ISHOW Longitudinal Study

This project aims to contribute to a longitudinal study on ISHOW´s accelerator impact by informing the future strategy for data collection for the past ISHOW applicants, finalists, and winners.

Project Overview

Project Description

This project aims to contribute to a longitudinal study on ASME ISHOW´s accelerator impact by informing the future strategy for data collection for the past ISHOW applicants, finalists, and winners. Past support for this ongoing project included identifying best practices for assessing process due diligence (for applicants) and measuring qualitative and quantitative data pertaining to topics such as the effectiveness of ISHOW training, impact on the larger ecosystem, and social return on investment (for finalists and winners).

Primary responsibilities include:

  • Support ISHOW’s internal data collection and Social Return on Investment (SROI) initiatives for past applicants, finalists, and winners.
  • Collect and analyze quantitative (surveys) and qualitative (interviews) data on ISHOW’s impact on early-stage startups and innovation ecosystems to identify gaps/needs and inform ISHOW’s strategy over the short/midterms.
  • Provide a report that presents a comparative analysis of the confidence levels in the areas of the ISHOW Design & Engineering Review framework with their applications for a pre/post-ISHOW analysis.

Impact:

The ISHOW international accelerator of hardware-led social innovation has enabled over 180 startups from more than 30 countries to solve critical quality-of-life challenges for underserved communities worldwide. ISHOW winners solve real-world challenges with world-changing innovations like:

  • A device that harvests water from dry desert air
  • A solar-powered chiller so off-the-grid farmers can get milk cold to market
  • A life-saving ventilator, built for under $20

Eligibility Criteria

Skills / Experience:

  • Required:
    • Research
    • Data Analysis + Statistics
  • Desired:
    • Familiarity with HCD and entrepreneurial/startup culture.
    • Strong knowledge of research methods and analysis of quantitative/qualitative data.

Software Needs:

  • N/A

Discipline:

  • N/A

Preferred Fellow Local Experience (all projects can be completed remotely):

  • Any

Time zone compatibility (when the Fellow should be available for meetings):

  • EDT (UTC-4)

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