Nonprofit · EIN 84-2365060
LEARNING AGENCY LAB
Tax-exempt · TEMPE, AZ 85282
Financials
| Year ended | Form | Revenue | Expenses | Net income | Total assets | Liabilities | Net assets |
|---|---|---|---|---|---|---|---|
| December 31, 2024 | 990 | $810,580 | $864,599 | -$54,019 | $2,438,681 | $885,749 | $1,552,932 |
| December 31, 2023 | 990 | $1,150,141 | $1,286,492 | -$136,351 | $2,814,970 | $1,208,019 | $1,606,951 |
Financial details: 990 for the year ended December 31, 2024
Revenue
- Contributions, gifts and grants
- $687,992
- Program service revenue
- $47,847
- Investment income
- $74,101
- Other revenue
- $640
Expenses
- Grants and similar amounts paid
- $332,028
- Compensation of officers, directors and key employees
- $11,500
- Other salaries and wages
- $76,920
- Salaries, compensation and benefits (total)
- $120,140
- Professional fundraising fees
- $0
- Legal fees
- $808
- Accounting fees
- $26,700
- Program services (functional)
- $795,343
- Management and general (functional)
- $69,256
Balance sheet and other
- Total assets, start of year
- $2,814,970
- Total assets, end of year
- $2,438,681
- Total liabilities, end of year
- $885,749
- Net assets, end of year
- $1,552,932
- Net assets without donor restrictions
- $533,656
- Net assets with donor restrictions
- $1,019,276
- Gross receipts
- $810,580
- Employees
- 7
- Volunteers
- 3
- Year formed
- 2019
- State of legal domicile
- AZ
From the e-filed returns the IRS publishes as XML (latest three processing years; amended returns replace the original). PDF copies at the IRS.
Officers, directors and key employees
As listed on the 990 for the year ended December 31, 2024, highest compensation first.
| Name | Title | Hours / week | Compensation |
|---|---|---|---|
| Ulrich Boser | Board Chair/CEO Trustee or director, Officer | 20 | $11,500 |
| Kenneth Stern | President Trustee or director, Officer | 1 | $0 |
| David Domenici | Treasurer Trustee or director, Officer | 1 | $0 |
| Gabriela Lopez | Director Trustee or director | 1 | $0 |
990 for the year ended December 31, 2023: 5 people
| Name | Title | Hours / week | Compensation | Other / benefits |
|---|---|---|---|---|
| Perpetual Baffour | Data Scientist | 40 | $105,553 | $11,334 |
| Ulrich Boser | CEO Trustee or director, Officer | 20 | $84,992 | $14,179 |
| Kenneth Stern | President Trustee or director, Officer | 1 | $0 | $0 |
| David Domenici | Treasurer Trustee or director, Officer | 1 | $0 | $0 |
| Gabriela Lopez | Director Trustee or director | 1 | $0 | $0 |
Address and contacts
- Address (IRS master file)
- 2307 S RURAL RD, TEMPE, AZ 85282-2424
- In care of
- % ULRICH BOSER
- Principal officer (990 for 2024)
- Ulrich Boser, 2307 S Rural Road, Tempe, AZ 85282
- Signed the 990
- Ulrich Boser, CEO
- Phone
- (202) 713-5854
- Website
- the-learning-agency-lab.com
- Return prepared by
- Iryna AC
Mission
The learning agency lab seeks to improve the effectiveness of k-16 education, especially for historically marginalized populations, by creating free or at-cost resources that are aligned to the science of learning.
