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Source: IRS Form 990 via ProPublica Nonprofit Explorer
Total Revenue
▼$9.1M
Total Contributions
$8.4M
Total Expenses
▼$13.2M
Total Assets
$7.2M
Total Liabilities
▼$5.8M
Net Assets
$1.4M
Officer Compensation
→$765.6K
Other Salaries
$5.5M
Investment Income
▼$0
Fundraising
▼$0
Source: USAspending.gov · Searched by organization name
Total Federal Funding
$5.5M
Awards Found
10
| Awarding Agency | Description | Amount | Fiscal Year | Period |
|---|---|---|---|---|
| Department of State | TO INCREASE THE CAPACITY OF PARTNER COUNTRIES TO DEVELOP, ADOPT, AND IMPLEMENT LEGAL FRAMEWORKS THAT PROTECT INDIVIDUAL DATA PRIVACY WHILE EDUCATING KEY STAKEHOLDERS AND ENABLING TRUSTED CROSS-BORDER DATA FLOWS AND DIGITAL TRADE. | $3.3M | FY2024 | Sep 2024 – Sep 2027 |
| National Science Foundation | RCN: APPLIED PRIVACY RESEARCH COORDINATION NETWORK: AN INDUSTRY-ACADEMIC NETWORK TO TRANSITION PROMISING PRIVACY RESEARCH TO PRACTICE | $499.4K | FY2018 | Jul 2018 – Jun 2021 |
| National Science Foundation | RESEARCH COORDINATION NETWORK (RCN) FOR PRIVACY PRESERVING DATA SHARING AND ANALYTICS -THE ADVANCE OF INFORMATION TECHNOLOGY, INCLUDING ARTIFICIAL INTELLIGENCE, HAS MADE THE COLLECTION, ANALYSIS, AND USE OF DATA CENTRAL TO RESEARCH AND ECONOMIC ACTIVITY. HOWEVER, WHEN THOSE DATA ARE ABOUT PEOPLE AND WHAT THEY DO, THERE ARE RISKS TO PRIVACY THAT CAN GROW WITH THE SOPHISTICATION OF THE ANALYSIS. IN RESPONSE, THE FUTURE OF PRIVACY FORUM EDUCATION AND INNOVATION FOUNDATION (FPF) IS CONVENING A RESEARCH COORDINATION NETWORK (RCN) FOR PRIVACY PRESERVING DATA SHARING AND ANALYTICS. THE RCN IS BRINGING TOGETHER EXPERTS FROM ACADEMIA, INDUSTRY, AND GOVERNMENT TO SUPPORT THE DEVELOPMENT, DEPLOYMENT, AND SCALING OF PRIVACY ENHANCING TECHNOLOGIES (PETS)?TOOLS THAT ALLOW FOR DATA ANALYSIS WITHOUT SACRIFICING PRIVACY. WHILE PETSTHEY CAN MITIGATE RISK, THERE ARE MANY FACTORS HOLDING BACK THESE TECHNOLOGIES? WIDESPREAD USE. ONE OF THE BIGGEST STUMBLING BLOCKS TO THE BROADER ADOPTION OF PETS IN RESEARCH IS THE CURRENT LACK OF CLARITY REGARDING HOW REGULATORS WILL INTERPRET AND ENFORCE PRIVACY RULES WHEN ORGANIZATIONS USE THEM. THE RCN IS WORKING TO RESOLVE THIS ISSUE BY BRINGING STAKEHOLDERS TOGETHER TO DISCUSS THE USE OF PETS AND EXPLORE HOW RULES AND STANDARDS CAN PROMOTE THEIR APPROPRIATE USE. THE PROJECT TEAM IS CONVENING A MULTIDISCIPLINARY, CROSS-SECTOR, AND INTERNATIONAL EXPERT GROUP OF SCHOLARS AND PRACTITIONERS WHO FOCUS ON PETS DEVELOPMENT AND USE TO UNDERSTAND THE RISKS OF DATA SHARING AND ANALYTICS FOR MARGINALIZED AND VULNERABLE GROUPS, ALONG WITH CIVIL RIGHTS AND CIVIL LIBERTIES