Corporate Social Responsibility
A ‘Whole Company’ Approach for Justice and Equity
Siloed corporate social responsibility responses are insufficient to tackle structural inequities.
Siloed corporate social responsibility responses are insufficient to tackle structural inequities.
Last year’s challenges underscore that humans work best if they work as a team for a common purpose.
Crisis-driven innovation, self-sufficient production, and data to boost diversity.
Collecting and analyzing the right employee data can help leaders build more equitable workplaces.
The highlight of the 2019-20 NBA season was a player-led response to the Black Lives Matter movement.
To show respect for individuality, leaders should support the use of personal pronouns in communication.
Why words matter in crucial conversations, alarming U.S. job trends, and how to make data meaningful.
Being overweight is highly stigmatized, but companies can take steps to help combat weight discrimination.
Businesses distracted by the language around racism should instead focus on taking steps to actively prevent it.
Protocols that are used to root out bias in AI tools can— and must — be turned on the industry itself.
The disruption triggered by the pandemic is rich with opportunities to fundamentally improve how we live.
Shareholders and stakeholders, data science’s pandemic shift, and combating workplace discrimination.
Organizational leaders can begin to address racial discrimination in the workplace by taking strategic actions.
Pivoting in the pandemic, assessing supplier diversity initiatives, and creating a framework for discussing race.
Often dismissed as a “feel good” option, B2B supplier diversity initiatives can reap financial rewards.
How U.S. companies are commemorating Juneteenth; what a 2020 recession may mean for data analytics.
Leaders should focus on starting conversations, emphasizing individuality, and measuring feedback.
Introducing our summer issue, and collaborating productively on remote teams.
Leaders must prove their commitment to diversity by acting on the issue of racism and discrimination.
Data-wrapping techniques, building diverse AI teams, and communicating with empathy and authority.