1. staff presentation (45 mins) - boarddocs, a diligent brand · 2020. 9. 15. · tonight’s...
TRANSCRIPT
Ad Hoc Committee on Student Assignment
September 14, 2020
1
Orla O’KeeffeChief Policy & Operations
Henry O’ConnellProject Manager
Tonight’s Agenda
1. Staff Presentation (45 mins)a. Introduction and Framingb. Draft Theory of Actionc. Narrowing Down the Concepts and
Discussion of Tradeoffsd. Key Questions Explore Further
2. Public Comment (25 mins)
3. Board Discussion (50 mins)
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Desired Outcomes for Tonight’s Discussion By the end of this meeting, the Board will have provided
staff with concrete feedback on:
1. A draft theory of action for student assignment.
2. Whether the Board is willing to take Concept 1 (initial assignment) off the table.
3. Whether the Board would potentially approve non-contiguous or oddly shaped zones.
3
What does the Board think?
SAN FRANCISCO UNIFIED SCHOOL DISTRICT
Introduction and Framing
4
Each year, the Board’s Ad Hoc Committee on Student Assignment hosts a series of public working meetings with staff to monitor SFUSD’s student assignment policy.
The focus since 2019 has been Resolution 189-25A1: Developing a Community Based Student Assignment System for SFUSD (Approved 12/11/2018)
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Current Policy● Video● Board Policy
Policy Development Materials● sfusd.edu/studentassignment ● sfusd.edu/adhoccommittee
Supporting MaterialsCommittee’s Purpose
● Predictability
● Proximity
● Diversity
Board Resolution 189-25A1 listed a number of potential policy goals
● Predictability
● Simplicity
● Transparency
● Access to a school where sibling(s) attend
● Accessibility to neighborhood options
● A strong commitment to integrated schools
● Access to a diverse school
● Equity
● Access to a high quality school
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Synthesized Goals
Equity Lens
Stated in Resolution
Policy Design Principles What principles will help us choose between the
policy goals if confronted with conflicting issues?
1. Equity: The student assignment policy will work towards equity in SFUSD.
2. Anti-racism: The student assignment policy will help produce a race equity culture.
3. Simplicity: The student assignment policy will be simple and easy to understand.
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SFUSD’s Definition of Equity
Every learner receives what they need to develop to their full potential.
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The work of eliminating oppression, ending biases, and ensuring equally high outcomes for all participants through the creation of multicultural, multilingual, multiethnic, gender equitable, multiracial, and inclusive practices and conditions; removing the predictability of success or failure that currently correlates with any social or cultural factor.
SFUSD’s Definition of Working Towards Equity
SFUSD’s Definition of Anti-Racism
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A Race Equity Culture is one that is focused on
proactive counteraction of race inequities inside and
outside of an organization. Building a Race Equity
Culture is the foundational work when organizations
seek to advance race equity; it creates the conditions
that help us to adopt anti-racist mindsets and actions
as individuals, and to center race equity in our life and
in our work. A Race Equity Culture is the antithesis of
dominant culture, which promotes assimilation over
integration and dismisses opportunities to create a
more inclusive, equitable environment. The work of
creating a Race Equity Culture requires an adaptive
and transformational approach that impacts behaviors
and mindsets as well as practices, programs, and
processes.
Equity in the Center. https://www.equityinthecenter.org/wp-content/uploads/2019/06/Awake-to-Woke-to-Work-Glossary-of-Terms-.pdf
SFUSD’s Definition of Race Equity Culture
Anti-racism is the active, conscious, and
non-neutral process of identifying and
eliminating racism by changing systems,
organizational structures, policies, practices,
and attitudes, so that power is redistributed and
shared equitably.
The heart of an anti-racist system is personal,
professional, and system-wide accountability.- adapted from NAC International Perspectives: Women and Global Solidarity
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Simplicity
It’s really complexto make somethingsimple.
- Jack Dorsey
SAN FRANCISCO UNIFIED SCHOOL DISTRICT
Draft Theory of ActionFor Student Assignment
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Draft Theory of Action for Student Assignment
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Does this accurately
capture what changes the
Board wants to make and why?
