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Algorithmic Democracy:
The Time Is Now
Chris Krenn, www.democracygps.org
11/09/16
Copyright © 2016 by Christopher Krenn
democracygps (at) gmail (dot) com
Chris Krenn <www.democracygps.org> 10/28/16
2
Voters are frustrated, but have not
yet given up
 >70% polled say “they disapprove of how Congress
is handling its job” and 65% described it as the
"worst Congress of their lifetime"
[pollingreport.com, 2016;
CNN, 2014]
 Voting rates have not
changed significantly over
the last 60+ years
[fairvote.com, 2016;
electproject.org, 2014]
 Slight increase in 2016 over
2008 is possible [Brookings, 2016]
Chris Krenn <www.democracygps.org> 10/28/16
3
• Everyone age 10 and up regularly completes a survey
of their political views, legislative goals, and positions
on current issues
• Everyone chooses decision-making delegates for
national, state, and local issues
• Algorithms dynamically monitor agreement between
users and their delegates
• Algorithms predict voter support for current legislation
• Algorithms produce outlines of new legislation with
support of broad majorities
Imagine a world where…
Can algorithmic democracy relieve the frustration?
Chris Krenn <www.democracygps.org> 10/28/16
4
Algorithmic democracy is the future
Representative
Democracy
Direct
democracy
Chris Krenn <www.democracygps.org> 10/28/16
5
 Data from a Chinese deliberative budget poll (Fishkin, 2010)
 167 voters, 3337 votes,
30 projects, 30% funding
available, & many
millions of funding
options
 With unequal project
costs, optimization
usually increases
satisfaction(~30%)
over simpler methods
Proof of Principle: Computer optimized
budget allocation can satisfy more voters
Chris Krenn <www.democracygps.org> 10/28/16
6
 Possible issues for discussion and consensus:
• Government transparency, electronic voting, drug
policy, or others
 Development steps:
• Step 1: 12 beta users in 3 groups
• Step 2: 100 students on 10 university campuses
• Step 3: city or state initiative
Extend prototype code and
test with real political issues
Algorithm and interface development
Following computer security best
practices will be vital to our success
Chris Krenn <www.democracygps.org> 10/28/16
7
 Traditional direct democracy demands too much time
and attention from the voter and doesn’t scale
 Algorithmic democracy features could be added to
current social politics web platforms like Brigade,
Countable, or Whatsgoodly.
• “LiquidFeedback”, Adhocracy, DemocracyOS, Flux, and
Deliberative Democracy methods may benefit from more users
and should be part of our solution
 Algorithmic democracy implementations complement
Nation Builder and move beyond
“We the people”
 We may be duplicating unknown systems
What’s new here?
We are proposing a fresh and agile approach
to make useful and user-friendly tools
Chris Krenn <www.democracygps.org> 10/28/16
8
 It will be a tool to document differences between the
voters’ will and government actions
 It will enable better laws to be proposed and passed
 It will pressure members of government to support
the interests of all of their constituents
 Specific benefits could include minimum wage
changes; immigration, criminal justice & education
reform; and better community/police relations.
 Hosting platforms would benefit from a larger user
bases and associated revenue opportunities
Algorithmic democracy will benefit the
user, government, society, and investors
So what?
Chris Krenn <www.democracygps.org> 10/28/16
9
 Algorithmic democracy will enable compromise,
influence elections, and should lead to better
laws and less waste
Government is too big and important
to be left to the politicians [C. Bowles]


I am an engineer, and I want to help
Chris Krenn <www.democracygps.org> 10/28/16
10
 What do you think of the idea?
• Would you consider using a future “Algorithmic Democracy”
system?
• Why or why not?
 Have you heard of or used Brigade or Countable?
 What questions should I be asking?
 What should I read?
 Who should I talk to next?
