Studies at the center will be focused on addressing racial bias in artificial intelligence-driven credit approval processes. International Journal of Population Data Science, Vol. By Larry Hamilton. The researchers used data drawn from successful mortgage applicants in Boston in 1990, collected under the Home Mortgage Disclosure Act. The importance of talking about—and collecting data on—race to improve racial equity. We have assembled a public database of criminal sentence decisions made in federal district courts called JUSTFAIR: Judicial System Transparency through Federal Archive Inferred Records. Howard University is a recipient of a $5 million grant that will support the creation of the college's new center for data science aimed at driving racial equity in economics and healthcare . The Urban Institute's Racial Equity Analytics Lab (REAL) equips today's change agents with data and analyses to advance social and economic policies that help remedy persistent structural racism.We believe more thoughtful, race-conscious policies and practices have the power to forge new avenues of opportunity and prosperity for Black, Latino, Native American, Asian American, Pacific . Abstract: Among the principles for ethical and responsible AI none is more prominent than the "fairness and non-discrimination" principle, that is, the idea that data-based systems like AI/ML should avoid unjust impacts on people, especially those from historically marginalized populations. Sitting in the Farwell T. Brown Auditorium at the Ames Public Library, residents asked Huff about use of force policies, data transparency and racial equity, among other issues. Christine Spolar. At this Research on Tap, attendees heard from BU data scientists engaged in research that uncovers racial inequity in a variety of contexts and provides a data-driven pathway to an equitable society. Workforce Equity at the County of Santa Clara . Collect the right location, demographic, and operational data needed to support racial equity. The Data Equity Framework provide you the tools to achieve that. Jared is thrilled to be one of five inaugural advisors for the Racial Equity Data Hub, an ambitious and existing new initiative led by the Tableau Foundation.From the website: Tableau Foundation is hosting the Racial Equity Data Hub to share insights from leading experts at the intersection of data and equity issues, and to inspire anyone to effectively and ethically use data to advocate for . Executive Order On Advancing Racial Equity and Support for Underserved Communities Through the Federal . Through a $5 million grant, Mastercard will support the creation of the Center for Applied Data Science and Analytics (CADSA) on Howard's campus focused on addressing racial bias in AI-driven credit approval processes. Racial Equity in Towards Data Science on Medium. Date Wednesday, February 10, 2021 Time 1-2:30 p.m. Data analysis and behavioral science also can help improve the equity and effectiveness of new policies and programs. "Racial equity is about applying justice and a little bit of common sense to a system that's been out of balance. But the toolkit was years in the making, and the years spent clawing for equity in administrative data practice informed it. The US public has a constitutional right to access criminal trial proceedings. Racism is a widespread, deeply entrenched, and damaging presence in the United States . 2021 . Not so long ago, the word "race" was something that many people shied away from—a four-letter word not to be spoken in polite company. Update policies and laws to reflect changing circumstances and constituent needs, especially in cases in which existing ones pose barriers to access. Use maps and dashboards to recognize opportunities to increase equity in your community. Prior to her work at ORE, Hannah worked most recently as a data scientist and data engineer on a product making regulations and laws easier to analyze and use. Through a $5 million grant, Mastercard will support the creation of the Center for Applied Data Science and Analytics (CADSA) on Howard's campus focused on addressing racial bias in AI-driven credit approval processes. The Washington State Office of Equity is committed to using data systems that decolonize and disaggregate the structural and racial barriers to equity engrained in data. 13985, Advancing Racial Equity and Support for Underserved Communities Through the Federal Government, states the Administration policy to "pursue a comprehensive approach to advancing equity for all, including people of color and others who have been historically underserved, marginalized, and adversely affected by persistent poverty . Office of Science and Technology Policy . We think that data science has the power to provide better questions, better answers, and better solutions for everyone at a pace, accuracy and scale that could literally save the world. CADSA is an interdisciplinary hub at Howard University that will include a master's degree in applied data science and a thought leadership series on racial equity and inclusive growth. This includes the creation of Your home for data science. The importance of talking about—and collecting data on—race to improve racial equity. Since making these commitments, RTI has made tremendous progress in its efforts and continues to pursue racial justice. In the Fall of 2020 the Division for Diversity, Equity, and Inclusion hosted a four-part dialogue series called "Remembering for Our Future" to examine the history of race, racism, and racial ideas at the University. This blog offers guidance on how to visually present data in ways that consider racial equity, including suggestions on language to use, treatment of missing groups, selection of colors and icons, and reflection of lived experience. . Data and science are our tools; law enforcement and