Learning from Yesterday: Predicting early-stage startup success for accelerators through content and cohort dynamics

Yisheng Li, Iman Zadehnoori, Ahmad Jowhar, Sean Wise, Andre Laplume, Morteza Zihayat
January 2024

Abstract

This paper presents methods for predicting early-stage startup success for accelerators through content and cohort dynamics analysis.

Type
Journal article
Publication
Journal of Business Venturing Insights

This work applies content and cohort analysis to predict startup success in accelerator programs.

Startup Success Prediction Accelerators Content Analysis Cohort Dynamics Business Venturing
Yisheng Li
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
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is an Assistant Professor in the School of Information Technology Management at Toronto Metropolitan University and the Director of the Human-Centered Machine Intelligence Lab.