If… (implementation of change idea) then... (short-term impact) so that…. (long term impact)
If the Student Assignment Policy:1. Diversity: Creates assignment zones
that are racially, ethnically, socioeconomically, linguistically, and academically diverse; and
2. Diversity: Assigns students so that every school mirrors the diversity of its zone; and
3. Choice: Gives all students access to the range of programs in SFUSD;
4. Equity: Prioritizes younger siblings and historically underserved students; and
5. Predictability: Provides all students with certainty that they will be placed at an elementary school in their assignment zone; and
If the Educational Placement Center offers a simple process that makes it easy for families to enroll; and
IF transportation routes and schedules are aligned with and support assignment zones; and IF each and every elementary school facilitates positive interaction across difference, and provides equitable access to resources and opportunities that exist within the school;
● Simplicity: Families’ first experience with SFUSD will be a simple and predictable enrollment process; and
● Diversity: Zone enrollments will help create more diverse enrollment and will increase enrollment in currently under-enrolled schools; and
● Predictability: Increasing stability in enrollment patterns will reduce transportation costs and support multi-year planning and budgeting; and
● Equity: Resources will be more equitably allocated across elementary schools (students, programs, staff, funding); and
● Confidence: Community confidence in SFUSD will increase and there will be strong community connections to local schools; and
● Diversity: Every elementary school will be diverse and integrated
● Equity: Every learner will receive what they need to develop to their full potential.
Feedback on the theory of action will help refine the Board’s goals for a new student assignment policy, and the metrics to monitor and measure impact.
How will we know if a change led to improvement?
● What evidence of implementation will we collect?
● What evidence of immediate outcomes will we collect?
● What evidence of long-term outcomes will we collect?
Goals and Metrics
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SAN FRANCISCO UNIFIED SCHOOL DISTRICT
Narrowing Down the Concepts and Discussion of Tradeoffs
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Concept #1: Initial Assignment + Choice
Concept #2: Choice in Small Zones
Concept #3: Choice in Medium Zones
Goals Predictability, Diversity, Proximity Predictability, Diversity, Proximity Diversity, Predictability, Proximity
Student Assignment
Automatic assignment, then optional choice process
Choice Choice
Geographical Constraints
Attendance Areas (1 school) Zones (3 - 5 schools) Zones (8-12 schools)
Portfolio of Schools
1. Attendance Area Schools2. Citywide Schools
1. Zone Schools2. Citywide Schools
1. Zone Schools
3 Concepts for a New Elementary Assignment System
Summary of findings and tradeoffs
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Community Input
Simulation Results
Diversity(Racial/ethnic, socioeconomic)
Predictability(Range of possible outcomes, # of different assignments in 10 simulations)
Proximity(Distance/ community cohesion)
Choice (Not a goal - measure of disruption to status quo)
Concept 1Initial assignment
3.3/5 MixedDepends on metric
Slightly better Slightly better MixedDepends on metric
Concept 2Small zones
3.5/5 Non-contiguousBetter (generally)
Slightly better Better
Slightly worseContiguous
Worse (always*)Much Better
Concept 3Medium zones
2.5/5 Better(generally)
Slightly better Worse(generally)
Slightly Worse
2019-20 Assignments (baseline)
*Simulations have not yet found a set of small contiguous zones that do better on measures of racial/ethnic and socioeconomic diversity than our current system.
Community Input
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Policy
How well do options work in support of SFUSD’s goal of Access and Equity?
Data (demographics, choice, capacities, etc.)
Feedback from the Board of
Education
Community Input Research and
Case Studies
Simulations of Policy
Outcomes
How well do options achieve the Board’s policy goals of diversity, predictability, and proximity?
How SFUSD will develop a new policy for assigning students to elementary schools
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Key Takeaways - Generally
Community Engagement Report
● Community members were conflicted on proximity -- people want to go to school close to home, but they want to be confident in the quality of their local schools first
● People also want to maintain some degree of choice. Most
people don’t want too much (overwhelming) or too little (restrictive) choice
● Choice was especially important to African American, Latinx,
and low-income families
● Boundary design will be very important; many found it
difficult to give feedback without knowing what the boundaries would look like
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What did families think about the 3 concepts?
