Visualising Informationfor Advocacy’ (Tactical Tech 2014) include accessible how-to guides on data and designand reviews of visualization tools.
I'm curious as to how these approaches can be unbiased?
Visualising Informationfor Advocacy’ (Tactical Tech 2014) include accessible how-to guides on data and designand reviews of visualization tools.
I'm curious as to how these approaches can be unbiased?
harnessed to inform decision making and to tell powerful stories.
The power of data lies in how the story can be told! I appreciate how a spreadsheet with numbers too complex to understand can be turned into a visual that informs a story.
Visualization also supports diverse learning styles.
Whiteresearchers are overwhelming among this groups of gatekeepers to the peer‐reviewed publication process
How can this be paired with consumership of research as we work to diversify STEM fields.
Wiley provides three modules on peer‐reviewertraining, including the role of reviewers in peer review, the peer review report, and the outcomes of peer review.The modules emphasized eight attributes and five responsibilities of peer‐reviewers,
Excellent. Reading this makes me excited about possibly being a peer reviewer one day.
caution readers frompresuming female faculty in science education are likely thriving compared to their male counterparts indisseminating their research in venues where peer review acts as a gatekeeper.
A sad reality to many fields STEM being greatly impacted but in reflecting on our history it , but sense. Within a century, we have made great progress in creating more opportunities for women.
Unbiased evaluation of the manuscript can be promoted in the peer‐review process when editors assignreviewers who use similar epistemologies
Does this result in more dominant and euro enteric ideologies?
The pressureincludes placing these publications in high impact journals as the impact factor of the journal is currently one widelyaccepted measure of a scholar's impact on their field. It also builds a reputation for the scholar and their institutionin the wider academic community
This pressure is also what contributes to inequalities and less opportunities for students from marginalized communities.
It is paradoxical that the liberatory promise of education is tied to the waythat settler colonialism manifested in the educational state in the US asa tool of assimilation.
On one hand, education is often perceived as a liberating force, offering opportunities for empowerment and self-realization. However, this promise of liberation is juxtaposed with the historical reality that education has been wielded as a tool of assimilation by the colonial state, particularly aimed at Indigenous communities. Settler colonialism, through the educational system, sought to impose cultural hegemony and erase Indigenous identities, thereby undermining the very liberatory potential that education ostensibly offers. This paradox underscores the complex interplay between education, power dynamics, and colonial legacies in shaping societal structures and ideologies.
As a result, ourconcept of equity-mindedness in data science sits at multiple intersections
Equity-mindedness in data science encompasses a complex framework that intersects various dimensions, including social justice, ethics, diversity, and inclusion. This holistic perspective acknowledges the interconnectedness of factors within data analysis and decision-making processes.
hese reflectionshave an ability to result in the identification of various intersections that canhelp speak to the various themes and realities rooted in possible futures fora more equity-minded data science practice
This highlights the capacity of reflections to uncover intersections within data science, facilitating discussions on themes and realities pertinent to fostering equity in future data science practices.
he dominant perspective, which often leads to racist and sexist interpretations
I find this quite interesting as if our minds operate on autopilot to the dominant perspective.
Gaps in student performance result from systems-wide policies and approaches that implicitly and explicitly disadvantage broad groups of students, particularly those that do not identify as white men.
This highlights the correlation between systemic policies and approaches in education and the resulting performance gaps among students, emphasizing the role of policies. The implication is that addressing these systemic issues is crucial to achieving equity and ensuring that all students have equal opportunities for success in education.
these devastating and brutal events reflect under-lying systemic inequities that exist across the globe
Brutal events in our communities against minorities raise important questions about systemic inequities on a global scale, prompting further questions of the underlying structural factors contributing to these injustices within societies and institutions. As a consumer of this knowledge I want to understand better and be part of the community working to address these systemic issues to foster more equitable and just societies.
The ED’s recent report identified three areas in which TEA practices conflicted with federal law (ED, 2018).
Its unfortunate and yet very common that systems, policies and bureaucracies prevent or become barriers for doing what is best for students..
show clear cause-and-effect relationships that identify patterns of bias and discrimination in policy implementation or reveal the effects of systems of oppression on historically underserved students
How can equity audits be used to address potential biases
Second, more broadly, we suggest faculty in preparation programs consider, at the programmatic level,
I appreciate this level of preparation programs. As a leader in education systems this is something that I haven't learned on the job but greatly need to creation social justice in education spaces.
On the one hand, studies show students of color are disproportionately represented in special education, which often leads to exclusion from the general education classroom
Could this be a failure in a system that was not intended fo teach all students but rather tailored to a specific group or race of students?
ducational data offer a powerful tool for supporting equity.
I am already curious, sometimes the data needs a deeper assessment or breakdown to actually lead to equity.
