• Through the Looking Glass – Looking Back and Ahead on Trump Administration 2.0

    Virtual

    Join us for a webinar: Virtual Only In the most consequential year in employment law in over 60 years, join NILG panel members Brian Barger, Nita Beecher, and David Cohen with Moderator Teresa Salinas, as they discuss the federal government's evolving approach to DEI and EEO policy and its impact on employers and state-level requirements.

  • Think Your Pay Equity Strategy Works Everywhere? Rethinking Compliance in the U.S. and EU

    Virtual

    Join us for a webinar: Virtual Only As pay transparency and pay equity requirements continue to expand across the United States, employers are facing an increasingly complex landscape of overlapping state and local obligations. This webinar will provide a clear, practical overview of the rapidly evolving legal framework—from salary range disclosure laws and pay data

  • The Cases Reframing Employer Risk: An Employment Law Update

    Virtual

    Join us for a webinar: Virtual Only This session highlights the employment law decisions and emerging litigation trends shaping employer risk today. Drawing from rulings across courts nationwide, the panel will focus on developments that materially influence how employers manage their workforces—such as shifts in discrimination standards, harassment liability, accommodations, and pay-related claims. We will

  • From Awareness to Action: Suicide Prevention in the Workplace

    Virtual

    Join EARN for a webinar: Virtual Only Suicide impacts workplaces of all sizes and in all industries. Employers play a critical role in recognizing warning signs and connecting workers to support. In 2022, 267 workplace fatalities occurred by suicide. These are not just statistics; they represent a preventable loss of life that affects colleagues, families,

  • Statistics and HR Data – Part 2: Advanced Statistical Concepts and Tools for the Analysis of HR Data

    Virtual

    Join us for a webinar: Virtual Only Building upon the concepts covered in Part 1 of this two-part series, we will demonstrate applications of the workhorse statistical techniques that professionals in academia, government, and the private sector rely on when analyzing complex databases. From multiple and logistic regression to categorical and ordinal variable methods, we