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DreamLab: Description & Overview

DreamLab was a volunteer computing Android and iOS app launched in 2015 by Imperial College London and the Vodafone Foundation. It was discontinued on 2nd April 2025.

Language: English [EN]
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DreamLab topic overview

The analysis highlights Description and Overview as prominent areas in the source structure around DreamLab.

Related topics
10
Source areas
2
Connected nodes
12
Extracted relationships
13
Related term clusters
10
Bridge connections
12

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Description · 5 topics
Overview · 5 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developers
Vodafone Foundation · Transpire (CI&T)
License
Proprietary
Operating system
iOS, Android
Release
October 12, 2015 (2015-10-12)
Size
87 MB
Stable release
Android: 3.9.6.4972 · iOS: 2.6.8

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Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Description

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How DreamLab connects Entity context

The extracted context around DreamLab shows recurring relationship patterns in the source. For example, DreamLab → COVID-19, Imperial College, Imperial College London Another extracted example is DreamLab → Transpire (CI&T), Vodafone Foundation. Use these groups to spot repeated connection types before inspecting the individual relationships.

DreamLab

Top relations

related to Description · 3
DreamLab → COVID-19, Imperial College, Imperial College London
Developers · 2
DreamLab → Transpire (CI&T), Vodafone Foundation
Stable release · 2
DreamLab → Android: 3.9.6.4972, iOS: 2.6.8
License · 1
DreamLab → Proprietary
Operating system · 1
DreamLab → iOS, Android
Release · 1
DreamLab → October 12, 2015 (2015-10-12)
Size · 1
DreamLab → 87 MB
Type · 1
DreamLab → Volunteer computing
Website · 1
DreamLab → www.vodafone.com/dreamlab

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

app volunteer computing vodafone foundation android ios imperial college research 2015 london covid-19 website drugs tropical project 000 launched discontinued

DreamLab relationships Subject–Predicate–Object triples

TTTA extracted 13 structured relationships around DreamLab. Examples in this analysis include DreamLab → Developers → Vodafone Foundation and DreamLab → Developers → Transpire (CI&T). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
DreamLabDevelopersVodafone Foundation1.00infobox
DreamLabDevelopersTranspire (CI&T)1.00infobox
DreamLabLicenseProprietary1.00infobox
DreamLabOperating systemiOS, Android1.00infobox
DreamLabReleaseOctober 12, 2015 (2015-10-12)1.00infobox
DreamLabSize87 MB1.00infobox
DreamLabStable releaseAndroid: 3.9.6.49721.00infobox
DreamLabStable releaseiOS: 2.6.81.00infobox
DreamLabTypeVolunteer computing1.00infobox
DreamLabWebsitewww.vodafone.com/dreamlab1.00infobox
DreamLabrelated to DescriptionCOVID-190.60section
DreamLabrelated to DescriptionImperial College London0.60section

Related concept clusters Related term clusters

The concept neighborhoods around DreamLab bring nearby vocabulary together. In this analysis, examples include Computing, Volunteer and App. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • DreamLab
    • Computing
    • Volunteer
    • App
    • Android
    • Ios
    • London
    • Website
    • College
    • Foundation
    • Imperial
    • Vodafone
    • Also
  • dreamlab
    • Computing
    • Volunteer
    • App
    • Android
    • Ios
    • London
    • Website
    • College
    • Foundation
    • Imperial
    • Vodafone
    • Also
  • volunteer computing
    • Volunteer
    • App
    • Dreamlab
    • Android
    • Ios
    • Website
    • Foundation
    • Vodafone
    • Also
    • Description
    • External
    • Launched
  • android
    • Ios
    • Computing
    • Foundation
    • Vodafone
    • Volunteer
    • Also
    • App
    • Description
    • Dreamlab
    • External
    • Launched
    • Links
  • vodafone foundation
    • Foundation
    • Vodafone
    • Ios
    • Research
    • Volunteer
    • Also
    • Description
    • External
    • Launched
    • Links
    • References
    • See
  • ios
    • Foundation
    • Vodafone
    • Volunteer
    • Also
    • Description
    • External
    • Launched
    • Links
    • References
    • See
    • Covid-19
    • Drugs
  • description
    • Also
    • External
    • Links
    • References
    • See
    • Covid-19
    • Drugs
    • Ios
    • Tropical
    • Website
    • Foundation
    • Research
  • covid-19
    • Drugs
    • Description
    • External
    • Links
    • References
    • See
    • Ios
    • Tropical
    • Website
    • Foundation
    • Research
    • Vodafone

Connections between topic areas Semantic bridges

For DreamLab, one of the stronger structural bridges in this analysis connects DreamLab with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
DreamLab — Overview · splits 7 ⟂ 6
DreamLab — Description · splits 7 ⟂ 6

Map overview Semantic statistics

DreamLab

Nodes13
Edges12
Triples13
Avg. degree1.85
Density0.153846
Components1

Source & methodology

TTTA analyzes the structure around DreamLab to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Description & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — DreamLab · EN edition · Analysis: TopicsToTalkAbout

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