With fewer available seats in good public schools than families who want them, many cities face a vexing challenge: How do you decide which children go where?
Enter Neil Dorosin.
“You have to allocate public school seats fairly, transparently, and efficiently, but it turns out that’s not so easy to do,” said Mr. Dorosin, the executive director of the, based in New York City. “We help cities solve that problem.”
Over the past decade, Mr. Dorosin and the nonprofit IIPSC have used a combination of economic theory and custom software to help overhaul the school choice and student-assignment systems in New York, Boston, Denver, and New Orleans. That work has converted a tangled web of school applications, deadlines, and admissions preferences into algorithms that generate one best school offer for every student.
To read more about how New York City is trying to utilize data, see(December 3, 2013).
“There is a science to giving parents what they want in greater numbers,” Mr. Dorosin explained.
For the time being, at least, IIPSC has almost totally cornered the market on providing that service, and the group is now poised to expand. In March, the Michael & Susan Dell Foundation awarded the institute $1.2 million that will be used to do work in Philadelphia, Washington, and a third city, likely Detroit. A fourth city could soon follow.
“School choice exists in most cities. It can either be organized and facilitated, or it can be the Wild West,” said Joe Siedlecki, the program and policy officer for the foundation’s U.S. education team.
While IIPSC’s initial efforts included only district-managed schools, the group’s focus now is on creating “universal enrollment” programs that bring district and charter schools together in one centralized school assignment system. Proponents say that rationalizing the mechanisms that govern messy school choice marketplaces can help fix a host of problems, including opaque rules that unfairly benefit middle-class families, sometimes-sneaky admissions practices at charter schools, and long student waiting lists that hinder both families’ and schools’ ability to plan.
Because the assignment systems generate reams of data on parental demand for different schools and programs, they are also seen as a pillar of the, in which families are offered an array of education options that may be expanded or closed based on performance and other factors.
But there is some evidence that algorithm-based school assignment doesn’t help more disadvantaged children actually gain access to better schools, and some observers worry that such systems force parents to make choices without adequate information.
In some cities, universal enrollment has also sparked opposition from advocates for regular public schools.
“We’ve become obsessed with moving children around rather than investing in schools to improve them,” said activist Helen Gym, a founder of the group, based in Philadelphia. “I think that’s a bad approach.”
Allocating Scarce Resources
Mr. Dorosin of IIPSC described the field of “market design” that underlies the institute’s work in lay terms: Some scarce goods, like expensive women’s shoes, can be distributed by selling them to the highest bidder, he said. But others—human organs, for instance—cannot.
The latter is not an abstract example. IIPSC’s board chairman,, a professor at Stanford University who won a Nobel Prize in economics in 2012, designed an overhaul of the nation’s system for matching the limited number of kidneys donated each year to the much longer list of those who need a transplant.
To match students with seats in public schools, IIPSC creates algorithms that draw from three sets of data: The schools’ families actually want their children to attend, listed in order of preference; the number of available seats in each grade at every school in the system; and the set of rules that governs admission to each school.
Selective magnet schools might screen for test scores, for example, while charters may give preference to low-income families or to the children of their board members. Most systems prioritize giving siblings the opportunity to attend the same school, and different schools offer dozens of other types of preferences. Fitting all the pieces together makes for an extremely complicated logic problem.
IIPSC software doesn’t guarantee that every family or school will get exactly what it desires, said board member Atila Abdulkadiroglu, an economics professor at Duke University. But the algorithm-building process “helps us to identify the trade-offs, determine what is achievable, and come up with the optimal compromise.”
The benefits are evident in the 1.1 million-student New York City school system, where in 2004, Mr. Dorosin, then the district’s director of high-school-admissions operations, helped lead the nation’s first adoption of an algorithm-based school assignment program. The focus was on district-run high schools.
Entering the 2013-14 school year, three-quarters of the city’s 75,000-plus rising 9th graders now receive one of their top three high school choices. Only about 1,000 students have to be manually placed outside of the algorithm-matching process, via administrative assignments. That’s way down from 30,000 annually before the switch, when a murky “gray market” of high school choice flourished.
In addition, student waitlists have been eliminated, meaning that schools can begin allocating their budgets, hiring staff members, and planning programs—and that all families know where they stand—much earlier in the selection process.
“Previously, those who knew how to work the system were able to get a number of options, and others were left behind,” said Robert Sanft, the CEO of the New York district’s office of student enrollment.
Denver Reaps Benefits
Since the Denver school system paid IIPSC $350,000 in 2011 to help design its new student assignment system, formally known as the, the 88,000-student district has reaped similar rewards, said Shannon Fitzgerald, Denver’s director of choice and enrollment services.