Community Engagement Report
● Concept 1 was only popular among higher income families, and families who live on the west side
● Concept 2 emerged as the most popular among almost every demographic group, including African American, Latinx, and low-income families
○ Despite this, African American, Latinx, and low-income families
were skeptical that any of the concepts would work for them,
including Concept 2
● Concept 3 was disliked by almost every demographic group
○ Some felt this was too restrictive (no choice outside of zones),
or had concerns about the feasibility of drawing equitable zones
or moving programs. Others thought this provided too much
choice (felt like the current system, on a slightly smaller scale).
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Concept 1: Initial Assignment + Choice
Families in the Southeast had serious concerns about Concept 1.
Concept 1 was only popular among higher income families.
Participants noted that a proximity-based student assignment system “makes winners and losers. The winners are the ones who already have the money to live in the nicer neighborhoods.” [Starr King Elementary School]
African American and Latinx families rated Concept 1 as
the least likely to meet their needs.
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Concept 2: Small Zones (3-5 schools)
There were questions about concept 2 in the Southeast, but there wasn’t intense opposition. This could be workable with some changes or creatively
drawn zones.
Most demographic groups rated Concept 2
as the most likely to meet their families needs.
Despite this, African American, Latinx, and low-income families were still skeptical that any of the concepts would work for them.How might we adjust Concept 2 to better meet the needs of African American and Latinx families?
Concept 3: Large Zones (8-12 schools)
Families throughout the city disliked Concept 3.
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Most demographic
groups did not believe Concept
3 would meet their needs.
Simulations
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Policy
How well do options work in support of SFUSD’s goal of Access and Equity?
Data (demographics, choice, capacities, etc.)
Feedback from the Board of
Education
Community Input Research and
Case Studies
Simulations of Policy
Outcomes
How well do options achieve the Board’s policy goals of diversity, predictability, and proximity?
How SFUSD will develop a new policy for assigning students to elementary schools
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Background/expertise in matching markets & algorithm design
○ Itai Ashlagi, Associate Professor of Management Science and Engineering
○ Irene Lo, Assistant Professor of Management Science and Engineering
Student Researchers
● Adonis Pugh, Undergraduate student in
Chemistry
● Faidra Monachou, PhD student in
Management Science and Engineering
● Juliette Love, Masters student in Computer
Science
● Kaleigh Mentzer, PhD student in
Computational and Mathematical Engineering
● Lulabell Ruiz-Seitz, Undergraduate student in
Mathematics
● Max Allman, PhD student in Management
Science and Engineering
Stanford Research Team 26
How do the concepts trade off between SFUSD goals?
● Key Takeaways○ Concept 1 can have a small, positive effect on
district goals but doesn’t shift outcomes much from the status quo
○ Restricting choice within zones (Concepts 2 and 3) can improve diversity, but outcomes depend heavily on how the zone boundaries are drawn
○ When drawing zone boundaries there is a tradeoff between diversity and predictability/proximity
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Policy Simulations28
Available Schools and Programs
Tiebreakers
Requests
Students
School Assignments
Simulations assume some things are fixed:● Students who apply to SFUSD will look similar to students who have
applied in past years
● The types of schools and programs families request won’t change under a new policy
And some things can be changed:● A new policy can change which schools and programs students can apply
to (e.g. zones, citywide schools)
● We can test different combinations of tiebreakers (e.g. sibling, CTIP, etc.)
● We can re-write the assignment algorithm to try to maximize for different goals (e.g. % of students getting their first choice vs. % of students getting one of their choices).
Assignment Algorithm
Simulating the concepts
1. DATA: The Stanford research team ran simulations for each of the concepts based on students who participated in kindergarten student assignment in 2018-2019, using the preference lists they submitted in their first round of participation in 2018-2019, the capacities from 2018-2019.
2. ALGORITHM. Simulations used the choice algorithm that was used for student assignment in 2019-2010 . The algorithm lets students rank schools in order of preference, and tries to assign them to their preferred schools, giving priority to students based on
tiebreakers for sibling, CTIP1, and zone priority.
3. POLICY LEVERS FOR SIMULATION.
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INITIAL ASSIGNMENT TO ATTENDANCE AREA. Students are initially assigned to their attendance area school, and have the option to participate in choice.
ZONE BOUNDARIES WITH RESTRICTED CHOICE. Draw new zone boundaries and restrict students’ access to programs depending on the zone they live in.
