USA: Southeast Asians are underrepresented in STEM. The label ‘Asian’ boxes them out more

The impact of overly broad groupings. In contrast, Canadian visible minorities have 7 groupings of Asian: Chinese, South Asian, Filipino, Southeast Asian, Korean, Japanese, West Asian (but of course, considerable differences within most of these groups):

When Kao Lee Yang received a nomination from her university for the Gilliam Fellowship by the Howard Hughes Medical Institute for underrepresented groups in science, technology, engineering and math, she was thrilled. She’s spent years working toward her doctorate in Alzheimer’s research at the University of Wisconsin-Madison.

Yang is Asian American, and more specifically is Hmong American, part of a small minority in the United States with just 327,000 people.

Though the Hmong population in the U.S. is growing, Hmong Americans are still underrepresented in STEM fields and have lower education rates and higher poverty rates overall, compared to the U.S. population at large.

For example, while 24% of all Asians in the U.S. have obtained an additional degree after college, and 13% of all Americans have, just 6% of Hmong Americans have, according to the Pew Research Center’s 2019 analysis of Census Bureau data. To add to that, a very low percentage of Hmong Americans actually go into STEM fields.

That’s why Yang said she was “blindsided” when HHMI emailed her academic adviser saying she wasn’t eligible for the fellowship because she didn’t meet their requirements for who is considered underrepresented.

Though the National Institutes of Health acknowledges that underrepresentation can be determined on a “case by case” basis, people who identify as Asian or white are not seen as underrepresentedin STEM, according to standards set by the NIH.

That means certain fellowships, grant funding and educational opportunities that are meant for underrepresented groups, such as Latino, Black, and Indigenous people, for example, are not always extended toward Asian American applicants. The opportunities are designed to elevate groups who are historically marginalized and make sure STEM workplaces are more inclusive and equitable.

So Yang, who said she has never met another Hmong scientist in her field, said it made no sense to her that she wasn’t considered underrepresented.

“I was dumbfounded,” Yang said. “I did wonder how HHMI came to that determination when I have had such a hard time finding other Hmong American scientists and scientific spaces.”

Yang isn’t the only one who’s experienced the contradictions that come with falling under the broad category of “Asian” in government data collection. Asian Americans have been calling attention to the issue for decades.

Hmong, Vietnamese, Filipino, Laotian, and Cambodian Americans all fall under the broad category of Asian, but their experiences the U.S. when it comes to things like education levels can vary greatly from other Asian groups such as Chinese, Korean, Indian and Japanese. Some South Asian groups such as Bhutanese and Burmese also face lower levels of educational attainment.

Because of the way HHMI looked at Asian Americans as one group, Yang was not considered to be underrepresented — effectively shutting her out from an opportunity that claims to be for someone exactly like her.

Why advocates say more nuanced data is important

“Is every Asian American group underrepresented in higher education? Obviously that’s not the case,” said Janelle Wong, a professor of Asian American studies at the University of Maryland and a co-founder of AAPI Data.

“Indian and Chinese students are the largest groups applying to these programs. And while they do often face implicit bias on campuses, they’re not facing systemic exclusion to access to higher education,” Wong said.

Wong has been advocating for data disaggregation in the Asian American community for years.

Disaggregation would involve collecting more specific data on Asian sub-groups so that a person’s country of origin is apparent, rather than just grouping people together from the entire continent. The data would show specifically if someone was Vietnamese American, or Cambodian American, for example, rather than simply classifying them as Asian.

That kind of detail would allow policymakers, health care professionals, educators and even institutions such as the NIH to better examine the nuances of different Asian populations, because different groups have different needs, experiences and beliefs. The same argument has been made for other racial groups, too, particularly Latinos.

Wong said the issue isn’t just about collecting better data — it’s about justice and civil rights, too.

“This is both a data quality issue and a data justice issue,” she said.

She said lumping all Asian Americans together in one racial category effectively reduces the experience of millions of people — not just when it comes to assessing job or educational candidates, but also for anyone trying to understand their political beliefs, education level, incomeinequality and health outcomes as well. For example, data on the broad category of Asian Americans show that a vast majority are Democratic voters. But if the data is further broken down, it reveals that Vietnamese Americans tend to have far more conservative views and more often identify as Republican.

Rachel Sklar, a post-doctorate scholar in environmental health outcomes at the University of California San Francisco, is Filipino and says she has been denied an academic opportunity in the past because she falls under the “Asian American” category.

Sklar said Filipinos in the U.S. experience what’s called “downward intergenerational mobility.” In other words, U.S.-born Filipinos are less likely to obtain a bachelor’s degree than their foreign-born parents. So efforts to boost groups struggling to obtain higher education should apply to Filipinos, Sklar said, but instead they’re hidden in the broader data on Asian Americans and educational achievement.

“The experiences of groups like Filipinos are just erased. They’re deemed invisible,” Sklar said.

More nuanced data could also be helpful to doctors treating Asian American patients, and policy makers making decisions about targeting health resources to different communities.

Sklar points out that Filipino women have high rates of hypertension and diabetes and other risk factors that can impact childbirth.

“Yet, because they’re grouped as Asians, they’re rarely considered for the types of resources that they need for safe birthing and pregnancy,” she said.

Questions of identity, and guilt

The dichotomy of being considered a minority by some institutions, but not by others, is emotionally confusing, as well.

Brittany Boribong, who was nominated to the Gilliam Fellowship in 2018 — the same one Yang was nominated for — had almost the same experience as Yang.

