Team > Miriam Boon

Miriam Boon

Interests: natural language processing, case-based reasoning, machine learning, human-computer interaction, educational software, computer-supported co-operative work, online collective action, peer production, public sphere

After completing her undergraduate degree in Physics at MIT, Miriam launched a ten-year career as a science and technology journalist and editor. During that time, she completed a Master of Journalism at Ryerson University in Toronto, Canada.

Today, Miriam develops experimental technological prototypes related journalism and public information. Ideally, she hopes to help improve the productivity of public discourse and increase the quantity and quality of information flowing to the public through scientific inquiry and technological innovation.

Papers

  • The News Context Project
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  • Information density, Heaps’ Law, and perception of factiness in news
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