Jer Thorp

Jer Thorp is a prominent figure in the field of data and machine learning, currently serving as the Project Lead at Knowing Machines, a research initiative focused on understanding the histories, practices, and politics surrounding machine learning systems and their training datasets. His work emphasizes critical methodologies for analyzing how these datasets shape knowledge and inform algorithmic decision-making.

Background and Experience

Thorp has a diverse background that includes roles as a co-founder and creative director at FieldKit, where he has worked on projects that integrate data science with storytelling. He also holds an adjunct professor position in the Interactive Telecommunications Program (ITP) at New York University, where he teaches about the intersection of technology, data, and society.56

Research Interests

At Knowing Machines, Thorp collaborates with an international team to develop tools and methodologies that contribute to critical data studies. The project aims to unpack complex issues related to how datasets are constructed and their implications for machine learning applications.13 His research often intersects with citizen science and explores how machine learning can transform our interactions with nature through projects like Visipedia.2

Thorp's work is recognized for its emphasis on adding narrative and meaning to large data sets, helping individuals better understand the information that influences their lives.4