Navigating a New Political Landscape: View real-time updates about the impact of and Northeastern’s response to recent political changes.
Apply

Survey Data Validation - National Internet Observatory

Validating the survey data from NIO, and running analysis to detect fraud. The goal is to ensure that the data is high quality and representative of the broader U.S. population. Some of the steps in this regard are: developing signals of fraud/low quality respondents in the survey (such as inconsistent answers across multiple surveys, the signals of frauds automated from the survey administration, positive answers to very rare behaviors, etc.), crossing these signals with the fraud detection systems from the web tracking data, and checking how our survey data aligns with similar items of the ANES survey, fielded in a similar time frame.

  • Location:

    Boston

  • Address:

    177 Huntington Ave, 4th Floor, Boston, MA

  • Semester:

    Spring, Summer 2025

Application

Doctoral Program
Current year in program
Doctoral Program Status
Accepted file types: pdf, Max. file size: 250 MB.
Attach a PDF of your resume here
This field is hidden when viewing the form
This field is hidden when viewing the form

  • Project Title

    National Internet Observatory

  • Faculty / Project Lead

    David Lazer

  • Project Description

    The National Internet Observatory (the NIO) invites residents of the United States to participate in a scientific study to understand the role the Internet plays in modern society. The objective of the Observatory is to shed light on people’s experiences online. The Observatory works in a two step process: (1) Collecting data from participants on their online experiences. This involves loading software on computers that sends information back to the Observatory. (2) Providing privacy-preserving access to researchers to study the Internet. The NIO welcomes participants from all backgrounds. Researchers will use these data to understand how the Internet affects individuals and society more generally.

  • Qualifications Necessary

    PhD student or Post-Doctoral student with experience analyzing survey data.

  • Hours per Week

    20 Hour Position