communities are our partners. An introduction to racial literacy was also developed as a presentation for departments and groups. Planning includes all work to prepare for future stages, such as identifying stakeholders, convening work groups, articulating a mission or purpose for data integration, developing understanding of the local and historical context, creating ethical guidelines, and developing a project plan. Computational Social Science Forum Date: Tuesday, September 28, 2021 Time: 4:00-5:00 PM Pacific Time Location: Virtual Participation - Register to attend via Zoom Ethics and Empathy in Using Imputation to Disaggregate Data for Racial Equity Speakers: Alena Stern, Senior Data Scientist, and Ajjit Narayanan, Data Scientist, Urban Institute Abstract: Disaggregating data by race and ethnicity is . Mastercard Partners With Howard University to Drive Racial Equity Through Data Science. An introduction by Ibram X. Kendi and Azer Bestavros to BU's Research on Tap event titled "Data Science for Racial Equity". Track and measure the impact of actions. Racial Equity in Towards Data Science on Medium. One Year Later and Beyond. The Biden-Harris Administration's emphasis on health equity brings an additional perspective to this issue. Published Sep 2, 2016. Darlene Flynn, community activist and Director of the Department of Race and Equity in Oakland, California, explains how governments and businesses are tackling racial inequity across their organizations. Racial Equity in STEM Education Program Description Goals •Advance the science & promotion of racial equity in STEM •Substantively contribute to removing systemic barriers that impactSTEM education, the STEM workforce, & scientific advancement •Institutionalize effective & inclusive environments for STEMlearning, STEM Data Science Proved What Pittsburgh's Black Leaders Knew: Racial Disparities Compound COVID Risk by Pamela Dahlen | Jan 9, 2022 | Community , Covid , News Members of the Black Equity Coalition, a grassroots team of researchers and advocates, meet regularly to discuss how they can use data to uncover life-threatening disparities between white . Howard University is receiving a donation of $5 million from Mastercard that will be used to establish a data science and analytics center. Join the "Build Health Equity with Data Science" webinar to learn how RTI Rarity takes an "artificially intelligent" approach to risk adjustment for local social determinants of health (SDoH). Jason is a biostatistician, data scientist, and health researcher who leads the Research Design and Analytics team in Abt Data Science, Surveys, and Enabling Technologies division. Data Science Proved What Pittsburgh's Black Leaders Knew: Racial Disparities Compound COVID Risk. Editor's note: Find the latest COVID-19 news and guidance in . Data Science Research Bazaar: Data Science for Racial Equity Interactive Discussions Event Details. Racial Equity 2030 Racial Equity 2030 is a ten-year transformative public-private partnership lead by the University of Florida (UF) which links together our community's anchor institutions, for-profit and non-profit organizations, community influencers and change-agents to radically transform opportunities for upward mobility and racial equity for families, individuals and children of color . Scientific and technological advances have profoundly transformed our longevity and quality of life. RAND's work on racial equity policy is growing and extends across disciplines and research areas. Mastercard and Howard University are pleased to announce today a new dimension to their partnership with a $5 million grant from Mastercard that will support the creation of . Managing Director, Center for Law, Information and Creativity at Northeastern University . A Medium publication sharing concepts, ideas and codes. Title: Designing AI for Racial Equity: Translating Ethics into Practice. E.O. We All Count wants to be clear: we LOVE data. Racial equity is the condition where one's racial identity no longer influences how one fares in society. Workforce Equity at the County of Santa Clara . Atlantic Fellows®️ Toward fairer, healthier, more inclusive societies. Hours. Welcome! 2021 Atlantic Fellows for Racial Equity July 28, 2021 United States, Technology, Data Science. This course addresses the organizational, institutional, and public policy foundations of stratification and racial inequality in the United States, particularly racial equity as a key value, measure, and framework for preparing and implementing local economic development plans and policies. Additional speakers will cover the following topics: How data science can be used to understand racial health disparitiesHow data science with biased data exacerbates Solution: The Racial Equity Lab is a public-facing website that will improve access and interpretation of community indicators, increase transparency into how government is making progress towards racial justice commitments, and advance coordination across departments in reaching out to BIPOC communities. REAL has unique expertise at the intersections of racial equity, data science, policy simulation, and quick-turnaround research across a wide range of program areas, as well as uniquely strong capacity to work simultaneously with government officials and diverse networks of experts, advocates, and practitioners. -. Speakers: Alena Stern, Senior Data Scientist, and Ajjit Narayanan, Data Scientist, Urban Institute Abstract: Disaggregating data by race and ethnicity is a critical method for shining . Short Article Mastercard Partners With Howard University to Drive Racial Equity Through Data Science Through a $5 million grant, Mastercard will support the creation of the Center for Applied Data Science and Analytics (CADSA) on Howard's campus focused on addressing racial bias in AI-driven credit approval