Civic Intelligence

Association for Computational Learning

990EZ • Fiscal year 2015 • EIN 36-4385754

Jan 01, 2015 to Dec 31, 2015 • Filed on May 09, 2016

2003 Edgewood DrivePalo Alto, CA 94303

(650) 852-9522

Siviq Scores

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

Liabilities / Assets

55th percentile

0.00x

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

2015 filings • 501(c)3 • <$500k nonprofits • Source year 2015

Liabilities / Revenue

55th percentile

0.00x

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

2015 filings • 501(c)3 • <$500k nonprofits • Source year 2015

Net Margin

28th percentile

-6.1%

Higher net margin than 28% of similar nonprofits.

2015 filings • 501(c)3 • <$500k nonprofits • Source year 2015

Top Officer Pay

75th percentile

$0

Higher top officer pay than 75% of similar nonprofits.

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

2015 filings • 501(c)3 • <$500k nonprofits • Source year 2015

Asset Growth

45th percentile

-0.4%

Faster asset growth than 45% of similar nonprofits.

2015 filings • 501(c)3 • <$500k nonprofits • Annualized from 2014 to 2015

Revenue Growth

3rd percentile

-88%

Faster revenue growth than 3% of similar nonprofits.

2015 filings • 501(c)3 • <$500k nonprofits • Annualized from 2014 to 2015

Assets

Down

$72,609

Down $306 (-0.4%) from 2014

Net Assets

Down

$72,609

Down $306 (-0.4%) from 2014

Liabilities

Flat

$0

Flat from 2014

Revenue

Down

$5,031

Down $38,008 (-88%) from 2014

Expenses

Down

$5,338

Down $32,786 (-86%) from 2014

Net Income

Down

-$307

Down $5,222 (-106%) from 2014

Historical Trend

Balance Sheet Trend

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

$200K$150K$100K$50K$0Assets 2013: $73,000Liabilities 2013: $5,000Net Assets 2013: $68,0002013Assets 2014: $72,915Liabilities 2014: $0Net Assets 2014: $72,9152014Assets 2015: $72,609Liabilities 2015: $0Net Assets 2015: $72,6092015Assets 2016: $72,173Liabilities 2016: $0Net Assets 2016: $72,1732016Assets 2017: $80,458Liabilities 2017: $0Net Assets 2017: $80,4582017Assets 2018: $89,715Liabilities 2018: $0Net Assets 2018: $89,7152018Assets 2019: $133,250Liabilities 2019: $0Net Assets 2019: $133,2502019Assets 2020: $189,939Liabilities 2020: $0Net Assets 2020: $189,9392020Assets 2021: $149,929Liabilities 2021: $0Net Assets 2021: $149,9292021Assets 2022: $73,426Liabilities 2022: $0Net Assets 2022: $73,4262022Assets 2023: $150,392Liabilities 2023: $0Net Assets 2023: $150,3922023Assets 2024: $172,218Liabilities 2024: $0Net Assets 2024: $172,2182024

Highlighted filing

2015

Assets$72,609
Liabilities$0
Net Assets$72,609

Operations Trend

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

$300K$200K$100K$0-$100KRevenue 2013: $54,771Expenses 2013: $52,623Net Income 2013: $2,1482013Revenue 2014: $43,039Expenses 2014: $38,124Net Income 2014: $4,9152014Revenue 2015: $5,031Expenses 2015: $5,338Net Income 2015: -$3072015Revenue 2016: $97,097Expenses 2016: $97,533Net Income 2016: -$4362016Revenue 2017: $16,435Expenses 2017: $8,151Net Income 2017: $8,2842017Revenue 2018: $40,072Expenses 2018: $30,815Net Income 2018: $9,2572018Revenue 2019: $71,761Expenses 2019: $28,226Net Income 2019: $43,5352019Revenue 2020: $68,290Expenses 2020: $11,601Net Income 2020: $56,6892020Revenue 2021: $67,978Expenses 2021: $107,988Net Income 2021: -$40,0102021Revenue 2022: $133,042Expenses 2022: $209,545Net Income 2022: -$76,5032022Revenue 2023: $187,575Expenses 2023: $110,609Net Income 2023: $76,9662023Revenue 2024: $114,957Expenses 2024: $93,131Net Income 2024: $21,8262024

Highlighted filing

2015

Revenue$5,031
Expenses$5,338
Net Income-$307
Jump To
Filing Snapshot
Filing Period
Jan 1, 2015 to Dec 31, 2015
Signed
May 9, 2016
Return Version
2015v2.1
Gross Receipts
$5,031
Mission and Program Overview

Mission

The Association for Computational Learning organizes the Conference on Learning Theory, a conference about the theoretical analysis of machine learning algorithms. Please see http://www.learningtheory.org and http://www.informatik.uni-trier.de/~ley/db/conf/colt/index.html.

Program Services

DescriptionGrantsExpenses
2015 was an unusual year for the Associational for Computational Learning. Because of regulations regarding transfers of funds into and out of the institution which hosted the Conference on Learning Theory, they chose to run COLT'15 largely independently of the Association for Computational Learning. The ACL did continue to maintain the web site, and made payments for EasyChair (the reviewing management software) and the best paper awards.$0$0
Compensation and Service Providers

Employees

NameTitleFull / Part TimeBaseOtherTotal
Peter AuerPresident-$0--
Alexander RakhlinSecretary-$0--
Philip LongTreasurer-$0--
Filing and Contact Details

Filer

Filer Name
Association for Computational Learning
EIN
36-4385754
Phone
6508529522
Address
2003 Edgewood Drive, Palo Alto, CA 94303

Signing Officer

Name
Phil Long
Title
Treasurer
Phone
6508529522
Signed
2016-05-09
Supplemental Narrative

Additional Explanations

Form 990-EZ, Part I, Line 16

Description;Amount^Google Apps;60|Web page expenses;2508|Best paper awards;2000|Legal;198|Bank service charge;3|EasyChair;569^Total;5338^

Form 990-EZ, Part I, Line 20

Rounding accumulation

Raw XML Appendix226 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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Filings