This is a powerful myth that continues to live in schools. Yet, by every indicator we can see that poor families and families of color actually place a higher value on education than more education savvy pa
The "poor" families values of education may be driven by the success and opportunities known to come with advanced education, that many have not been privileged to.
pport. This achievement gap that we bemoan is something that we have helped to create
Our values as a society and education system not only create this but we also perpetuate but not changing systems, not disrupting policies and dismantling the oppressions we engage in.
"demand success.
Imagine if this was the expectation set for all students.
ars would pick them up. On back-to-school night almost all of my Black p
Parent care, the real question is do educators care. Care enough to understand the community their students are from, to understand parent dynamics and remove barriers for their participation or do we just make excuses?
, we can still walk into schools and hear the following explanations for poor students' of color school failure
Our education has to unify to dismantle these beliefs one educator at a time.
The wealth gap is also not discussed. Over the last 7 years, the number of children living in poverty in the U.S. has grown by 1 1.3% to approach 13 million.
In my opinion statements like this speak to the societal values the "wealthiest" country has. Childhood poverty should not exist in one of the top nations.
tudents in low-performing schools rarely have the health benefits that students in high-performing schools do.
As a society, as an education system how are WE looking at the whole child. Learning does not happen in isolation of the health (physical and mental), family life, community etc all of which contribute to how our students show up in our schools each day.
wealth disparity better reflects the education debt.
Is this the debt that our education debt set upon on students of color that is perpetuated year after year.
. The persistent under-funding of schools serving Black and Brown children has had a pernicious effect on the earning ratios of Black and Brown people related to years of schooling.
Our education systems are perpetuating negative affects for brown and black students, was this intentional or is this something our education systems are aware of and refuse to take action on?
onstructing our current concern as an achievement gap is both substantive and semantic. L
The problem is a society constructed achievement gap.
ountain of debt we have amassed at the expense of entire groups of people and their subsequent generations.
Mountain of debt for generations- very interesting perspective and yet very accurate to what we see in society specifically for BIPOC communities.
chievement gap discourse keeps us locked in the deficit paradigm. T
Exactly- why are we so stuck on the deficit aspects between our white and brown and black students?
fter answering the questionnaire,convicts are categorized as high, medium, and low risk on the basis of thenumber of points they accumulate.
Another example of how our systems continue to oppress individuals based on data sets created by WHO and with what PURPOSE?
Needless to say, racists don’t spend a lot of time hunting down reliabledata to train their twisted models.
Racists will present the data that is convenient to them, even if that means depicting others negatively.
designed the model but also what that person or company is trying toaccomplish
What is trying to be accomplished is important as well as being able to communicate that and ensure alignment with others involved.
That’s when I’dstart to formalize my model, making it much more systematic and, insome sense, mathematical. And if I were feeling ambitious, I might put itinto a computer program
Serious math nerd!
They draw statistical correlations between a person’s zip code or languagepatterns and her potential to pay back a loan or handle a job.
This is incredibly sad but visible in our BIPOC communities.
data set athand,
I've always wondered the statistics in sports, I am seeing everything that has numbers becomes data, statistical, etc.
Science in August, concluded that a person’s genes can-not predict
So this bias was towards behaviors commonly observed in individuals sexuality.
“We’ve tested them and known that they’re horrible, but we still use them to make really important decisions every day.”these unregulated tools can harm individu-als and society, causing anxiety, unneces-sary medical expenses, stigmatization and worse. “It’s the Wild West of genetics,” says Erin Demo, a genetic counsellor at Sibley Heart Center Cardiology in Atlanta, Georgia. “This is just going to get harder and harder.”Bellenson posted his app on GenePlaza, an online marketplace for DNA-interpretation tools, in early October. For US$5.50, a person could upload their genetic data — as supplied by consumer DNA sequencing companies such as 23andMe of Mountain View, Califor-nia — and the app would place them along a Nature | Vol 574 | 31 October 2019 | 609©2019SpringerNatureLimited.Allrightsreserved.©2019SpringerNatureLimited.Allrightsreserved.
This is heart breaking. The feeling of helplessness. These are not just numbers, there are people behind these numbers whose lives are being affected.
We are still using these algorithms called humans that are really biased,”
Yes, we are and how can systems be created to check or point our areas of biases similar to how we have plagiarism checks in writing.
machine-learning systems were biased
Of course they are going to still be biased if they are created by someone with biases. There should be a system that checks, triple checks for biases.
This is in part because of a lack of diversity among algorithm designers, and a lack of train-ing about the social and historical context of their work,
This statement prompts me to think of what preparation programs for developers of algorithms are like, is their and equity and racial justice component to help them understand how their biases, and historical context show up or influence their work.
How do you work around the bias and injustice that is inherent in that society?”
Key word BIAS. I am feeling like algorithms are intended to create a bias but how can this be created in ways that still have the interest of people in mind, especially those impacted or will there always be a biased towards someone?
“The cost model is just one of many data elements intended to be used to select patients for clinical engagement programs.”
Does this mean that the intention of the model shifted away from what they originally intended therefore now it no longer works?
