Civic Intelligence

Chalearn

990EZ • Fiscal year 2023 • EIN 45-3085009

Jan 01, 2023 to Dec 31, 2023 • Filed on Mar 16, 2024

2443 Fillmore St / PMB 380-6329San Francisco, CA 94115-1814

(510) 329-2527

Siviq Scores

Precomputed percentiles for this filing year versus similar nonprofits in the same peer cohort.

Liabilities / Assets

58th percentile

0.00x

Tied with the lowest-debt nonprofits in its peer group.

2023 filings • 501(c)3 • <$500k nonprofits • Source year 2023

Liabilities / Revenue

59th percentile

0.00x

Tied with the lowest-debt nonprofits in its peer group.

2023 filings • 501(c)3 • <$500k nonprofits • Source year 2023

Net Margin

51st percentile

3.5%

Higher net margin than 51% of similar nonprofits.

2023 filings • 501(c)3 • <$500k nonprofits • Source year 2023

Top Officer Pay

78th percentile

$0

Higher top officer pay than 78% of similar nonprofits.

Top officer pay equals 0.0% of source-year revenue.

2023 filings • 501(c)3 • <$500k nonprofits • Source year 2023

Asset Growth

62nd percentile

8.6%

Faster asset growth than 62% of similar nonprofits.

2023 filings • 501(c)3 • <$500k nonprofits • Annualized from 2022 to 2023

Revenue Growth

99th percentile

3695%

Faster revenue growth than 99% of similar nonprofits.

2023 filings • 501(c)3 • <$500k nonprofits • Annualized from 2022 to 2023

Assets

Up

$84,139

Up $6,648 (+8.6%) from 2022

Net Assets

Up

$84,139

Up $6,648 (+8.6%) from 2022

Liabilities

Flat

$0

Flat from 2022

Revenue

Up

$189,000

Up $184,020 (+3695%) from 2022

Expenses

Up

$182,352

Up $118,165 (+184%) from 2022

Net Income

Up

$6,648

Up $65,855 (+111%) from 2022

Historical Trend

Balance Sheet Trend

The highlighted filing sits inside the broader history for assets, liabilities, and net assets.

$200K$150K$100K$50K$0Assets 2012: $4,013Liabilities 2012: $02012Assets 2013: $32,564Liabilities 2013: $02013Assets 2014: $101,315Liabilities 2014: $02014Assets 2015: $81,118Liabilities 2015: $02015Assets 2016: $45,954Liabilities 2016: $02016Assets 2017: $90,585Liabilities 2017: $02017Assets 2018: $91,725Liabilities 2018: $02018Assets 2019: $149,155Liabilities 2019: $02019Assets 2020: $173,106Liabilities 2020: $02020Assets 2021: $134,139Liabilities 2021: $0Net Assets 2021: $134,1392021Assets 2022: $77,491Liabilities 2022: $0Net Assets 2022: $77,4912022Assets 2023: $84,139Liabilities 2023: $0Net Assets 2023: $84,1392023Assets 2024: $112,731Liabilities 2024: $0Net Assets 2024: $112,7312024

Highlighted filing

2023

Assets$84,139
Liabilities$0
Net Assets$84,139

Operations Trend

Revenue, expenses, and net income across loaded years, with this filing highlighted.

$200K$100K$0-$100KRevenue 2012: $87,568Expenses 2012: $83,555Net Income 2012: $4,0132012Revenue 2013: $67,522Expenses 2013: $39,795Net Income 2013: $27,7272013Revenue 2014: $88,578Expenses 2014: $19,827Net Income 2014: $68,7512014Revenue 2015: $11,511Expenses 2015: $31,708Net Income 2015: -$20,1972015Revenue 2016: $7,126Expenses 2016: $42,291Net Income 2016: -$35,1652016Revenue 2017: $91,537Expenses 2017: $46,906Net Income 2017: $44,6312017Revenue 2018: $75,700Expenses 2018: $74,559Net Income 2018: $1,1412018Revenue 2019: $125,093Expenses 2019: $67,662Net Income 2019: $57,4312019Revenue 2020: $111,217Expenses 2020: $87,265Net Income 2020: $23,9522020Revenue 2021: $13,485Expenses 2021: $52,453Net Income 2021: -$38,9682021Revenue 2022: $4,980Expenses 2022: $64,187Net Income 2022: -$59,2072022Revenue 2023: $189,000Expenses 2023: $182,352Net Income 2023: $6,6482023Revenue 2024: $192,000Expenses 2024: $163,408Net Income 2024: $28,5922024

