We are looking for someone with great communication and interpersonal skills who is also quantitatively-oriented. This person will assist with outreach to policymakers and staff at international organizations.
We are willing to consider both part-time and full-time applicants, who may work remotely from any geographic location. If you are interested, please send an e-mail with CV and cover letter by Oct. 3 to: firstname.lastname@example.org.
We focus on gathering data from impact evaluations and synthesizing that information through meta-analysis.
The hardest part of doing a meta-analysis is gathering the data. Each paper must be read by two different people, who manually extract information from the papers; if they disagree on any aspect, a third person is called in to arbitrate.
This process doesn’t scale very well and it is a large part of why meta-analyses are often out of date. With many new studies coming out, we would like to be able to streamline this process.
Machine learning allows us to do so. We can extract information about the programs and studies as well as information about the effect sizes they found. For each extracted piece of information, we will also generate a probability that the information is correct.
At the very minimum, this will greatly reduce the amount of time it takes to identify basic characteristics of studies, such as where they were done and which methods they used. It is also the only way to really stay abreast of the latest research for a variety of areas. Given that the methods should be scalable to much of health, education, and economics, we will build this tool in a general way so that its results can inform policy even in developed countries.
You can think of this as a ScienceScape for meta-analysis.
To support this initiative, we have a crowdfunding campaign. Please consider donating.
AidGrade is hiring researchers. A master’s degree and experience with impact evaluations is ideal, but others with a quantitative background should apply. The researcher’s main responsibilities will involve data analysis, using the database of impact evaluation results that AidGrade has developed.
Former AidGrade employees have been accepted to PhD programs at Harvard, Yale, Princeton, Stanford, NYU, Columbia and Michigan, and to staff positions at the World Bank.
Work can be done remotely.
Application deadline (revised): May 13, 11:59 pm PDT
To apply, please send cover letter and CV to email@example.com.
We have a lot of new results coming out over the next few weeks – watch this space!
First up: updated data in the meta-analysis app. Data on 10 new interventions were added: contract teachers; financial literacy; HIV education; irrigation; microhealth insurance; micronutrients; SMS reminders; performance pay; rural electrification; and women’s empowerment programs.
Next up: working papers on each of the topics covered to date.
AidGrade is looking for research assistants to help with data work. Applicants should have some quantitative sophistication. Work can be done remotely and is flexible.
Deadline (extended): July 18, 2014.
To apply, please send CV and cover letter to firstname.lastname@example.org.
We are looking for more people to help with our meta-analyses. A master’s degree and experience with impact evaluations and/or meta-analyses is ideal, but we can suggest other options depending on your experience.
In the past, AidGrade employees have been accepted to Economics PhD programs at Yale, Princeton, Stanford and NYU, Political Science PhD programs at Harvard, Princeton, Columbia and Michigan, and staff positions at the World Bank.
We are also accepting intern applications for summer 2014 for both research and outreach roles. This is your chance to learn about impact evaluation and meta-analysis and work with a great team!
One can work remotely. We also have clusters in Washington, D.C., New York, and San Francisco.
Application deadline: April 2, 11:59 pm PDT
To apply, please send cover letter and CV to email@example.com, highlighting the role(s) for which you wish to be considered.