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The Program on Information Science is pleased to continue a series of brown bag lunch talks addressing topics from preservation storage technology, to University Library hiring practices, to "3D Printing," with speakers from MIT and beyond. Title: Crowd Source Mapping for Open Government Discussant: Dr. Micah Altman, Director of Research, MIT Libraries This talk reflects on lessons learned about open data, public participation, technology, and data management from conducting crowd-sourced election mapping efforts.
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Crowd-Sourced Mapping for Open Government
Prepared for
MIT Libraries Informatics Program Brown Bag Talk
December 2013
Crowd-Sourced Mapping for Open Government
Dr. Micah Altman<[email protected]>
Director of Research, MIT Libraries
Crowd-Sourced Mapping for Open Government
DISCLAIMERThese opinions are my own, they are not the opinions of MIT, Brookings, any of the project funders, nor (with the exception of co-authored previously published work) my collaborators
Secondary disclaimer:
“It’s tough to make predictions, especially about the future!”
-- Attributed to Woody Allen, Yogi Berra, Niels Bohr, Vint Cerf, Winston Churchill, Confucius, Disreali [sic], Freeman Dyson, Cecil B. Demille, Albert Einstein, Enrico Fermi, Edgar R.
Fiedler, Bob Fourer, Sam Goldwyn, Allan Lamport, Groucho Marx, Dan Quayle, George Bernard Shaw, Casey Stengel, Will Rogers, M. Taub, Mark Twain, Kerr L. White, etc.
Crowd-Sourced Mapping for Open Government
Collaborators & Co-Conspirators
• Michael P. McDonald, George Mason University
• Research Support Thanks to the the Sloan Foundation, the
Joyce Foundation, the Judy Ford Watson Center for Public Policy, Amazon Corporation
Crowd-Sourced Mapping for Open Government
Related Work• Altman, Micah, and Michael P McDonald (2014) “Paradoxes of Political Reform:
Congressional Redistricting in Florida”, in Jigsaw Politics in the Sunshine State, University Press of Florida. Forthcoming.
• Altman, Micah, and Michael P McDonald. (2014) “Public Participation GIS : The Case of Redistricting.” Proceedings of the 47th Annual Hawaii International Conference on System Sciences. Computer Society Press (IEEE).
• Micah Altman, Michael P McDonald (2013) “A Half-Century of Virginia Redistricting Battles: Shifting from Rural Malapportionment to Voting Rights to Public Participation”. Richmond Law Review.
• Micah Altman, Michael P McDonald (2012) Redistricting Principles for the Twenty-First Century, 1-26. In Case-Western Law Review 62 (4).
• Micah Altman, Michael P. McDonald (2012) Technology for Public Participation in Redistricting. In Redistricting and Reapportionment in the West, Lexington Press.
• Altman, M., & McDonald, M. P. (2011). The Dawn of Do-It-Yourself Redistricting ? Campaigns & Elections, (January), 38-42
• Michael Altman, Michael P McDonald (2011) BARD: Better automated redistricting, 1-28. In Journal Of Statistical Software 42 (4).
• Micah Altman, M MCDONALD (2010) The Promise and Perils of Computers in Redistricting, 69–159. In Duke J Const Law Pub Policy
Most reprints available from:informatics.mit.edu
Crowd-Sourced Mapping for Open Government
This Talk
• Political Boundary Mapping & Open Government
• Building a Platform for Crowd-SourcedPolitical Boundary Mapping
• Are Publicly Created Maps Different?• Future R&D
Crowd-Sourced Mapping for Open Government
Political Boundary Mapping
Definitions?Electoral Boundary Delimitation. The aim of electoral boundary delimitation is to assign people to equipopulous geographical districts from which they will elect representatives, in order to reflect communities of interest and to improve representation.
Gerrymandering. Gerrymandering is a form of political boundary delimitation, or redistricting, in which the boundaries are selected to produce an outcome that is improperly favorable to some group. The name “gerrymander” was first used by the Boston Gazette in 1812 to describe the shape of Massachusetts Governor Elbridge Ger- ry’s redistricting plan, in which one district was said to have resembled a salamander.
