Award Abstract # 2131929
Mid-scale RI-1 (M1:IP): Observatory for Online Human and Platform Behavior

NSF Org: SES
Division of Social and Economic Sciences
Recipient: NORTHEASTERN UNIVERSITY
Initial Amendment Date: September 20, 2021
Latest Amendment Date: September 20, 2023
Award Number: 2131929
Award Instrument: Cooperative Agreement
Program Manager: Joseph Whitmeyer
jwhitmey@nsf.gov
 (703)292-7808
SES
 Division of Social and Economic Sciences
SBE
 Directorate for Social, Behavioral and Economic Sciences
Start Date: October 1, 2021
End Date: September 30, 2026 (Estimated)
Total Intended Award Amount: $15,717,700.00
Total Awarded Amount to Date: $16,217,700.00
Funds Obligated to Date: FY 2021 = $4,953,269.00
FY 2022 = $10,764,431.00

FY 2023 = $500,000.00
History of Investigator:
  • David Lazer (Principal Investigator)
    d.lazer@neu.edu
  • David Choffnes (Co-Principal Investigator)
  • Christopher Wilson (Co-Principal Investigator)
Recipient Sponsored Research Office: Northeastern University
360 HUNTINGTON AVE
BOSTON
MA  US  02115-5005
(617)373-5600
Sponsor Congressional District: 07
Primary Place of Performance: Northeastern University
360 Huntington Ave. 1010-177
Boston
MA  US  02115-5005
Primary Place of Performance
Congressional District:
07
Unique Entity Identifier (UEI): HLTMVS2JZBS6
Parent UEI:
NSF Program(s): Mid-scale RI - Track 1,
Secure &Trustworthy Cyberspace
Primary Program Source: 01002223DB NSF RESEARCH & RELATED ACTIVIT
01AB2324DB R&RA DRSA DEFC AAB

01002122DB NSF RESEARCH & RELATED ACTIVIT

01002223DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 025Z, 065Z, 7434, 9179
Program Element Code(s): 108Y00, 806000
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.075, 47.083

ABSTRACT

The core objective of this project is the construction of a secure, privacy-protecting, ethically robust, scientifically valid online behavioral research observatory. This observatory captures the online behavior of a large sample of volunteers as well as details of the algorithmically driven decisions of the major platforms of the Internet. The observatory enables a wide range of research concerning the Internet, including examination of the state of the information ecosystem, analysis of damaging online behavior of a variety of types, and generally studies of manifold aspects of the online world. This infrastructure fills a gap by providing researchers with high-quality data on human and platform behavior at a scale and granularity that will allow transformational investigation of this new and all-pervasive phenomenon.

This project (1) collects data on the online behavior of a large number of volunteers, on the order of tens of thousands of individuals, whose consent is carefully ascertained; (2) records the tracking of those individuals by third parties; (3) captures the algorithmic curation of content by third parties (e.g., what is prioritized in newsfeeds and search engines); and (4) provides analytic access to a wide set of academic researchers within a secure, privacy-preserving framework. There are two samples of volunteers. The first is smaller and higher quality, carefully balanced in terms of demography and geography. The second is larger and open to a wider array of volunteers but therefore potentially less balanced and therefore treated with methods to reweight the entire sample to be more representative. Through the observatory, both volunteer behavior and platform behavior are collected using desktops, laptops and mobile devices. The observatory involves a layered system of governance involving a wide array of researchers, both to refine protocols in terms of research ethics and security and to define the priorities for the data collected.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Meyer, Michelle N. and Basl, John and Choffnes, David and Wilson, Christo and Lazer, David M. "Enhancing the ethics of user-sourced online data collection and sharing" Nature Computational Science , v.3 , 2023 https://doi.org/10.1038/s43588-023-00490-7 Citation Details

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