Highlighted filing

2023

Revenue$189,000
Expenses$182,352
Net Income$6,648
Jump To
Filing Snapshot
Filing Period
Jan 1, 2023 to Dec 31, 2023
Signed
Mar 16, 2024
Return Version
2023v5.0
Gross Receipts
$189,000
Mission and Program Overview

Mission

Educate the public with scientific competitions and related events

Program Services

DescriptionGrantsExpenses
FAIR UNIVERSE: This is a new program in collaboration with Lawrence Berkeley Labs: https://fair-universe.lbl.gov/. The collaboration is building a large-compute-scale AI platform for the hosting of large scientific datasets, models, and machine learning competitions to drive forward discoveries in high energy physics and cosmology. The initial focus is on discovering and minimizing systematic uncertainties in High Energy Physics through a sequence of challenges that will bring together researchers across physics and machine learning. ChaLearn sponsors a PhD student and a freelance engineer.$133,287$25,000
MEDICHAL: This program organizes student challenges to educate them in health informatics. This year we sponsored interns to advance the problem of bias and fairness in medical data analysis. Several papers were published, including https://dl.acm.org/doi/pdf/10.1145/3600211.3604713, and a dataset called meta-album was released and published: https://github.com/ihsaan-ullah/meta-album.$0$12,966
CODALAB COMPETITIONS: This program sponsors the development of competition platforms. This year, we continued consolidating new benchmark platform codabench.org. Codalab competitions has been featured FIRST in a blog, before Kaggle and Tianchi: https://mlcontests.com/state-of-competitive-machine-learning-2023. The code is open-sourced: https://github.com/codalab/codalab-competitions/issues. We are editing a book on challenged and benchmarks: https://sites.google.com/chalearn.org/book/home. We delivered a tutorial at the NeurIPS conference: https://docs.google.com/presentation/d/1vjiRkXCiRHLLWDE-ily6Y08Hd6PXpPhd3850BT1VY-U/edit#slide=id.g2636d721a33_0_0. The paper we published on Codalab in JMLR https://www.jmlr.org/papers/volume24/21-1436/21-1436.pdf has already over 100 citations.$0$4,291
AUTODL and METALEARN: The AutoDL https://autodl.chalearn.org/ and MetaLearn https://metalearning.chalearn.org/ challenges aim at pushing the state-of-the-art in automated machine learning, leveraging the knowledge of previous tasks (meta learning). We paid remaining prizes of challenges organized in 2022. Other miscellaneous expenses supporting the program: Bank fees 50.00.$2,743$50
LAP PROGRAM: The Looking at People (LAP) challenge seres in computer vision is organized in collaboration with Universitat Barcelona https://chalearnlap.cvc.uab.cat/. This year we sponsored the Face anti-spoofing, CVPR 2023 https://sites.google.com/view/face-anti-spoofing-challenge/welcome/challengecvpr2023 challenge.$1,510$2,505
Compensation and Service Providers

Employees

NameTitleFull / Part TimeBaseOtherTotal
Kristin BennettTreasurer, Director-$0--
Wei-Wei TuSecretary, Director-$0--
Sergio EscaleraVice-President, Director-$0--
Isabelle GuyonPresident-$0--
Hugo-Jair Escalante BalderasDirector-$0--
Anne-Catherine LetournelDirector-$0--
Antoine MarotDirector-$0--
Magali RichardDirector-$0--
David RousseauDirector-$0--
Sebastien TreguerDirector-$0--
Jun WanDirector-$0--
Filing and Contact Details

