Datathon
Saturday, February 25, 10:00 am - 5:00 pm ET
with a one-hour lunch break
Microsoft NERD Center
One Memorial Drive, Cambridge MA
for more detail, click important information below or contact wids-cambridge@mit.edu
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:
For more information, visit here.
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2023 WiDS Cambridge Datathon: As part of the global WiDS Conference Datathon we are hosting a datathon workshop on Saturday, February 25. 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: Adapting to Climate Change by Improving Extreme Weather Forecasts
Overview: the dataset and challenge
This year’s datathon, organized by the WiDS Worldwide team at Stanford University, Harvard University IACS, Arthur, and the WiDS Datathon Committee, will focus on longer-term weather forecasting to help communities adapt to extreme weather events caused by climate change. The dataset was created in collaboration with Climate Change AI (CCAI). Participants will submit forecasts of temperature and precipitation for one year, competing against the other teams as well as official forecasts from NOAA.
Who can participate: The dataset and challenge is accessible to both beginners and experienced participants from industry, government, NGOs and academia. Whether you’re currently working in the field or just starting to learn about data science, we welcome all participants. For those who have never tried machine learning, we will provide a series of guides to help you get started with the algorithms and dataset.
The 2023 WiDS Cambridge Datathon will be led by Arushi Jain, Applied Scientist II working on Search Relevance under Microsoft Search Assistant & Intelligence (MSAI) Team at Microsoft; Sharut Gupta, 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); and Luana Ruiz, FODSI and METEOR postdoctoral fellow with research interests are in the areas of machine learning and signal processing over networks at Massachusetts Institute of Technology (MIT).
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