Boribong is Laotian American and the daughter of refugees. She and her brother are the first in her family to go to college, and she is the first to continue her education beyond a bachelor’s degree. While she was getting her doctorate at Virginia Tech, she was nominated by her school for the fellowship.

Like Yang, the fellowship told Boribong she wasn’t eligible. For her, it brought up a wave of guilt, like she was taking up an opportunity from someone else, a feeling she experienced while participating in a different fellowship for underrepresented people in STEM.

“I’m technically Asian American,” she said, but she couldn’t help thinking, “Do I belong here? Am I taking someone else’s spot? … I always felt like I snuck my way in, that I shouldn’t have been there.”

Being told by the Gilliam Fellowship that she wasn’t eligible was embarrassing, Boribong said, and it was the first time she had been told so bluntly she wasn’t underrepresented.

“I just look around the room and it’s like, where are the other Lao scientists? If I’m not considered a minority, then where are we?”

She and her advisor had to then go through the process of making a case that Boribong is underrepresented. Eventually, they did allow her nomination through, but it pushed her away from applying to other fellowships at HHMI.

There are growing calls for changing the way we collect data

Collecting more specific data about Asian Americans is something scholars and activists have been calling on for years, and it’s been picking up traction.

In November, lawmakers in New York re-upped their legislation calling for disaggregation of data on Asian Americans and Pacific Islanders.

Former Gov. Andrew Cuomo was presented with the same bill before he resigned from office but refused to sign it into law, citing logistical and financial issues of having to create new, uniform methods of collecting data, which is the most common opposition to data disaggregation. Others who have opposed efforts to disaggregate data have also cited privacy concerns, particularly related to immigrant communities, or said that it could divide different Asian groups.

But advocates of the law have pushed back against those concerns and are now asking Gov. Kathy Hochul to sign it into law.

“Asian-Americans and Pacific Islanders in New York represent 30+ different ethnicities and speak numerous languages. Failing to record & report that diversity is harmful,” State Sen. Julia Salazar, who co-sponsored the bill, tweeted.

When it comes to STEM academia in particular, the push for change has been incremental. Both Sklar and Boribong hadn’t realized how many others had gone through the same experience until Yang tweeted about her experience in October.

Elevating the conversation, though, might lead to some change. After Yang’s tweet spread on social media and after being questioned by NPR about their process of determining who is underrepresented, HHMI has updated their standards.

As of Nov. 12, the fellowship now said it recognizes “there are other ethnic populations who might be underrepresented but who are not currently designated as such by the federal government” and will “continue to consider” how they can better determine underrepresentation in STEM.

They’ve also extended the opportunity to Yang and a few others to complete their application, but Yang said she will not be moving forward with the process.

The larger problem that Sklar points out is that many other fellowships in STEM academia still take their guidance on diversity and representation from the NIH. The NIH, when asked by NPR, said they are required to take their guidance on race and ethnicity from the 1997 standards of the White House’s Office of Management and Budget.

But the OMB standards that same year also said the racial and ethnic groups that are outlined are a minimum base for gathering data, so agencies can go into further detail if they choose to. The Department of Health and Human Services guidance also said agencies are encouragedand can go into further detail. Plus, in 2012, a report to the NIH director outlined concerns about the lack of disaggregated data when it came to minority groups, specifically Latinos.

Sklar said if the NIH doesn’t change their process, she doesn’t expect much to change. In the meantime, she is focusing on what she can control: choosing to disaggregate the data she uses in her own scientific research.

For her, showing the vast differences in the Asian American population in her own research is proof in itself that the same should happen on a wider scale.

“The research needs to come first,” Sklar said, “And show that, ‘Wow, look at these experiences we’ve been making invisible just by glossing over and assuming a very heterogeneous group is actually homogeneous.'”

Source: Southeast Asians are underrepresented in STEM. The label ‘Asian’ boxes them out more

Fears that international student intake will keep falling

Not much new but nevertheless worth reading:

Canada suffered a year-on-year drop of between 20% and 30% in international student enrolment between the 2019-20 academic year and the 2020-21 academic year because of the COVID crisis.

The absence of 65,000 international students is already affecting local economies, university budgets and research in the STEM (science, technology, engineering and mathematics) fields.

But university and college administrators, and non-governmental organisations involved with bringing international students to Canada are concerned that travel rules introduced in February 2021 to restrict the spread of COVID-19 will further depress the numbers of international students coming to Canada, both this spring and in September.  

Since this February, international flights to Canada can land only in Montreal, Toronto, Calgary and Vancouver, and travellers have been required to be quarantined at designated hotels.  

According to Denise Amyot, president and CEO of Colleges and Institutes Canada, these new regulations have disproportionately impacted colleges and universities in smaller cities and rural and remote areas because students must serve the entirety of their quarantine at the government-approved hotels.  

“There’s no designated airport in Atlantic Canada,” she notes. International students destined for universities in this region must first quarantine in a hotel at one of the hubs at a cost of CA$2,000 (US$1,600).

“This is very costly, especially for an international student,” Amyot says.  

In addition, once the student travels to their destination university in, say, Halifax, Nova Scotia, or Quebec City, they will have to quarantine again. While the final tallies are not in, Amyot says, because of these two layers of quarantine, we are seeing a large number of deferrals for the spring, summer and upcoming fall intakes.

International students whose universities are near one of the designated airports must quarantine in the government-approved hotels for at least three days, the period it normally takes to receive COVID-19 test results. If they test negative, and if their school has a plan approved by the local health authority and the federal government, the student can be taken to a quarantine centre on his or her school’s campus.  

