Workshops & conferences.

The conference covers how networks form, what flows through them, and how they shape markets, institutions, and behavior, bringing together economists, computer scientists, and applied mathematicians for plenary talks, contributed sessions, and posters.

Covers sandboxing, privacy, trust establishment without central control, and rigorous evaluation needed to make internet-scale networks of autonomous, delegating AI agents trustworthy in practice.

The symposium covers engineering, measurement, and governance of trustworthy, accountable agentic AI systems across their full lifecycle, including auditing, standards alignment, and human oversight.

Workshop soliciting submissions on reinforcement learning for LLM-based agents in finance and economics, covering LLM agents for sequential decision-making, multi-agent LLM systems with cooperation, competition and emergent behavior, agentic RAG and tool use, and evaluation benchmarks and datasets.

The workshop covers AI agents for trading, liquidity provision and market making, DeFi market microstructure (AMMs, order books, MEV, tokenized assets), and risk, market design and regulation of AI in finance, using invited talks, contributed presentations, panels and interactive sessions.

The conference covers graph theory, network algorithms, graph neural networks, network robustness, diffusion and resilience, and graph foundation models, as the 15th edition of the CSoNet series.

Research submissions treat internet-scale networks of communicating, adapting AI agents—rather than single models—as the unit of analysis, spanning representation/discovery, learning dynamics over agent graphs, and coordination, governance and safety at population scale.

An academic–central bank conference on financial stability and macroprudential policy, with 2026 focus areas including regulatory complexity, banking sector competitiveness, and the role of AI in banking and finance.

Two-day in-person meeting inviting empirical, theoretical and experimental papers on market design, liquidity, price efficiency and integrity, algorithmic and high-frequency trading, market fragmentation, market surveillance and regulatory challenges, and DeFi infrastructure such as blockchain, smart contracts, oracles and tokenization.

The workshop covers verification of agent systems, including faithful simulators as verification infrastructure, environment-grounded evaluation, and observability, monitoring, and runtime verification of agents in production.

How intelligent agents can reason, act, and adapt safely and securely when operating autonomously in open-ended real-world environments, covering safety, security, multi-agent coordination, and governance.

The workshop examines the design, training, evaluation, deployment, and oversight lifecycle of meta-agents that coordinate or manage swarms of subordinate AI agents and, in some cases, humans.

Defines the abstractions, memory hierarchies, scheduling policies, and governance mechanisms needed for a shared operating-system layer supporting large-scale agentic AI deployments.

A workshop bridging micro-scale mechanism design and market-level economic analysis to map the economic consequences of machine learning's growing capabilities and propose interventions for long-term sustainability.

Covers trust, safety, security, privacy, and reliability of agentic systems in organizations, including evaluation frameworks, benchmarks, datasets, simulations, organizational testbeds, and metrics for agent autonomy.