A recent government meeting highlighted significant advancements made by the Wake Investment Women initiative, which aims to address gender disparities in high-demand, high-paying fields, particularly within STEM occupations. The initiative focuses on creating data-driven strategies to enhance women's representation and wage parity, especially for women of color, including Black and Latina women, who are notably underrepresented in these sectors.
Over the past year, the initiative has expanded its network of engaged employers and strengthened community ties, launching new programs such as a collective conversation series aimed at fostering discussions on critical labor market issues. The inaugural session, held in May, attracted over 130 participants from various employers and nonprofits, featuring expert discussions on the ethical implications of using artificial intelligence in human resources.
Looking ahead, the next collective conversation is scheduled for October 23, where participants will explore the potential of AI and predictive analytics in developing workforce solutions. This event aims to facilitate collaboration among employers to share challenges and successes in leveraging AI while ensuring that progress in gender representation is not compromised.
Additionally, the Wake Investment Women initiative has introduced a Career Guides Mentor Program, which pairs students with dedicated mentors to enhance essential soft skills that employers are seeking. The program has seen a surge in participation, with 78 mentors and 16 mentees currently enrolled, and ongoing recruitment efforts are underway.
A new component of the program, called Industry Champions, has also been launched, allowing employers to provide tailored mentorship to students in specific occupational areas. Notable participating organizations include Lenovo, Lyft, Wake County EMS, and UBS, marking a significant step in connecting students with career-specific guidance.
The meeting underscored the importance of collaborative strategies and ongoing research to effectively tackle the complex challenges of gender wage and representation gaps in the workforce.