In an effort to lessen the financial burden on international students, the University of Waterloo in southwestern Ontario picks up the cost for days four through to 14 for students who quarantine on its main campus in Kitchener, Ontario. 

“The cost,” says University of Waterloo Associate Vice Provost Chris Read, “is about CA$2,000 and includes transportation from the airport, accommodation and food”. This programme explains why the university’s year-over-year enrolment of international students has remained stable at 8,861 in 2020-21 compared with 8,897 the year before. 

Concerns about international students’ mental health has prompted the University of Calgary to include a Zoom-based buddy system in its quarantine programme. The buddies are not counsellors, says Dean and Vice-Provost Dr Robin Yates, but are peer volunteers, “a friendly face who will keep them company”.

For its part, in addition to providing quarantine space in its dormitories, the University of Toronto has established a CA$9.1 million (US$7.2 million) fund to help international students pay for the period of time they have to quarantine in a hotel.

The financial impact resulting from the absence of international students is being felt across the country and is affecting the bottom line of universities and colleges, according to Professor Robert Falconer of the University of Calgary School of Public Policy.

“Across the country, with a few exceptions, universities are relying more and more on international students as a primary source of revenue. British Columbia is most exposed with over 50% of its tuition revenue coming from international students,” he says. 

The differential rates charged to international students varies, but, Falconer told University World News, “it is quite significant”. At Falconer’s university, tuition and fees for international students in the sciences is CA$8,000 (US$6,400) a year, while it is CA$3,000 for domestic students. 

The figure is even greater at the University of Waterloo. Tuition fees for domestic students enrolled in graduate studies in architecture are CA$10,900 as compared to CA$59,700 (US$47,600) for international students. In the faculties of applied health sciences and art, the tuition fees for each group are CA$7,700 and CA$40,900, respectively. 

According to Yates of the University of Calgary, the differential paid by international students is vital. “It helps institutions to be able to offer programmes, especially smaller institutions, that they would not have been able to afford otherwise, either because the schools did not have enough money or enough domestic students to be able to offer that programme.”

Marco Mendicino, minister of immigration, refugees and citizenship, could not have been blunter. “If we didn’t have international students, we would have a gaping hole in our economy. They contribute CA$21 billion [US$16.7 billion] to the Canadian economy as compared to CA$19 billion contributed by the automotive industry,” he says.

“This contribution might not be noticed in larger centres, but in small university towns like the University of Lethbridge [Alberta] or in Thunder Bay [Lakehead University], Ontario, they have a large impact through renting homes and buying goods and services,” says Falconer. 

Threat to STEM programmes

Falconer, Yates, Amyot and the other experts University World Newsinterviewed were especially concerned with how the decline in the number of international graduate students threatens Canada’s STEM programmes.

Of the 2,000 international graduate students at the University of Calgary, some 400 have requested deferrals and have remained in their home countries.  

According to Yates, about 200 are studying remotely. In his immunology lab, Yates told University World News that while certain tasks, such as data analysis, can be done remotely for a month or two, at some point you have to go back into the lab to generate more data.  

“Graduate students comprise a significant part of the workforce doing meaningful research that is pushing the research agenda forward for Canada. Anywhere between 20% and 80% of any given research group is composed of graduate students and on average a little more than one third of these students are international graduate students.”

Yates’ University of Calgary colleague, Falconer, is concerned that the brain drain in the STEM fields will hobble Canada’s post-COVID recovery. 

“The OECD countries are considering what a post-COVID industrial policy, and research and development policy looks like. We have to consider [whether without these students] we even have the staffing and personnel industrial base to facilitate a post-COVID industrial economy?” he asks.

To the question, especially in a pandemic, of why Canadian taxpayers should be funding graduate schools that educate international students, Yates answered: “To drive research agendas and move our research forward, we need the best and brightest from across the globe. The taxpayers deserve when they spend millions of dollars on research that that money be spent in the best way possible. And that is to get the best people here into Canada.”

It is important, Yates adds, that people understand that the pure or applied research that international graduate students undertake in labs like his undergirded the creation of the vaccines against COVID-19.  

“The PhDs that come out of these programmes are making and designing these vaccines. The workforces that are in AstraZeneca, Moderna and Pfizer are sourced from graduate programmes and these include international students,” he says.

Corridor kept open

Minister Mendicino, Falconer and Amyot each emphasised that unlike similar countries such as Australia, Canada has kept the corridor for international students open because of the long-term importance of international students to the country.  

At present 25% of Canadians are older than 65, which means that for each retired person there are fewer than three working and paying into the social insurance system and taxes.  

“Canada needs immigration. We need people to decide to live here because we have such a low [1.5] fertility rate,” says Amyot.  

“Despite the challenges of the pandemic,” says Mendicino, “we have kept the international programme open, and we have improved it.” 

The four improvements, Mendicino explained to University World News, amount to a ladder, at the top of which international students can apply for permanent residency and, ultimately, citizenship.  

The first improvement allowed international students to start their studies online in their home country. 

The second changed the international students’ work permits to give them the right to work in fields other than their course of study. 

The third was keeping open the corridor, which required planning with universities and colleges, and, negotiating agreements with the provinces; this last always a fraught activity in the fractious Canadian federation. 

The fourth improvement provides additional work permit flexibility to postgraduate students so as not to penalise them for starting their programmes online. Once they have graduated and found jobs, thousands of (former) international students apply for permanent residency.

