Jove
Visualize
Contact Us

Related Concept Videos

Sustainable Development01:43

Sustainable Development

13.5K
As the human population continues to grow and use resources, we must be mindful of our planet’s natural limits. Sustainable development provides a pathway to maintain and improve human life now while also ensuring that future generations will have the resources that they need. The long-term success of sustainability efforts rests on understanding the interplay between human actions and ecological systems.
13.5K
Levels of Use of a GIS01:29

Levels of Use of a GIS

81
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
81
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

54
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
54
Thematic Layering in GIS01:30

Thematic Layering in GIS

67
In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
67
Global Regulatory Systems01:28

Global Regulatory Systems

59
Global regulatory systems in bacteria enable rapid and coordinated responses to environmental changes by integrating sensory inputs with gene expression, ensuring efficient adaptation to fluctuating conditions. Key global regulatory mechanisms include regulons, two-component systems, sigma factors, and secondary messengers.Regulons and Global RegulatorsA regulon is a collection of genes and operons controlled by a common global regulator. These regulators enable bacteria to prioritize resource...
59
Manipulation and Analysis01:21

Manipulation and Analysis

49
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
49

You might also read

Related Articles

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

Sort by
Same author

Man vs. machine: Multi-country experimental evidence on the quality and perceptions of AI-generated research blog content.

PloS one·2026
Same author

High-Fat Diet-Fed Kcnq1 Mutant Mice Have Reduced Pancreatic β-Cell Mass via Gene-Environment Interaction.

Diabetes & metabolism journal·2025
Same author

AI for social good.

Royal Society open science·2025
Same author

Biological Effects of a Fine Fiber Film Treated With a Lotion to Improve Dry Skin.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)·2025
Same author

Unsupervised spatiotemporal classification of deformation patterns of embryonic tissues matches their fate map.

iScience·2025
Same author

Towards algorithm auditing: managing legal, ethical and technological risks of AI, ML and associated algorithms.

Royal Society open science·2024
Same journal

Deep learning model to predict COPD hospital admissions based on meteorological data: a medical meteorological forecast.

Frontiers in big data·2026
Same journal

Where diverse populations gather: transit accessibility and the spatial structure of social mixing.

Frontiers in big data·2026
Same journal

Inner layer security reinforcement for instant payment systems: a dual layer encryption-steganography evaluation in Brunei's digital payment context.

Frontiers in big data·2026
Same journal

Measuring the impact of virtualization and containerization on the environment when using GPUs for processing the AI models.

Frontiers in big data·2026
Same journal

Using artificial intelligence to improve governance and public services in Africa.

Frontiers in big data·2026
Same journal

Case count metric for comparative analysis of entity resolution results.

Frontiers in big data·2026
See all related articles
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 Video

Updated: Aug 16, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.1K

Multi-scale governance and data for sustainable development.

David Pastor-Escuredo1,2, Andrea Gardeazabal3, Jawoo Koo4

  • 1Computer Science Department, University College London, London, United Kingdom.

Frontiers in Big Data
|December 19, 2022
PubMed
Summary
This summary is machine-generated.

Future societal systems will integrate digital technologies and collective intelligence for data-driven action. This requires multi-scale governance and AI-driven platforms to manage complexity and promote sustainable development.

Keywords:
Artificial IntelligenceCollective Intelligencefederated learninggovernancemulti-scale systemsnetworkspolicyresilience

More Related Videos

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.3K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

723

Related Experiment Videos

Last Updated: Aug 16, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.1K
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.3K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

723

Area of Science:

  • Computational Social Science
  • Digital Governance
  • Data Science

Background:

  • Future societies face complexity from the 5th Industrial Revolution and 2nd Data Revolution.
  • Emerging digital systems and the Metaverse necessitate new approaches to human behavior and collective action.
  • Existing governance models are insufficient for managing data-driven societal complexities.

Purpose of the Study:

  • To explore the role of digital policy and governance in navigating societal complexity.
  • To propose multi-scale governance as a paradigm for the Data Revolution.
  • To outline principles for designing resilient digital societies through data innovation and AI.

Main Methods:

  • Analysis of multi-scale systems (biological, migratory) through data.
  • Conceptualization of multi-scale governance integrating top-down and bottom-up approaches.
  • Framework for AI-driven digital platforms for data curation and policy implementation.

Main Results:

  • Digital technologies enable new computational methods to address inequality while preserving rights.
  • Multi-scale governance is essential for a highly digitalized world.
  • Coordinating top-down agencies with bottom-up digital platforms is a key design principle.

Conclusions:

  • Robust digital societies depend on effective development of complexity and governance.
  • AI-driven platforms are crucial for implementing data-driven policies for sustainable development.
  • Collective Intelligence, powered by data innovation, is fundamental for future societal resilience.