WRIT LARGE. THIS WORK IS IN DIRECT RESPONSE TO RECOMMENDATIONS FROM THE NATIONAL STRATEGY TO ADVANCE PRIVACY PRESERVING DATA SHARING AND ANALYTICS. FURTHER, THE TEAM IS CONVENING A SECONDARY SUB-NETWORK OF HIGH-LEVEL REGULATORS FROM AROUND THE WORLD THAT WILL INFORM AND RESPOND TO THE PRIMARY NETWORK, ADDRESSING THE LEGAL FRAMEWORKS RELEVANT TO PETS ADOPTION. WITH INPUT FROM BOTH GROUPS, THE PROJECT TEAM IS DEVELOPING AND DISSEMINATING NEW GUIDANCE TO ACCELERATE PROGRESS TOWARD A PRIVACY-PRESERVING DATA-SHARING AND ANALYTICS ECOSYSTEM THAT ADVANCES DEMOCRATIC VALUES AND WILL FOSTER CONVERGENCE, CHARACTERIZE AND STRIVE TO NARROW PERSISTENT DIFFERENCES, AND ILLUMINATE OPTIONS TO SUPPORT BROAD DEPLOYMENT OF PETS. THE TEAM IS EXAMINING MULTIPLE MECHANISMS FOR THIS DEPLOYMENT, INCLUDING VIA NEW TECHNOLOGY, LAW AND REGULATION, AND/OR STANDARDS AND CERTIFICATIONS. THE TEAM IS PARTICULARLY FOCUSED ON USE CASES FOR PETS THAT SUPPORT PRIVACY-PRESERVING MACHINE LEARNING AND PETS THAT U.S. FEDERAL AGENCIES MAY NEED TO SUPPORT THE EQUITABLE USE OF AI. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD. | $490.1K | FY2024 | Jul 2024 – Jun 2027 |
| National Science Foundation | SPOKES: SMALL: SOUTH: SMART PRIVACY FOR SMART CITIES: A RESEARCH COLLABORATIVE TO PROTECT PRIVACY AND USE DATA RESPONSIBLY | $349.9K | FY2018 | Sep 2018 – Aug 2020 |
| National Science Foundation | PRIVACY RESEARCH AND DATA RESPONSIBILITY RESEARCH COORDINATION NETWORK | $299.9K | FY2016 | Sep 2016 – Aug 2018 |
| Department of Energy | DOE PARTIAL SUPPORT FOR RESEARCH COORDINATION NETWORK (RCN) FOR PRIVACY-PRESERVING DATA SHARING AND ANALYTICS | $209.9K | FY2024 | Jul 2024 – Jun 2027 |
| National Science Foundation | COLLABORATIVE RESEARCH: SATC: CORE: MEDIUM: A LARGE-SCALE, LONGITUDINAL RESOURCE TO ADVANCE TECHNICAL AND LEGAL UNDERSTANDING OF TEXTUAL PRIVACY INFORMATION | $199.1K | FY2021 | Jul 2021 – Jun 2024 |
| National Science Foundation | NSF CONVERGENCE ACCELERATOR: PRIVACY AND PANDEMICS: RESPONSIBLE USE OF DATA DURING TIMES OF CRISIS | $96.1K | FY2020 | Sep 2020 – Feb 2021 |
| National Science Foundation | BEYOND IRBS: DESIGNING ETHICAL REVIEW PROCESSES FOR BIG DATA | $50K | FY2015 | Sep 2015 – Feb 2016 |
| National Science Foundation | NSF CONVERGENCE ACCELERATOR: THE FUTURE OF PRIVACY TECHNOLOGY-INAUGURAL CONFERENCE OF THE PRIVACY TECH ALLIANCE | $37.8K | FY2020 | Feb 2020 – Jul 2020 |
Department of State
$3.3M
TO INCREASE THE CAPACITY OF PARTNER COUNTRIES TO DEVELOP, ADOPT, AND IMPLEMENT LEGAL FRAMEWORKS THAT PROTECT INDIVIDUAL DATA PRIVACY WHILE EDUCATING KEY STAKEHOLDERS AND ENABLING TRUSTED CROSS-BORDER DATA FLOWS AND DIGITAL TRADE.
