Blockchain Papers

Yan Kovalenko

No abstract is available for this record.

Katika Mohaseen, K Jagadeesh, Mohit Kumar, Nandini Yadava · 5 authors

Decentralized finance (DeFi) has emerged as a transformative paradigm that redefines how individuals access, manage, and govern their financial assets, much like the internet revolutionized information exchange. However, current DeFi protocols face critical challenges, including limited modularity,

Tricia Liezl Pinili

No abstract is available for this record.

Yan Kovalenko

No abstract is available for this record.

Davide Ghezzi, Giacomo Vella, Luca Gastaldi, Francesco Paolo Appio

No abstract is available for this record.

Андрей Ларин

Данная работа посвящена решению проблемы фрагментации и быстрого устаревания информации в экосистеме Web3. Задачи, которые решались в ходе исследования: 1. Выбор источников данных, инструментария. 2. Реализация получения и обработки большого количества данных. 3. Реализация ассистента на базе искусственного интеллекта для ответов на вопросы пользователей. 4. Сопровождение, тестирование и анализ качества приложения. В рамках исследования был осуществлён выбор проверенных источников информации, таких как: официальные руководства, научные труды, онлайнфорумы, блоги и хранилища кода, произведён анализ различных инструментов, предназначенных для автоматизированного получения и обработки данных, включая методы веб-скрейпинга и парсинга и обозначен технологический стек, включающий выбор языков программирования и платформ для развёртывания. Было разработано решение для сбора базы знаний, на основе которого системы был создан ИИ-ассистент, способный отвечать на вопросы, касающиеся Web3. Система реализована в соответствии с принципами DevOps. Данная разработка способствует расширению доступа к знаниям о Web3, автоматизируя процесс сбора информации и предоставляя эффективный инструмент. Для достижения данных результатов в работе были использованы/разработаны следующие информационные технологии, в том числе программное обеспечение, облачные сервисы, базы данных и прочие: AWS, Serverless, TypeScript, VS Code, DynamoDB, ECS, Lambda, OpenAI, CloudWatch, GitHub, SNS.

Yan Kovalenko

No abstract is available for this record.

David Krause

No abstract is available for this record.

Jianzheng Shi

No abstract is available for this record.

Igor Calzada

This chapter critically investigates the concept of data-opolies —a term coined by Maurice Stucke to describe the monopolistic control over data by dominant tech corporations such as Google, Apple, Facebook, Amazon, and Microsoft (GAFAM). It explores how this concentration of data power threatens democratic resilience, distorts competition, and exacerbates socio-political inequalities. Drawing from Echeverría’s Telepolis , Cancela’s Utopías Digitales , and Lehdonvirta’s Cloud Empires , the chapter unpacks the network effects that entrench data-opolies and their capacity to manipulate user behavior, public opinion, and market dynamics. The chapter contends that these monopolistic structures erode democratic accountability and civic trust by fostering opaque algorithmic governance and undermining citizen agency. In response, it proposes emancipatory datafication strategies , including data cooperatives, algorithmic transparency, and participatory infrastructures, aimed at reclaiming democratic control over digital systems. Special attention is given to the sociopolitical implications of digital nomadism and e-diasporas as new global patterns of democratic interaction. Finally, the chapter offers a visionary assessment of Web3 technologies—blockchain, DAOs, and data cooperatives—as a potential counterweight to data-opolies. By advancing transparency and user agency, Web3 is presented as a foundation for inclusive, decentralized, and empowered digital democracies fit for the algorithmic age.

Igor Calzada

No abstract is available for this record.

charan Goud, G. Anjan Babu, K. S. Reddy, Geeta Yadav · 5 authors

No abstract is available for this record.

Bo Yang, Wenhui Tu, Sixuan Li, Fangzhou Lu

We examine how Web3-specific education and AI-generated investment guidance affect retail investor performance in crypto markets. In a twelve-month randomized controlled trial with 3,948 participants trading real tokens on a simulated CEX, investors were assigned to a control group, Web3 education, AI recommendations, or both. Measured by raw return, alpha, and portfolio diversification, both interventions improved performance, with the combined treatment producing the largest gains. Education effects accumulated over time, AI effects were immediate, and benefits were greatest for less experienced investors and on high-complexity news days. A portion of gains persisted after support was withdrawn, especially for education-based treatments, suggesting lasting benefits from knowledge acquisition alongside real-time decision support.

Shengxian Yu

No abstract is available for this record.

Igor Calzada

Chapter 4, “The (Dis)Illusion of the Web3 Decentralization,” interrogates the technopolitical and socioeconomic promises of decentralization amid the rise of Web3 and Generative AI (GenAI). Drawing from iterative action research, including fieldwork in Silicon Valley and Washington, D.C., the chapter questions whether decentralization genuinely redistributes power or merely consolidates it within a tech-savvy elite. Framed within a post-Westphalian context, it identifies three emerging paradigms—Network States, Network Sovereignties, and Algorithmic Nations—as divergent responses to this governance transformation. Engaging with the intellectual legacy of Karl Polanyi’s critique of market fundamentalism and Richard R. Nelson’s call to bridge the “moon and the ghetto,” the chapter exposes how digital infrastructures may privilege computational capital while marginalizing civic participation. Web3, often mythologized as democratizing, risks replicating algorithmic hierarchies under the guise of innovation. GenAI amplifies these risks by introducing opaque decision-making architectures governed by proprietary models and technical gatekeeping. Ultimately, this chapter urges hybrid, inclusive policy frameworks attentive to both global asymmetries and local contexts. It advances the volume’s core agenda: to critically “unplug” prevailing digital governance narratives, reinvigorate normative commitments to justice, and propose a more democratic and equitable digital transition in the era of datafied democracies and AI-driven economies.

