Underbug
Lisa Margonelli
"Are we more like termites than we ever imagined? In Underbug, the award-winning journalist Lisa Margonelli introduces us to the enigmatic creatures that collectively outweigh human beings ten to one and consume $40 billion worth of valuable stuff annually. Over the course of a decade-long obsession with one of nature's most influential but least understood bugs, Margonelli pokes around termite mounds and high-tech research facilities, closely watching biologists, roboticists, and geneticists. What begins as a natural history of the termite becomes a personal exploration of the unnatural future we're building, with darker observations on power, technology, historical trauma, and the limits of human cognition. Her globe-trotting journey veers into uncharted territory, from evolutionary theory to Edwardian science literature to the military-industrial complex. Whether in Namibia or Cambridge, Arizona or Australia, Margonelli turns up astounding facts and raises provocative questions. Is a termite an individual or a unit of a superorganism? Can we harness the termite's properties to change the world? If we build termite-like swarming robots, will they inevitably destroy us? Is it possible to think without having a mind?
Award History
1 wins · 1 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| PROSE Award for Outstanding Work by a Trade Publisher | 2019 | Winner | Official source |
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies
This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.
01 Central figures
None extracted with sufficient confidence.
02 Central places
None extracted with sufficient confidence.
These suggestions did not meet the normal display threshold and are more likely to be wrong.
- Namibia42%
- Cambridge40%
- Arizona36%
03 Suggested argument
No argument inferred with sufficient confidence.
04 Reading orientation
35 / 100 academicSerious trade
An estimate of intended readership and scholarly apparatus—not quality or importance.
Confidence percentages are the model's own estimates. Profile confidence: 68%.