Flowback

Flowback is an open-source decision system that aims to transform collective decision making through the innovation Predictive Liquid Democracy (PLD). Our platform combines fast and flexible decentralised decision making through liquid democracy with prediction markets that crowdsource the wisdom of the masses and artificial agents.

By using PLD, Flowback aims to create decision-making processes that are resistant to misinformation, aligned with collective goals, and informed by ideas and quality predictions from not only human agents but also virtual artificial agents. The goal is to turn organisations into Bayesian updaters that make the optimal decision with regards to the available information and with regards to the organisation’s goals as expressed by the members in a democratic voting process.

Flowback serves a diverse audience, including non-profits, decentralized networks, political parties, educational institutions, corporations, and government entities, all looking to enhance their governance structures and tap into collective intelligence. The system aims to be scalable and adaptable to various sectors, making it a versatile tool for entities of all sizes.

Motivation for the project: Flowback's development aligns with TrustChain objectives, aiming to foster a democratic, trustworthy, and sustainable digital society. Flowback's capabilities, particularly in addressing the challenges of civic mobilization and decentralized decision-making are essential for the goals of the TrustChain project.
Generic use case description: Flowback can be used to make efficient and improved democratic decisions. The process consists of delegation, crowdsourcing solutions from the members, evaluating consequences, voting, implementing and learning from the actual outcomes.
Essential functionalities:
1. Liquid Democracy: functions to vote and delegate within different subject areas.
2. Prediction Markets to predict the outcome of proposals.
3. Kanban Board to see who is responsible for implementing what and where a task is in the implementation process.
4. Schedules to get an overview of existing polls, deadlines and scheduled meetings.
How these functionalities can be integrated within the software ecosystem: These functionalities will in the long term be possible to integrate within the TrustChain software ecosystem by leveraging APIs and SDKs to connect with existing TrustChain platforms, enabling seamless data exchange and interoperability for a comprehensive democratic governance solution.
Gap being addressed: Flowback addresses the gap in democratic decision-making by combining prediction markets with liquid democracy, creating a more informed and transparent governance process.
Expected benefits achieved with the novel technology building blocks: The novel technology building blocks of Flowback enable more accurate decision-making, reduced misinformation influence, and enhanced democratic participation within organizations.
Potential demonstration scenario: A potential demonstration scenario for Flowback is its deployment in political organizations that use it to govern themselves internally. They can for instance propose campaigns to get more members, predict the outcomes, and evaluate the rate of success, learn collectively and increase their campaign making skills over time.

Team

Samuel Färdow Kazen

Project Manager

Organisational Developer with background in Cognitive Science and Philosophy. Samuel has delivered numerous lectures and workshops on the intersection of economy, cognitive science and democratic decision-making.

Loke Hagberg

Technical and research Lead

Mathematical Economist and IT Architect. Loke is the visionary behind the Predictive Liquid Democracy algorithm and has extensive experience in software development and economic modelling. Loke Hagberg has published books and papers on the application.

Yuliya Hagberg

Frontend developer and UI/UX-designer

She is from Ukraine and works in UX and design. Her main goal is inclusive, user-centered and beautiful design. She speaks five natural languages and writes in over five programming languages.

Jonas Hallgren

AI-safety expert and developer

AI Safety Specialist and developer. Jonas has helped in redeveloping Predictive Liquid Democracy to fit an AI implementation.

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Flowback

Team

Entity

The Association for Digital Democracy