Services We Offer

IQSS Data Science Services is pleased to assist researchers in the Harvard community working on publication research in overcoming obstacles at every stage of the research process. Publication research is any piece of research whose ultimate outcome is a paper in a peer-review journal.

We offer three services to the Harvard community (details below):

  1. Consulting
  2. Collaboration
  3. Analytical Tool Building

To receive help, you may request these services in one of two ways:

  1.  Make an appointment: In most cases, an appointment is the preferred means of contact.
    1. Remote meeting (via Zoom)
    2. In-person meeting (room K303, 3rd floor, CGIS North)
  2. Drop into weekly office hours:  11 am to 12 noon every Friday - see Fall 2021 schedule below. Office hours are for short questions that should take no longer than 15 minutes to resolve. If your issue is involved, please make an appointment.
    1. Remote (via Zoom): 10/1, 10/15, 10/29, 11/12, 12/10
    2. In-person (room K017, lower concourse level, CGIS North): 10/8, 10/22, 11/5, 11/19, 12/3, 12/17

Join DSS Remote Office Hours

 

 

Consulting

Make an Appointment

If you have trouble submitting the above form, please reach us via email: help@iq.harvard.edu 

We provide short-term support in the form of advice and strategies on overcoming bottlenecks in your research project. This service is free of charge for the first 3 hours (per publication) and is available to faculty, research associates, post-docs, grad students, visiting scholars, staff members, and undergraduates (for senior thesis). In some cases, we may consider offering extended help beyond 3 hours on a fee-for-service basis - please ask. Specifically, we can help with the following:

  • Research project planning: study design and tools
  • Research data organization: sharing and secure storage
  • Research data processing / cleaning
  • Research programming (e.g., R, Python, Stata, SAS, SPSS, Matlab)
  • Research code organization (e.g., Git, GitHub)
  • Selection and interpretation of statistical methods
  • Research data visualization
  • Using high performance computing (e.g., RCE, AWS)

Limitations: Please note, we do not provide support for coursework, dual purpose research (i.e., coursework that informs a publication), or consulting research/work.

Acknowledging us: To aid us in tracking the impact of our consulting service, we ask that you include a short acknowledgement in your publications and/or talks. You may wish to amend the following text to reflect the type of support you received (e.g., programming support).

“Statistical support was provided by data science specialist <consultant names>, at the Institute for Quantitative Social Science, Harvard University."

Please insert one or more <consultant names> from the following: Noah Greifer, Jinjie LiuSteven Worthington. We encourage you to email your publication titles directly to help@iq.harvard.edu, so we can include them in our list of research output.

 

 

Collaboration

Make an Appointment

If you have trouble submitting the above form, please reach us via email: help@iq.harvard.edu 

We provide extended support over the lifecycle of a research project by embedding a data science specialist in your research team. We can design and implement a data analysis pipeline for many stages of your research project. Specifically, we can help with the following:

  • Writing reproducible, version controlled code (R, Python)
  • Data organization and cleaning
  • Model estimation and post-estimation
  • Visualization of raw data and model output
  • Interpretation of results
  • Writing methods and results sections of papers
  • Responding to peer-reviews of our analyses

In return for this extended support, we ask for two things:

  1. Authorship: The data science specialist who performs the work will receive author credit on all resulting research output (e.g., publications, talks, posters, documents).
  2. Compensation: IQSS will receive compensation for time spent working on the project at a rate of $100 per hour.

Selection Process: We evaluate and select projects for collaboration on a case-by-case basis, based on our available time, our expertise in the area, the feasibility of the project being completed in a reasonable time frame, and our interest in the project.

Limitations: Please note, we cannot collaborate on research projects where the primary output is a sole-authored dissertation / thesis. 

 

 

Analytical Tool Building

Make an Appointment

If you have trouble submitting the above form, please reach us via email: help@iq.harvard.edu 

We can develop R code to implement your new statistical method or to automate part of your analysis pipeline. This version controlled code will take the form of a set of R functions with accompanying tutorial and may optionally be bundled into a new R package with associated documentation. This service is free of charge. The R code / R package will be made publically available on the IQSS GitHub site, so that the broader research community can make use of it. We can help with the following use-cases: 

  • Implement new statistical methods in an R package
  • Develop generalized functions for a particular data analysis or cleaning task, with an accompanying tutorial
  • Optimize existing code (i.e., make computationally more efficient)
  • Port code from other languages (e.g., Stata) to R

Selection Process: We evaluate and select projects for analytical tool building on a case-by-case basis. In particular, when selecting we place great weight on how generalizable the code will be to other use cases, so as to offer the most benefit to the broader research community. We also take account of our available time and the feasibility of the project being completed in a reasonable time frame.

Limitations:  Currently, this service is limited to building tools using the R programming language.