“What I see as minister is an opportunity to broaden and accelerate the pathways that not only allow international students to come and study but also to stay in Canada and build the next chapter of their lives in Canada,” says Mendicino, who himself is the child of Italian immigrants.

Source: https://www.universityworldnews.com/post-nl.php?story=20210402091353306

How Canada is fighting the war on talent

Good analysis:

Some might look at Noubar Afeyan’s career as a frustrating example of a talented Canadian scientist who got away. The chairman and co-founder of Boston-based Moderna, one of the leading COVID-19 vaccine makers, was born in Lebanon, immigrated to Canada with his family in the 1970s and did his undergraduate studies at McGill University.

Then we lost him. Mr. Afeyan left to get his PhD at the Massachusetts Institute of Technology, eventually becoming a star scientist and entrepreneur. He has founded several successful U.S. biotech startups and registered more than 100 patents.

The good news is that Canada’s technology landscape has dramatically changed in the past three-plus decades.

Yes, like Mr. Afeyan, many Canadians are still drawn south by the reputations of U.S. colleges and tech giants. But the evidence suggests Canada has largely reversed its brain drain. This country’s fast-growing technology sector is more than holding its own in the global race for talent, even after the deep economic shock of the pandemic, according to an analysis of employment data contained in a new report for the Innovation Economy Council.

Despite the terrible toll of the pandemic, Canada has become more competitive because there are more opportunities here than ever for people to learn, to build companies and to thrive. And that’s making the market for technology jobs remarkably resilient.

Indeed, there are nearly 100,000 more jobs now in so-called STEM disciplines – science, technology, engineering and math – in this country than there were before the pandemic. There is still a gaping hole in Canada’s job market, but not for these people. For the most part, Canadian startups and technology companies absorbed the shock, moved to remote work and in some cases have expanded aggressively.

The resilience of tech employment in these uncertain times is a testament to the Canadian sector’s core strengths – an immigration system that welcomes talented foreigners, a growing crop of promising homegrown STEM graduates and a thriving ecosystem of companies.

It’s a tale of two economies, of course. While there was a net gain of 98,500 STEM jobs, Canada had 431,000 fewer non-STEM jobs in October than it had in February, in sectors such as retail, tourism and airlines.

And there is a cautionary note about the STEM jobs. The number of job postings for these workers is down roughly 50 per cent since February, according to an analysis of data from the Labour Market Information Council. This suggests that companies are still hiring, but perhaps not as enthusiastically as they were before the pandemic.

Another consequence of COVID-19 is that it has accelerated the shift to distributed work forces in the tech industry – teams of employees scattered across different cities and countries. Companies have learned that it’s no longer essential to bring people to them. They can just as easily go where the talent is.

Tech giants – including Google, Facebook and Amazon – have set up large Canadian research and development operations in recent years. A growing number of foreign startups are doing the same. They are moving here to tap our plentiful and affordable supply of programmers, engineers, artificial-intelligence experts and scientists.

Talent flows both ways. Thousands of Canadians continue to pursue careers and education in the U.S. despite four years of anti-immigration rhetoric by outgoing U.S. President Donald Trump. Mr. Trump threatened to tighten H-1B visas, but it turns out Canadian STEM workers are still successfully applying for them – more Canadians were issued H-1Bs in 2019 than in 2018.

Still, that exodus is significantly smaller than the inflow of foreign students, workers and entrepreneurs. Most of our departing STEM workers go to the United States – IEC research shows that more than 10,000 Canadians went south in 2019 with H-1B visas and green cards. But Canada gained nearly 23,000 global STEM workers through permanent residency and temporary foreign worker visas that year.

These newcomers are more likely than Canadians born here to work and study in STEM disciplines. It’s proof that Canada is a place where talented foreigners want to live, work and start companies.

There is also some evidence that the combination of U.S. political strife and China’s democracy crackdown in Hong Kong may be drawing Canadian expats home. As many as 300,000 of the roughly three million Canadian passport holders living outside the country may have returned home since COVID-19 hit, many for good.

But without opportunity, none of that would happen.

Today, it’s tempting to imagine a different a different life story for Moderna’s Noubar Afeyan. Instead of leaving, he stays in Montreal and goes on to found a biotech company that develops a Canadian-made COVID-19 vaccine that the rest of the world desperately wants. His company is worth more than $60-billion and employs thousands of Canadian scientists.

The resilience of Canada’s STEM work force through the pandemic suggests this kind of homegrown-hero story is not so far-fetched.

Canadians will always leave to find their way in the world. This week’s sale of highly touted Montreal startup Element AI to a California software company marked an unfortunate loss of both intellectual property and talent. Canada isn’t the world’s biggest pond and we’ll never retain all of our companies and people. But we’ve shown that we can win the war for talent.

The Trump presidency peddled its anti-immigration messaging, eroding the false narrative that the best and brightest were always welcome in America. Canada countered with policies and public-relations efforts aimed at attracting talent, such as the highly successful Global Talent Stream program and Communitech’s “We Want You” campaign. It has worked.

But the talent war isn’t over. The key is to continue to create – and promote – opportunities and incentives for the best and brightest here in Canada. If we’ve learned anything from the past few years, it’s that narratives matter. And Canada has a good story to tell.

Source: https://www.theglobeandmail.com/business/commentary/article-how-canada-is-fighting-the-war-on-talent/

Outcomes of STEM immigrants in Canada and the U.S.

