Tag Archives: AB1726

BREAKING: California Governor Signs AAPI Data Disaggregation Bill Into Law

September 26, 2016
California State Assemblymember Rob Bonta, author of The Ahead Act (AB1726) which would expand data disaggregation for AAPIs in California, speaks to supporters at a rally earlier this year. (Photo Credit: Twitter)
California State Assemblymember Rob Bonta, author of The Ahead Act (AB1726) which would expand data disaggregation for AAPIs in California, speaks to supporters at a rally earlier this year. (Photo Credit: Twitter)

Following years of tireless advocacy work by AAPI advocacy groups, California has signed a critical data disaggregation bill into law.

AB1726 (also called “The AHEAD Act”) was introduced before the California Legislature early this year by bill author Assemblyman Rob Bonta. Recognizing that most state and federal data generally lump all members of the nearly 50 ethnic groups that comprise the AAPI community into a single monolithic category or disaggregate by only a handful of ethnic identifiers, the bill called for the expanded disaggregation of state public health and higher education data to include at least ten more ethnic categories for AAPIs. Those new ethnic options — which include checkboxes for those who identify as Bangladeshi, Hmong, Indonesian, Malaysian, Pakistani, Sri Lankan, Taiwanese, Thai, Fijian and Tongan — were consistent with what is currently available via the National Census.

Meanwhile, the lack of disaggregated data renders invisible several achievement disparities — including increased incidence of certain treatable diseases and/or reduced education access — that disproportionately impact certain AAPI ethnic groups over others. Without the capacity to draw awareness to those inequities, no culturally- or linguistically-specific resources are devoted to addressing them.

The AHEAD Act was designed to take the first step towards helping the thousands of Asian American and Pacific Islander Californians who are currently underserved by state and federal services.

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From Self-Interest to Collective Morality: How We Must Reframe the Discussion on Affirmative Action in the Asian American Community

August 24, 2016
San Gabriel Councilman Chin Ho Liao speaks against SCA?5 at a protest. (Photo credit: Pasadena Star-News)
San Gabriel Councilman Chin Ho Liao discusses SCA5, a California bill that would have reinstituted race-conscious affirmative action in the state, at an anti-affirmative action protest. (Photo credit: Pasadena Star-News)

By Guest Contributor: Felix Huang (@Brkn_Yllw_Lns)

When the matter comes under contest, affirmative action’s Asian American advocates readily point to disparities in higher education access for particular Asian Americans, Native Hawaiians, and Pacific Islanders. According to a 2015 report on AANHPI higher education in California:

  • Filipinx, Thai, Laotian, Native Hawaiian, and Pacific Islander students are admitted into the University of California (UC) system at rates significantly lower than the general admit rate.
  • Filipinxs, Native Hawaiians, Samoans, Guamanians/Chamorros, and Fijians are, relative to their overall population, underrepresented in the UC system.
  • Vietnamese, Cambodian, Hmong, Guamanian/Chamorro, Samoan, and Laotian adult individuals (25 years and older) possess bachelor degrees (or higher) at rates lower than the overall state average of 31%.

The importance of noting these disparities cannot be overstated. However, to one particular Asian American audience, this may be thoroughly unconvincing. Persuasive as they might be to a broader audience, the typical pro-affirmative action argument from AANHPI advocacy groups fails to persuade some Asian Americans who oppose affirmative action because they leave an elephant in the room unaddressed.

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California’s Proposed Bill to Disaggregate AAPI Data Significantly Weakened in New Amendments

August 21, 2016
Attendees at a recent rally in support of AB1726, a data disaggregation scheduled to reach the CA Senate floor soon. (Photo Credit: @DiverseElders / Twitter )
Attendees at a recent rally in support of AB1726, a data disaggregation scheduled to reach the CA Senate floor soon. (Photo Credit: @DiverseElders / Twitter )

After months of increasingly vitriolic debate that divided the AAPI community, California Assembly Bill 1726 (AB1726) was significantly amended on Friday. In its original version, AB1726 was the culmination of years of lobbying work by California’s AAPI advocacy community, and it would have put in place measures to disaggregate healthcare and higher education data to reveal disparities faced by Southeast Asian Americans and Pacific Islanders in the state. Using the same ethnic options offered by the National Census, AB1726 would have expanded the ethnic self-identification choices offered in demographic studies conducted by state departments related to healthcare and higher education.

