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.
30 Publications found
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?"
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.
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.
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.
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.”
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?”
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?
Village Capital, a seed-stage accelerator that runs programs for entrepreneurs in impact oriented sectors, began working with the Entrepreneurship Database Program in 2013. This report uses application and follow-up data from fifteen different Village Capital programs to examine the performance of accelerated ventures compared to those that applied but were not selected.
In this brief, we respond to questions about gender and entrepreneurship from The Unreasonable Institute: Do new ventures with women on their founding teams outperform their peers? And if a team has more women in roles of leadership, are they more or less likely to raise equity?
In this brief, we use data from the Entrepreneurship Acceleration Research Initiative in order to respond to a question submitted by the MasterCard Foundation about Youth Entrepreneurship in Africa: "At The MasterCard Foundation, we have a portfolio of youth entrepreneurship projects that we support in Sub Saharan Africa. We’re always looking for data to better understand the space and to inform our programming. I’m wondering if you could share any data by ages 18-24 and 25-30, and by African country or region if possible. Do you see anything interesting under these parameters?"