In the spring of 2020, new groups consisting of four students will start working on a project commissioned by their client. All teams need various skills like a data analyst, a creative mind, someone who talks a good game or a thinker, so there is an analyst in everyone.
During the various stages of the projects, different trainings are offered to support the teams. In addition, you will meet regularly with all the teams together to have a closer look at the opportunities and progress of each project. In this way we want to offer the analysts the opportunity to get the most out of the project and provide insight in the other projects. The project round will be completed with a kick-out to present all findings to the clients and to fellow students.
Projects for the spring 2020 round are:
1. NOS (thesis project)
The Bachelor's theses at the UvA are in general theoretical theses with topics that are closely related to science. The Analytics Academy gives you the opportunity give your thesis more application in practice. You will still write a scientific thesis for the UvA, but based on a data set (with its additional advantages and disadvantages) from practice. This dataset is provided by a non-profit organisation. You can therefore really contribute to these organizations while writing your thesis. This year the Analytics Academy hosts a thesis project for the NOS (The Dutch national news broadcaster). They ask themselves: What type of news customers visit what type of news categories on what news platforms? You will analyse their 6 main competitors. What can you say about the difference in visitor behaviour between these competitors in times of breaking news? In which areas / genres do visitors prefer the NOS to their competitors?
You will work with a data set that contains the dependent variable visiting frequency. The independent variables will include personal data of the visitors such as gender, age and social status. Furthermore, the dataset contains information about the genres of the news items, whether it has been visited via the app or on the web, the surfing time of the visitor, on which device it is consumed and the type of news article.
Practical information: If you were to participate in the thesis project for the NOS, little would change in the normal course of affairs regarding your thesis. You start else at the beginning of April and end late June, just like everyone else. The main practical difference will be in the first thesis meeting; instead of choosing your preferred subject from a list of possibilities and hoping you get the subject you want, you will already know your subject in advance: The NOS. You will work in a team of 4. Each of you writes their own thesis about its own 'sub-topic' but all theses are based on the same issue and you all use the same dataset. As you join a project for the Analytics Academy, you will also participate in 3 training sessions organized by Amsterdam’s leading data consultancy companies. You will also visit the NOS one or more times to discuss the project.
2. DeLaMar theather
3. Amnesty International
Amnesty International is the biggest independent human right organization in the world. The stated mission of the organization is to campaign for "a world in which every person enjoys all of the human rights enshrined in the Universal Declaration of Human Rights and other international human rights instruments. This mission is supported by over 2 million members and over 5 million activists world-wide. Without these members and activists their mission is not achievable. Hence, it is of great importance to keep searching for those who agree upon this mission of Amnesty International to support them in this mission. The project of Amnesty International which we have been able to make available for you is to analyse data of AI to make an analysis of the best possible lead to member route by analysing over 200.000 data points. In a team of 4 students you will work on this project for a period of 15 weeks in which on average you spend 4 hours per week on the project. This will be supported by consultancy firms in the form of training sessions about data preprocessing, data analysis and data visualisation to give you the knowledge to act as a consultant for Amnesty International.
*Note that the training data might change, they will stay in the same week.
Vrijwilligerscentrale Amsterdam (VCA)
VCA supports the volunteer work across Amsterdam. Their passion is to help out people from all walks of life. Together you will have a closer look on the impact of VCA on Amsterdam. Do you contribute to a better Amsterdam? The available data consists of registrations from mediations between volunteers and job vacancies.
Hockeyclub A.M.H.C. Rood-Wit
Rood-Wit is one of the oldest hockey associations of the Netherlands. The competition in their league is huge. In order to outrank everyone else, they want to improve their game by means of sports analysis. Can you help take this team to the championship? Their data consists of motion trackings of each player from the last 22 matches. This could be a ground-breaking analysis for the Dutch hockey.
ROC Horizon College
The Horizon College offers education to people without an initial qualification. They need your help to explore the characteristics of the different students and find out which students finish their school succesfully. Are you able to improve the future education. With this unique data set consisting of performance and background data, this will be a unique opportunity.
SPUI25 builds a bridge between the academic world, the society and the practice of culture. What is their audience and what do they think of their visit. This will be a creative research for data and data strategies. Together with SPUI25 you are expanding their audience research and set up a new research.
Ambulance service RAV IJselland (Bachelor's thesis project)
The target of the RAV rescuers is to reach every emergency call within their target of 15 minutes. Minutes can mean life or death. Are you interested in exploring various factors and in addition writing your Bachelor's thesis on this subject. A data set consisting of 10,000 emergency calls will mean the difference between life and death.