FROMSCIENCE PROJECTS
This page presents a selection of projects developed by the FromScience group, including completed initiatives and ongoing developments. The projects showcased here reflect our commitment to transforming scientific ideas into practical solutions, fostering innovation through interdisciplinary collaboration, and bridging the gap between research, education, and real-world applications. Some projects have already reached implementation and dissemination stages, while others are currently under active development and represent future directions of our research and technological efforts. We invite you to explore our portfolio, learn about our methodologies and achievements, and follow the evolution of the initiatives that continue to shape the future of science and technology within the FromScience community.
This page presents a selection of projects developed by the FromScience group, including completed initiatives and ongoing developments. The projects showcased here reflect our commitment to transforming scientific ideas into practical solutions, fostering innovation through interdisciplinary collaboration, and bridging the gap between research, education, and real-world applications. Some projects have already reached implementation and dissemination stages, while others are currently under active development and represent future directions of our research and technological efforts. We invite you to explore our portfolio, learn about our methodologies and achievements, and follow the evolution of the initiatives that continue to shape the future of science and technology within the FromScience community.
Rooted in interdisciplinary collaboration and driven by scientific curiosity, we are committed to advancing research that bridges theory and application. Through our diverse expertise and impactful publications, we aim to contribute to the global dialogue on emerging technologies and complex systems. We invite academic, industry, and institutional partners to join us in shaping the future of science, education, and innovation.
Quantum Computing Intelligence and Applications
Status — under development
This project explores the intersection of quantum computing and artificial intelligence. Our research focuses on developing quantum-enhanced algorithms for optimization, reasoning, machine learning, and intelligent decision-making. We strive to leverage current quantum technologies and future quantum cognitive architectures to uncover how quantum principles can accelerate computation, enhance inference, and enable the next generation of intelligent systems and scientific applications.
Simulating the Quality of Community Decisions
Status — Completed
This project developed an agent-based simulation framework to investigate how different voting mechanisms influence decision quality, consensus formation, and governance outcomes in decentralized communities. Using methods from complex systems science, network science, and Monte Carlo simulations, the platform models the interactions of community members with diverse opinions, preferences, and voting behaviors. The research compared traditional voting approaches with quadratic and plural voting systems, evaluating their ability to promote truthful preference expression, reduce factional dominance, mitigate collusion, and improve the allocation of community resources. The resulting framework provides a scientific foundation for testing governance innovations, reputation systems, and decentralized funding mechanisms before their implementation in real-world blockchain and AI ecosystems. The project was developed in collaboration with Photrek.
Distributed Decision Making: Diversify Voting Influence (feat. Photrek)
Status — Completed
We investigated how decentralized communities can design voting systems that balance the influence of small and large stakeholders. Developed in the context of blockchain governance, the work focused on voting saturation, aggregation mechanisms to promote broad participation while reducing the risk of power concentration. Using tools from complex systems, opinion dynamics, and agent-based modeling, the project proposed strategies to evaluate how different voting influence functions affect community decision-making. The goal was to support more diverse, fair, and resilient governance processes in decentralized ecosystems such as Cardano. The project was developed in collaboration with Photrek.
3D Printing and Applications in the Electro-Electronic Industry
Status — Completed
In this project, we promoted training and applied development in 3D printing and additive manufacturing, with a focus on applications in the electronics industry. The project combined technical education, product prototyping, and university-industry collaboration. In partnership with FRT Tecnologia Eletrônica Ltda., the initiative trained students in 3D design, materials selection, prototyping, and industrial-scale production strategies. The project also challenged participants to develop a functional LED information panel for football matches, integrating 3D-printed mechanical components with electronic systems. By connecting academic training with a real industrial demand, the project strengthened innovation, technological extension, and workforce development in Pernambuco.
Cryptocurrency Market Forecasting and Trading Strategies
Status — Completed
This project explored advanced mathematical and computational methods for forecasting Bitcoin price dynamics and developing quantitative trading strategies for cryptocurrency markets. Combining time-series analysis, Dynamic Mode Decomposition (DMD), statistical modeling, and algorithmic trading techniques, the research focused on identifying short-term market patterns and profitable decision-making opportunities. The project investigated price distributions, autocorrelation structures, moving-average crossover methods, and data-driven forecasting models to support the design of automated trading systems. The work provided scientific guidance for the development and calibration of high-frequency and medium-term trading strategies, establishing a foundation for future applications in cryptocurrencies, financial markets, and quantitative investment systems.
Majority-vote Dynamics for IOTA Transaction Consensus
Status — Completed
We investigated the dynamics of decentralized consensus formation in the IOTA cryptocurrency network. Using agent-based modeling, opinion dynamics, and Monte Carlo simulations, the research analyzed how cooperative and adversarial nodes influence the convergence, stability, and security of transaction validation in peer-to-peer networks. The study focused on random k-nearest-neighbor interaction topologies and examined the effects of network connectivity, voting weights, initial conditions, and malicious actors on consensus formation. The resulting analysis provided scientific guidance for the design of robust decentralized voting protocols, contributing to the development of secure and scalable consensus mechanisms for distributed ledger technologies. The project was developed in collaboration with Photrek.
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From Science Research Group
fromscience.io