Good overview of this study, showing that overall STEM immigrants do worse in Canada than the USA, with Statistics Canada providing possible explanations:

Immigrants make up a large share of university-educated workers in STEM fields in both Canada and the U.S., and a recent study looked into which country sees better outcomes for immigrants in these sectors.

The Statistics Canada study looked at the economic outcomes of immigrants age 25 to 64 who had at least a bachelor’s degree in a STEM— science, technology, engineering, mathematics—field. In Canada, the data is from 2016, while U.S. data is from 2015 to 2017.

In general, U.S. immigrants saw better outcomes.

In both countries, immigrants with at least a bachelor’s degree were twice as likely as the native-born population to have studied in a STEM field. They were also three times as likely to have studied engineering, computer science, and math.

In terms of occupational outcomes, more than half of STEM-educated immigrant workers in both countries held non-STEM jobs. The study said this was, generally, not a big issue because STEM skills are valued in many other occupations. However, it becomes an issue when STEM-educated immigrants in Canada end up  working at jobs that do not require a university education. In Canada, only 20 per cent of STEM educated immigrants working outside of the field are actually working a job that requires a university degree. In the U.S., it is 48 per cent.

Among all STEM-educated workers, immigrants earned 25 per cent less than their Canadian-born counterparts. There was no earnings gap between immigrants and U.S.-born workers.

Even within the Canadian STEM field, immigrants who found work earned 17 per cent less than Canadian-born individuals. In the U.S., immigrants earned about 4 per cent more than their native-born counterparts.

STEM-educated immigrants who did not find a job in the field earned about 34 per cent less than Canadians with the same education. The wage gap was narrower in the States, with immigrants earning about 7 per cent less.

Why are outcomes better in the U.S.?

Statistics Canada offers five possible explanations, though little research has been done on this question.

U.S. is first choice for many high-skilled immigrants

It may be that the skills of STEM-educated immigrants entering the U.S. are higher on overage than those entering Canada.

The study referenced a paper that examined the wage gap between immigrants and native-born workers in Australia, Canada and the U.S. It found significant earning gaps in Australia and Canada compared to the U.S. The authors said the tendency for highly-skilled immigrants to choose the U.S. over other countries was a primary factor in their better relative earnings outcomes in the U.S.

More STEM-educated immigrants in Canada

A higher percentage of Canada’s STEM-educated workforce are immigrants compared to the U.S. The number of STEM-educated immigrants who entered Canada rose significantly in the 1990s in response to the high-tech boom, and has remained at high levels since. Canada does not face a general shortage of STEM workers, the study says.

When there’s an abundance of workers, employers may tend to hire STEM graduates from universities that they are familiar with, and who have experience from countries with similar economies to Canada.

Different immigrant selection processes

In order to immigrate to the U.S. as a skilled worker, immigrants typically already have a job offer when they arrive, or they are international students who can be interviewed by prospective employers in the country. Immigrants who entered the U.S. contingent on job offers were more likely to get skilled jobs. Those who entered on a student, trainee, or temporary work visa, had a significant advantage over the native-born population in wages, patenting and publishing. Much of this advantage was due to their comparatively higher levels of education.

Canada’s points-based immigration system, which has been in use since the 1960s, selects economic immigrants based on their human capital. These days, the Express Entry system ranks candidates based on factors like education, work experience, age, and language ability. The highest-scoring candidates get invited to apply for permanent immigration. Though candidates can get extra points for having a job offer, in some cases, it is not required in order to immigrate to Canada.

Canadian employers play a larger role in immigrant selection in the Canadian Experience Class (CEC) federal immigration program, as well as many Provincial Nominee Programs (PNP), than compared to the Federal Skilled Worker Program.

The study found that STEM-educated immigrants that immigrate through the CEC do relatively well compared to others, and those who go through the PNP typically have the poorest outcomes. One major difference is that the CEC requires immigrants to have at least one year of skilled work experience in Canada, whereas the PNP is more varied, and includes pathways for low-skilled and medium-skilled workers to become permanent residents.

Differences in country of education

Country of education is one of the most important determinants of immigrant earnings, along with language and race or visible minority status, the study says.

Country of education may differ significantly among STEM-educated immigrants in Canada and the U.S. STEM immigrants educated in non-Western countries do not do as well, economically, as others. The study suggest this is for a number of reasons, for example, the quality of education may be lower, or perceived to be lower. In the absence of a shortage of STEM workers, employers may prefer to hire those educated in Western counties. Also, some credentials are not recognized by professional associations in the host country, either for valid or invalid reasons, and this may prevent immigrants from developing countries from getting STEM jobs. Language or cultural issues may also prevent immigrants from being able to use their STEM education. Discrimination may also be a factor.

Other factors unrelated to immigration policy

Factors unrelated to immigration policies may also contribute to better outcomes of STEM-educated immigrants in the U.S., for example, the U.S. industrial structure may result in a higher demand for STEM-educated workers in comparison to other countries.

Source: Outcomes of STEM immigrants in Canada and the U.S.

How Iranian immigrants can be role models for diversity in STEM

Of interest:

When I first came to the United States from Iran in 2007 for a doctorate in computer science and machine learning, I was surprised by how few women attended industry conferences. Those I did meet were usually fellow immigrants.

Diversity and gender equality drive creativity and spur innovation across the globe. It’s why the United Nations has declared Feb.11 the International Day of Women and Girls in Science and why the U.S. House of Representatives just launched the first-ever Women in STEM Caucus. The bipartisan initiative, started by four female congresswomen, now has 13 members from both sides of the aisle. The caucus aims to increase the presence of women and underrepresented minorities in STEM across the country.