processes. data use with a racial equity lens, that supports power sharing and building across agencies and community members. The philanthropic funding, delivered by the Mastercard Impact Fund, is part of Mastercard's $500 million, five-year In-Solidarity commitment to advance racial equity and economic opportunities for Black Americans, to increase access and usage of appropriate financial services and to expand access to capital and resources for Black-owned . As one way to demonstrate RAND's commitment to advancing equity, several projects focused on racial and ethnic equity were funded in late 2020 by gifts from RAND supporters, income from operations, and independent research and development provisions of RAND . data use with a racial equity lens, that supports power sharing and building across agencies and community members. In practice, it is difficult to exercise this right as well as to quantitatively study federal sentencing disparities. Our aim is to bridge the divide created by communication problems, suffering and generational mistrust, and forge a path towards public safety, community trust, and racial equity. Tableau Foundation is hosting the Racial Equity Data Hub to share insights from leading experts at the intersection of data and equity issues, and to inspire anyone to effectively and ethically use data to advocate for change. Most law professors do not fully understand what active learning . Racial Equity: How Technology Can Accelerate Social Justice. Mastercard partners with Howard University to drive racial equity through data science Through a $5 million grant, Mastercard will support the creation of the Center for Applied Data Science and . *Important to note that this peer-reviewed journal article is open access. Despite this, entry into the data science field has been severely unequal, particularly along racial and gender lines. Similarly, "racial equity" and "racial . Course description. Racial equity in planning. Instill a culture of shared responsibility among DSI staff, faculty, and researchers for upholding the DSI commitment to racial equity and justice. Applying Racial Equity Awareness in Data Visualization Urban Institute, 2020. RTI Staff react to RTI's racial justice and equity commitments in November, 2020. Research with animal models and other basic science can address the biological underpinnings of racial disparities (e.g., by studying adversity and stress). In the wake of a global reckoning with the effects of systemic racism, economic and social injustice, the field of data science offers a valuable opportunity to meaningfully advance equity and inclusion. Capturing racial/ethnic diversity in population-based surveys: data disaggregation of health data for Asian American, Native Hawaiian, and Pacific Islanders (AANHPIs). Dr. Ibram X. Kendi Co-Hosts Research on Tap: Data Science for Racial Equity. When a system is out of balance, people of color feel the impacts most acutely, but, to be clear, an imbalanced system makes all of us pay." ~ Glenn Harris, President, Race Forward and Publisher, Colorlines At Race Forward, we define racial equity as both an Similarly, our applied social and data science research team—The Lab @ DC in the Executive Office of Washington, D.C., Mayor Muriel Bowser—has asked, "Is our work propping up or chipping away at racism?". Latest stories tagged with Racial Equity in Towards Data Science on Medium. Data Science Racial Equity Advisory Committee Administration Academic Programs, Student Services and Career Management Communications Development Finance and Research Operations Strategic Initiatives and Engagement Columbia-IBM Center for Blockchain and Data Transparency Northeast Big Data Innovation Hub . Originally published by the Center for Effective Philanthropy (CEP) . The Role of Science in Advancing Racial Equity. As we discuss large structural changes to things like policing, housing . Recognizing the need to increase the power of science and science engagement to serve the public good, civic science seeks to redress systemic racism and other forms of marginalization to advance a more inclusive, diverse, equitable, and resilient future. As a policy and data analyst with the Office of Racial Equity (ORE), she collaborates with agencies to build capacity in data disaggregation and evaluation by race and ethnicity. Jason Brinkley: It's great to be here. The main aim of this study is to examine how regional variations in racial climate . Civic Science Resources for Racial Equity. Computational Social Science Forum Date: Tuesday, September 28, 2021 Time: 4:00-5:00 PM Pacific Time Location: Virtual Participation Ethics and Empathy in Using Imputation to Disaggregate Data for Racial Equity. Despite increases in grantmaking for racial equity and racial justice, funding remains inadequate to the scale of longstanding racial disparities and does not address the needs of the movement, a report from the Philanthropic Initiative for Racial Equity (PRE) finds.. Based on data from Candid, which worked with PRE over the past year to expand Candid's definition of funding for racial equity . Manage and analyze the performance of initiatives, services, and related data to understand and measure their impact. Originally published by the Center for Effective Philanthropy (CEP) . Similarly, "racial equity" and "racial . Drawing from a national dataset with over 150 small-area measures, RTI Rarity uses random forest models to understand life expectancy at birth . Packed with strategies, stories, resources and activities, the tool kit aids organizations in deliberately applying a race equity lens when using, disseminating and integrating administrative data . Dr. Ibram X. Kendi Co-Hosts Research on Tap: Data Science for Racial Equity. Data science can be applied to various disciplines and catalyze social change. Esri's