Science policy is concerned with the allocation of resources for the conduct of science towards the goal of best serving the public interest. Topics include the funding of science, the careers of scientists, and the translation of scientific discoveries into technological innovation to promote commercial product development, competitiveness, economic…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Science policy topic overview
The analysis highlights History, Technology, Science and Products as prominent areas in the source structure around Science policy.
Related topics
155
Source areas
6
Connected nodes
161
Extracted relationships
105
Concept neighborhoods
83
Bridge connections
161
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.
By country · 84 topics
History · 34 topics
Philosophies · 18 topics
Overview · 14 topics
Books · 4 topics
Journals · 1 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.
Suggested research paths
A focused starting point derived from the topic graph, ranked independently of the source article order.
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Science policy connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Science policy shows recurring relationship patterns in the source. For example, Science policy → Ann Arbor, Beyond Sputnik, Brookings Institution, Bush, Cambridge, Cambridge University Press, Crease, CS1, Dangerous Science, Daniel, Date, Donald, Engineers, February, Frontiers, Harvard University Press, Homer, How, III, ISBN Another extracted example is Science policy → Bologna, Directorate-General, EU, European, European Commission, European Higher Education Area, European Research Area, European Research Council, European Space Agency, European Union, In, Joint Research Centre, Member States, Research, The, The European Union's, There, Union's. Use these groups to spot repeated connection types before inspecting the individual relationships.
Science policy
Top relations
related to Books· 57
Science policy → Ann Arbor, Beyond Sputnik, Brookings Institution, Bush, Cambridge, Cambridge University Press, Crease, CS1, Dangerous Science, Daniel, Date, Donald, Engineers, February, Frontiers, Harvard University Press, Homer, How, III, ISBN
related to European Union· 18
Science policy → Bologna, Directorate-General, EU, European, European Commission, European Higher Education Area, European Research Area, European Research Council, European Space Agency, European Union, In, Joint Research Centre, Member States, Research, The, The European Union's, There, Union's
related to Journals· 11
Science policy → Governance, Issues, Journal, OUP Academic, Oxford Academic, Public Policy, Research Policy, Retrieved, Science, ScienceDirect, Technology
related to United States· 7
Science policy → Congress, Further, Much, Research, Science, The United States, United States
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 105 structured relationships around Science policy. Examples in this analysis include the National Academy of Sciences → instance of → was partly enabled by the creation of scientific organizations and physics → instance of → in fields. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
the National Academy of Sciences
instance of
was partly enabled by the creation of scientific organizations
0.80
text
the Kaiser Wilhelm Institute
instance of
was partly enabled by the creation of scientific organizations
0.80
text
and State funding of universities of their respective nations
instance of
was partly enabled by the creation of scientific organizations
0.80
text
physics
instance of
in fields
0.80
text
geology
instance of
in fields
0.80
text
Science policy
related to Books
Bush
0.60
section
Science policy
related to Books
Vannevar
0.60
section
Science policy
related to Books
Science
0.60
section
Science policy
related to Books
President
0.60
section
Science policy
related to Books
Program
0.60
section
Science policy
related to Books
Postwar Scientific Research
0.60
section
Science policy
related to Books
Repr
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Science policy bring nearby vocabulary together. In this analysis, examples include Science, Research and Scientific. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Science policy
Science
Research
Scientific
Technology
National
Public
Foundation
Basic
Engineering
Innovation
Rather
Government
science policy
Science
Research
Scientific
Technology
National
Public
Foundation
Basic
Engineering
Innovation
Rather
Government
funding of science
Include
Research
Agencies
Foundation
Scientific
Technology
Science
National
Innovation
Basic
Engineering
State
commercial product development
Government
Include
Research
Foundation
Scientific
Technology
Basic
Engineering
Innovation
Science
National
Technological
economic development
Government
Include
Research
Foundation
Scientific
Technology
Basic
Engineering
Innovation
Science
National
Technological
science
Research
Scientific
Technology
National
Foundation
Basic
Engineering
Innovation
Government
State
Council
Practical
engineering
Social
Many
Sciences
Council
Universities
Science
Projects
Organizations
Research
Basic
Include
National
weapons development
Government
Include
Research
Foundation
Scientific
Technology
Basic
Engineering
Innovation
Science
National
Technological
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Science policy, one of the stronger structural bridges in this analysis connects Science policy with By country. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Science policy
Nodes162
Edges161
Triples105
Avg. degree1.99
Density0.012346
Components1
Source & methodology
TTTA analyzes the structure around Science policy to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Technology, Science & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
