Thread by @criticalneuro

Thrilled to share new work w Stacey Sinclair & @profcikara! Computational Justice: Simulating Structural Bias and Interventions.
We ran agent based simulation of structural bias, params set from studies.
Then simulated/compared different interventions.1/n
biorxiv.org/content/biorxi…

@profcikara We distinguish interpersonal bias (sexism) & structural bias, allow social learning. We exclude gender differences in interpersonal bias to isolate effect of structural bias. Unequal gender ratios => gender differences in # sexist comments received & increase in p(sexism). 2/n

@profcikara According to empirical findings 40% women confront sexism: 10% 3/3 times, 10% 2/3, 20% 1/3. Men perceive sexism reported by women 50% times=>we set their p(confront)=1/2 women's. Receiving sexism or objection has a cost=>Costs to women & institutions higher in unequal ratios.3/n

@profcikara So if we change gender ratio to 50/50 problem solved right? No! After 1000 simulated meetings in unequal institution, social learning changes p(sexism). When you push 50/50 equality policy, p(sexism) causes higher costs for women. Solution: men & women should object more. 4/n

@profcikara Conclusion: Unequal gender ratio causes disproportionately higher costs for women & institutions than men. Best if male allies increase perception of sexism & p(confrontation). Future empirical studies needed! We had to infer params, not all params had social psych experiments.

@profcikara This work was inspired by the Petrie multiplier thought experiment, proposed by Karen Petrie (see blog post below). Many thanks to @encodethis for intial attempt in matlab, & @batssiki, @Mark_A_Thornton for helpful discussions!

blog.ian.gent/2013/10/the-pe…

@profcikara @EncodeThis @batssiki @Mark_A_Thornton Summary w correct link.
Computational Justice: Simulating Structural Bias and Interventions.
We ran agent based simulation of structural bias, set params from studies, simulated different interventions. Result: Men & women need to confront sexism more! biorxiv.org/content/10.110…