In Tehran, where I grew up, it’s considered normal for girls to study computer programming from an early age. That culture has opened the door for new generations of female engineers. In fact, in Iran, nearly 70 percent of university graduates in science, technology, engineering and mathematics (STEM) are women.

That’s a sharp contrast with the United States, where women are vastly underrepresented in STEM fields. Data by the Council of Graduate Schools found that in 2018 U.S. women earned only about a quarter of PhDs in engineering, math and computer science. This is at a time when the United States is facing a critical shortage of STEM workers; in 2015, 14 states advertised 20 STEM jobs for every unemployed STEM worker, according to New American Economy. That demand is projected to grow over the next decade.

Today, I’m the executive vice president and chief algorithms officer for Overstock.com, a tech-driven online retailer committed to diversity. As an immigrant and a woman, I bring a wealth of experiences that help me see problems differently. Plenty of data shows women bring skill sets, strategic thinking and creativity valued by businesses. Women also take women’s needs to heart when creating products and services for them, whether it’s heart medication, seat belts or air bags designed for our physiques. Simply put, women are an essential part of the talent pool.

American companies should strive for increased diversity and inclusivity throughout their organizations. Teachers need to create inclusive classrooms that value girls’ and women’s opinions. Those of us in the field can create better representation by hiring and championing female colleagues or requesting female-friendly policies inside the companies where we work. Leaders in our communities also need to do more to encourage women, immigrants and minorities to enter STEM fields. I applaud the Congressional Women in STEM Caucus, whose mandate is to improve access to hands-on learning, technical training and real-world application of skills required in these jobs.

But we also need to remember the value of our personal stories in influencing young lives. If young American women and girls, including immigrants and minorities, are going to embrace STEM, they’re going to need more support and role models. As Caucus Co-Chair Rep. Chrissy Houlahan of West Chester, Pa., said, she was one of 10 women in her engineering major and doesn’t think the numbers have changed much in 30 years.

A 2018 study of 6,000 American young women conducted by Microsoft and KRC Research found that girls who know a woman in STEM are more than 70 percent more likely to know how to pursue a STEM career and what types of specific jobs might utilize a STEM skillset.

The study said parents’ encouragement was particularly influential in whether girls cultivated a love for science and technology and stuck with these fields over time. Likewise those of us already working in these industries can also serve as mentors for them, whether it’s volunteering at coding camps or sharing our enthusiasm for AI and robotics over ice cream.

Or we can simply raise our hands high in our communities and say: “This is what a female coder, engineer, biotech founder, mathematician or science professor looks like. You can be one, too.” That’s especially important, because 30 percent of girls and 40 percent of women described a man when asked what a “typical” scientist or engineer looked like.

As a woman in STEM, an Iranian American citizen and an immigrant, I want to encourage new generations to realize their potential. With any luck, I’ll see many more female faces at industry conferences to come.

Dr. Kamelia Aryafar is executive vice president and chief algorithms officer for Overstock.com.

Source: How Iranian immigrants can be role models for diversity in STEM

Canada must look beyond STEM and diversify its AI workforce

From a visible minority perspective, based on STEM graduates, representation reasonably good as per the chart above except for engineering and particularly strong in math and computer sciences, the closest fields of study to AI.

With respect to gender, the percentage of visible minority women is generally equivalent to that on non-visible minority women or stronger (but women are under-represented in engineering and math/computer sciences):

Artificial intelligence (AI) is expected to add US$15.7 trillion to the global economy by 2030, according to a recent report from PwC, representing a 14 percent boost to global GDP. Countries around the world are scrambling for a piece of the pie, as evidenced by the proliferation of national and regional AI strategies aimed at capturing the promise of AI for future value generation.

Canada has benefited from an early lead in AI, which is often attributed to the Canadian Institute for Advanced Research (CIFAR) having had the foresight to invest in Geoffrey Hinton’s research on deep learning shortly after the turn of the century. As a result, Canada can now tout Montreal as having the highest concentration of researchers and students of deep learning in the world and Toronto as being home to the highest concentration of AI start-ups in the world.

But the market for AI is approaching maturity. A report from McKinsey & Co. suggests that the public and private sectors together have captured only between 10 and 40 percent of the potential value of advances in machine learning. If Canada hopes to maintain a competitive advantage, it must both broaden the range of disciplines and diversify the workforce in the AI sector.

Looking beyond STEM

Strategies aimed at capturing the expected future value of AI have been concentrated on innovation in fundamental research, which is conducted largely in the STEM disciplines: science, technology, engineering and mathematics. But it is the application of this research that will grow market share and multiply value. In order to capitalize on what fundamental research discovers, the AI sector must deepen its ties with the social sciences.

To date the role of social scientists in Canada’s strategy on AI has been largely limited to areas of ethics and public policy. While these are endeavours to which social scientists are particularly well suited, they could be engaged much more broadly with AI. Social scientists are well positioned to identify and exploit potential applications of this research that will generate both social and economic returns on Canada’s investment in AI.

Social scientists take a unique approach to data analysis by drawing on social theory to critically interpret both the inputs and outputs of a given model. They ask what a given model is really telling us about the world and how it arrived at that result. They see potential opportunities in data and digital technology that STEM researchers are not trained to look for.

A recent OECD report looks at the skills that most distinguish innovative from non-innovative workers; chief among them are creativity, critical thinking and communication skills. While these skills are by no means exclusively the domain of the social sciences, they are perhaps more central to social scientific training than to any other discipline.

