University of Chicago-Affiliated Research Center Settles Discrimination Allegations with Asian Job Applicants

A research center affiliated with the University of Chicago, known as the National Opinion Research Center (NORC), has reached a settlement with the U.S. Department of Labor (DOL) following allegations of discrimination against more than 100 Asian job applicants. The settlement includes the payment of $95,000 in back pay and interest, as announced by the DOL on Monday. This development sheds light on the importance of fair hiring practices and equal employment opportunities, particularly during the ongoing COVID-19 pandemic.

Allegations of discrimination

NORC has been accused of discriminatory practices towards applicants seeking positions as coronavirus contact tracers between May 2020 and August 2023. The Office of Federal Contract Compliance Programs conducted a compliance evaluation, which found evidence of discriminatory actions by the research center. The evaluation revealed disparities and bias against Asian job applicants during the hiring process.

Review of hiring practices

As part of the settlement agreement, NORC will undergo a comprehensive review of its hiring practices and procedures. This review aims to identify any potential biases or barriers that may hinder equal employment opportunities. Furthermore, the organization will implement training programs targeting managers, supervisors, and other officials involved in the hiring decision-making process. The goal is to ensure that future hiring practices are fair, transparent, and free from discriminatory practices.

Legal framework

The DOL cited Executive Order 11246, established by former President Lyndon Johnson in 1965, which prohibits employment discrimination based on various factors such as race, sex, color, religion, sexual orientation, gender identity, or national origin. This order serves as a fundamental legal framework to protect individuals from discrimination and promote equal employment opportunities.

Context of discrimination

The settlement with NORC comes at a time when civil rights agencies, including the U.S. Equal Employment Opportunity Commission (EEOC), have raised concerns about the rise in workplace harassment, intimidation, and discrimination against Asian, Asian American, and Pacific Islander individuals. The COVID-19 pandemic has unfortunately fueled xenophobia and prejudice, making it crucial to address these issues and create safe working environments for all.

NORC’s Previous Work

NORC’s involvement in this discrimination case is particularly noteworthy due to its previous collaborations with the EEOC. In 2019, the EEOC contracted NORC to collect pay data as part of the agency’s EEO-1 Component 2 for fiscal years 2017 and 2018. The collected data was subsequently analyzed by the National Academies of Sciences, Engineering, and Medicine, which published its findings last year. The involvement of NORC in collecting and analyzing employment data adds to the significance of addressing any discriminatory practices within the organization.

Importance of the Conciliation Agreement

This settlement agreement emphasizes the commitment to upholding the terms of NORC’s federal contract, which includes providing all applicants with equal employment opportunities. It further underlines the importance of examining and auditing employment processes to remove any barriers that could inhibit fair and equitable hiring practices. Holding organizations accountable to these provisions ensures that discriminatory practices are identified and rectified promptly.

The settlement between NORC and the DOL serves as a significant step towards rectifying discrimination allegations and promoting equal employment opportunities. By addressing biases and implementing comprehensive reviews and training initiatives, NORC aims to create a more inclusive workplace environment. The case serves as a reminder to other organizations to prioritize diversity, equity, and inclusion, particularly during times of crisis when vulnerable populations can be targeted. By actively working to eliminate discrimination, organizations can foster an environment that values and respects the contributions of individuals from diverse backgrounds.

Explore more

Trend Analysis: Agentic AI in Data Engineering

The modern enterprise is drowning in a deluge of data yet simultaneously thirsting for actionable insights, a paradox born from the persistent bottleneck of manual and time-consuming data preparation. As organizations accumulate vast digital reserves, the human-led processes required to clean, structure, and ready this data for analysis have become a significant drag on innovation. Into this challenging landscape emerges

Why Does AI Unite Marketing and Data Engineering?

The organizational chart of a modern company often tells a story of separation, with clear lines dividing functions and responsibilities, but the customer’s journey tells a story of seamless unity, demanding a single, coherent conversation with the brand. For years, the gap between the teams that manage customer data and the teams that manage customer engagement has widened, creating friction

Trend Analysis: Intelligent Data Architecture

The paradox at the heart of modern healthcare is that while artificial intelligence can predict patient mortality with stunning accuracy, its life-saving potential is often neutralized by the very systems designed to manage patient data. While AI has already proven its ability to save lives and streamline clinical workflows, its progress is critically stalled. The true revolution in healthcare is

Can AI Fix a Broken Customer Experience by 2026?

The promise of an AI-driven revolution in customer service has echoed through boardrooms for years, yet the average consumer’s experience often remains a frustrating maze of automated dead ends and unresolved issues. We find ourselves in 2026 at a critical inflection point, where the immense hype surrounding artificial intelligence collides with the stubborn realities of tight budgets, deep-seated operational flaws,

Trend Analysis: AI-Driven Customer Experience

The once-distant promise of artificial intelligence creating truly seamless and intuitive customer interactions has now become the established benchmark for business success. From an experimental technology to a strategic imperative, Artificial Intelligence is fundamentally reshaping the customer experience (CX) landscape. As businesses move beyond the initial phase of basic automation, the focus is shifting decisively toward leveraging AI to build