Katherine Breward is an Associate Professor at the University of Winnipeg and an award-winning case writer. Her research focuses primarily on disability accommodation in the workplace and labor market entry for historically disadvantaged populations. Her research has appeared in the Canadian Journal of Disability Studies; Case Research Journal; Equality, Diversity and Inclusion: An International Journal; and the Journal of Immigrant and Minority Health.
Katherine Breward
From this contributor
Providing accommodations for autistic workers benefits everyone
Companies can use many strategies to make workplaces more inclusive.
Providing accommodations for autistic workers benefits everyone
By
Katherine Breward, The Conversation
18 July 2019 | 6 min read
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Jill Adams
14 April 2026 | 2 min read
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
By
Erin Calipari
14 April 2026 | 5 min read
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
By
Juan Gallego
13 April 2026 | 8 min read