Questions
Chris Krenn <www.democracygps.org> 10/28/16
11
References
Adhocracy: https://adhocracy.de
Bowles:
http://www.quotationspage.com/quote/125
3.html
Brigade: https://www.brigade.com/
Brookings:
https://www.brookings.edu/blog/fixgov/201
6/07/08/why-clinton-and-trump-may-
increase-voter-turnout-in-2016/
CNN:
http://www.cnn.com/2014/09/09/politics/cn
n-poll-congress/
Countable: https://www.countable.us/
DeliberativeDemocracy:
http://cdd.stanford.edu/
ElectProject:
http://www.electproject.org/2014g
FairVote: http://www.fairvote.org/research-
and-analysis/voter-turnout/
Flux: https://github.com/voteflux/
LiquidFeedback: http://liquidfeedback.org/
NationBuilder: http://nationbuilder.com
PollingReport:
http://www.pollingreport.com/CongJob.htm
WeThePeople:
https://petitions.whitehouse.gov/
WhatsGoodly: https://whatsgoodly.com/
Chris Krenn <www.democracygps.org> 10/28/16
12
 Needs to be constrained by budget and by law
 Needs to be robust to activists from the far left
and right, protect minorities, manage privacy
concerns, and maintain “one citizen one vote”
• Apply demographic weighting
• Learn from professional pollsters, Alaska, and Estonia
 Needs broad participation
Appendix: an algorithmic democracy
system will face many challenges
PROPRIETARY INFORMATION
PROPRIETARY INFORMATION

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Krenn algorithmic democracy_y_oct_2016

  • 1. Algorithmic Democracy: The Time Is Now Chris Krenn, www.democracygps.org 11/09/16 Copyright © 2016 by Christopher Krenn democracygps (at) gmail (dot) com
  • 2. Chris Krenn <www.democracygps.org> 10/28/16 2 Voters are frustrated, but have not yet given up  >70% polled say “they disapprove of how Congress is handling its job” and 65% described it as the "worst Congress of their lifetime" [pollingreport.com, 2016; CNN, 2014]  Voting rates have not changed significantly over the last 60+ years [fairvote.com, 2016; electproject.org, 2014]  Slight increase in 2016 over 2008 is possible [Brookings, 2016]
  • 3. Chris Krenn <www.democracygps.org> 10/28/16 3 • Everyone age 10 and up regularly completes a survey of their political views, legislative goals, and positions on current issues • Everyone chooses decision-making delegates for national, state, and local issues • Algorithms dynamically monitor agreement between users and their delegates • Algorithms predict voter support for current legislation • Algorithms produce outlines of new legislation with support of broad majorities Imagine a world where… Can algorithmic democracy relieve the frustration?
  • 4. Chris Krenn <www.democracygps.org> 10/28/16 4 Algorithmic democracy is the future Representative Democracy Direct democracy
  • 5. Chris Krenn <www.democracygps.org> 10/28/16 5  Data from a Chinese deliberative budget poll (Fishkin, 2010)  167 voters, 3337 votes, 30 projects, 30% funding available, & many millions of funding options  With unequal project costs, optimization usually increases satisfaction(~30%) over simpler methods Proof of Principle: Computer optimized budget allocation can satisfy more voters
  • 6. Chris Krenn <www.democracygps.org> 10/28/16 6  Possible issues for discussion and consensus: • Government transparency, electronic voting, drug policy, or others  Development steps: • Step 1: 12 beta users in 3 groups • Step 2: 100 students on 10 university campuses • Step 3: city or state initiative Extend prototype code and test with real political issues Algorithm and interface development Following computer security best practices will be vital to our success
  • 7. Chris Krenn <www.democracygps.org> 10/28/16 7  Traditional direct democracy demands too much time and attention from the voter and doesn’t scale  Algorithmic democracy features could be added to current social politics web platforms like Brigade, Countable, or Whatsgoodly. • “LiquidFeedback”, Adhocracy, DemocracyOS, Flux, and Deliberative Democracy methods may benefit from more users and should be part of our solution  Algorithmic democracy implementations complement Nation Builder and move beyond “We the people”  We may be duplicating unknown systems What’s new here? We are proposing a fresh and agile approach to make useful and user-friendly tools
  • 8. Chris Krenn <www.democracygps.org> 10/28/16 8  It will be a tool to document differences between the voters’ will and government actions  It will enable better laws to be proposed and passed  It will pressure members of government to support the interests of all of their constituents  Specific benefits could include minimum wage changes; immigration, criminal justice & education reform; and better community/police relations.  Hosting platforms would benefit from a larger user bases and associated revenue opportunities Algorithmic democracy will benefit the user, government, society, and investors So what?
