job. The result is that everyone is happy because the owner gets his input and the crowd gets the money. Now, we need to keep in mind that money does not solve every problem. For instance, money does not guarantee increase of quality in the results. If you put more money, you do not necessarily need to expect better quality in the output. On the other side, you can expect more participation and therefore faster solutions because people will provide quicker the results. Now, on the other side, money is not the only option we have. We can try to use other kind of motivational aspects. For instance, people may want to use tasks or activities to improve themselves instead of earning money. For instance, we could provide application that let people learn something new in exchange of their work. Typical example, you will learn a new language in exchange, you translate some text in that language or we can provide the recognition, providing a leaderboard, providing recognition by a community of users for the task performed and making, therefore, people self-satisfied. Another way is to deliver, take feedback on their accomplishments. Value the work done by the people, or deliver fun activities so that people enjoy doing the task. Finally, let's remember, people may also have in altruistic motivation, people work voluntarily for common goods, for other people to improve their quality of life or perspective of life of other people. This can also be used as a motivational factor for crowdsourcing. In summary, what did we learn? Essentially, we learnt what is crowdsourcing? What is the importance of human contribution still today in the data-driven approaches to solving large scale problems, we solve that we can provide the difference incentives to the people to collaborate. To do so, we can use different digital tools, different digital applications that somehow exploit one or the other incentive. Through these paradigm, we obtain a highly scalable solution for collecting data, input, opinions, information, and also competition from people that is scalable in the sense that it can start small, with a small amount of people, small amount of tasks, and grow up to tens, hundreds, thousands of people involved in a crowdsourcing campaign those that delivering high potential in the results.