Click to Watch House Select Committee on Economic Disparity & Fairness in Growth Roundtable:
Measuring Economic Disparity
The Women’s Institute for Science, Equity and Race
Recognizes the Biden Administration’s Read Press Release Executive Order on Racial Equity

We will also hear a new term, “disaggregated data” – in other words, data that has been divided into detailed sub-categories – which will allow us to understand who exactly Covid-19 has killed, who was denied or benefited from relief packages and who was completely forgotten. Disaggregated data will also allow for the identification of the nuances in the characteristics and outcomes that define vulnerability. We will require that data be collected and reported with the purpose of being separated into its component parts. This will give us the accountability we need to measure progress in the wellbeing of vulnerable populations. by Rhonda Vonshay Sharpe, President, WISER
Public policy-making will be made more effective by analysing the intersection of class, poverty and race Click to read Disaggregated data will bring justice for all:
How’s the economy? vs. how’s the economy for each of us? Listen to Kai Ryssdal, host of MarketPlace, discuss the importanct of #disaggregatingdata with our President. Show Me The Data, But Disaggregate It First

Instead, all federally funded research should report data by the intersection of ethnicity, race, gender, class, and other characteristics. That means not simply looking at the numbers based on age or race or gender, but looking at all of those factors at once.

An intersectional approach takes into consideration the fact that people often fit into more than one of these categories. When data are disaggregated this way, the results can inform policies to increase health and economic outcomes of vulnerable groups.
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Click to read Stimulus Spending, and Lots of It, Is the Only Way for Next President to Fix the Ailing Economy, Experts Say Click to read Newsweek asked 12 leading economic thinkers to imagine a phone call on January 21 from the nation's commander-in-chief asking them, "What's your best advice for me right now on the economy?" Our President's response,

"HELP THE HARDEST HIT"
The Wired World in 2021 | The Essential Trends | WISER Show Me the Data, But Disaggregate It First | Advancing Health Equity Disaggregated Data by Race | WISER WISER News Week - Women’s Institute for Science, Equity and Race

About WISER

Founded on International Women’s Day 2016, the Women’s Institute for Science, Equity and Race (WISER) is a nonprofit, nonpartisan 501(c)3 research institute.  WISER’s mission is to expand women-focused policy research to include the social, economic, cultural, and political well-being of Asian, Black, Hispanic, Indigenous American, and Multiracial women.

WISER believes a microanalysis approach, the disaggregation of data by ethnicity, gender, race, and other characteristics, lived experiences, and research has shown to influence will draw different conclusions for each group, as opposed to the broad umbrella of “women of color.” Using the term “women of color“assumes that Asian, Black, Hispanic, Indigenous American, and Multiracial women are a homogeneous group and results in ineffective policies that do not address the needs of the most vulnerable.

WISER advocates for a society where policy research is inclusive of the needs of Asian, Black, Hispanic, Indigenous American, and Multiracial women. We believe the well-being of these women is vital for economic progress.

WISER Wednesday

WISER Wednesday is a weekly email that examines current news or policy issues.

WISER Dialogue

Conversations with Women of Color

WISER Dialogue are thought provoking conversations with women of color about issues, policies, and research that impact our lives. WISER Dialogue elevates the voices of Asian, Black, Hispanic and Indigenous American women by including their viewpoint.

Infographics

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    Father's Day 2020
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    Asian American History Month 2020
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    Mother's Day 2020
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    National Nurses Day 2020
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    National Teacher's Day 2020
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