Crowd-Sourced Mapping for Open Government
Maybe Use a Computer?“In summary, elimination of gerrymandering would seem to require the establishment of an automatic and impersonal procedure for carrying out a redistricting. It appears to be not at all difficult to devise rules for doing this which will produce results not markedly inferior to those which would be arrived at by a genuinely disinterested commission.” -- [Vickrey 1961]
“The purpose of this Article is … to describe a simple and politically feasible computer program which can reapportion a legislature or other body of people who represent geo- graphical districts. …The redistricting program proposed is designed to implement the value judgments of those responsible for reapportionment”– [Nagel 1965]
“There is only one way to do reapportionment — feed into the computer all the factors except political registration.” - Ronald Reagan [Goff 1973]
“The rapid advances in computer technology and education during the last two decades make it relatively simple to draw contiguous districts of equal population [and] at the same time to further whatever secondary goals the State has.” - Justice Brennan, in Karcher v. Daggett (1983)
“Let a computer do it”-Washington Post, 2003 ( And many, many blogs)
“Until recently only political parties had the manpower and the tools to redraw boundaries while keeping districts equal in population. Now anybody can play this game, at least as a kibitzer. For as little as $3,500 the geographic analysis firm Caliper Corp. will let you have the software and census data you need to try out novel geometries on a PC screen. Harvard researcher Micah Altman and others have put together a program that draws compact districts. His software is free.
Democratic redistricting could work like this. After a census, a commission in each state entertains proposals from the political parties and any do-gooder group or individual willing to compete. The commission picks the most compact solution, according to some simple criterion. (Say, add up the miles of boundary lines, giving any segments that track municipal borders a 50% discount, and go for the shortest total.) The mathematical challenge might inspire some gifted amateurs to weigh in.” – William Baldwin, Forbes 2008
Crowd-Sourced Mapping for Open Government
(Parker 1990)
Two ChallengesIt’s hard.(Optimal delimitation with simple criteria is NP-hard [Altman 1997])
Neutral criteria, aren’t.
Trends in computing use for boundary delimitation?
1960-70• Research
systems, demos
1980• First
production use
1990• Common use
of GIS for congressional boundaries
• GIS = Decision Support
• Professional Only
• Bespoke systems
2000• Web –
disseminate government information
• Ubiquitous GIS on desktop
Crowd-Sourced Mapping for Open Government
Source: Altman, MacDonald, McDonald 2005
What’s next?
2010• Web/GIS “2.0”• Transparency• Public Engagement
2020 • ???• AI tools for
computer-aided boundary
• Public Government Collaboration?
• Social collaboration?• “CAD” tools?
Crowd-Sourced Mapping for Open Government
Crowd-Sourced Mapping for Open Government
Building a Platform
Public Mapping Project Goals
• Identify principles for transparency and public participation in redistricting
• Enable the public to draw maps of the communities and redistricting plans for their states– Facilitate public input to process– Inform the public debate– Provide maps for courts where litigation occurs
Crowd-Sourced Mapping for Open Government
Principles for Transparency
All redistricting plans should include sufficient information such that the public can verify, reproduce, and evaluate a plan Proposed redistricting plans should be publicly available in non-proprietary formats. Public redistricting services should provide the public with the ability to make available all published
redistricting plans and community boundaries in non-proprietary formats. Public redistricting services must provide documentation of any organizations providing significant contributions to their
operation. All demographic, electoral and geographic data necessary to create legal redistricting plans and define community
boundaries should be publicly available, under a license allowing reuse of these data for non-commercial purposes.
The criteria used to evaluate plans and districts should be documented. Software used to automatically create or improve redistricting plans should be either open-source or provide
documentation sufficient for the public to replicate the results using independent software. Software used to generate reports that analyze redistricting plans should be accompanied by documentation of data,
methods, and procedures sufficient for the reports to be verified by the public. Software necessary to replicate the creation or analysis of redistricting plans and community boundaries produced by the
service must be publicly available.
