Michael Ewens of Caltech and Richard Townsend of UC San Diego examined data for nearly 18,000 start-ups and found that companies started by women have a harder time finding funding because male investors prefer companies started by men.

How manipulative men use one of our culture's most muscular myths — that men are clueless — and weaponize it into an alibi

The tech world is notorious for its gender discrimination, but more and more women are pushing for change.

Although past research has noted the importance of both power and gender for understanding volubility—the total amount of time spent talking—in organizations, t...

Forty participants (20 male) had 3-minute conversations with trained male and female communication partners in a repeated-measures, within-subject design. Eight...

About half of American technology companies have women in top positions. In China, it’s closer to 80 percent.

Gender inequality and sexist behaviour is prevalent in almost all workplaces and rampant in online environments. Although there is much research dedicated to understanding sexist behaviour, we have almost no insight into what triggers this behaviour and the individuals that initiate it. Although social constructionist theory argues that sexism is a response towards women entering a male dominated arena, this perspective doesn’t explain why only a subset of males behave in this way. We argue that a clearer understanding of sexist behaviour can be gained through an evolutionary perspective that considers evolved differences in intra-sexual competition. We hypothesised that female-initiated disruption of a male hierarchy incites hostile behaviour from poor performing males who stand to lose the most status. To test this hypothesis, we used an online first-person shooter video game that removes signals of dominance but provides information on gender, individual performance, and skill. We show that lower-skilled players were more hostile towards a female-voiced teammate, especially when performing poorly. In contrast, lower-skilled players behaved submissively towards a male-voiced player in the identical scenario. This difference in gender-directed behaviour became more extreme with poorer focal-player performance. We suggest that low-status males increase female-directed hostility to minimize the loss of status as a consequence of hierarchical reconfiguration resulting from the entrance of a woman into the competitive arena. Higher-skilled players, in contrast, were more positive towards a female relative to a male teammate. As higher-skilled players have less to fear from hierarchical reorganization, we argue that these males behave more positively in an attempt to support and garner a female player’s attention. Our results provide the clearest picture of inter-sexual competition to date, highlighting the importance of considering an evolutionary perspective when exploring the factors that affect male hostility towards women.

Security's efforts to bridge the talent gap mean little when workers don't want to stay in the industry.

'A Sort of Everyday Struggle' | News | The Harvard Crimson

Oracle, like Google, stands accused of paying women less than male equivalents.

We all expect to be judged on our merits at work—to be recognized for our accomplishments and our unique talents, insights, and efforts. But does that actually happen? A variety of recent research by business, psychology, and sociology scholars offers a window into women’s collective experiences in the workplace, confirming some intuitive notions (that men […]

This morning, I set myself the task of turning my response to a New York Times article into something less ephemeral and annoying than a tweetstorm. I gave myself one hour to do it, which mostly me…

After revelations of harassment and bias in Silicon Valley, a backlash is growing against the women in tech movement.

The data clearly show that women are less liked as they get more successful.

Women helped found the tech sector, despite rampant discrimination.

Three former Googlers say women were funneled into less lucrative “job ladders.”

Artificial intelligence is becoming a greater part of our daily lives, but the technologies can contain dangerous biases and assumptions—and we're only beginning to understand the consequences.