National Science Foundation
$499.4K
RCN: APPLIED PRIVACY RESEARCH COORDINATION NETWORK: AN INDUSTRY-ACADEMIC NETWORK TO TRANSITION PROMISING PRIVACY RESEARCH TO PRACTICE
National Science Foundation
$490.1K
RESEARCH COORDINATION NETWORK (RCN) FOR PRIVACY PRESERVING DATA SHARING AND ANALYTICS -THE ADVANCE OF INFORMATION TECHNOLOGY, INCLUDING ARTIFICIAL INTELLIGENCE, HAS MADE THE COLLECTION, ANALYSIS, AND USE OF DATA CENTRAL TO RESEARCH AND ECONOMIC ACTIVITY. HOWEVER, WHEN THOSE DATA ARE ABOUT PEOPLE AND WHAT THEY DO, THERE ARE RISKS TO PRIVACY THAT CAN GROW WITH THE SOPHISTICATION OF THE ANALYSIS. IN RESPONSE, THE FUTURE OF PRIVACY FORUM EDUCATION AND INNOVATION FOUNDATION (FPF) IS CONVENING A RESEARCH COORDINATION NETWORK (RCN) FOR PRIVACY PRESERVING DATA SHARING AND ANALYTICS. THE RCN IS BRINGING TOGETHER EXPERTS FROM ACADEMIA, INDUSTRY, AND GOVERNMENT TO SUPPORT THE DEVELOPMENT, DEPLOYMENT, AND SCALING OF PRIVACY ENHANCING TECHNOLOGIES (PETS)?TOOLS THAT ALLOW FOR DATA ANALYSIS WITHOUT SACRIFICING PRIVACY. WHILE PETSTHEY CAN MITIGATE RISK, THERE ARE MANY FACTORS HOLDING BACK THESE TECHNOLOGIES? WIDESPREAD USE. ONE OF THE BIGGEST STUMBLING BLOCKS TO THE BROADER ADOPTION OF PETS IN RESEARCH IS THE CURRENT LACK OF CLARITY REGARDING HOW REGULATORS WILL INTERPRET AND ENFORCE PRIVACY RULES WHEN ORGANIZATIONS USE THEM. THE RCN IS WORKING TO RESOLVE THIS ISSUE BY BRINGING STAKEHOLDERS TOGETHER TO DISCUSS THE USE OF PETS AND EXPLORE HOW RULES AND STANDARDS CAN PROMOTE THEIR APPROPRIATE USE. THE PROJECT TEAM IS CONVENING A MULTIDISCIPLINARY, CROSS-SECTOR, AND INTERNATIONAL EXPERT GROUP OF SCHOLARS AND PRACTITIONERS WHO FOCUS ON PETS DEVELOPMENT AND USE TO UNDERSTAND THE RISKS OF DATA SHARING AND ANALYTICS FOR MARGINALIZED AND VULNERABLE GROUPS, ALONG WITH CIVIL RIGHTS AND CIVIL LIBERTIES WRIT LARGE. THIS WORK IS IN DIRECT RESPONSE TO RECOMMENDATIONS FROM THE NATIONAL STRATEGY TO ADVANCE PRIVACY PRESERVING DATA SHARING AND ANALYTICS. FURTHER, THE TEAM IS CONVENING A SECONDARY SUB-NETWORK OF HIGH-LEVEL REGULATORS FROM AROUND THE WORLD THAT WILL INFORM AND RESPOND TO THE PRIMARY NETWORK, ADDRESSING THE LEGAL FRAMEWORKS RELEVANT TO PETS ADOPTION. WITH INPUT FROM BOTH GROUPS, THE PROJECT TEAM IS DEVELOPING AND DISSEMINATING NEW GUIDANCE TO ACCELERATE PROGRESS TOWARD A PRIVACY-PRESERVING DATA-SHARING AND ANALYTICS ECOSYSTEM THAT ADVANCES DEMOCRATIC VALUES AND WILL FOSTER CONVERGENCE, CHARACTERIZE AND STRIVE TO NARROW PERSISTENT DIFFERENCES, AND ILLUMINATE OPTIONS TO SUPPORT BROAD DEPLOYMENT OF PETS. THE TEAM IS EXAMINING MULTIPLE MECHANISMS FOR THIS DEPLOYMENT, INCLUDING VIA NEW TECHNOLOGY, LAW AND REGULATION, AND/OR STANDARDS AND CERTIFICATIONS. THE TEAM IS PARTICULARLY FOCUSED ON USE CASES FOR PETS THAT SUPPORT PRIVACY-PRESERVING MACHINE LEARNING AND PETS THAT U.S. FEDERAL AGENCIES MAY NEED TO SUPPORT THE EQUITABLE USE OF AI. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
