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ML Competitions at the Grassroots (CiML 2020)
Tara Chklovski · Adrienne Mendrik · Amir Banifatemi · Gustavo Stolovitzky

Fri Dec 11 07:00 AM -- 12:30 PM (PST) @ None
Event URL: https://sites.google.com/chalearn.org/ciml/ciml2020?authuser=0 »

For the eighth edition of the CiML (Challenges in Machine Learning) workshop at NeurIPS, our goals are to: 1) Increase diversity in the participant community in order to increase quality of model predictions; 2) Identify and share best practices in building AI capability in vulnerable communities; 3) Celebrate pioneers from these communities who are modeling lifelong learning, curiosity and courage in learning how to use ML to address critical problems in their communities.

The workshop will provide concrete recommendations to the ML community on designing and implementing competitions that are more accessible to a broader public, and more effective in building long-term AI/ML capability.

The workshop will feature keynote speakers from ML, behavioral science and gender and development, interspersed with small group discussions around best practices in implementing ML competitions. We will invite submissions of 2-page extended abstracts on topics relating to machine learning competitions, with a special focus on methods of creating diverse datasets, strategies for addressing behavioral barriers to participation in ML competitions from underrepresented communities, and strategies for measuring the long-term impact of participation in an ML competition.

Fri 7:00 a.m. - 7:15 a.m.
Welcome and Opening Remarks (Introduction)
Fri 7:15 a.m. - 7:45 a.m.
Keynote talk by Isabelle Guyon and Evelyne Viegas - "AI Competitions and the Science Behind Contests" (Speaker)
Isabelle Guyon, Evelyne Viegas
Fri 7:45 a.m. - 8:20 a.m.
Live from the Field Moderated Q&A - “ML competitions as a way to engage and educate the broader public” (featuring families and educators from around the world) (Discussion)
Fri 8:20 a.m. - 9:00 a.m.
Virtual Poster Presentations (Discussion Panel)
Fri 9:00 a.m. - 9:15 a.m.
Coffee Break (Break)
Fri 9:15 a.m. - 9:45 a.m.
Keynote talk by Saugato Datta (Speaker)
Fri 9:45 a.m. - 10:20 a.m.
 link »

Social Norms - What do young people see others around them doing in your community? Identity Threats - What aspects of young people’s identities might participating in coding/ML competitions come into conflict with? Framing - Are there other ways to frame the call to participate in an ML competition? Scarcity - What features of the day-to-day lives of those you find hard to reach might deter their participation? What is the decision to (not) compete really about?

Fri 10:20 a.m. - 10:50 a.m.
Virtual Poster Presentations (Discussion Panel)
Fri 10:50 a.m. - 11:20 a.m.
Keynote talk by Lara Mangravite "Responsible Data Sharing for AI: Expanding who, what and why" (Speaker)   
Sage Mangravite
Fri 11:30 a.m. - 11:50 a.m.
Virtual Poster Presentations (Discussion Panel)
Fri 11:50 a.m. - 12:20 p.m.
Closing Keynote by Aleksandra (Saška) Mojsilović - "Platforms 4 Good: Realizing the potential of AI in addressing societal challenges" (Speaker)
Aleksandra Mojsilovic
Fri 12:20 p.m. - 12:30 p.m.
Closing Remarks from Organizers (Closing)

Author Information

Tara Chklovski (Technovation)

Tara Chklovski is CEO and Founder of global engineering and technology education nonprofit Technovation. Prominently featured in the award-winning documentary Codegirl, Forbes named Chklovski “the pioneer empowering the incredible tech girls of the future” and Discovery Science Channel named her its first “CEO Science Super Star Hero” for her work encouraging the next generation of innovators, problem solvers, and game changers. A frequent advocate for STEM education, she’s presented at the White House STEM Inclusion Summit, SXSW EDU, UNESCO’s Mobile Learning Week, and led the 2019 education track at the UN AI for Good Global Summit. She has an undergraduate degree in Physics and a Masters in Aerospace Engineering.

Adrienne Mendrik (Netherlands eScience Center)
Amir Banifatemi (XPRIZE)
Gustavo Stolovitzky (IBM Research)

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