DIFFERENTIAL ACCESS TO CHOICE. Give targeted student groups more access to choice, e.g. CTIP1 students, redefined CTIP/target student groups, students in homeless/foster/public housing
GUARDRAILS. Give priority to students during the assignment to ensure that each elementary school’s student population, within an identified zone, reflects the diversity of the zone
OTHER ALGORITHMS. Examples include the transfer mechanism used until 2018-2019, as well as other parameters in the algorithm such as tiebreakers.
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● Doesn’t dramatically change the status quo -- most students receive the same assignment ● There are improvements on predictability and proximity, mostly due to move students going to their
attendance area school. ● There are mixed diversity results, with small improvements in some diversity measures.● Up to 140 students are assigned to non-existent seats (some attendance areas have fewer seats
than the number of students in the attendance area who rank it highly)
Process: We first assigned all students who ranked a program their attendance area school in their top 1 (or top 3, top 5, top 10) to their most preferred program at their attendance area school. We then ran the choice algorithm for the remaining students at the remaining seats at all programs.
Finding: Providing an initial assignment can have small, positive effects on our goals
Concept 1: Initial Attendance Area Assignment + Choice
Concepts #2 & #3: Drawing Zone Boundaries
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● Key Takeaways○ To best achieve the district’s goals, zone boundaries need
to be redrawn. Existing boundaries, such as the
attendance areas and middle school feeder zones, lack
socio-economic and ethnic diversity.
○ The size and shape of zones affect which of the district’s goal they are best able to achieve. There is a tradeoff
between small or contiguous zones, which improve
predictability/proximity, and large or non-contiguous
zones, which have the most effect on diversity.
○ There is significant scope for improving on the zone boundaries that we show today. However board and
community feedback is important for focusing the zones
we explore and appropriately balancing tradeoffs
between predictability, proximity ,and diversity.
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Concept #2: Choice in Small
Zones
Concept #3: Choice in Medium
Zones
Predictability, Diversity, Proximity
Diversity, Predictability, Proximity
Choice Choice
Zones (3 - 5 schools) Zones (8-12 schools)
1. Zone Schools2. Citywide Schools
1. Zone Schools
Concepts 2 and 3 differ in (1) how zones are drawn (small vs medium), and(2) how much access students get to schools outside their zone.
Today’s simulations focus on the effects of how zones are drawn:1. Drew ~100 potential zone boundaries 2. Selected ~20 zone boundaries to simulate 3. Simulated choice algorithm where
students have access only to GE programs in their zone and all citywide and language programs.
Operationalizing Simulations for Concepts #2 and #3
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Middle School Feeder Zones
Existing boundaries, such as the attendance areas and middle school feeder zones, lack diversity in socio-economic status and ethnicity, and don’t balance capacity with the student population.
Why draw new boundaries?
DESCRIPTIONS OF METRICS%FRL Students: Percentage of students living in zone receiving free or reduced lunchNeighborhood SES: Measure of SES combining median household income, poverty and adult educational attainment; averaged across students living in zone Ethnic Diversity: Distance between distribution of ethnicities of students living in zone and district distributionCapacity Deficit: #students in zone - #seats in zone, including citywide seats geographically located in zone
For student measures, darker blue areas are higher need and/or less diverse.
% FRL Students Neighborhood SES
Ethnic Diversity Capacity deficit
Metrics by MSF Zone
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● Attendance areas were used as building blocks for zones
● The balance of students was considered to ensure that zones had roughly the same number of students
● Different types of contiguity were considered○ Contiguous zone = all blocks border each other○ Non-contiguous zone = some blocks do not border others
● Limited search to zones meeting criteria for socio-economic and ethnic diversity of the underlying student population:○ Average FRL compared to district average○ Average AALPI Score compared to district average○ Average Diversity Index compared to district average
● For different sets of criteria, minimized the capacity imbalance for medium zones (6-8 zones) and small zones (10-13 zones)
Maps are for illustrative purposes only
1. Drawing possible zone boundaries using optimization
Balance of students
Socioeconomic diversity
Ethnic diversity
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Maps are for illustrative purposes only
Illustrative examples of how zones could be configured across various
criteria and considerations
Non-contiguous
Contiguous
Small Zones(12-13 zones: more colors)
Medium Zones (6-8 zones: fewer colors)
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● For each set of criteria, used optimization tools to generate hundreds of zone boundaries that satisfy the criteria
● Considered measures of socio-economic diversity and ethnic diversity and selected 14 small zones, 12 medium zones on the frontier according to these measures
Max FRL percentage
2. Selecting Zone Boundaries to Simulate
Max distance vs Max FRL percentage (Each blue dot represents a zone map)Distance
Note: Today’s results are based on simulations where we chose zones based on diversity measures for the student populations living in the zones. We are now also able to choose zones based on diversity measures that capture the effects of choice.
