WiDS Cambridge
Datathon Workshop
Saturday, April 27, 2024 | 9:00 am - 5:00 pm EDT
with a one-hour lunch break
Microsoft New England NERD Center
One Memorial Drive, Cambridge MA 02142
for more details, click important information below or contact wids-cambridge@mit.edu
2024 WiDS Cambridge Datathon: As part of the global WiDS Conference Datathon we are hosting a datathon workshop on Saturday, April 27. The WiDS Conference Datathon workshop consists of a data science/machine learning tutorial followed by a team-based practical session focused on a single data science task. Participants of the workshop will be participating in the Global WiDS Kaggle competition on a dataset/task focused on social impact.
Topic: Equity in Healthcare
Overview: the dataset and challenges. Gilead Sciences is the sponsor for this year’s Datathon. They provided 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.
Who can participate: The challenges are designed for all data science enthusiasts who are discovering or building their data skills. Participants 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. For those who have never tried machine learning, we will be releasing a series of guides to help you get started with the algorithms and dataset. Many WiDS ambassadors will host datathon workshops, where participants will be able to receive mentorship, form teams, and hone their data science skills. Global challenges will run from January – March 2024 and April – June 2024. The WiDS Cambridge Datathon Workshop will work on challenge #2, April – June 2024.
The 2024 WiDS Cambridge Datathon will be led by Arushi Jain, Applied Machine Learning Scientist at Microsoft NERD Center in Cambridge. Arushi's research focuses on Language Understanding pillar of M365 Copilot in Microsoft Search Assistant & Intelligence (MSAI) Team. Sharut Gupta, 2nd year Ph.D student in the Machine Learning Group at CSAIL under the Electrical Engineering and Computer Science (EECS) program at Massachusetts Institute of Technology (MIT), Sharut's research mainly focuses on building robust and generalizable machine learning systems with minimal supervision; Jia He, Applied Scientist at Microsoft NERD Center in Cambridge, MA. Jia is part of the Microsoft AI Development Acceleration Program where she works on different AI/ML related projects with organizations across the company.
Sponsored by
WiDS Cambridge is an independent event that is organized by MIT, Harvard, and Microsoft New England as part of the annual WiDS Worldwide conference, the WiDS Datathon, and an estimated 200 WiDS Regional Events worldwide. Everyone is invited to attend all WiDS conference and WiDS Datathon Workshop events which feature outstanding women doing outstanding work.
The Women in Data Science (WiDS) initiative aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field. WiDS started as a one-day technical conference at Stanford in November 2015. Eight years later, WiDS is a global movement that includes a number of worldwide initiatives:
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