“It is alarming,” says Gianfrancesco of a greater prevalence of conditions such as diabetes, anaemia, kidney failure and high blood pressure. Taken together, the data showed that the care provided to black people cost an average of US$1,800 less per year than the care given to white people with the same number of chronic health problems.The scientists speculate that this reduced access to care is due to the effects of systemic racism, ranging from distrust of the health-care system to direct racial discrimination by health-care providers.And because the algorithm assigned people to high-risk categories on the basis of costs, those biases were passed on in its results: black people had to be sicker than white people before being referred for additional help. Only 17.7% of patients that the algorithm assigned to receive extra care were black. The researchers calculate that the proportion would have been 46.5% if the algorithm was unbiased.When Obermeyer and his team reported their findings to the algorithm’s develop-ers — Optum of Eden Prairie, Minnesota — the company repeated their analysis and got the same results. Obermeyer is working with the firm without salary to improve the algorithm.He and his team collaborated with the company to find variables other than health-care costs that could be used to calculate a person’s medical needs, and repeated their analysis after tweaking the algorithm accord-ingly. They found that making these changes reduced bias by 84%.“We appreciate the researchers’ work,” Optum said in a statement. But the company added that it considered the study’s conclu-sion to be “misleading”. “The cost model is just one of many data elements intended to be used to select patients for clinical engagement programs.”Obermeyer says that using cost prediction to make decisions about patient engagement is a pervasive issue. “This is not a problem with one algorithm, or one company — it’s a prob-lem with how our entire system approaches this problem,” he says.Examining assumptionsCorrecting bias in algorithms is not straight-forward, Obermeyer adds. “Those solutions are easy in a software-engineering sense: you just rerun the algorithm with another variable,” he says. “But the hard part is: what is that other variable? How do you work around the bias and injustice that is inherent in that society?”This is in part because of a lack of diversity among algorithm designers, and a lack of train-ing about the social and historical context of their work, says Ruha Benjamin, author of Race After Technology (2019) and a sociologist at Princeton University in New Jersey.“We can’t rely on the people who currently design these systems to fully anticipate or mitigate all the harms associated with Black people were less likely than white people to be sent for personalized care, a study found.the latest study. “At the same time, it’s not surprising.
So we are aware of the harmful affects of algorithms and still allowed to use them.
. Hospitals and insurers use the algorithm
This makes me wonder why even hospitals have equity and diversity officers and what their roles might be in dismantling harmful algorithms.
Christine Darden would go on to conduct groundbreaking research on sonic boom minimization techniques, author more than sixty scientific papers in the field of computational fluid dynamics, and earn her PhD in mechanical engineering—all while “juggling the duties of Girl Scout mom, Sunday school teacher, trips to music lessons, and homemaker,” Shetterly.d-undefined, .lh-undefined { background-color: rgba(0, 0, 0, 0.2) !important; }dot reports.
Wow! As a mother, a leader, wife and student I feel SEEN by this statement. I am inspired, and motivated to continue on my journey. AND I see how much we as women take on and do and still we fight for to be seen in society amongst the more dominant gender.
After working at Langley for a number of years, she began to notice two distinct patterns in her workplace: men with math credentials were placed in engineering positions, where they could be promoted through the ranks of the civil service, while women with the same degrees were sent to the computing pools, where they languished until they retired or quit.d-undefined, .lh-undefined { background-color: rgba(0, 0, 0, 0.2) !important; }21dot1.
This statement brings forth the challenges we still see today in gender equity pay and the differences in roles.
begun to receive credit for their crucial work, thanks to scholars of the history of computing.d-undefined, .lh-undefined { background-color: rgba(0, 0, 0, 0.2) !important; }1Roujia Wang—and to journalists like Margot Lee Shetterly, whose book, Hidden Figures: The American Dream and the Untold Story of the Black Women Who Helped Win the Space Race, along with its film adaptation.d-undefined, .lh-undefined { background-color: rgba(0, 0, 0, 0.2) !important; }1Fagana Stone, is responsible for bringing Christine Darden’s story into the public eye
As a Latina, I am appreciative of efforts made by other women to raise awareness of the significant contributions of women who played pivotal roles in advancing NASA’s missions. But also question why society didn’t honor such contributions sooner. That’s says a lot about what society values.
Two years later, it would be her precise analysis of the physics of rocket reentry that would help to ensure the successful return of the Apollo 11 mission from the moon, effectively winning the space race for the United States
The power of women! I feel so proud, and can imagine the monumental impact and life altering impression this made in the nation. I recall watching a documentary highlighting the challenges women involved in NASA experienced.
1967..d-undefined, .lh-undefined { background-color: rgba(0, 0, 0, 0.2) !important; }1nyah bean Her newly minted master’s degree in applied math had earned her a position as a data analyst there.d-undefined, .lh-undefined { background-color: rgba(0, 0, 0, 0.2) !important; }dot. In
Women in math is very impressive to me. I can imagine that in 1967 there were far less women in stem fields than there are today and though great strides have been made we have work ahead to advance gender equity.