Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Using Big Data to Understand the Human Condition: The Kavli HUMAN Project.

Okan Azmak1, Hannah Bayer1, Andrew Caplin1

  • 1New York University , New York, New York.

Big Data
|October 22, 2015
PubMed
Summary

The Kavli HUMAN Project (KHP) will collect comprehensive within-subject data on health, environment, and lifestyle for 10,000 New Yorkers over 20 years. This large-scale, longitudinal study aims to uncover dynamic interactions influencing human health and behavior.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The Wealth of Wealthholders.

The Review of income and wealth·2026
Same author

Clinical decision making during supervised endotracheal intubations in academic emergency medicine.

The American journal of emergency medicine·2025
Same author

Intersect between brain mechanisms of conditioned threat, active avoidance, and reward.

Communications psychology·2025
Same author

Value signals guiding choices for cannabis versus non-drug rewards in people who use cannabis near-daily.

Psychopharmacology·2025
Same author

Synchronized Incidental Affect Changes Ambiguity Preferences.

Research square·2024
Same author

The Role of Synthetic Biology in Atmospheric Greenhouse Gas Reduction: Prospects and Challenges.

Biodesign research·2023

Area of Science:

  • Multidisciplinary research
  • Big data analytics
  • Human health and behavior

Background:

  • Existing large-scale human studies often lack within-subject, longitudinal data across multiple domains.
  • There's a critical need for synoptic datasets to understand the interplay of biology, behavior, and environment.
  • Previous research has been limited by domain specificity or between-subjects approaches.

Purpose of the Study:

  • To establish a comprehensive, within-subject dataset for understanding human health and behavior dynamics.
  • To investigate the coevolution of human health and behavior over the life cycle.
  • To enable new discovery-based scientific approaches using big data analytics for health improvement, especially in urban settings.

Main Methods:

  • The Kavli HUMAN Project (KHP) will aggregate data from 2,500 New York City households (approx. 10,000 individuals).
Keywords:
big data analyticssemistructured dataunstructured data

Related Experiment Videos

  • Data collection will span 20 years, employing an extensive array of biological and behavioral measurement modalities.
  • Environmental conditions and events will be measured using a large-scale geographic information system database.

    • Main Results:

    • The KHP will provide both synoptic and granular views of human health and behavior.
    • It will capture within-subject changes over time, revealing individual differences in health and behavioral trajectories.
    • The project is designed to facilitate big data analytics for novel scientific discoveries.

    Conclusions:

    • The KHP is poised to generate unprecedented within-subject data crucial for understanding human health and behavior.
    • This longitudinal, multidisciplinary approach will illuminate the complex interactions shaping health outcomes.
    • The project aims to significantly advance scientific understanding and improve human quality of life, particularly in urban environments.