Now, there is a single application process for all district and charter schools, compared with 64 separate processes in 2010-11. Just over 88 percent of participating students were assigned to one of their preferred school options for this fall, Ms. Fitzgerald said. And now, she said, the district knows how every child got placed in each seat in the city—a major problem in years past.
“There [used to be] a lot of blind spots,” she said. “For roughly one-fourth of our kindergarten kids, nobody could really account for how they got into their seats.”
From a technical standpoint, implementing Denver’s new assignment system was relatively easy, she said. It took a total of four months for IIPSC and district technology staff members to create a custom algorithm and the software to run it. There was a monthlong whirlwind of quality-control tests. The biggest “hiccups,” Ms. Fitzgerald said, were related to data entry.
The far greater challenge, she said, came on the front end. District leaders went on a summerlong “road show” to sell the plan to worried parents and skeptical charter operators, some of whom were reluctant to cede control of a process so fundamental to their operations.
“It speaks volumes to the collaborative relationships we have in Denver with our charters that they were all able to put aside their desire to do what’s best for their school alone and to see how this could benefit the greater community,” Ms. Fitzgerald said.
Now in its third year, Denver’s SchoolChoice program costs an estimated $575,000 annually to support.
The troubled school choice and assignment system currently in place in Philadelphia seemed like a prime target for a similar overhaul.
In 2012, the 131,000-student Philadelphia district identified “” at dozens of city charter schools, including one that made its application available on only one day each year, requiring families to attend an open house at a suburban country club to obtain a copy.
And in 2010, Research for Action, an independent nonprofit education research organization based in the city, found that blacks, Latinos, males, and special education students fared far worse than other groups at every stage of the city’s high-school-selection process. All told, the, just 45 percent of Philadelphia 8th graders who completed a high school application in the fall of 2006 ultimately enrolled in any of the district high schools to which they had applied.
Eager to address those problems, Mayor Michael A. Nutter led a delegation of city education leaders on ain January of 2012. Lori A. Shorr, the mayor’s chief education officer, said the group got in touch with Mr. Dorosin shortly after its return. Preliminary work began late last year, Ms. Shorr said, and the Michael & Susan Dell Foundation awarded its grant to IIPSC not long after.
The consultants’ efforts in the District of Columbia, funded by the same pot of money, have proceeded quickly. Officials therethat all of Washington’s regular public schools, which serve 45,000 students, and a majority of its charters would move to a unified system to assign students to schools for next fall.
But the work in Philadelphia has run into significant stumbling blocks.
The school district, beset by a financial crisis, has yet to sign on, and leaders of two major charter school coalitions have balked at the plan, according to Mr. Dorosin.
And when activists caught wind that the Philadelphia School Partnership, a nonprofit that has been leading the city’s push for universal enrollment, sought to include Catholic schools in a new student-assignment system that would be operated by a private entity, a firestorm ensued.
“It’s an extreme proposal that goes further than what any other city has done,” said Ms. Gym of Parents United for Public Education.
Skeptical of Algorithms
Despite the problems Research for Action documented in Philadelphia’s existing system, the group’s executive director, Kate Shaw, is also cool to the idea of universal enrollment. Adopting such a program would amount to little more than “a technical improvement in the process,” she said.
Ms. Shaw pointed to a recentthat found the concentration of at-risk students in low-performing New York City schools had not changed appreciably since the adoption of an algorithm-based assignment system. While 8th graders from all backgrounds are now getting matched to their top high school choices more often, it found, the most-disadvantaged students have either remained ineligible for the city’s top high schools or have chosen not to select those schools, which are often located outside their neighborhoods.
“A universal enrollment process likely won’t change the universe for Philadelphia’s lowest-performing students,” Ms. Shaw concluded.
While acknowledging that universal enrollment is not a “silver bullet,” Mr. Siedlecki of the Michael & Susan Dell Foundation said the data such systems generate can be an invaluable tool in helping school systems “grow their footprint of good schools.”
In New York City, for example, such information has been used to make decisions about which city schools should be replicated or closed—and to create new bilingual and other specialty programs in underserved areas of the city where there is evidence of high demand.
“You get the information you need to change the dynamic,” Mr. Siedlecki said.
Overall, IIPSC is bullish about the future of its approach: The group recently retained a management consultant to help plot its anticipated growth in the coming years, and Mr. Dorosin said that both districts and his own team are just beginning to tap into the power of the parent-demand data that new universal enrollment systems are generating.
“It’s an unprecedented, incredibly large, wonderful opportunity,” he said. “We truly believe that we’ve figured out a system for doing this so parents, schools, and the education reform movement all win.”
Coverage of the education industry and K-12 innovation is supported in part by a grant from the Bill & Melinda Gates Foundation. Education Week retains sole editorial control over the content of this coverage.
A version of this article appeared in the December 04, 2013 edition of Education Week as Cities Regulate School Choice With Software