Tradeoffs in Drawing Zones: Measures Without Choice
SMALL, CONTIGUOUS ZONES are likely to improve proximity and predictability and provide simplicity. However, they tend to be less diverse.
Non-contiguous
Contiguous
Small Zones(12-13 zones,
4-5 schools each)
EXAMPLEZONES
Medium Zones (6-8 zones,
10-12 schools each)
Ethnic Diversity
Hellinger: Distance between distribution of ethnicities of students living in zone and district distribution. Darker blue indicates larger distance.
%FRL: Percentage of students living in zone receiving free or reduced lunch. Darker blue indicates higher concentration of such students.
Socio-economic Diversity
MEDIUM, NON- CONTIGUOUS ZONES are best able to disrupt existing residential patterns of socioeconomic disparity between zones, and can improve diversity of the student population within zones (i.e. make the shades of blue lighter and more similar).
Maps are for illustrative purposes only
38
● Smaller zones improve predictability, reduce distance and improve community
cohesion and provide less choice
● Larger zone boundaries can potentially improve socio-economic diversity
● However the specific shape of the zones significantly affects diversity, and so
zones need to be drawn and evaluated very carefully.
Tradeoffs in Drawing Zones: Measures With Choice
39Tradeoffs in Drawing Zones: Predictability and Proximity With Choice
Predictability of assignment is better with small zones than medium zones.
Proximity is improved by small zones, especially contiguous, and can worsen with medium zones.
Predictability
%Assigned outside Top 3
# Distinct Assignments
Better predictability
Worse predictability METRICS
# Distinct Assignments from 10 runs of the algorithm
% Assigned outside Top 3 of the programs they ranked and have access to
Small (4-5 schools)- Student has on average 2.4 distinct assignments out of 10Medium: (10-12 schools)- Student has on average 2.7 distinct assignments out of 10
METRICS
Community Cohesion: % Students attending program with fewer than 3 students from their block group.
Distance (miles): Average travel distance for students from assigned program
DistanceBetter
proximity
ProximityCommunity Cohesion
2019-20 Algorithm
Small contiguous Small non-contiguousMedium non-contiguousMedium contiguous
40
Ethnic Diversity Measure 1
Ethnic DiversityMeasure
2
Ethnic Diversity
More Diverse
2019-20 Algorithm
Less Diverse
Socio-Economic Diversity
2019-20 Algorithm
SES Diversity Measure 1
SESDiversityMeasure
2
More Diverse
Less Diverse
Non-contiguous or medium zones can give more diverse outcomes.● Socio-economic diversity is generally improved by medium zones and
worsens with small zones● Ethnic diversity is generally improved by non-contiguous zones and
worsens with contiguous zones
The specific shape of the zones significantly affects diversity, and so zones need to be drawn and evaluated very carefully.
● Small non-contiguous zones can improve diversity● Medium zones do not necessarily improve diversity.● Socio-economic and ethnic diversity are not always aligned● Different zones are doing better on different measures of
socio-economic diversity and ethnic diversity
Choice can lead to re-segregation within the zone even if populations within the zones are diverse. In addition to drawing diverse zones we must
consider other levers such as guardrails and differential access to choice.
Tradeoffs in Drawing Zones: Diversity With Choice
Small contiguous Small non-contiguousMedium non-contiguousMedium contiguous
41All Concepts Reduce Student Choice
All concepts shown today reduce student choice. Assuming that students prefer some of the programs that would no longer be available to them, moving to one of the concepts would likely reduce:
● the number of students receiving their 1st choice by ~10%● the number of students receiving one of their top 3 choices by ~5%.