Crowd-Sourced Mapping for Open Government
Supporting a Public Mapping Workflow -- Initial Features
• Create– Create districts and plans
• Evaluate– Visualize– Summarize
• Population balance• Geographic compactness• Completeness and contiguity
– Report in depth
• Share– Import & export plans– Publish a plan
Crowd-Sourced Mapping for Open Government
Added Features in 2010-13• Shapefile import/export• PDF “printing”• Open data – link to original data• Throttling• Data administration – add new data through
administrative web interface• Community layers – add your own community,
publish, and check for splits• Scoreboards, contest submission workflows• Internationalization
– Localization in French, English, Spanish, Japanese
Builds on Best-of-Class Open Source Software
Crowd-Sourced Mapping for Open Government
(Also Award Winning)
Crowd-Sourced Mapping for Open Government
Named one of the top ten political innovations of 2011by Politico
Winner of the 2012 data innovation award, for data used for social impact, by Strata
Winner of the 2012 award for outstanding software development,by American Political Science Association
Winner of the 2013 Tides Pizzigati Prize
Crowd-Sourced Mapping for Open Government
Platform Interface Example
Sign in – Or just View
Open Data Open Access Open SourcePrepared for 2011 CGA Conference at Harvard University 21
Choose Your Legislature
Prepared for 2011 CGA Conference at Harvard University 22
Get the Picture – Visualize Successful
Prepared for 2011 CGA Conference at Harvard University 23
Drill Down – Get The Facts
Prepared for 2011 CGA Conference at Harvard University 24
Make A Plan
Prepared for 2011 CGA Conference at Harvard University 25
Get the Details
Prepared for 2011 CGA Conference at Harvard University 26
Run The Numbers
Prepared for 2011 CGA Conference at Harvard University 27
Is it legal? How Well Are You Doing? Who’s Doing Better?
Prepared for 2011 CGA Conference at Harvard University 28
Spread the Word
Share your plans with others in the system
Publish linksHave a contest
Prepared for 2011 CGA Conference at Harvard University 29
Crowd-Sourced Mapping for Open Government
Intervention Part 1 - Platform
Crowd-Sourced Mapping for Open Government
Are Public Maps Different?
Our Solution:Increase Public Participation
Interest
Information Seeking
Debate & Commentary
Propose Alternatives
Consultative Government
Get the data
Evaluate maps?
Draw the Lines?
Watch theNews
Crowd-Sourced Mapping for Open Government
How has DistrictBuilder been used?
Crowd-Sourced Mapping for Open Government
For Transparency: Dissemination Public understanding Evaluation/comparison
For Education: Staff training Classroom teaching Student competitions
For Participation: Integrated into official decision
process Non-partisan public organizations
For Election Administration:
Internal collaboration/analysis sharing
Support for commission
Where has DistrictBuilder been used?
