Fire, the oldest combustion problem, is a major cause of human sufferi
ng and material loss, and yet our capabilities to predict its behavior
for prevention and control is very limited. Efforts to improve fire s
afety have often concentrated on improving fire protection systems and
extending fire service rather than on fire research. However, we see
that fire periodically overruns the traditional fire suppression metho
ds, particularly when there are natural disasters as wildland fires af
fecting urban areas, or earthquakes, or even when human errors or arso
n take place in complex facilities, such as petro-chemical industries,
large buildings, or fuel transport. What is needed is a better fundam
ental understanding of fire initiation and development, which can then
be applied during the design stage to minimize fire occurrence, rathe
r than relying primarily on fire detection and suppression. The goal i
s to bring our predictive capabilities to a point where fire models co
uld be developed for use by the designers of buildings, urban developm
ents, factories, transportation, and space habitats, allowing them to
evaluate the fire safety of their designs, and improve them if necessa
ry. Significant progress has been made during the last twenty five yea
rs in fire prediction, but the question is whether we will be able to
reach the above goal in the next quarter century.