Filer

Filer Name
Chalearn
EIN
45-3085009
Phone
5103292527
Address
2443 Fillmore St / PMB 380-6329, San Francisco, CA 94115-1814

Signing Officer

Name
Isabelle Guyon
Title
President
Phone
5103292527
Signed
2024-03-16
Supplemental Narrative

Additional Explanations

Form 990-EZ, Part I, Line 10

We paid $1510 in prizes for the LAP challenge program, $2743 in prizes to the MetaDL program, and made a gift of $133287 to Université Paris-Saclay to support the thesis of a PhD student working on the Fair Universe program.

Form 990-EZ, Part I, Line 16

Cloud services 4,291; Travel expenses 2,504.99; Bank fees 50

Raw XML Appendix257 raw XML fields

This appendix keeps the raw XML leaves available for debugging and edge-case review. The human report above is the primary experience.

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IRS990EZ/ProgramSrvcAccomplishmentGrp/DescriptionProgramSrvcAccomTxt0CODALAB COMPETITIONS: This program sponsors the development of competition platforms. This year, we continued consolidating new benchmark platform codabench.org. Codalab competitions has been featured FIRST in a blog, before Kaggle and Tianchi: https://mlcontests.com/state-of-competitive-machine-learning-2023. The code is open-sourced: https://github.com/codalab/codalab-competitions/issues. We are editing a book on challenged and benchmarks: https://sites.google.com/chalearn.org/book/home. We delivered a tutorial at the NeurIPS conference: https://docs.google.com/presentation/d/1vjiRkXCiRHLLWDE-ily6Y08Hd6PXpPhd3850BT1VY-U/edit#slide=id.g2636d721a33_0_0. The paper we published on Codalab in JMLR https://www.jmlr.org/papers/volume24/21-1436/21-1436.pdf has already over 100 citations.
IRS990EZ/ProgramSrvcAccomplishmentGrp/DescriptionProgramSrvcAccomTxt1LAP PROGRAM: The Looking at People (LAP) challenge seres in computer vision is organized in collaboration with Universitat Barcelona https://chalearnlap.cvc.uab.cat/. This year we sponsored the Face anti-spoofing, CVPR 2023 https://sites.google.com/view/face-anti-spoofing-challenge/welcome/challengecvpr2023 challenge.
IRS990EZ/ProgramSrvcAccomplishmentGrp/DescriptionProgramSrvcAccomTxt2FAIR UNIVERSE: This is a new program in collaboration with Lawrence Berkeley Labs: https://fair-universe.lbl.gov/. The collaboration is building a large-compute-scale AI platform for the hosting of large scientific datasets, models, and machine learning competitions to drive forward discoveries in high energy physics and cosmology. The initial focus is on discovering and minimizing systematic uncertainties in High Energy Physics through a sequence of challenges that will bring together researchers across physics and machine learning. ChaLearn sponsors a PhD student and a freelance engineer.
IRS990EZ/ProgramSrvcAccomplishmentGrp/DescriptionProgramSrvcAccomTxt3MEDICHAL: This program organizes student challenges to educate them in health informatics. This year we sponsored interns to advance the problem of bias and fairness in medical data analysis. Several papers were published, including https://dl.acm.org/doi/pdf/10.1145/3600211.3604713, and a dataset called meta-album was released and published: https://github.com/ihsaan-ullah/meta-album.