1st Choice
Top 3 Choice
Rank (all listed programs) In-Zone Rank (all listed accessible programs)
Less Choice
Less Choice
1st Choice
Top 3 Choice
2019-20 Algorithm 2019-20
Algorithm
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● We now have a simulation engine to generate hundreds of zone boundaries that satisfy the criteria
● Can look at the tradeoffs between measures of socio-economic diversity and ethnic diversity capturing effects of choice and use this to narrow down on possible zone boundaries
Ethnic Diversity vs Socio-Economic Diversity(Each blue dot represents a zone map)
SES Diversity
Drawing Zone Boundaries: What next?
Ethnic Diversity
More Diverse
Less Diverse
43Other Considerations
Today’s focus:
1. INITIAL ASSIGNMENT TO ATTENDANCE AREA. Students are initially assigned to their attendance area school, and have the option to participate in choice.
2. ZONE BOUNDARIES WITH RESTRICTED CHOICE. Draw new zone boundaries and restrict students’ access to programs depending on the zone they live in.
There are other levers that can be explored, including:
1. BETTER ZONES. Zones can be improved, as we can consider finer-grained zones, perform more targeted search, and incorporate citywide schools.
2. DIFFERENTIAL ACCESS TO CHOICE. Give targeted student groups more access to choice, e.g. CTIP1 students, redefined CTIP/target student groups, students in homeless/foster/public housing
3. GUARDRAILS. Give priority to students during the assignment to ensure that each elementary school’s student population, within an identified zone, reflects the diversity of the zone
4. LANGUAGE PROGRAM ZONES. Our simulations gave students access to all language programs. Language program zones could be used with GE program zones to increase predictability and proximity, and may also help with diversity.
5. OTHER ALGORITHMS. There are other algorithms, such as the transfer mechanism used up until 2018-2019. Our simulations indicate that the tradeoff is typically between algorithms that increase choice versus algorithms that increase diversity.
● Given the priorities of diversity, predictability and proximity, we recommend taking Concept 1 off the table, and focusing on drawing zones that improve both diversity and some aspects of proximity.
● To focus the search for better zones, we need more clarity on how SFUSD is weighing these tradeoffs.E.g.: Small non-contiguous zones can do well on diversity, predictability, and some measures of proximity (cohesion).
Next Steps44
SAN FRANCISCO UNIFIED SCHOOL DISTRICT
Staff Reflections and Key Questions to Explore Further
45
Summary of findings and tradeoffs
46
Community Input
Simulation Results
Diversity(Racial/ethnic, socioeconomic)
Predictability(Range of possible outcomes, # of different assignments in 10 simulations)
Proximity(Distance/ community cohesion)
Choice (Not a goal - measure of disruption to status quo)
Concept 1Initial assignment
3.3/5 MixedDepends on metric
Slightly better Slightly better MixedDepends on metric
Concept 2Small zones
3.5/5 Non-contiguousBetter (generally)
Slightly better Better
Slightly worseContiguous
Worse (always*)Much Better
Concept 3Medium zones
2.5/5 Better(generally)
Slightly better Worse(generally)
Slightly Worse
2019-20 Assignments (baseline)
*Simulations have not yet found a set of small contiguous zones that do better on measures of racial/ethnic and socioeconomic diversity than our current system.
Key Questions to Explore Further
Tonight:
○ Are we ready to take Concept 1 off the table?
○ Zones are a powerful lever to increase all of our policy goals. However, the way zones are drawn matters a lot, and there are tradeoffs between proximity and diversity. Are we willing to draw non-contiguous, or oddly shaped zones?
Future Meetings:
○ Many families value proximity for its logistical benefits (easy pickup/dropoff) and community cohesion (kids go to school with their neighbors). How might we accomplish both via busing?
○ How might we improve on our goals by including K8 schools as part of a zone, and drawing service areas for language pathways and special education?
○ Even if the zone is diverse, choice can lead to re-segregation within the zone. How might we incorporate other levers (e.g., guardrails in the algorithm) to limit self-segregation?
○ Choice emerged as especially important to African American, Latinx, and low-income families. How might we prioritize choices for focal communities (e.g. by revising CTIP)?
47
Policy
How well do options work in support of SFUSD’s goal of Access and Equity?
Data (demographics, choice, capacities, etc.)
Feedback from the Board of
Education
Community Input Research and
Case Studies
Simulations of Policy
Outcomes
How well do options achieve the Board’s policy goals of diversity, predictability, and proximity?