David Gadsden investigates how mapping and sophisticated analysis can . Jared is thrilled to be one of five inaugural advisors for the Racial Equity Data Hub, an ambitious and existing new initiative led by the Tableau Foundation.From the website: Tableau Foundation is hosting the Racial Equity Data Hub to share insights from leading experts at the intersection of data and equity issues, and to inspire anyone to effectively and ethically use data to advocate for . The new Center for Applied Data Science and Analytics will include a master's degree in applied data science, as well as a discussion series on racial equity and inclusive growth, to support . In open science projects, NIH must act as a gatekeeper to control how the data are used and establish protocols to act when data are used inappropriately. They selected the dataset, nearly 30 years old, because it was readily available and included demographic information about applicants, along with the interest rates they received on home loans. Using county data, the Black Equity researchers found a sobering racial gap in the Pittsburgh area: Black residents of Allegheny County saw disproportionate hospitalization rates — and were more likely to land in the ICU or on a ventilator — in the pandemic. Establishing an Equitable Data Working Group. RAND Racial Equity Policy Projects . The racial equity toolkit was released in late May, just as conversations about racial justice started to take place more broadly, following the killing of George Floyd. Past Event Data Science for Racial Equity Research on Tap: Data Science for Racial Equity (2021) Faculty Hosts: Azer Bestavros, Associate Provost, Faculty of Computing & Data Sciences, and Ibram X. Kendi, Director and Founder, Center for Antiracist Research The need for research that exposes racist policy implications and informs policy makers and the public on antiracist alternatives could . The Constance and Martin Silver Center on Data Science and Social Equity supports scholarship and early development of innovations in the field of data science for social equity impact, including studies harnessing big data and using artificial intelligence. Acknowledging that systemic change takes time, RTI is invested for the long term in creating equity, diversity . Racial equity is the condition where one's racial identity no longer influences how one fares in society. Laura Peck: Thanks for . The keynote speaker is Dr. Robert Winn, director of the VCU Massey Cancer Center and PI of the NIH All of Us Research Program. Over the past several months, many organizations have taken a critical look at racial equity in their work. January 28, 2022. This includes the creation of Latest stories tagged with Racial Equity in Towards Data Science on Medium. At this Research on Tap, attendees heard from BU data scientists engaged in research that uncovers racial inequity in a variety of contexts and provides a data-driven pathway to an equitable society. Click here to read our Data . He specializes in machine learning, customized data visualizations, maps, and dashboarding. About the Racial Equity Data Hub. We take a slightly different perspective than Tangible, empirical evidence obtained from data-driven cognitive learning science research demonstrates that active learning not only improves learning outcomes for all students, but also mitigates the structural effects of racism in the classroom thereby increasing racial equity. Mastercard Partners With Howard University to Drive Racial Equity Through Data Science. December 07, 2021. Through a $5 million grant, Mastercard will support the creation of the Center for Applied Data Science and Analytics (CADSA) on Howard's campus focused on addressing racial bias in AI-driven credit approval processes. Popul Res Policy Rev . Peer Reviewed Presentation Centering Racial Equity Throughout Data Integration, Online presentation of International Population Data Linkage Network (on YouTube), November 2020. Promote research that addresses issues on racial equity and fairness in data science, e.g., in training data, machine learning algorithms and models, and automated decision making. Description Ruha Benjamin's The New Jim Code: A Book Discussion on Race and Technology, Trisha Adamus. This collection of resources and calls to . It will include a master's degree in applied data science, and a thought leadership series on racial equity and inclusive growth, addressing algorithmic bias in financial services and . Read writing about Racial Equity in Towards Data Science. 5 (3), October 2020. CADSA is an interdisciplinary hub at Howard University that will include a master's degree in applied data science and a thought leadership series on racial equity and inclusive growth. Not so long ago, the word "race" was something that many people shied away from—a four-letter word not to be spoken in polite company. Weekly hospitalization rates were higher during surges of infection in April, July . Math, science, and data can lead to equitable and just outcomes when equity is embedded in the data analysis framework. Boston University's Office of Research hosted "Research on Tap: Data Science for Racial Equity," Tuesday examining how data science can be used to promote racial equity. Many of these transformations have been immeasurably beneficial in curing disease, creating safe food and water supplies, powering our economy, and so much more. It encourages centering racial equity and community voice within the context of data integration and use — and for the benefit of the public good. In addressing health equity, we in the federal government include many of the same factors that the National Academies of Science, Engineering, and Medicine identified as social risk factors. Posts tagged Data Science Nasser Eledroos.

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