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Earlier this month, Candid released a new version of its taxonomy, the Philanthropy Classification System (PCS). Think of the PCS as a system of “tags” that Candid applies to its data to make it more searchable and usable. What are the benefits of Candid’s updated taxonomy? What does it take to update Candid’s taxonomy?
New Data from the Center for Disaster Philanthropy (CDP) while it is not record-level funding, it was the third highest amount since the nonprofit started reporting such data in 2014. billion, according to CDP data. At least 2,344 transactions from philanthropy included funding for Ukraine in 2022, totaling $247.2
Every year, Candid processes data on nearly two million organizations and more than three million grants. That data makes its way into various products and services to help: nonprofits find funding; researchers, advocates, and journalists derive insights into what is happening in the sector; and all types of funders to make funding decisions.
One of the most common reasons people analyze Candid’s grant data is to understand year-over-year giving trends in the sector. To do so, it’s easy to assume that the best place to start is with as much data as possible. Instead, we rely on a data set called the Foundation 1000. What is the Foundation 1000?
Since 2014, Candid has been collecting demographic data about the people who work at U.S. To date, over 54,000 organizations have shared some data about how their staff and/or board identify by race/ethnicity, gender, sexual orientation, and/or disability status. Demographic data sharing varies by nonprofit subject category.
Generative AI products, such as ChatGPT, are examples of a branch of AI called machine learning, which is concerned with learning from data to surface trends and predictions. In this blog, I will first explain how Candid currently harnesses the power of AI technologies in our data and tools. million nonprofits worldwide.
To cite just two interesting efforts: STRIVE is layering the use of robust data platforms on to local community organizing and social service delivery in Cincinnati and other cities. TechSoup Global is building NGOSource , an online data repository to facilitate the sometimes costly business of getting grants to overseas charities.
People are open sourcing their metrics, and building taxonomy. To get the market from niche to mainstream people are working on taxonomy, metrics and peer and trend ratings. The taxonomy of social and environmental terms enables the aggregation of data from different providers and multiple data collection systems. “ .
It’s a new international charity classification system that will pave the way for better grantmaking, especially online and international philanthropy. Back in 2012, in order to better meet the needs of the global philanthropic sector, the Foundation Center began an extensive review of their Philanthropy Classification System.
As a corporate funder turned consultant, I've spent the last decade helping funders make the shift from philanthropy to social, or impact, investing. You no longer have to rely on — and get headaches from — spreadsheets of data with pivot tables galore. What Is Impact Investing? I had to become a part of this!
Jessica Holliday, NTEN’s Operations Director, learned a lot at the Do Good Data Conference in Chicago last week and chose to share some highlights with us. Be Generous with Data—Water for People Ned Breslin from Water for People preached to the choir of the importance of using data to drive successful programs.
CAF America launched the IGS last year around the shared belief that international philanthropy can, and should be, a powerful force in our effort to address the world’s most pressing issues. This was a very timely panel as we have all felt the momentum build behind philanthropy for the SDGs. The Key to Cross-Sector Partnerships.
Heather Grady, Vice President of Rockefeller Philanthropy Advisors, introduced the SDG Philanthropy Platform to the room. The SDG Philanthropy Platform informs and catalyzes collaboration through building awareness and connections between those working in the philanthropic space. The Power of Using Data in the Media.
As a corporate funder turned consultant, I’ve spent the last decade helping funders make the shift from philanthropy to social, or impact investing. You no longer have to rely on – and get headaches from – spreadsheets of data with pivot tables galore. What is impact investing? Impact investing means more than simply “doing good.”
These categories build off of the extensive taxonomy Candid has developed over years—based on data from over 17 million grants—which we have jointly adapted to capture work related to human rights. The limitations of data related to racial or ethnic groups are even greater than in other areas. Even in the U.S.,
Since 2008, private philanthropy in the U.S. billion in grants specifically for “community college education,” according to Candid data. Under Candid’s taxonomy , we track funds supporting “community college education,” which encompasses funding both to community colleges and to their foundations. has awarded over $3.5
It has a lot of features , but most importantly it grabs hashtags or keywords from Twitter (and Facebook) and dumps into a google doc spreadsheet with other data points. It’s free but you can purchase additional data for reasonable amounts (for example you can get Klout Scores ). How did that relate to the learning objectives?
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