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Call for Code

How can generative AI technology improve equitable access to essential resources and opportunities for all people?

Basic necessities like clean water and safe, affordable housing, or opportunities in education and fair government representation are not equally accessible to all people. Climate change exacerbates the challenges that many people but especially women and historically underserved communities face as resources are strained and climate change protections are often inadequate. Generative AI has great potential to address these issues and reduce inequality, improving people’s lives.

Be a part of a new era in responsible AI. For the 2024 Call for Code Global Challenge, we’re calling on students, developers, and problem-solvers from universities and companies around the world to build innovative AI tech solutions with IBM watsonx that address specific challenges of equitable access to essential needs. Help show the world that AI can be trusted and used responsibly.

Teams of 1-5 people can compete for the following prizes:

Grand prize

$50,000 USD
Option for solution implementation support from the Call for Code ecosystem
Opportunity for open source support from The Linux Foundation

First runner-up

$25,000 USD
Opportunity for open source support from The Linux Foundation

Second runner-up

$10,000 USD
Opportunity for open source support from The Linux Foundation
University grant
$30,000 USD
total to the top scoring university team’s school(s)

Any university students in the top 3 winning teams are also eligible for:

  • Exploration of IBM job opportunities
  • Option to be matched with an IBM mentor

​​In addition to prizes, participants can grow their AI, cloud, and other emerging tech skills through access to expert technical mentors, training resources, and events.

See the 2024 Call for Code Global Challenge Participation Agreement when you register for more details.
Register for the challenge: https://www.ibm.com/account/reg/us-en/signup?formid=urx-52643

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Christina Certo

Christina Certo

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