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WiDS Datathon Further Examines the Impacts of Climate Change

3/8/2022

 
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In the Excellence in Research Award (Phase II), we will broaden our focus to examine the impacts of climate change across multiple domains. Participants in Phase II will have the opportunity to choose to explore one dataset among several, spanning sectors including healthcare, energy and environmental protection. Participants will also have opportunities to take deeper dives into their dataset and tackle a range of impactful real-world tasks. Teams will submit a research report at the end of Phase II.
New this year, participants in Phase II will receive mentorship from experts in the domain related to their choice of dataset and task. Domain expert mentorship in Phase II will allow participants to both strengthen their foundational data science skills as well as develop skills needed to conduct research in data science. Teams with outstanding paper submissions from Phase II will be invited to submit their work for publication.

​To be eligible for the award, all entrants must have participated in the first phase of the WiDS Datathon 2022 on Kaggle. 


The Excellence in Research Award (Phase II) is open from March 8 - June 30, 2022. Register now to participate.

After the June 30, 2022 research paper deadline, submissions will be reviewed for their potential for real-world impact, rigor in scientific methodology, and clarity of communication, by subject matter experts from the WiDS Datathon Committee, the National Science Foundation Big Data Innovation Hubs, and Datathon partners. ​
Register Now
Partners and Tracks
Phase II participants will be able to choose one of three datasets to explore:
  1. US Environmental Protection Agency (EPA): weather, air pollutant, and census data
  2. MIT Critical Data: CDC county level COVID data
  3. Climate Change AI: OpenStreetMap building data

Timeline and Mentorship Opportunities
  • March 8th: Phase II registration opens 
  • March 18th: Q&A Kick-off call
  • April 15th: Phase II registration closes & mentorship office hours
  • May 13th: Mentorship office hours
  • June 17th: Mentorship office hours
  • June 30th: Submission papers due on Submittable. Judging begins
  • August: Winners announced

WiDS Datathon Partners EPA, MIT Critical Data, and CCAI will also host office hours for teams in their respective tracks to answer questions.

WiDS Datathon Phase II Prizes
The top three teams will receive cash prizes courtesy of Kaggle. 

1st Place Team:
  • $4,000 USD cash prize for the team
  • 1 complimentary VIP registration per team member for the WiDS Worldwide Conference in 2023
  • A WiDS Datathon Excellence in Research Award Certificate for each team member
2nd Place Team:
  • $3,000 cash prize for the team
  • 1 complimentary VIP registration per team member for the WiDS Worldwide Conference in 2023
  • A WiDS Datathon Excellence in Research Award Certificate for each team member
3rd Place Team:
  • $2,000 cash prize for the team
  • 1 complimentary VIP registration per team member for the WiDS Worldwide Conference in 2023
  • A WiDS Datathon Excellence in Research Award Certificate for each team member

In addition to the Excellence in Research Award, up to $7,000 USD will be distributed for honorable mentions across submitted research papers. Outstanding honorable mentions may also be invited to submit their work for publication. All winners will be recognized on WiDS social media channels.

Eligibility
To be eligible for the award, all entrants must have participated in the first phase of the WiDS Datathon 2022 on Kaggle. 

We encourage Phase II individuals and author teams of up to 8 people to work together. You may collaborate with individuals in a “new” team for the second phase of the Datathon, as long as (1) each person participated in the first phase of the datathon on Kaggle and (2) your new team still includes 50% or more individuals identifying as women. 

Submission Formatting 
Submissions should follow the WiDS Excellence in Research Award Paper Formatting Guidelines.

Submissions should include details on data exploration/analysis and model building/interpretation, as well as an abstract (4-5 sentence summary) and a list of references (e.g., cited research papers, books, tutorials, or other resources used). Final papers should be submitted as a .pdf file; participants are welcome to generate the .pdf file using Word or LaTex.

We request submission content in English to facilitate the review process, but welcome additional translations and encourage participants to share their papers broadly. Papers will also be eligible to be published on the WiDS Datathon website. See more submission content and guidelines.

Get inspired!
Hear directly from last year Excellence in Research Award 2021 participants, and read their research papers:
  • First Time Kaggle Participant Team Earns WiDS Datathon Excellence in Research Honorary Mention
  • Collaborators Who Met During 2021 Datathon Win Excellence in Research Award

Acknowledgements:
The WiDS Datathon Excellence in Research Award 2022 is a collaboration led by the WiDS Worldwide team at Stanford University, the Institute for Applied Computational Sciences at Harvard University and the WiDS Datathon Committee. WiDS Datathon 2022 cash prizes are provided by Kaggle. The Excellence in Research Award is supported by the National Science Foundation under Grants 1916573, 1916481, and 1915774, as part of a network of Big Data Innovation Hubs. Special thanks to our datathon partners Climate Change AI, US Environmental Protection Agency (EPA), and MIT Critical Data.
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  • Home
  • About
    • Blog
    • WiDStory
    • News
    • Research
    • Sponsors
    • Collaborators
    • Contact
    • Donate
  • Conferences
    • WiDS Stanford 2023 Agenda
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    • WiDS Regional Events 2023
    • Ambassadors 2023 >
      • Ambassador Advisory Council
    • WiDS Ambassador Program
    • Past Conferences >
      • WiDS 2022
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      • WiDS 2020
      • WiDS 2019
      • WiDS 2018
      • WiDS 2017
      • WiDS 2015
    • Conference Committee
  • Datathon
    • Datathon Details
    • Datathon Resources >
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    • WiDS Datathon Workshops 2023
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  • Podcast
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  • Education
    • Workshops >
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    • Next Gen >
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