AI for Equity Challenge: Round One Proposal Submission Form

AI for Equity Challenge: Round One

In this challenge, organizations are invited to submit proposals for how they intend to use datasets made available through the Amazon Sustainability Data Initiative (ASDI) and other datasets to build AI-powered solutions to challenges at the intersection of climate action, gender, and health. Proposals will be evaluated in terms of sustainability, overall impact, novelty, feasibility, data quality and relevance, and representation.

Two winning proposals will be selected by an expert committee to participate in Round Two of the AI for Equity Challenge: Climate Action, Gender, and Health, where the challenge datasets and proposed AI-powered solution will be packaged for the community to work on in the form of a Zindi challenge. The winning AI solutions from these challenges will belong to you as the winners of Round One, and you will also receive support from AWS and IRCAI in the form of technical support and AWS cloud computing credits.

Check the Full Challenge Rules.

Check the FAQ Page.

TIMELINE FOR ROUND ONE

Submissions open: 23 September 2024
Submissions close: 4 November 2024
Winners announced: 2 December 2024

AWARDS FOR ROUND ONE

The two winning proposals from Round One will be selected as the problem statements for Round Two.

Each winning proposal will receive:

3x winning AI models (outputs of Round Two challenges on Zindi)
$25,000 in AWS credits to develop and deploy potential solutions
Pairing with a team of technical mentors and domain expert researchers from AWS and IRCAI to help develop and deploy solutions

In addition, AWS will award:

A discretionary $2,500 in AWS credits to each of three runners-up
$1,000 in AWS credits to up to 10 additional runner-ups from Round One

HOW TO SUBMIT

Please answer the following questions concisely and honestly. We recognize the usefulness of generative AI tools in completing applications such as this one, and we encourage the use of such tools to make this application accessible to the broadest possible audience. However, the judging committee will reward creativity and original thinking in evaluating submissions.

JUDGING CRITERIA

Sustainability impact + implementation feasibility
Addressing data gaps
Need novelty
Scale and scalability
Dataset quality and relevance
Team
Minimum requirements met
Mitigating bias

For the full AI for Equity Challenge rules, please see the Challenge page at Zindi.

"*" indicates required fields

1. Applicant Information

Applicant*

Please write your name.

Title First Name Middle Last Name

Applicant location

Street Address Address Line 2 City State / Province / Region ZIP / Postal Code Country

Professional profile*

LinkedIn, Research Gate or similar

Business Email Address*

Names, locations, and professional profile links (LinkedIn, ResearchGate or similar) of key team members*

Partner organisation(s) and communities*

List the partners that will be involved in the proposal.

2. Organisational Information

Submitting Org name*

Please indicate the name of the legal entity submitting the proposal.

Submitting Org info/category*

Please indicate which type of legal entity the company belongs.

Submitting organisation’s website*

Please indicate the main website of the organisation.

Submitting organisation’s annual operating budget in 2024*

Please indicate the budget your organisation operates.

3. Proposal Idea

Please explain the solution you want to build*

Please explain why this solution is needed and how it will impact issues at the intersection of Climate Action, Health and Gender equity*

Please explain the group or groups affected by this solution and its potential outcomes.*

Briefly describe the role of co-creation with the target community or user group in your solution. Describe your strategies to keep the target community involved or consulted throughout the project implementation lifecycle.

Please provide more detail on the data, AI, and technical considerations involved in solving this challenge.*

You may upload a single image or diagram in PDF format; including a technical diagram and specific AWS services you intend to leverage will count in your favour.

Please identify one or more ASDI datasets that would be used in this solution and explain how you anticipate using them in your solution.*

Does your proposal include using datasets other than what you plan to use from ASDI?*

If so, please include information about where the data was sourced. By submitting your application, you are confirming that you have written permission or an appropriate license to use the data in this Challenge.

Can you provide a specific example of an AI solution your organization has implemented with demonstrated impact of potential for scalability?*

If you have not used AI in prior solutions, what is your plan to maintain the model after the Challenge?

What sources of bias is this proposal subject to? What mitigation strategies will be employed to combat bias and generate more equitable outcomes?*

We understand that bias is impossible to remove entirely, but we kindly ask you to think about this item.

How will you measure impact?*

Please propose 2-3 indicators to measure impact and success of this solution when implemented

4. ChatGPT Disclaimer

The concepts and creative thinking involved in this proposal were primarily the work of the abovementioned team members*

Yes

Generative AI tools (ChatGPT or similar) were used in submitting this proposal:*

Yes

5. Dataset

In order for us to evaluate the suitability of your proposal for a machine learning application, please upload a sample dataset in .csv or .xlsx format, as well as a data glossary in .txt, .docx or .pdf format. The sample dataset should include a few rows of data, demonstrating all features of the data. The data glossary should provide enough information about each feature for us to evaluate its usability for machine learning modelling.

File

Max. file size: 32 MB.

Phone

This field is for validation purposes and should be left unchanged.

CONTACT

International Research Centre
on Artificial Intelligence (IRCAI)
under the auspices of UNESCO

Jožef Stefan Institute
Jamova cesta 39
SI-1000 Ljubljana

info@ircai.org
ircai.org

The designations employed and the presentation of material throughout this website do not imply the expression of any opinion whatsoever on the part of UNESCO concerning the legal status of any country, territory, city or area of its authorities, or concerning the delimitation of its frontiers or boundaries.

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