IRS990EZ/ProgramSrvcAccomplishmentGrp/DescriptionProgramSrvcAccomTxt4AUTODL and METALEARN: The AutoDL https://autodl.chalearn.org/ and MetaLearn https://metalearning.chalearn.org/ challenges aim at pushing the state-of-the-art in automated machine learning, leveraging the knowledge of previous tasks (meta learning). We paid remaining prizes of challenges organized in 2022. Other miscellaneous expenses supporting the program: Bank fees 50.00.
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IRS990ScheduleA/UnrelatedBusinessNetIncm170Grp/TotalAmt00
IRS990ScheduleB/ContributorInformationGrp/ContributorBusinessName/BusinessNameLine10RESTRICTED
IRS990ScheduleB/ContributorInformationGrp/ContributorNum0RESTRICTED
IRS990ScheduleB/ContributorInformationGrp/ContributorUSAddress/AddressLine10RESTRICTED
IRS990ScheduleB/ContributorInformationGrp/ContributorUSAddress/AddressLine20RESTRICTED
IRS990ScheduleB/ContributorInformationGrp/ContributorUSAddress/City0RESTRICTED
IRS990ScheduleB/ContributorInformationGrp/ContributorUSAddress/State0RESTRICTED
IRS990ScheduleB/ContributorInformationGrp/ContributorUSAddress/ZIPCode0RESTRICTED
IRS990ScheduleB/ContributorInformationGrp/TotalContributionsAmt0RESTRICTED
IRS990ScheduleO/SupplementalInformationDetail/ExplanationTxt0We paid $1510 in prizes for the LAP challenge program, $2743 in prizes to the MetaDL program, and made a gift of $133287 to Université Paris-Saclay to support the thesis of a PhD student working on the Fair Universe program.
IRS990ScheduleO/SupplementalInformationDetail/ExplanationTxt1Cloud services 4,291; Travel expenses 2,504.99; Bank fees 50
IRS990ScheduleO/SupplementalInformationDetail/FormAndLineReferenceDesc0Form 990-EZ, Part I, Line 10
IRS990ScheduleO/SupplementalInformationDetail/FormAndLineReferenceDesc1Form 990-EZ, Part I, Line 16
ReturnHeader/AdditionalFilerInformation/TrustedCustomerGrp/AuthenticationAssuranceLevelCd0AAL2
ReturnHeader/AdditionalFilerInformation/TrustedCustomerGrp/LastSubmissionRqrOOBCd01
ReturnHeader/AdditionalFilerInformation/TrustedCustomerGrp/OOBSecurityVerificationCd011
ReturnHeader/AdditionalFilerInformation/TrustedCustomerGrp/TrustedCustomerCd01
ReturnHeader/BuildTS02023-04-26 12:10:37Z
ReturnHeader/BusinessOfficerGrp/PersonNm0Isabelle Guyon
ReturnHeader/BusinessOfficerGrp/PersonTitleTxt0President
ReturnHeader/BusinessOfficerGrp/PhoneNum05103292527
ReturnHeader/BusinessOfficerGrp/SignatureDt02024-03-16
ReturnHeader/Filer/BusinessName/BusinessNameLine1Txt0CHALEARN
ReturnHeader/Filer/BusinessNameControlTxt0CHAL
ReturnHeader/Filer/EIN0453085009
ReturnHeader/Filer/PhoneNum05103292527
ReturnHeader/Filer/USAddress/AddressLine1Txt02443 Fillmore St / PMB 380-6329
ReturnHeader/Filer/USAddress/CityNm0San Francisco
ReturnHeader/Filer/USAddress/StateAbbreviationCd0CA
ReturnHeader/Filer/USAddress/ZIPCd0941151814
ReturnHeader/IRSResponsiblePrtyInfoCurrInd01
ReturnHeader/ReturnTs02024-05-04T23:05:27-07:00
ReturnHeader/ReturnTypeCd0990EZ
ReturnHeader/SigningOfficerGrp/PersonFullName/PersonFirstNm0Isabelle
ReturnHeader/SigningOfficerGrp/PersonFullName/PersonLastNm0Guyon
ReturnHeader/TaxPeriodBeginDt02023-01-01
ReturnHeader/TaxPeriodEndDt02023-12-31
ReturnHeader/TaxYr02023

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