Program accomplishments
- In the 2024 fiscal year, The Learning Agency Lab further expanded its efforts to advance educational technology through data-driven research, collaborative competitions, and open-access resources. Over the course of the year, the Lab completed four major competitions in the Open Data Assessment Fund (ODAF) series, each designed to develop state-of-the-art algorithmic solutions that improve teaching, assessment, and data privacy in education. These competitions not only engaged a global community of data scientists and researchers but also generated open-source tools that can be applied in real-world classroom and research settings.The Linking Writing Processes to Writing Quality competition explored how students plan, revise, and manage their time during writing. By analyzing detailed keystroke logs from thousands of student essays, participants developed models capable of predicting overall writing quality from process-level features. This work provided new insights into the underlying cognitive and behavioral aspects of writing, offering potential for more personalized and actionable feedback for students and educators.The Human vs. AI Detection in Essay Writing competition addressed the growing challenge of distinguishing AI-generated text from human-written work. Using a dataset of student and AI-generated essays, competitors developed models that could reliably identify AI-generated content. These models support academic integrity and provide educators with tools to navigate the rapidly evolving landscape of digital writing while promoting authentic student work.ASAP 2.0 revisited automated essay scoring with updated datasets and contemporary machine-learning approaches. Competitors created models that accurately scored student essays while minimizing bias, reducing teacher workload, and enabling faster and more equitable feedback for students across diverse educational settings. This work supports scalable assessment practices that can improve student outcomes while maintaining fairness and reliability.Finally, the Personally Identifiable Information Identification competition focused on improving the safety and accessibility of educational data. Participants developed models to accurately detect and label sensitive information in student-written text, ensuring privacy protections while enabling the sharing and use of high-quality datasets for research and educational purposes. This work contributes to safer, more usable educational data resources for the broader research community.Across all four competitions, The Learning Agency Lab engaged thousands of participants worldwide, producing open-source, high-performing models that advance teaching, assessment, and data privacy in education. In addition to developing these tools, the Lab has continued to build partnerships with educational vendors to encourage the adoption of the algorithms created through the competitions. The Lab also continues to update the Learning Exchange platform, making the datasets, models, and related resources widely accessible to support ongoing research, innovation, and equitable educational practices.Expenses $795,343 · grants $332,028 · revenue $47,847
What it must file and when
IRS records say it files Form 990 or 990-EZ. Based on its last return; a smaller organization may file the 990-N. Its accounting year ends in December, so each return is due on the 15th day of the 5th month after that.
| Tax year | Year ended | Due | IRS public records |
|---|---|---|---|
| 2025 | December 31, 2025 | May 15, 2026 | Not on file |
| 2024 | December 31, 2024 | May 15, 2025 | 990 on file |
| 2023 | December 31, 2023 | May 15, 2024 | 990 on file |
IRS record
- EIN
- 84-2365060
- Tax-exempt status
- 501(c)(3): Charitable, religious, educational or scientific organization
- Foundation status
- Publicly supported organization (170(b)(1)(A)(vi))
- Donations deductible (Pub 78)
- Public charity, 50% deduction limit
- Exempt since
- 2020
- Accounting year ends
- December
- Files
- Form 990 or 990-EZ
- Category (NTEE)
- Education (B90)
- Assets (IRS master file)
- $2,438,681
- Income (IRS master file)
- $810,580
Filing history
| Form | Year ended | Revenue | Expenses | Assets | Return |
|---|---|---|---|---|---|
| 990 | December 2024 | $810,580 | $864,599 | $2,438,681 | XML |
| 990 | December 2023 | $1,150,141 | $1,286,492 | $2,814,970 | XML |
| 990 | December 2022 | $1,601,616 | $1,276,616 | $2,225,913 | IRS |
| 990 | December 2021 | – | – | – | IRS |
| 990 | December 2020 | – | – | – | IRS |
990-N: the IRS bulk file holds only the latest e-Postcard per organization; earlier years come from archived copies of that file since 2020 and can have gaps (the IRS e-Postcard search lists every one). 990, 990-EZ, 990-PF, 990-T: every e-filed return in the IRS e-file index since 2019; XML for the latest three processing years, amounts from the IRS Statistics of Income extracts before that. PDF copies and determination letters at the IRS (search EIN 84-2365060).
Questions about LEARNING AGENCY LAB
- What is the EIN of LEARNING AGENCY LAB?
- The employer identification number (EIN) of LEARNING AGENCY LAB is 84-2365060.
- Is LEARNING AGENCY LAB tax-exempt?
- Yes. The IRS lists it as tax-exempt under section 501(c)(3) since 2020.
- Are donations to LEARNING AGENCY LAB tax-deductible?
- Yes. It is listed in IRS Publication 78 (Public charity, 50% deduction limit).
- Which annual return does LEARNING AGENCY LAB file?
- Form 990 or 990-EZ. Based on its last return; a smaller organization may file the 990-N.
- When is the next return of LEARNING AGENCY LAB due?
- The return for tax year 2025 (the year ending December 31, 2025) is due May 15, 2026. Form 8868 extends it by six months; the 990-N cannot be extended.
- When did LEARNING AGENCY LAB last file with the IRS?
- The latest return in the IRS public files is the 990 for the year ended December 2024.
- Who is the principal officer of LEARNING AGENCY LAB?
- The 990 for the year ended December 31, 2024 names Ulrich Boser.
- Who are the officers and directors of LEARNING AGENCY LAB?
- The 990 for the year ended December 31, 2024 lists 4 people; 1 received compensation from the organization, the highest $11,500 (Ulrich Boser, Board Chair/CEO).
- How much revenue does LEARNING AGENCY LAB have?
- On its 990 for the year ended December 31, 2024 it reported revenue of $810,580, expenses of $864,599 and total assets of $2,438,681 at year end.
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