Case Study: Carbon Capture in Synthetic Biology

This page is the dedicated case study for carbon capture in synthetic biology. It uses the carbon-capture slice of the corpus — artifacts tagged with case_study_flag = True — to show how student projects, papers, and patents relate to each other within a specific subfield.

Why carbon capture?

Carbon capture in synthetic biology (engineering microbes to fix CO₂ or produce carbon-neutral fuels) is a subfield large enough to find examples across all three artifact types, with clear real-world relevance.

What counts as “carbon capture” here?

Artifacts are included if their title or abstract contains at least one of:

carbon capture · carbon sequestration · CO₂ fixation · carbon dioxide reduction · carbon neutral · biofuel · carbon cycle · autotrophic · RuBisCO · Calvin cycle · carboxylase

A case_study_confidence score records how many keywords matched.

Corpus snapshot

Type	Count	Earliest year	Most active city
Papers	267	2005	Berkeley / Beijing (10 each)
Patents	—	—	—
iGEM projects	141	2009	Shanghai (6)

Cities with cross-type activity

30 cities have at least one carbon-capture paper and at least one carbon-capture iGEM project, making them candidates for local innovation trajectory analysis.

City	CC Papers	CC Projects
Beijing	10	2
Berkeley	10	1
Shanghai	2	6
Urbana	6	1
Wuhan	2	5
San Diego	3	3
Paris	4	1
Madison	3	2

These cities show the co-presence of academic research and student innovation in the same carbon-capture theme — a necessary (though not sufficient) condition for a local innovation trajectory.

Semantic map (carbon capture only)

The Explorer supports filtering to carbon-capture artifacts. In the full semantic space, carbon-capture papers and projects appear in partially overlapping clusters, particularly around themes of CO₂ fixation, microbial metabolism, and biofuel synthesis.

Timeline

Carbon-capture papers appear from 2005, with project activity following from 2009 (the first year of the iGEM dataset). Both streams show growth through the 2010s, with papers peaking around 2019–2022.

Interpretation

The 30 cities with both carbon-capture papers and projects provide evidence that this subfield has both academic and student-level representation in the same places. Whether the temporal ordering is consistent with the idea that student projects follow academic work — or precede applied/patent activity — will be examined once patents are added to the corpus.

The keyword-based tagging used here is deliberately conservative: it flags artifacts that explicitly mention carbon-capture terminology rather than attempting to infer thematic relevance. This means the 267 papers and 141 projects are a lower bound on the true carbon-capture subset.

--- title: "Case Study: Carbon Capture in Synthetic Biology" --- This page is the dedicated case study for **carbon capture in synthetic biology**. It uses the carbon-capture slice of the corpus — artifacts tagged with `case_study_flag = True` — to show how student projects, papers, and patents relate to each other within a specific subfield. ::: {.callout-tip} ## Why carbon capture? Carbon capture in synthetic biology (engineering microbes to fix CO₂ or produce carbon-neutral fuels) is a subfield large enough to find examples across all three artifact types, with clear real-world relevance. ::: ## What counts as "carbon capture" here? Artifacts are included if their title or abstract contains at least one of: > carbon capture · carbon sequestration · CO₂ fixation · carbon dioxide reduction · > carbon neutral · biofuel · carbon cycle · autotrophic · RuBisCO · Calvin cycle · carboxylase A `case_study_confidence` score records how many keywords matched. ## Corpus snapshot | Type | Count | Earliest year | Most active city | |------|------:|:-------------:|:----------------:| | Papers | 267 | 2005 | Berkeley / Beijing (10 each) | | Patents | — | — | — | | iGEM projects | 141 | 2009 | Shanghai (6) | ## Cities with cross-type activity 30 cities have at least one carbon-capture paper **and** at least one carbon-capture iGEM project, making them candidates for local innovation trajectory analysis. | City | CC Papers | CC Projects | |------|----------:|------------:| | Beijing | 10 | 2 | | Berkeley | 10 | 1 | | Shanghai | 2 | 6 | | Urbana | 6 | 1 | | Wuhan | 2 | 5 | | San Diego | 3 | 3 | | Paris | 4 | 1 | | Madison | 3 | 2 | These cities show the co-presence of academic research and student innovation in the same carbon-capture theme — a necessary (though not sufficient) condition for a local innovation trajectory. ## Semantic map (carbon capture only) The [Explorer](explorer.qmd) supports filtering to carbon-capture artifacts. In the full semantic space, carbon-capture papers and projects appear in partially overlapping clusters, particularly around themes of CO₂ fixation, microbial metabolism, and biofuel synthesis. ## Timeline Carbon-capture papers appear from 2005, with project activity following from 2009 (the first year of the iGEM dataset). Both streams show growth through the 2010s, with papers peaking around 2019–2022. ## Interpretation The 30 cities with both carbon-capture papers and projects provide evidence that this subfield has both academic and student-level representation in the same places. Whether the temporal ordering is consistent with the idea that student projects follow academic work — or precede applied/patent activity — will be examined once patents are added to the corpus. The keyword-based tagging used here is deliberately conservative: it flags artifacts that explicitly mention carbon-capture terminology rather than attempting to infer thematic relevance. This means the 267 papers and 141 projects are a lower bound on the true carbon-capture subset.