Technovation has been running for 17 years and has engaged ~400,000 participants to date across 120+ countries. We would love to have an annual dashboard that pulls various types of impact data from different sources to provide a snapshot of impact (learning). Here are the different types of data that we would like to collate (with some sample questions to guide):

Our own Platform data

  • Who is more likely to finish the program and what distinguishes them from the others?
  • Analysis by country, mentor profile (industry, educator, parent, alumnae, returning), expertise

Survey data (students, mentors, alumnae) - compared to previous years

  • What did students and mentors learn and how do the key learning changes compare to previous years? Where were the biggest changes?
  • What did alumnae learn through workshops?

Live sessions

  • What was the impact of the live sessions on students and mentors?

Judges scores

  • Is there any change in app quality compared to previous years?

Chapter ambassador surveys

  • What is the impact of Technovation on a chapter ambassador’s life and community?

Student ambassador survey

  • What is the impact of Technovation on a student ambassador’s life?

World Summit

  • What was the impact of the world summit on participants?

Another project that we would be curious to explore would be to use OpenAI's tools to automatically score https://youtu.be/zo_WJ2e9hXA

Technovation Mentor team score report - Spring 2023 Discovery Project
Term
Spring 2023
Topic
Data Visualizations
Platforms/Infrastructure
Technical Area(s)
Geographic information system (GIS)
Machine Learning (ML)
Natural language processing (NLP)