WiDS Cambridge
Datathon Workshop
Registration is now open,
and closes April 4th at 2:00 pm ET
Saturday, April 12, 2025
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
2025 Datathon Workshop
2025 WiDS Cambridge Datathon: As part of the global WiDS Conference Datathon, we are hosting a datathon workshop on Saturday, April 12. 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 studying women’s brain health
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Topic: Women's Brain Health
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Overview: the dataset and challenges. WiDS partnered with Ann S. Bowers Women’s Brain Health Initiative in collaboration with Cornell University and UC Santa Barbara to look at how imaging based measurements of the female brain track with diagnosis of neurological or neuropsychiatric diseases. Dataset contains demographic, diagnostic, and functional MRI data provided by the Healthy Brain Network (HBN), the signature scientific initiative of the Child Mind Institute, and the Reproducible Brain Charts project (RBC).
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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 7 – April 30, 2025.
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The 2025 WiDS Cambridge Datathon will be led by Arushi Jain, Applied Scientist, Microsoft AI. 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; Claire Tinker, Sustainability Solution Architect at IBM in Cambridge, MA. Claire is focused mainly on Computer Vision solutions, and working with civil infrastructure clients (Railroads, Bridges, Airports, Roads).
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.
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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. Nine years later, WiDS is a global movement that includes a number of worldwide initiatives:​​
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For more information, visit here.