Timing and Organization
The slides (PDF, 644 KB) will be shown in the introduction session, summarize important thematic and organizational aspects of this seminar. Please consider, in addition, the following information and material:
- Guideline to write a seminar report (PDF, 157 KB)*: This document contains just two pages of text the most important information on how to structure a written seminar report, the key points of style in writing such a document, and essentials on the correct use of references and citations. All students are required to carefully consider these guidelines when compiling the written seminar report.
- Seminar requirements and guidelines (PDF, 537 KB): This document contains all requirements to be met for a successful participation in the seminar. Note that all deadlines and requirements have to be met. Especially, you need to be physically attending the seminar at all minus one date.
- For the written seminar report, the use of the provided LaTeX template (ZIP, 330 KB) is mandatory.
Since this seminar's background runs with the debated topic of the future of the Internet, security, and economic impacts, the following three papers provide an impression of different approaches and viewpoints regarding the Future Internet and its design principles. The Stanford University paper (PDF, 111 KB) presents a so-called clean-slate approach to the Future Internet, meaning a revolutionary rather than an evolutionary approach. The FIArch (Future Internet Architecture Working Group) paper (PDF, 100 KB) collects fundamental limitations of the current Internet, while the ITU-T Recommendation Y.3001 (PDF, 241 KB) outlines a collection of high-level objectives and design goals for future networks. Understand that these papers are highly selective out of many more.
Topics
First Talk to be present for is on October 29, 2026!
| Talk | Title | Student | Supervisor | Date |
|---|---|---|---|---|
| 03 | Reinforcement Learning in Financial Decision-Making | Ahmad Abtahi | October 22, 2026 | |
| 04 | Multi-Agent Reinforcement Learning for Decentralized Resource Allocation in Digital Market | Yiting Shang | Francisco Enguix | October 29, 2026 |
| 05 | Free-Riding and Incentives in Federated Learning | Polina Karanxha/Luiz Martin Hablützel | Michael Meyer | November 5, 2026 |
| 06 | From Explanation to Adoption: The Economic Value of Trust in AI Systems | Fabian Meyer/Christoph Vogel | Nasim Nezhadsistani | November 12, 2026 |
| 07 | Tokenomics: Quantifying How Tokens Are Consumed in Agentic AI and Assessing Their Economic Yield | Tim Vorburger/Jonas Bisang | Weijie Niu | November 19, 2026 |
| 08 | Prompt Privilege: How Token Costs Price Equality Out of the Classroom | Roman Zberg | Andy Aidoo | November 26, 2026 |
| 09 | Who Pays for MEV Protection? The Economics of Hiding Transactions | Hadia Aslam/Chaeyoon Lee | Martin Peresini | December 3, 2026 |
| 10 | On the Economics of Replacing the Internet Architecture | Guanqiao Li | Thomas Grübl | December 12, 2026 |
| 11 | The Cost of Post-Quantum Security in Future Networks | Janik Altmann/Yannic Lüthi | Gökcan Cantali | December 17, 2026 |
* These files can only be downloaded from within the university's network. Please use a VPN client when accessing from outside.
* The description of each topic (PDF, 403 KB) and topic information (PDF, 553 KB) are available here.