Unicorn Ventures

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PROJECT GROUP

 

TEAM

 

PROPOSAL

 

POSTER

 

APPLICATION

 

RESEARCH PAPER

 

Version 1 | Version 2

INTRODUCTION


Blockchain, artificial intelligence, data science, edtech and internet-of-things are all buzzwords today in this new innovation era. More and more founders and investors begin to see the potential of innovation in Asia today. Meanwhile, local governments in the region have introduced new policies and initiatives to explore new technological innovation frontiers in order to boost the competitiveness of various knowledge-based industries. In recent years, both Hong Kong and Singapore government has pumped in Resources (link: https://www.cnbc.com/2018/04/10/singapore-and-hong-kong-are-winning-over-start-up-accelerators.html) including start-up clusters, grants and fundings to boost its start-up Ecosystem.

The two Asian-Tigers, Singapore and Hong Kong, will be the main contexts for this project. They are two high-growth metropolitan city-states in Asia that share many characteristics in common in terms of GDP per capita and population density. Beyond that, both Hong Kong and Singapore offers a comprehensive financial and technical infrastructure and has attracted a considerable amount of foreign investment. It is commendable that both countries have achieved stellar economic performance despite the lack of natural resources and large land size. Unicorn Ventures strives to study the current start-up ecosystem in these two city-based regions and hope to generate new insights for policy-makers, founders and investors.

MOTIVATION


Our research is motivated by the lack of comprehensive comparison between these two countries’ startup ecosystem. Currently, there are many sources of fragmented datasets on different aspects of the startup ecosystem such as top-funded companies, industry breakdown and funding analysis. Our project aims to consolidate the data sources and study the two different startup ecosystems through a centralized interactive web application.

This project will focus on start-up companies and funding organizations in the tech ecosystem. The insights generated could help: Hong Kong and Singapore policy makers improve its existing infrastructures or policies to cultivate a more robust startup ecosystem Potential and current founders to understand the growing industries, competitor landscape and investors Potential investors to identify the growing industries and dominant players

OBJECTIVES


Our project aims to explore and compare the following aspects for the startup ecosystem in Singapore and Hong Kong by considering the startups founded after 2000.

Ecosystem Index Analysis:

  • What is the difference of Hong Kong and Singapore in terms of Global Entrepreneurship Index and Global Competitiveness Index?

Startup Analysis:

  • Time-series analysis for startups that has formed/exited across the years by different industries
  • What is the current breakdown of startups by industries, key industries, team size, funding stage, age and gender of founders?

Funding Analysis:

  • What are top funded startups and their funding stages and industries?
  • Time-series analysis of the disclosed funding over the years by industries
  • Where does the investors originate from and what are the investor types?


SELECTED DATASET
Dataset/Source Data Attributes

Global Entrepreneurship Index Score in Singapore and Hong Kong in 2018

  • Description: The GEI measures both the quality of entrepreneurship in a country and the extent and depth of the supporting entrepreneurial ecosystem. The GEI consistsof 3 sub-indices including entrepreneurial attitudes, entrepreneurial abilities and entrepreneurial aspirations.
  • Source: Global Entrepreneurship and Development Institute

Dataset: https://thegedi.org/wp-content/uploads/dlm_uploads/2017/11/GEI-2018-1.pdf

Sub-index Attributes
Attitudes Sub-index
  • Opportunity Perception
  • Startup Skills
  • Risk Acceptance
  • Networking
  • Cultural Support
Abilities Sub-index
  • Opportunity Perception
  • Technology Absorption
  • Human Capital
  • Competition
Aspiration Sub-index
  • Product Innovation
  • Process Innovation
  • High Growth
  • Internationalization
  • Risk Capital
DATA MODEL

BACKGROUND SURVEY OF RELATED WORKS
Related Works What We Can Learn


SKETCHES STORYBOARD
Sketches How Analyst Can Conduct Analysis

ARCHITECTURE DIAGRAM



KEY TECHNICAL CHALLENGES


PROJECT TIMELINE


REFERENCES


COMMENTS

Feel free to comments, suggestions and feedbacks to help us improve our project!:D