Introducing Macroscope / Academic Intelligence

Mapping the true shape of university research.

Macroscope analyses institutional research outputs to reveal the structure, strengths and hidden patterns of knowledge production.

A university is not just a list of departments. It is a landscape of ideas, methods, people and signals.

Macroscope landscape / example labels Discovered structure
Example Macroscope landscape showing clustered research themes and labelled regions
Macroscope builds the landscape from the institution's actual research outputs.

Universities know what they publish. But not always what their research looks like as a whole.

Existing analytics can count, rank and benchmark research. Macroscope is built to understand institutional research as a landscape of themes, clusters, strengths and signals.

From outputs to institutional intelligence.

Macroscope retrieves, structures and analyses research outputs. Macroscope Studio turns the resulting maps, evidence and synthesis into a detailed institutional intelligence report.

01 / Retrieve

Institutional outputs and metadata

Build a corpus from research outputs, associated metadata and accessible source material.

02 / Structure

Machine-learning clustering

Create an epistemic landscape from the relationships inside the institution's actual work.

03 / Read

Full-text analysis where accessible

Retrieve open texts and use them to support richer cluster interpretation and synthesis.

04 / Apply lenses

Quality, impact and signals

Analyse funding, leadership, impact, thematic signals and evaluation calibrated against human judgement.

05 / Report

Macroscope Studio

Transform maps, data and analysis into designed institutional intelligence reports.

The landscape is discovered, not imposed.

Macroscope does not begin with a fixed disciplinary schema. It builds the map from the actual research outputs of the institution, allowing interdisciplinary, emerging and overlooked areas of strength to become visible.

What Macroscope helps answer.

The report is designed for senior leaders, research offices and strategic partners who need a clear view of institutional research identity.

Question 01 What do we do?
Question 02 What are we good at?
Question 03 Where are strengths emerging?
Question 04 How do quality and impact signals align?
Question 05 What is our research identity?

Beyond benchmarking.

Macroscope is built for interpretation as well as measurement. It gives structure to institutional complexity without flattening it into league-table logic.

Institution-first

Internal structure before external comparison.

Focused on understanding the internal shape of a university's research, including clusters that do not match standard categories.

Qualitative + quantitative

Metrics, text analysis, synthesis and evaluation.

Combines research signals with machine-assisted reading and human-calibrated judgement.

High resolution

Clusters, outputs, grants, themes and signals.

Works below the level of schools and departments, where emerging strengths often become visible first.

Productised consultancy, powered by Macroscope.

Semantic Space is currently working with selected institutions and partners to produce institutional research landscape reports. The consultancy offer combines data retrieval, semantic mapping, Macroscope lenses and designed reporting.

  • Institutional research landscape reports
  • Emerging cluster and overlooked strength analysis
  • Funding, quality, impact and leadership signal mapping
  • Designed Macroscope Studio report outputs

See your institution as a research landscape.

For universities, research offices, funders and strategic partners.

Submissions are sent directly to the Semantic Space team.