The social science perspective can serve as a defence mechanism against the potential folly of certain applications of AI. If social scientists had been more involved in early adaptations of computer vision, for example, Google might have been spared the shame of image recognition algorithms that classify people of colour as animals (they certainly would have come up with a better solution). In the same vein, Microsoft’s AI chatbots would have been less likely to spew racist slurs shortly after launch.

Social scientists can also help meet a labour shortage: there are not enough STEM graduatesto meet future demand for AI talent. Meanwhile, social science graduates are often underemployed, in part because they do not have the skills necessary to participate in a future of work that privileges expertise in AI. As a consequence, many of the opportunities associated with AI are passing Canada’s social science graduates by. Excluding social science students from Canada’s AI strategy not only reduces their career paths but restricts their opportunities to contribute to fulfilling the societal and economic promise of AI.

Realizing the potential of the social sciences within Canada’s AI ecosystem requires innovative thinking by both governments and universities. Federal and provincial governments should relax restrictions on funding for AI-related research that prohibit applications from social scientists or make them eligible only within interdisciplinary teams that include STEM researchers. This policy has the effect of subordinating social scientific approaches to AI to those of STEM disciplines. In fact, social scientists are just as capable of independent research, and a growing number are already engaged in sophisticated applications of machine learning to address some of the most pressing societal challenges of our time.

Governments must also invest in the development of undergraduate and graduate training opportunities that are specific to the application of AI in the social sciences, using pedagogical approaches that are appropriate for them.

Social science faculties in universities across Canada can also play a crucial role by supporting the development of AI-related skills within their undergraduate and graduate curriculums. At McMaster University, for example, the Faculty of Social Sciences is developing a new degree: master of public policy in digital society. Alongside graduate training in the fundamentals of public policy, the 12-month program will include rigorous training in data science as well as technical training in key digital technologies that are revolutionizing contemporary society. The program, which is expected to launch in 2021, is intended to provide students with a command of digital technologies such as AI necessary to enable them to think creatively and critically about its application to the social world. In addition to the obvious benefit of producing a new generation of policy leadership in AI, the training provided by this program will ensure that its graduates are well positioned for a broader range of leadership opportunities across the public and private sectors.

Increasing workplace diversity

A report released in 2019 by New York University’s AI Now Institute declared that there is a diversity crisis in the AI workforce. This has implications for the sector itself but also for society more broadly, in that the systemic biases within the AI sector are being perpetuated via the myriad touch points that AI has with our everyday lives: it is organizing our online search results and social media news feeds and supporting hiring decisions, and it may even render decisions in some court cases in future.

One of the main findings of the AI Now report was that the widespread strategy of focusing on “women in tech” is too narrow to counter the diversity crisis. In Canada, efforts to diversify AI generally translate to providing advancement opportunities for women in the STEM disciplines. Although the focus of policy-makers on STEM is critical and necessary, it is short-sighted. Disciplinary diversity in AI research not only broadens the horizons for research and commercialization; it also creates opportunities for groups who are underrepresented in STEM to benefit from and contribute to innovations in AI.

As it happens, equity-seeking groups are better represented in the social sciences. According to Statistics Canada, the social sciences and adjacent fields have the highest enrolment of visible minorities. And as of 2017, only 23.7 percent of those enrolled in STEM programs at Canadian universities were women, whereas women were 69.1 percent of participants in the social sciences.

So, engaging the social sciences more substantively in research and training related to AI will itself lead to greater diversity. While advancing this engagement, universities should be careful not to import training approaches directly from statistics or computer science, as these will bring with them some of the cultural context and biases that have resulted in a lack of diversity in those fields to begin with.

Bringing the social sciences into Canada’s AI strategy is a concrete way to demonstrate the strength of diversity, in disciplines as well as demographics. Not only would many social science students benefit from training in AI, but so too would Canada’s competitive advantage in AI benefit from enabling social scientists to effectively translate research into action.

Source: Canada must look beyond STEM and diversify its AI workforce

Immigrant kids in U.S. deliberately build STEM skills


Similar pattern in Canada (chart above looks at Canadian-born visible minority university and college graduates compared to Not VisMin):

U.S. immigrant children study more math and science in high school and college, which leads to their greater presence in STEM careers, according to new findings from scholars at Duke University and Stanford University.

“Most studies on the assimilation of immigrants focus on the language disadvantage of non-English-speaking immigrants,” said Marcos Rangel, assistant professor at Duke’s Sanford School of Public Policy. “We focus instead on the comparative strength certain immigrant children develop in numerical subjects, and how that leads to majoring in STEM subjects in college.”

About 20 percent of U.S.-born college students major in STEM subjects. Yet those numbers are much higher among immigrants — particularly among who arrive the U.S. after age 10, and who come from countries whose native languages are dissimilar to English, Rangel said. Within that group, 36 percent major in STEM subjects.

“Some children who immigrate to the U.S., particularly older children from a country where the main language is very dissimilar to English, quite rationally decide to build on skills they are relatively more comfortable with, such as math and science,” said Rangel.

Those older immigrant children take more math and science courses in high school, the authors found. Immigrant children arriving after age 10 earn approximately 20 percent more credits in math-intensive courses than they do in English-intensive courses.

This focus continues in college, where immigrant children are more likely to pursue science, technology, engineering and math majors. Those majors, in turn, lead to careers in STEM fields. Previous research has shown that immigrants are more highly represented in many STEM careers.

