We invite partner organisations to collaborate with us on data-driven interventions in the field of mobility, Climate and health. Our students learn how to run Machine Learning algorithms, develop a data driven intervention, deliver actionable insights as a foundation for informed decision making.
In this challenge, a team of students from the Bachelor's program in Computational Social Science will research and design interventions to solve health, climate and mobility problems.
Students will apply advanced data science methods and develop their data insights in an explainable dashboard.
Students are familiar with (and will be learning) a range of computational methods: Python data analysis, Data visualisation, Web Scraping, Machine learning (Natural Language Processing and Regressions and Classifiers), and Causal loop diagrams/system mapping, as well as research methods like ethnography.
We aim to work on wicked problems together with a variety of partners, both public and private related to mobility/health, provided they are based in the Netherlands.
Some examples of partners we have worked with in the field of mobility include NS, Prorail, GVB, Gemeente Amsterdam, Winds 4 Change and the Urban Cycling Institute.
Some examples of partners we have worked with in the field of health include GGD Amsterdam, Sigra, and Gemeente Amsterdam.
✅ Key features of the challenge
Students per team: 4 or 5 students
Programme: Bachelor in Computational Social Science
No. of hours spent per team: 320 hours
Deliverables: Data driven intervention proposal
The specific deliverables that students will provide will depend on your project needs.
A basic project might include the following:
Data-Driven Intervention Proposal
Data-driven insights with the aim of deploying meaningful interventions
Dataset combining relevant data from multiple (open access) data sources. Note: With the Partner's consent, this dataset will be published on the Amsterdam Open Data platform.
Slide deck with data insights presented in an explainable dashboard: A short and explainable presentation with the highlights of the proposal that you can repurpose.
Intervention Proposal: This includes a visually appealing executive summary, stakeholder assessment, and visualization, business insight based on machine learning-powered data mining, and ethics assessment. Backed by sociological theory and data-driven insight, students will identify key points for intervention aiming for positive change.
🏢 Requirement for participating public & private companies / organisations
Any company or community organisation in the field of mobility/health
At least two founders/employees working in the company.
In business for at least 6 months.
We encourage a wide variety of companies to apply. We ask that you have a clear link to mobility in the Netherlands, broadly understood. If you are not sure if you qualify, please reach out to us!
💰 Costs
This challenge is free of charge. Your investment in terms of time is:
Around 16 hours for the contact person (e.g., joining the kick-off and final presentations, providing information, and answering questions).
Spending more time is fine, of course.
📨 How to apply
You can submit the challenge directly through the website. Provide a title that summarises the challenge. Subsequently, briefly elaborate on your challenge. See link for a template you could use: https://link.masterchallenge.me/challenge-template or use the challenge generator: https://masterchallenge.me/challenge-generator
🗓 Dates
Monday august 31 , 14:-17 : Project Kick-off Event | Roeterseiland Campus, JK Building, Nieuwe Achtergracht 184
Tuesday morning, 8 september 14 -17: Meet and Greet (Partners are introduced to Student Teams) | UvA Roeterseiland Campus or online Teams meeting
Friday november 6, from 2-5 Mid term event to present initial
Friday January 29, from 2-5: Project Handover: Presentation & Report of the Data Driven Intervention, Networking Event & Drinks
Questions? Do you want to discuss your challenge before submitting one?
Feel free to email Ayoub Samadi (a.samadi@uva.nl) or Head of Partnerships Suzanne Hansen (s.hansen@uva.nl, +31 6 482 72 193)