We call for papers on this topic. We are interested in submissions that move beyond doctrinal description to offer critical analysis of the foundational challenges. The following sub-topics can be chosen (but not limited to):
1. Foundational Theory & Governance
Foundational Theories: The adaptability of traditional legal principles (e.g., liability, property, personhood) in the age of AI and big data.Constitutional & Administrative Law: The balance between digital surveillance, algorithmic governance, and fundamental rights (e.g., privacy, due process, non-discrimination).Emerging Frontiers: Legal and ethical governance of biotechnology (e.g., gene editing).
2. Regulation of Markets & Platforms
Economic Law: The regulation of “gatekeeper” platforms, algorithmic collusion, and the application of anti-monopoly law in data-driven markets.Environmental Law: The role of technology in environmental governance (e.g., “smart surveillance”), climate change mitigation, and regulating the environmental footprint of the tech industry (e.g., energy consumption of data centers).Emerging Frontiers: Legal and ethical governance of FinTech (e.g., cryptocurrency, DeFi).
Economic Law: The regulation of “gatekeeper” platforms, algorithmic collusion, and the application of anti-monopoly law in data-driven markets.Environmental Law: The role of technology in environmental governance (e.g., “smart surveillance”), climate change mitigation, and regulating the environmental footprint of the tech industry (e.g., energy consumption of data centers).Emerging Frontiers: Legal and ethical governance of FinTech (e.g., cryptocurrency, DeFi).
3. Rights & Accountability
Private Law: Allocating liability for autonomous systems, the legal status of data and virtual assets, and algorithmic bias in contracts or torts.Criminal Law: Combating new forms of cybercrime, the use of AI in law enforcement, and the legal challenges of deepfakes and disinformation.
Private Law: Allocating liability for autonomous systems, the legal status of data and virtual assets, and algorithmic bias in contracts or torts.Criminal Law: Combating new forms of cybercrime, the use of AI in law enforcement, and the legal challenges of deepfakes and disinformation.
4. International & Comparative Dimensions
International Law: The implications of China’s data governance regime (e.g., PIPL, DSL) for international trade rules (e.g., WTO) and cross-border data flows.Comparative Law: Comparative studies on regulatory approaches to new technologies (e.g., AI governance models in China, the EU, and the US).
Meanwhile, submissions on other relevant topics are also welcomed.
International Law: The implications of China’s data governance regime (e.g., PIPL, DSL) for international trade rules (e.g., WTO) and cross-border data flows.Comparative Law: Comparative studies on regulatory approaches to new technologies (e.g., AI governance models in China, the EU, and the US).
Meanwhile, submissions on other relevant topics are also welcomed.
Deadline for Submissions
This call for submissions will close on March 20, 2026.
Manuscripts should be submitted through:
1) Scholastica (URL: https://tsinghuaclr.scholasticahq.com/);
or 2) email to tsinghuaclr@gmail.com.
Manuscripts should be submitted through:
1) Scholastica (URL: https://tsinghuaclr.scholasticahq.com/);
or 2) email to tsinghuaclr@gmail.com.