Last year, AB1726’s predecessor, Assembly Bill 176, passed the California Legislature with near unanimous bipartisan support and the backing of several local California advocacy groups, only to be vetoed by Governor Jerry Brown. This cycle’s AB1726 was expected to pass the Legislature with similarly minimal resistance, until it faced inexplicably intense backlash from grassroots Chinese American groups that had originally organized around SCA-5 (and protests against Jimmy Kimmel) in the state. What emerged was a vocal, deeply inflammatory, arguably paranoid resistance to AB1726, wherein opponents suggested while the bill was still in Committees that it would create a “backdoor” to reinstitute race-conscius affirmative action in the state.

How a data collection bill designed was supposed to circumvent California state law prohibiting race-conscious affirmative action in higher education remains unclear to me.

Yet, no one can deny this grassroots conservative Chinese American movement’s growing clout.

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Broad Data Categories Undermine California Community Colleges’ Commitment to Student Success

August 18, 2016
California State Assemblymember Rob Bonta, author of The Ahead Act (AB1726) which would expand data disaggregation for AAPIs in California, speaks to supporters at a rally earlier this year. (Photo Credit: Twitter)
California State Assemblymember Rob Bonta, author of The Ahead Act (AB1726) which would expand data disaggregation for AAPIs in California, speaks to supporters at a rally earlier this year. (Photo Credit: Twitter)

By Guest Contributor: Ryan Khamkongsay, Institutional Researcher

If knowledge is power, then accurate data is the foundation of empowerment. We live in a world that is completely data driven—good data is crucial for doctors to make accurate diagnoses, for teachers to know what’s working in a classroom, for epidemiologists to stop global pandemics, and for policymakers to design effective solutions.

As an Institutional Researcher in the California Community College (CCC) system, I know that the lack of disaggregated data is a major barrier to strengthening the evidence-based practices for promoting access and equity in higher education. California Community Colleges are the quintessential “open access” college system serving the most diverse population in the nation. CCC’s are the gateway to higher education for nearly 2.6 million students annually within the 112 college campus and 71 off-campus centers. As researchers in the CCC system, we are tasked with identifying achievement and access gaps within our diverse student body, but the overly broad aggregate racial and ethnic categories that are currently used continue to mask dramatic disparities across ethnic sub-communities making them invisible to us. I also know this as a second-generation Laotian American and a California native who entered higher education through the community college system. Southeast Asian Americans, like my family, entered this country as refugees of war or genocide and have struggled with much lower than average incomes, English proficiency levels, and educational attainment. The community college system can be a gateway for Southeast Asian Americans and other low-income communities of color into both higher education and high-skilled jobs. But if researchers and policymakers are not able to “see” our community’s students, then they will not know how to adequately support them.

We must ask: Are higher education institutions using the best methodologies to properly measure equity and identify achievement gaps within our diverse student populations?

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We Cannot Disregard Data: How Opposition to Data Disaggregation Hurts AAPI

August 10, 2016
Protesters rally behind #AllCACounts (Photo Credit: SEARAC)
Protesters rally behind #AllCACounts (Photo Credit: SEARAC)

In California, a battle over data disaggregation has reached a fevered pitch.

Earlier this year, Asian American and Pacific Islander (AAPI) advocates worked tirelessly in conjunction with state legislators to draft and advance Assembly Bill 1726 (AB1726, nicknamed “The AHEAD Act”), which would disaggregate healthcare and higher education data pertaining to the AAPI community using the same guidelines as the federal Census Bureau. AB1726 is the second effort to pass such a law in the state of California; Governor Jerry Brown vetoed an earlier data disaggregation bill passed with near unanimous support in 2015.

In April, I wrote about why we need data disaggregation. I noted the broad diversity of the AAPI community that creates vastly unequal access to services such as education and healthcare for many specific AAPI ethnic groups. Yet, those ethnicity-specific inequities are often lost by state and federal data collection systems that treat AAPIs as an ethnically homogenous group. That invisibility, in turn, protects and preserves structural injustices faced by many AAPIs. Data disaggregation is not just an important issue; it is one of the core civil rights issues facing AAPIs today.

As far as I’m concerned, it’s a “no brainer” for AAPI advocates to support data disaggregation. Previous efforts to disaggregate AAPI demographic data — including, most notably, successful efforts to disaggregate Native Hawaiians and Pacific Islanders in Census data as a separate racial category  — have yielded a plethora of valuable data concerning these communities. Activists have subsequently mobilized to develop programs specifically focused on the NH/PI community. For a community long damaged by our invisibility, AAPI must agree: efforts to improve data collection around the AAPI community are a good thing.

So, how can one possibly oppose The AHEAD Act?

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