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Research assistants wanted

We are hiring for two positions:

1) Short-term work involving travel,
to help develop and implement a survey. For this role, we are looking for someone who can begin immediately. As the travel will be limited to short stints, this work could be done concurrently with studies, for people past the coursework phase of a research degree.

2) Long-term work assisting with several projects. Tasks will depend on the applicant’s strengths but may involve reading academic papers, developing and implementing surveys, and data analysis. Applicants should have a quantitative background. A master’s degree is preferred, but exceptional undergraduates should also apply. Work can be done remotely and we will consider both full-time and part-time applicants with a minimum of 20 hours per week.

To apply, please send cover letter and CV by email to: info@aidgrade.org. Please indicate which position you are applying for.

Deadline: Early application is encouraged, with a deadline of Feb. 10 for the short-term position and Feb. 24 for the long-term position.

Hiring research assistants

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: info@aidgrade.org.

Machine learning for meta-analysis

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This process doesn’t scale very well and it is a large part of why meta-analyses are often out of date.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.

Researchers wanted

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 info@aidgrade.org.

New data and papers

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.

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