Spare Parts: Four Undocumented Teenagers, One Ugly Robot, and the Battle for the American Dream
Joshua Davis
Finalist for the J. Anthony Lukas Book Prize New York Times Best Seller Four undocumented Mexican American students, two great teachers, one robot-building contest . . . and a major motion picture In 2004, four Latino teenagers arrived at the Marine Advanced Technology Education Robotics Competition at the University of California, Santa Barbara. They were born in Mexico but raised in Phoenix, Arizona, where they attended an underfunded public high school. No one had ever suggested to Oscar, Cristian, Luis, or Lorenzo that they might amount to much—but two inspiring science teachers had convinced these impoverished, undocumented kids from the desert who had never even seen the ocean that they should try to build an underwater robot. And build a robot they did. Their robot wasn't pretty, especially compared to those of the competition. They were going up against some of the best collegiate engineers in the country, including a team from MIT backed by a $10,000 grant from ExxonMobil. The Phoenix teenagers had scraped together less than $1,000 and built their robot out of scavenged parts. This was never a level competition—and yet, against all odds . . . they won!
Award History
0 wins · 2 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| Andrew Carnegie Medal for Excellence in NonfictionMajor | 2015 | Longlist | Official source |
| J. Anthony Lukas Book Prize | 2015 | Finalist | Secondary 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.
These suggestions did not meet the normal display threshold and are more likely to be wrong.
- Oscar38%
- Cristian38%
- Lorenzo36%
02 Central places
- University of California, Santa Barbara80%
- Phoenix, Arizona78%
Show lower-confidence suggestions
These suggestions did not meet the normal display threshold and are more likely to be wrong.
- Mexico42%
03 Suggested argument
No argument inferred with sufficient confidence.
04 Reading orientation
38 / 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: 72%.