|
Rensselaer Researchers Developing Model To Predict Organizational Response to Extreme Events
FEMA, Coast Guard responses to Hurricane Katrina
help researchers simulate how organizational characteristics
improve or impede emergency management
Troy, N.Y. — By studying the organizational culture of the
Federal Emergency Management Agency (FEMA) and the United
States Coast Guard, as well as each organization’s response to
last year’s Hurricane Katrina, a team of researchers at
Rensselaer Polytechnic Institute has begun to develop a dynamic
model of organizational processes with the capacity to predict
how an organization’s culture will affect its ability to
respond to an extreme event.
In the wake of Katrina, a category 5 hurricane that
devastated much of the nation’s Gulf Coast region in August
2005, three Rensselaer students traveled to New Orleans to
collect paperwork, e-mails, reviews, assessments, and other
documents that could provide them with information about how
each organization reacted to any given task during the
disaster. The recovered paper trail also provided the
researchers with insight into a variety of cultural and
organizational characteristics that impacted both agencies’
ability to act during the disaster.
Throughout the group’s research, a vast dichotomy between
the cultures of FEMA and the Coast Guard became increasingly
evident, according to William “Al” Wallace, professor of
decision sciences and engineering systems (DSES) at Rensselaer,
and principal investigator on the project. The researchers
believe these cultural factors ultimately dictated how well
each organization was able to carry out its function and
responsibilities.
“FEMA’s fatalist culture, coupled with the loss of its
cabinet-level position and budget and rulemaking authority,
crippled the agency’s ability to fulfill its normal repertoire
of emergency coordination and response during Katrina,” says
Wallace. “On the other hand, the Coast Guard had undergone
minimal organizational changes and had its pre-existing
routines supported, thus it was better equipped to fulfill its
duties during the disaster. Additionally, because of the Coast
Guard’s hierarchical culture, action orders continually
disseminated through the organization’s chain of command to the
response team.”
Today Wallace is leading a team of researchers to construct
a computer simulation that models an extreme disaster situation
– similar to that of Hurricane Katrina – where decision-makers
are forced to shift their attention from one dimension to
another, responses often play out over long durations of time,
and information demands vary between interacting response
organizations.
They’ll then input a series of “what if” scenarios related
to organizational structure and culture into the disaster
model. Algorithms, or automated reasoning, will predict how
each organization’s constraints would affect its ability to
effectively react to an emergency. The organizational factors
observed by the researchers while studying FEMA and the Coast
Guard will be used to test the model and to set the
parameters.
“Essentially, the model will be able to determine how well
an organization will respond to a disaster based on the rules
it is following and its organizational structure,” says
Wallace, who warns that the device is not a scenario generator.
“It won’t tell you ‘if you have a disaster and you don’t get
enough ice to the victims in time, this will happen.’ Instead
it will say ‘if you institute these rules and a disaster
happens, you will succeed or you will fail.’”
Wallace sees the model as a diagnostic tool that could help
local, state, and federal governments shed light on the
vulnerability of certain organizational features. It could also
aid in the development of more flexible, responsive approaches
to risk management, which is key to improving organizational
responses to extreme events, according to the researchers.
“When a group of people are ingrained in an organization, it
can be difficult to identify the day-to-day operations or
procedures that could potentially become roadblocks when
responding to certain situations,” Wallace says. “This model
will be a tool for organizations to study and reflect on the
ways their culture affects their ability to function.”
Two University of Washington researchers, Peter May and
Bryan Jones, serve as co-principal investigators on the
project, which also will consider how states assign risk
priorities, and how the federal government influences those
priorities. Other researchers include: Rachel Dowty and Colin
Beech, two doctoral candidates in the Department of Science and
Technology Studies (STS) at Rensselaer, and Yao Zheng, a senior
in mechanical and nuclear engineering at Rensselaer.
Rensselaer’s portion of the collaborative research is funded
by a three-year $299,578 National Science Foundation (NSF)
Human and Social Dynamics (HSD) grant. An NSF Small Grant for
Exploratory Research (SGER) funded the Rensselaer team’s
initial travel to New Orleans.
Link
to printer-friendly pdf
|
Published
November 3,
2006 |
Contact: Amber Cleveland
Phone: (518) 276-2146
E-mail: clevea@rpi.edu |
|