National Science Foundation
$349.9K
SPOKES: SMALL: SOUTH: SMART PRIVACY FOR SMART CITIES: A RESEARCH COLLABORATIVE TO PROTECT PRIVACY AND USE DATA RESPONSIBLY
National Science Foundation
$299.9K
PRIVACY RESEARCH AND DATA RESPONSIBILITY RESEARCH COORDINATION NETWORK
Department of Energy
$209.9K
DOE PARTIAL SUPPORT FOR RESEARCH COORDINATION NETWORK (RCN) FOR PRIVACY-PRESERVING DATA SHARING AND ANALYTICS
National Science Foundation
$199.1K
COLLABORATIVE RESEARCH: SATC: CORE: MEDIUM: A LARGE-SCALE, LONGITUDINAL RESOURCE TO ADVANCE TECHNICAL AND LEGAL UNDERSTANDING OF TEXTUAL PRIVACY INFORMATION
National Science Foundation
$96.1K
NSF CONVERGENCE ACCELERATOR: PRIVACY AND PANDEMICS: RESPONSIBLE USE OF DATA DURING TIMES OF CRISIS
National Science Foundation
$50K
BEYOND IRBS: DESIGNING ETHICAL REVIEW PROCESSES FOR BIG DATA
National Science Foundation
$37.8K
NSF CONVERGENCE ACCELERATOR: THE FUTURE OF PRIVACY TECHNOLOGY-INAUGURAL CONFERENCE OF THE PRIVACY TECH ALLIANCE
Source: IRS e-Filed Form 990
No officer or director compensation data available for this organization.
This data is sourced from IRS Form 990, Part VII. It may not be available if the organization files Form 990-N (e-Postcard) or has not yet been enriched.
Source: IRS Publication 78, Auto-Revocation List & e-Postcard Data
Tax-deductible contributions: Yes
Deductibility code: PC
Sources: IRS e-Filed Form 990 (XML) & ProPublica Nonprofit Explorer
Scroll →
| Year | Revenue | Contributions | Expenses | Assets | Net Assets |
|---|---|---|---|---|---|
| 2023 | $9.1M | $8.4M | $13.2M | $7.2M | $1.4M |
| 2022 | $10.8M | $10.2M | $12.4M | $10.5M | $5.4M |
| 2021 | $9.8M | $9.4M | $9.1M | $7.8M | $7M |
| 2020 | $9.1M | $9.1M | $7.4M | $7.4M | $6.2M |
Sources: ProPublica Nonprofit Explorer & IRS e-File Index
| Tax Year | Form Type | Source | Documents |
|---|---|---|---|
| 2024 | 990 | IRS e-File | PDF not yet published by IRSView Filing → |
| 2023 | 990 | ✅IRS e-File | PDF not yet published by IRSView Filing → |
| 2022 | 990 | ✅IRS e-File |
| 2019 | $7.5M | $7.5M | $5.6M | $6.3M | $4.5M |
| 2018 | $3.8M | $3.8M | $3.9M | $3.7M | $2.6M |
| 2017 | $4M | $4M | $1.4M | $2.8M | $2.6M |
| 2016 | $818.7K | $818.7K | $1.2M | $421.9K | $24.2K |
| 2015 | $1.4M | $1.4M | $1.3M | $774.7K | $425.6K |
| 2014 | $399.8K | $399.8K | $104.9K | $418.2K | $342.4K |
| 2013 | $5,000 | — | $48.3K | $53.2K | — |
| 2012 | $50K | — | $88.3K | $93.5K | — |
| 2011 | $135K | — | $3,263 | $135K | — |
| 2021 | 990 | ✅ |
| 2020 | 990 | ✅ |
| 2019 | 990 | ✅ |
| 2018 | 990 | ✅ |
| 2017 | 990 | ✅ |
| 2016 | 990 | ✅ |
| 2015 | 990 | ✅ |
| 2014 | 990 | ✅ |
| 2013 | 990-EZ | ✅ |
| 2012 | 990-EZ | ✅ |
| 2011 | 990-EZ | ✅ |