WiDS Maastricht Datathon 2024

Women in Data Science
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Welcome to the FIFTH edition of the WiDS Maastricht Datathon, that will take place on February 2nd and 3rd 2024!  All genders are welcome to join!

The WiDS Datathon is an opportunity to discover and hone data science skills while solving an interesting and critical social impact challenge. Whether you are an aspiring data scientist or a data science enthusiast, WiDS provides a supportive environment for participants to connect, share interests, learn from, help each other, and have a lot of fun!

Introduction

WiDS Maastricht Datathon
2024 will be the fifth year that the Institute of Data Science will be hosting the WiDS Maastricht Datathon to inspire everyone (women and men!) to learn more about data science and to create a supportive environment for everyone to connect with others in their community.
Check last year's Datathon

WiDS Datathon Global
The WiDS Datathon is a Stanford University initiative preceding the Women in Data Science Conference (WiDS). WiDS aims at inspiring and educating data scientists worldwide, regardless of gender, and supporting women in the field. The WiDS Datathon builds upon these same objectives by enabling a diverse team to work together in a data-related challenge. 

Data Challenge 2024: Equity in Healthcare

Background
Addressing healthcare inequity is critical and has an extensive positive impact on health, society, and the economy. Women often encounter distinct health challenges and stand to gain significantly from efforts to ensure equity in access to healthcare. Achieving health equity involves addressing disparate treatments based on demographic and societal factors so that in the future women can achieve their highest level of health and well-being.

Dataset
It is a rich, real-world dataset which contains information about demographics, diagnosis and treatment options, and insurance provided about patients who were diagnosed with breast cancer from 2015-2018. The dataset originated from Health Verity, one of the largest healthcare data ecosystems in the US. It was enriched with third party geo-demographic data to provide views into the socio economic aspects that may contribute to health equity.

Your challenge
...is to predict the time of treatment of women patients who are diagnosed with metastatic triple negative breast cancers (metastatic TNBC). Metastatic TNBC is considered the most aggressive TNBC, and women who are diagnosed with it are among those who are in the most urgent need for timely treatment. You are expected to develop a model to predict how many days it takes for a patient to receive the first treatment for their cancer diagnosis based on patients’ characteristics. Differences in the wait time to get treatment is a good proxy for disparities in healthcare access. You are also encouraged to go beyond the predictive challenge to generate additional insights and to understand the real-world implications of the results.

General Information

 

  • ALL genders, backgrounds, and positions are welcome to participate
     
  • You will have 2 days of Data Science learning, FREE of charge
     
  • Open to individuals or teams (up to 4 participants and at least 50% women in each team)
     
  • You will develop a model to predict if the time for a patient to receive their first treatment for  their diagnoses is within a certain length of time.
                                                                                                                                                                                                                    

  Meet the Team

 

Pre-training and tutoring support

Both the data challenge and the competition are hosted on the Kaggle Platform.

If you have not participated in Kaggle competitions before, or if you do not have sufficient data science skills, you can join our pre-training sessions to help you to use Kaggle platform, understand the dataset, introduce data analysis pipeline, brainstorming on possible solutions, etc.  The pre-training sessions will take place on Friday 2 February from 10:00-11:00 and on Saturday 3 February from 09:30-10:30.

As a warm-up for the Datathon, people who have experience in data science are also very welcome to join: Help others and get to know your team members for the Datathon!

 

Meet the Tutors


Program

Check the schedule 

 

Past Datathons

Look back at the WiDS Maastricht Datathon 2023 and the Datathon 2022

 

Related Events

WiDS Maastricht Conference 2024

 

Organization

WiDS Maastricht is an independent event that is organized by Institute of Data Science at Maastricht University as part of the annual WiDS Worldwide Conference, the WiDS Datathon, and the WiDS Regional Events worldwide.  Everyone is invited to attend all WiDS conference and WiDS Datathon Workshop events which feature outstanding women doing outstanding work.

WiDS Maastricht Datathon is an event organized to precede the Women in Data Science Maastricht Conference. Both events will be held on-site this year and you are welcomed to join both! Participants can be of any gender, and can be students, faculty, government workers, members of NGOs, or industry members. 

For further questions, please contact the organizers

Meet the organizers

WiDS Maastricht Datathon Promo new logo

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