Learning from Yesterday: Predicting early-stage startup success for accelerators through content and cohort dynamics
Abstract
This paper presents methods for predicting early-stage startup success for accelerators through content and cohort dynamics analysis.
This work applies content and cohort analysis to predict startup success in accelerator programs.
Yisheng Li
PhD Student
Yisheng Li is a PhD student in the Human-Centered Machine Intelligence Lab, working on explaining homophily in conspiracy theories.
Morteza Zihayat
Principal Investigator
Dr. Morteza Zihayat is a Canada Research Chair (CRC) in Human-Centered AI and Associate Professor at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. He also holds appointments as Adjunct Associate Professor at the University of Waterloo (Management Sciences) and IBM Faculty Fellow at IBM Centre for Advanced Studies. He is the Director of the Human-Centered Machine Intelligence Lab.