  • 9. Chris Krenn <www.democracygps.org> 10/28/16 9  Algorithmic democracy will enable compromise, influence elections, and should lead to better laws and less waste Government is too big and important to be left to the politicians [C. Bowles]   I am an engineer, and I want to help
  • 10. Chris Krenn <www.democracygps.org> 10/28/16 10  What do you think of the idea? • Would you consider using a future “Algorithmic Democracy” system? • Why or why not?  Have you heard of or used Brigade or Countable?  What questions should I be asking?  What should I read?  Who should I talk to next? Questions
  • 11. Chris Krenn <www.democracygps.org> 10/28/16 11 References Adhocracy: https://adhocracy.de Bowles: http://www.quotationspage.com/quote/125 3.html Brigade: https://www.brigade.com/ Brookings: https://www.brookings.edu/blog/fixgov/201 6/07/08/why-clinton-and-trump-may- increase-voter-turnout-in-2016/ CNN: http://www.cnn.com/2014/09/09/politics/cn n-poll-congress/ Countable: https://www.countable.us/ DeliberativeDemocracy: http://cdd.stanford.edu/ ElectProject: http://www.electproject.org/2014g FairVote: http://www.fairvote.org/research- and-analysis/voter-turnout/ Flux: https://github.com/voteflux/ LiquidFeedback: http://liquidfeedback.org/ NationBuilder: http://nationbuilder.com PollingReport: http://www.pollingreport.com/CongJob.htm WeThePeople: https://petitions.whitehouse.gov/ WhatsGoodly: https://whatsgoodly.com/
  • 12. Chris Krenn <www.democracygps.org> 10/28/16 12  Needs to be constrained by budget and by law  Needs to be robust to activists from the far left and right, protect minorities, manage privacy concerns, and maintain “one citizen one vote” • Apply demographic weighting • Learn from professional pollsters, Alaska, and Estonia  Needs broad participation Appendix: an algorithmic democracy system will face many challenges PROPRIETARY INFORMATION PROPRIETARY INFORMATION

Editor's Notes

  1. Thank you for being willing to meet with me today. I’d like to talk to you about a vision of a future for democracy that I believe will overcome frustrations with the overwhelming influence of money in politics and with how little our individual actions seem to affect government policies. My vision is a electronic hybrid between direct and representative democracy. You will be able to vote on what you want, as often as you want, but you can also delegate your voting on an issue by issue or vote by vote basis as well as change your choice of delegates as often as desired. I have 10 slides, including this one, describing this vision and an implementation plan in more detail, and I’d like to walk through them and to ask your feedback. Please also feel free to ask questions along the way. Note to reader: I apologize for the redundant text in slides and notes, but on some slides, I believe that the script does add some value.
