Climate Change AI

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Financial Vulnerability Assessment (Tuckman-Chang)

4 risk indicators measuring financial stability and operational resilience

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Financial Trends

Organization Details

Formation Year

2019

Legal Domicile

Principal Officer

priya l donti

Tax Period

2023-01-01 to 2023-12-31

Climate Change AI, founded in 2019, is a community nonprofit in the Environment sector that reported $1.1M in total revenue in fiscal year 2023. The organization ran a surplus of $685K, a strong 60% operating margin.

Mission

To catalyze impactful work at the intersection of climate change and machine learning

Program Service Accomplishments

Program 1

Expenses: $123,635

The Climate Change AI Summer School is designed to educate and prepare participants with a background in artificial intelligence AI and/or a background in a climate change-related field to tackle...

The Climate Change AI Summer School is designed to educate and prepare participants with a background in artificial intelligence AI and/or a background in a climate change-related field to tackle major climate problems using AI. Our 2023 session consisted of two independent components an open-to-all virtual program which was held between June-August 2023 and drew 10K registered participants and a selective in-person program which was held from August 14-18, 2023 in Montreal, Canada and hosted 30 participants. Courses were conducted by members of Climate Change AI and world-renowned experts in AI and climate change.

Program 2

Expenses: $75,177

Artificial intelligence AI and machine learning ML offer a powerful suite of tools to accelerate climate change mitigation and adaptation across different sectors. However, the lack of high-quality, easily accessible, and standardized data often hinders the impactful use of AI/ML for climate change applications. In this project, Climate Change AI aims to identify and catalog critical data gaps that impede AI/ML applications in addressing climate change, and lay out pathways for filling these gaps. In particular, we identify candidate improvements to existing datasets, as well as wishes for new datasets whose creation would enable specific ML-for-climate use cases. An initial catalog of data gaps has been published on our website. We hope that researchers, practitioners, data providers, funders, policymakers, and others will join the effort to address these critical data gaps.

Program 3

Expenses: $17,133

CCAIs conferences and events promote education, networking, and knowledge-sharing. In 2023, we organized one-day workshops at top AI and machine learning venues ICLR, AAAI Fall Symposium, and NeurIPS to facilitate discussion and exchange on topics at the intersection of AI and climate change. These workshops drew several hundreds of participants, and collectively featured over 200 accepted research papers.

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Trantor Score

Financial Health Score (300–850) · Liquidity · Solvency · Sustainability · Efficiency

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Liquidity (40%) • Solvency (30%) • Sustainability (20%) • Efficiency (10%)

Financial Overview (2023)

Revenue Breakdown

Contributions & Grants $1,133,986

Program Service Revenue $0

Investment Income $0

Other Revenue $668

TOTAL REVENUE $1,134,654

Expense Breakdown

Grants Paid $0

Salaries & Benefits $250,567

Fundraising Expenses $0

Program Expenses $215,945

Other Expenses $198,632

TOTAL EXPENSES $449,199

Year-over-Year Comparison

	2023	2022	Change
Revenue	$1,134,654	N/A	N/A
Expenses	$449,199	N/A	N/A
Net Income	$685,455	N/A	N/A

Key Indicators

✗ Grants to Organizations ✗ Grants to Individuals ✗ Lobbying ✗ Political Activity ✗ Foreign Activities ✗ Donor Advised Fund ✗ Schedule B Required

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Financial Health Indicators

Comprehensive financial analysis: Altman Z-Score, liquidity, solvency, sustainability, efficiency, and growth metrics

Financial Distress Indicator

Liquidity & Cash Position

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Altman Z-Score • Liquidity Ratios • Solvency Analysis • Growth Indicators • Efficiency Metrics

Governance

Voting Members

Independent Members

Employees

Volunteers

Governance Policies

✗ Conflict of Interest Policy

✗ Whistleblower Policy

✗ Document Retention Policy

Special Practices & Reported Activities

✗ Operated a School

✗ Operated a Hospital

✗ Provided First Class Travel

✗ Reported Conflict of Interest

✗ Reported Asset Diversion

✗ Excess Benefit Transaction

✗ Made Political Expenditures

✗ Engaged in Lobbying

✗ Operated Donor Advised Fund

✗ Maintained Art Collections

✗ Filed Form 720

Compensation of Officers, Directors & Key Employees

Total Officers

Total Directors

Key Employees

$80,000

Highest Compensated

reported

Name	Title	Hours/Week	Role	Reportable Comp	Other Comp	Total
Maria Joo Sousa	Executive Director	040.00	Key Emp	$0	$0	$80,000
Priya Donti	CCAI Chair	010.00	Officer Director	$0	$0	$0
David Rolnick	CCAI Chair	010.00	Officer Director	$0	$0	$0
Lynn Kaack	CCAI Chair	010.00	Officer Director	$0	$0	$0
Mark Roth	Programs Chair	005.00	Director	$0	$0	$0
Rasika Bhalerao	Communications Chair	005.00	Director	$0	$0	$0
Shiva Madadkhani	Borad Member	005.00	Director	$0	$0	$0

Note: Compensation data is self-reported by the organization on their Form 990. "Reportable Comp" includes salary, bonuses, and other reportable compensation from the organization and related organizations. "Other Comp" includes benefits, deferred compensation, and non-taxable benefits.

Historical Data

Year	Revenue	Expenses	Assets	Net Income
2024	No data	No data	No data	No data
2023	$1,134,654	$449,199	$731,024	$685,455