How SFUSD will develop a new policy for assigning students to elementary schools
48
1. Does the draft theory of action accurately capture what changes the Board wants to make and why?
2. Are the Board willing to take Concept 1 off the table?○ Board almost took Concept 1 off the table in December○ Southeast community has expressed opposition.○ Simulations showed small, positive effects, but the benefits were concentrated
among families who already liked their attendance area schools.○ Capacity constraints make this logistically difficult to implement
3. Would the Board potentially approve non-contiguous, or oddly shaped zones?
○ They seem to do well on metrics of diversity, predictability, and proximity. ○ However, diversity metrics are very sensitive to how the maps are drawn -- if
zones are too proximate, then diversity decreases
Prompts for Board Discussion
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What does the Board think?
SAN FRANCISCO UNIFIED SCHOOL DISTRICT
Next Steps
50
● Use the Board’s feedback to advance the development a policy recommendation
● September 29, 2020, 5 pm Ad Hoc Committee○ Zones, pathways, and how we might incorporate
other levers e.g., CTIP, guardrails, priorities
● October 14, 2020, 5 pm Ad Hoc Committee○ Staff Recommendation○ Community engagement plan
Immediate Next Steps
51
SFUSD, Stanford and UC Berkeley hosting a series of online conversations about the history of SFUSD’s school desegregation efforts, the benefits of school integration, and the implications of school choice.
● Friday, September 11 from 3-4pm○ History of Student Assignment in SFUSD
● Thursday, September 17 from 4-5pm○ Research about School Integration
● Monday, September 21 from 3-4pm○ Research about School Choice
● To be scheduled○ Panel discussion on policy recommendation
Sign up at bit.ly/SFUSDresearch
Free Speaker Series Open to Public
52
Staff just launched a weekly Student Assignment Newsletter and Blog which will be active in September and October and the Board discusses the student assignment policy.
● First blog post: What’s Happening With Student Assignment
To read the blog and sign up for the newsletter, visit: www.sfusd.edu/studentassignment
Newsletter and Blog
53
2020-21 School Year 2021-22 SY 2022-23 SYFall Winter Spring Summer Fall Winter Spring Summer Fall
Start of School
● Boundaries & feeders● Transportation routes● Programmatic changes● Enrollment infrastructure● Marketing & communication
● 10/20/20 First Reading
● Community Engagement
● 12/1/202 3 pm Committee of the Whole
● 12/8/20 Second Reading and Action
Launch enrollment
2023-24 SYAug Sep Oct Nov Dec Spring
* Might require more time depending on the scale of change
Policy Development Timeline
Develop
Decide
Implement*
Enroll
● Aug 31 - 5 pm, Ad Hoc
● Sep 11 - 3 pm, Speaker Series - History
● Sep 14 - 5 pm, Ad Hoc
● Sep 17 - 4 pm, Speaker Series - Integration
● Sep 21 - 3 pm, Speaker Series, Choice
● Sep 29 - 5 pm, Ad Hoc
● Oct 14 - 5 pm, Ad Hoc - Recommendation
1. Does the draft theory of action accurately capture what changes the Board wants to make and why?
2. Are the Board willing to take Concept 1 off the table?○ Board almost took Concept 1 off the table in December○ Southeast community has expressed opposition.○ Simulations showed small, positive effects, but the benefits were concentrated
among families who already liked their attendance area schools.○ Capacity constraints make this logistically difficult to implement
3. Would the Board potentially approve non-contiguous, or oddly shaped zones?
○ They seem to do well on metrics of diversity, predictability, and proximity. ○ However, diversity metrics are very sensitive to how the maps are drawn -- if
zones are too proximate, then diversity decreases
Prompts for Board Discussion
55
What does the Board think?
SAN FRANCISCO UNIFIED SCHOOL DISTRICT
Questions
56
SAN FRANCISCO UNIFIED SCHOOL DISTRICT
Appendix
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● Web page: www.sfusd.edu/studentassignment○ Community Engagement Report
● Class Action: Desegregation and Diversity in San Francisco Schools, by Rand Quinn (UPenn)
● Children of the Dream: Why School Integration Works, by Rucker Johnson (UC Berkeley)
● The Color of Law : A Forgotten History of How Our Government Segregated America, by Richard Rothstein
● How to Be an Antiracist, by Ibram X. Kendi
● Nice White Parents, New York Times Podcast
Suggested Reading and Podcasts
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