  2. Currently, US voters are frustrated, but they have not given up. Consistently, more than 70% of those polled say that they disapprove of how Congress is handling its job, and, in 2014, 65% described it as the worst Congress of their lifetime. Yet voting rates have not changed significantly over the last 60 plus years. Since 1948, presidential turnout has been, on average a little less than 60% and mid-term turnout a bit more than 40%. Current predictions suggest that turnout for 2016 could be slightly larger than 2008. Notes: 57.95714286 41.31363636 (averages)
  3. Can algorithmic democracy relieve the frustration? I believe that it can be a very important part of the solution. Imagine, if you will, a world where every citizen age 10 and up regularly completes a survey of their political views, legislative goals and positions on current issues. Every citizen chooses decision-making delegates for national, state and local issues; algorithms dynamically monitor agreement between users and their delegates; algorithms predict voter support for current legislation, and algorithms produce outlines of new legislation with support of broad majorities.
  4. I believe that algorithmic democracy is the future. This is not representative democracy, which is currently failing with populations of 300 million people. It is also not direct democracy. Even the smallest conceivable national government is much too complicated to put everything to a direct vote. An algorithmic democracy interface could look something like this: a summary of a user’s political views, legislative goals, a list of representative delegates for various issues, opinions on current issues of concern, and a list of predicted positions.
  5. As proof of principle, I developed a simple program that uses user preferences, combined with random voter response to optimize budget allocations for the San Francisco Recreation and Parks Budget. In some cases, funding the most popular projects makes sense, but because of variable project cost and a fixed budget, sometimes other funding solutions will, by many metrics, satisfy more voters than other options. Notes: This particular implementation is a version of the well known “backpack” problem and can be solved quickly with linear programming methods. Other formulations of the problem are easy to solve using parallel computing methods.
  6. So, how do we move closer to this vision? Before we fly, we need to crawl, walk and run. I believe that significant progress requires only some time and some collaborators for algorithm and interface development and to extend existing prototype code and to test with real political issues. My strategy is to start small with 12 beta users in 3 groups working towards group consensus on topics such as government transparency, electronic voting, drug policy, or others. Next, I would work with 100 plus students on 10 university campuses. Finally, I would transition to a city or state initiative.
  7. So, what’s new here? What we are proposing is a fresh an agile approach to make useful and user-friendly tools. Traditional direct democracy demands too much time and attention from the voter and doesn’t scale. Algorithmic democracy features could be added to current web platforms like Brigade, Countable, or Whatsgoodly, and I believe that Liquid Feedback and Deliberative Democracy methods may benefit from more users and should be part of any algorithmic democracy implementation. Algorithmic democracy implementations complement Nation Builder and move beyond “We the people”. However, we may be duplicating unknown systems. Notes: Nation Builder allows affiliated special interest groups to work together. We The People is a White House run petitioning system.
  8. Last, but not least… So what? Why should I care? This proposal will benefit the user, government, society, and any investors in the project. It will be a tool to document differences between the voter’s will and government actions. It will enable better laws to be proposed and passed. It will pressure members of government to support the interests of all of their constituents. Specific benefits could include minimum wage changes, immigration and education reform and better community/police relations. And, last, but not least, any hosting platform would benefit from a larger user base and associated revenue opportunities.
  9. To wrap up, in agreement with the economist Chester Bowles, I believe that government is too big and important to be left to the politicians. Algorithmic democracy will enable compromise, influence elections, and should lead to better laws and less waste And, I am an engineer, and I want to help.
  10. I don’t think that this process will be easy, and an algorithmic democracy system will face many challenges. The system needs to be constrained by budget and by law. The system needs to be robust to activists from the far left and right sides of the political aisle, to protect minorities, to manage privacy concerns, and to maintain the principle of “one citizen one vote”. This will be tricky, and will be an evolving process. In the short-term, we can apply statistical weighting using correlations with public opinion polling; we should certainly learn as much as possible from professional pollsters; and in the longer-term, U.S. might even see the value of a online voting systems like they have in Alaska and Estonia. And, it needs broad participation. One possible marketing tagline: “Does Barbara Lee always speak for you? If not, then speak for yourself today!” Notes: Try to recruit early participation from across the political spectrum. Other issues: management of the project, mobile and web design, revenue, privacy, partners, marketing, algorithm development.