GALI releases one major publication each spring focused on the impact of acceleration on early-stage ventures. The team also produces shorter reports and data summaries throughout the year. In addition to our own research, we actively encourage others to publish original research using this data. You can request the full data set here.
Find in-depth explorations of data on early-stage entrepreneurship and accelerator effectiveness in GALI publications.
33 Publications found
Initial data from the Entrepreneurship Database Program
Feb 2018
This data summary provides a snapshot of more than 2,500 early-stage ventures that applied to over 50 acceleration programs in Sub-Saharan Africa, and includes regional insights for East and West Africa and country-specific information for Kenya, Uganda, and Nigeria.
Funding Accelerator Programs
Dec 2017
The GALI team consistently hears questions from accelerators and others in the field about financial sustainability. In this brief, we ask: How do accelerators fund their programs, and how do different funding profiles relate to different accelerator offerings?
Dec 2017
This study, conducted by the ANDE India Chapter with the support of Autodesk Sustainability and Foundation, uses GALI’s Global Accelerator Survey to add clarity to the profile of accelerators and incubators in India – their structure, objectives, goals, funding, and the financial and non-financial support that they offer.
Startup Financing by Sector and Geography
Sep 2017
In this data brief, we respond to a question from the Global Innovation Fund about startup financing by sector and geography: “At the Global Innovation Fund, we are focused on supporting entrepreneurs and innovators in markets where individuals earn less than $5 per day. What sectors/verticals and what geographies are typically getting funding in the data that you're seeing?"
Jul 2017
This study, produced in partnership with ANDE Brazil and ICE, uses GALI’s Global Accelerator Survey data in combination with interviews of accelerators and incubators in Brazil. The report describes the profile of acceleration and incubation programs, highlights accelerators with an impact focus, and compares accelerators in Brazil with the rest of the world.
Insights from 43 Programs
May 2017
The second major report from GALI, written in collaboration with Deloitte, compares acceleration in emerging markets versus high-income countries. Examining data from more than 2,400 early stage ventures that applied to 43 programs, it finds more similarities between emerging market and high-income country entrepreneurs and accelerator programs than commonly believed.
Initial Data from Mexican Startups
May 2017
With the support of Citibanamex, through Fomento Social Banamex, GALI is working to increase understanding of acceleration and early stage ventures in Mexico. This data summary includes information from 461 ventures operating in Mexico, contributed by 21 accelerator programs.
Intellectual Property
Mar 2017
In this brief, we respond to a question from VentureWell about intellectual property: “In our work, we see that science and technology-based startups face different challenges and need different resources than other ventures. In your data, how do teams with intellectual property differ from those without? We are specifically interested in the roles of geography, education, team size and gender composition.”
Entrepreneur Mobility
Nov 2016
In this brief, we respond to a question from Nesta about entrepreneur mobility: “Obviously, there is a well-known flow of startups towards the United States (driven in large part by the availability of venture capital and higher valuations at IPO), but does your data show any movement of entrepreneurs to and from developing countries?”
Impact Measurement
May 2016
In this brief, we respond to questions from Acumen about what social enterprises think of measurement approaches that impact investors have created, specifically: Are entrepreneurs who have received impact investment funds using tools such as IRIS and B Impact Assessment? If they are, what factors are driving this adoption? If not, why not? And are they using other approaches instead?
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