“Meaningful differences in skill accumulation … shape the consequent contributions of childhood immigrants to the educated labor force,” the authors write.

Source: Immigrant kids in U.S. deliberately build STEM skills

AI and the Automation of Jobs Disproportionately Affect Women, World Economic Forum Warns

Interesting analysis of gender and AI:

Women are disproportionately affected by the automation of jobs and development of artificial intelligence, which could widen the gender gap if more women are not encouraged to enter the fields of science, technology and engineering, the World Economic Forum warned on Monday.

Despite statistics showing that the economic opportunity gap between men and women narrowed slightly in 2018, the report from the World Economic Forum finds there are proportionally fewer women than men joining the workforce, largely due to the growth of automation and artificial intelligence.

According to the findings, the automation of certain jobs has impacted many roles traditionally held by women. Women also continue to be underrepresented in industries that utilize science, technology, engineering and mathematics (STEM) skills. This affects their presence in the booming field of AI. Currently, women make up 22% of AI professionals, a gender gap three times larger than other industries.

“This year’s analysis also warns about the possible emergence of new gender gaps in advanced technologies, such as the risks associated with emerging gender gaps in Artificial Intelligence-related skills,” the report’s authors write. “In an era when human skills are increasingly important and complementary to technology, the world cannot afford to deprive itself of women’s talent in sectors in which talent is already scarce.”

The World Economic Forum report ranked the the United States 51st worldwide for gender equality — above average, but below many other developed countries, as well as less-developed nations like Nicaragua, Rwanda and the Philippines. Women in the U.S. had better economic opportunities than those in Austria, Italy, South Korea and Japan, according to the World Economic Forum.

The U.S. fell two spots from its ranking 2017. While the gender gap improved slightly in economic opportunity and participation, the gap between men and women regarding access to education and political empowerment reversed, in part due to a decline in gender equality in top government positions.

The World Economic Forum, which is known for its annual conference in Davos, Switzerland, measured the gender gap around the world across four factors – political empowerment, economic opportunity, educational attainment and health and survival – to find that the gap has closed 68%, a slight improvement from 2017, which marked the first year since 2006 that the gender gap widened.

As the gender gap stands now, it will take about 108 years to close completely and 202 years to achieve total parity in the workplace.

Source: AI and the Automation of Jobs Disproportionately Affect Women, World Economic Forum Warns

Why Immigrants Do Better At Science And Math : NPR

Intuitively makes sense but nice to have more evidence that it is so:

Seventeen-year-old Indrani Das just won the top high school science prize in the country. Das, who lives in Oradell, N.J., took home $250,000 from the former Intel Science Talent Search, now the Regeneron Science Talent Search, for her study of brain injuries and neuron damage. In her spare time, she’s already working with patients as a certified EMT.

As the Times of India pointed out, Das was one of five Indian Americans among the competition’s top ten finishers. In last year’s contest, according to one study, more than 80 percent of finalists were the children of immigrants.

What is it that spurs so many recent arrivals to the United States to excel in science, technology, engineering and math, or STEM disciplines? Some invoke cultural stereotypes, like that of the “Tiger Mother,” for an explanation.

Not Marcos Rangel. For a new study published in the journal Demography, Rangel, an economist at Duke University, and his co-author, Marigee Bacolod of the U.S. Naval Postgraduate School, looked at U.S. Census data for young adults who arrived in the United States before age 18. The data covers in detail the relative skills required for different occupations, such as physical strength, communication skills, social skills, math and reasoning. For those who went to college, they were also able to see what major they chose.

“If it were just as easy for me to write with my left hand as with my right, I would be using both. But no, I specialize,” Rangel says. In the same way, academically motivated students who have to play catch-up in English class may prefer to zoom ahead in the universal language of mathematics.

(By the way, Das, not a late arrival, is a former spelling bee champion as well as a science whiz.)

Rangel, who came here from Brazil as a young father, has seen this dynamic play out in his own family. “The younger one, who went to Pre-K in English, is different from my kid who came at five already reading Portuguese,” he says. The older one is more inclined toward math.

To be clear, Rangel doesn’t discount the notion that cultural values may also influence immigrants’ career choices. But he is out to tell a more nuanced story — “a movie, not just a photograph,” he says — of how people develop different skills and talents.

Source: Why Immigrants Do Better At Science And Math : NPR Ed : NPR

Sex differences in academia: University challenge | The Economist

Interesting analysis of the some of the unconscious beliefs and habits that may undermine efforts to increase diversity within STEM disciplines:

All this raises interesting and awkward questions. It may be unpalatable to some, but the idea that males and females have evolved cognitive differences over the course of many millions of years, because of the different interests of the sexes, is plausible. That people of different races have evolved such differences is far less likely, given the youth of Homo sapiens as a species. Prejudice thus seems a more plausible explanation for what Dr Leslie and Dr Cimpian have observed. But prejudice can work in subtle ways.

It could indeed be that recruiters from disciplines which think innate talent important are prejudiced about who they select for their PhD programmes. It could instead, though, be that women and black people themselves, through exposure to a culture that constantly tells them (which research suggests it does) that they do not have an aptitude for things like maths and physics, have come to believe this is true.

If that is the case (and Dr Leslie and Dr Cimpian suspect it is), it suggests that a cultural shift in schools and universities, playing down talent and emphasising hard work, might serve to broaden the intake of currently male-dominated and black-deficient fields, to the benefit of all.

Sex differences in academia: University challenge | The Economist.