Crowd-Sourced Mapping for Open Government
Used in 10 states
More than 1000 legal plans created by the public
Thousands of public participants
Millions of viewers
Crowd-Sourced Mapping for Open Government
Intervention - Redistricting Competitions Arizona, Michigan, Minnesota, Ohio, New York, Virginia,
City of Philadelphia Inspire participation Transform the redistricting story
Virginia Redistricting Competition• Participants
– Eligible: Any student from Virginia College/University• Incentives
– Potential media attention– Honorarium: $200– Prizes: $500-$2000
• Criteria– Legally required redistricting criteria: equal population, contiguity, voting
rights, completeness– Good government criteria: communities of interest, county & city boundaries,
competitiveness, partisan balance– Explanatory narrative
• Timeline– Nov 2010 (recruitment) -March 2011 (awards)
Crowd-Sourced Mapping for Open Government
Plan Evaluation Criteria
Crowd-Sourced Mapping for Open Government
Majority-Minority Representation
Number of districts in which minority population > 50% of the district
Population Equality percentage deviation from ideal district population
County Integrity Number of times counties & independent cities are split by districts
Compactness Normalized ratio of (perimeter of district)/(area of district)^2
Partisan Balance Number of Republican leaning districts minusNumber of Democratic-leaning districts
Competitiveness Number of districts with normal Democratic vote share in [45%-55%]
Crowd-Sourced Mapping for Open Government
Data
Domain: Virginia Redistricting Proposals- All redistricting plans submitted by members of the
public- All redistricting plans proposed by legislature- All plans proposed by redistricting commission
Exclusions:- Proposals that did not meet minimum legal criteria- Plans developed internally by legislature, but never
proposed publicly
Crowd-Sourced Mapping for Open Government
Examples: Winning Plans
Crowd-Sourced Mapping for Open Government
Resu
lts: V
A Co
ngre
ss
Crowd-Sourced Mapping for Open Government
Resu
lts: V
A Se
nate
Crowd-Sourced Mapping for Open Government
Resu
lts: V
A H
ouse
Crowd-Sourced Mapping for Open Government
Results from Virginia
• Students can create legal districting plans. • The “best” plan, as ranked by each individual criterion,
was a student plan. • Student plans
– demonstrated a wider range of possibilities than other entities. – covered a larger set of possible tradeoffs among each criterion. – were generally better on pairs of criteria.
• Student plans were more competitive and had more partisan balance than any of the adopted plans.
Preview of Florida
• Yes, Virginia, the public can draw districts
• Revealed preferences of the legislature – stick it to the Democrats
Crowd-Sourced Mapping for Open Government
Crowd-Sourced Mapping for Open Government
Observations
• There is likely a tension, particularly among state legislative districts, among greater population equality, compactness, and respect for local political boundaries.
• Political reform goals may be more reliably implemented by including them explicitly in redistricting criteria, not subsuming them in other administrative criteria.
• Effective redistricting reform will include a role for the on-line public participation in line-drawing and evaluation.
Lessons for Future Engagement
• What works– Technology is an enabler … many more plans created by public than in previous decades– Engagement of good-government groups, or other advocates is also critical to public participation– Permeability of government authorities (legislature, courts) to public input needed to have significant effect
• Technology barriers– Tools for collaborative construction – Tools for web-based visualization and analytics
• Government resistance through data availability– Not providing election results merged with census geography – Redistricting authorities may purposefully restrict the scope of the information they make available.
• For example, a number of states chose to make available boundaries and information related to the approved plan only.
– Non-machine readable formats – No API or automatable way to retrieve plans/data
• Forms of government impermeability– Authorities blatantly resist public input by providing no recognized channel for it; or– Create a nominal channel, but leaving it devoid of funding or process;or– Procedurally accept input, but substantively ignore it
Crowd-Sourced Mapping for Open Government
Crowd-Sourced Mapping for Open Government
Future R&D
Crowd-Sourced Mapping for Open Government
Future Research• Analyze results from other states
– over a dozen states had public processes• Randomized interventions• Evaluate effect on participants• Computer-aided automated redistricting• Characterizing plans
– semantic fingerprints for maps• General methods and tools for eliciting geospatially based
preferences and opinions– Combine: What’s your community?; What’s your opinion?; What’s
your location– Integrate: Data collection & management and distribution– Sustain: Reintegrate editing workflows into core open-source GIStools
Additional References
Crowd-Sourced Mapping for Open Government
• Altman, Micah. "Is automation the answer: the computational complexity of automated redistricting." Rutgers Computer and Law Technology Journal 23 (1997).Altman, Micah, Karin MacDonald, and Michael McDonald. "From Crayons to Computers The Evolution of Computer Use in Redistricting." Social Science Computer Review 23.3 (2005): 334-346.
• Parker, Frank R. Black votes count: Political empowerment in Mississippi after 1965. UNC Press, 1990.
Questions?E-mail: [email protected]:informatics.mit.edu
Crowd-Sourced Mapping for Open Government