Harry Chow

The creator economy is valued at over $250 billion and is largely supported by ad revenue, sponsorships, and platform monetization-controlled subscription. Creators face a variety of issues such as earnings cut, face demonetization, and platform policy, which threatens sustainability as a creator. This report introduces TOKN, a hybrid Web2-Web3 monetization strategy that enables creators to tokenize their work and get paid directly for their content on platforms like YouTube, TikTok, and Instagram. By using smart contracts, micropayments, and access tokenization through APIs and browser extensions, TOKN provides creators with greater financial empowerment while maintaining the discoverability and ease of use of Web2 platforms. Through a review of monetization inefficiencies, blockchain integration, and regulatory implications, this research highlights how a hybrid solution can bridge the gap between the usability of Web2 and the financial incentives of Web3-creating a scalable, secure, and platform-agnostic monetization model for digital creators.

Ecem Basak, Cheng Chen, Ramah Al Balawi, Keran Zhao

No abstract is available for this record.

А. Е. Чайка

No abstract is available for this record.

Sai Santhosh R, Ashutosh Kumar Singh

The fusion of composable finance and generative AI signals a transformative leap in decentralized asset management. Composable finance, grounded in modular and interoperable Decentralized Finance (DeFi) protocols, allows developers and users to assemble, customize and automate financial services using plug-and-play smart contract components. Generative AI, leveraging advanced architectures like transformers and diffusion models, introduces new possibilities for dynamic portfolio generation, synthetic asset creation and predictive market analysis. This paper presents an integrated view of how generative AI can enhance composability by intelligently automating decision pathways, risk profiling and liquidity routing across blockchain ecosystems. Drawing insights from Finance 4.0 innovations, AI- powered automation in financial infrastructure and the design of secure, data-driven DeFi environments, we explore use cases that redefine user interaction and asset control in decentralized settings. The research proposes a reference architecture where generative agents act as co-creators of financial strategies, supporting autonomous rebalancing and compliance monitoring in real time. We also analyze how Decentralized Autonomous Organizations (DAOs) can integrate AI agents for governance optimization and crowd-sourced financial intelligence. Challenges such as model transparency, tokenomics, adversarial manipulation and explainability are examined in depth. The paper outlines a future-forward blueprint for scalable, AI-augmented composable finance platforms that reduce technical complexity, increase inclusivity and align with the core tenets of decentralization, user sovereignty and verifiable execution in the Web3 era.

Yan Kovalenko

No abstract is available for this record.

Christine A. Parlour

No abstract is available for this record.

Joseph Lee, J. M. Lee

No abstract is available for this record.

Mohamed ElBendary

The promise of Web3's decentralized, transparent, and user-owned systems offers transformative potential for global commerce. However, Web3 remains largely inaccessible or intentionally avoided due to user experience friction and persistent risk perceptions. Highly publicized failures over the years point to a fundamental weakness in achieving durable trust required for widespread adoption. This paper introduces a normative theory centered on five interdependent principles, spanning enforcement, trust, duty segregation, governance, and adaptability. Together, they define falsifiable conditions for integrity-by-design Web3 commercial infrastructure. These principles are collectively necessary, though not sufficient, to uphold investor protection, maintain efficient and orderly markets, and ensure transparent capital formation. This framework supports regulators, builders, investors, and institutions with a methodical approach for distinguishing legitimate infrastructure innovations from sophisticated regulatory arbitrage. As major infrastructure decisions accumulate daily, path dependencies continue to entrench brittle architectures. This work aims to chart a socio-technical path to achieving sustainable commercial integrity, thereby broadening access to trustworthy, extensible systems for long-term growth in Web3 commerce.

Ekaterina Semerikova, Egor Krivosheya, Kirill Yanishin, Dmitry Kirillov · 5 authors

The first conversations about the potential of blockchain technology began with the rise of cryptocurrencies. The first attempts at applying blockchain were focused on storing and transferring value, with cryptocurrencies being used exclusively as a means of payment. Recently the use of blockchain entered a new stage of development – the generation of Web3. The logic behind distributed ledger technologies opened up opportunities for various sectors, from financial services and DeFi to new formats of digital value – tokenization of physical assets and decentralized autonomous organizations. Web3 is a term that describes new models for building digital businesses, applications, and economic relationships between different participants based on distributed ledger technology. Where do the boundaries of Web3 lie? What role does Web3 play in the world, and what place does Russia has in it? Sber's Blockchain Laboratory, in collaboration with the SKOLKOVO School of Management, prepared an analytical report. This research aims to shed light on the basic aspects and risks of the Web3 market and predict changes that will impact existing traditional market business models.