awesome-data-valuation
github.com/daviddao/awesome-data-valuation ↗💱 A curated list of data valuation (DV) to design your next data marketplace
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me data market system designs resources from awesome-data-valuation"
Installation instructions →What's inside
Designing data marketplaces
- A demonstration of sterling: a privacy-preserving data marketplaceData market system designs
Nick Hynes, David Dao, David Yan, Raymond Cheng, Dawn Song
- A Marketplace for Data: An Algorithmic SolutionData market system designs
Anish Agarwal, Munther Dahleh, Tuhin Sarkar
- A Principled Approach to Data Valuation for Federated LearningData valuation applications
Tianhao Wang, Johannes Rausch, Ce Zhang, Ruoxi Jia, Dawn Song
- Computing a Data DividendData market system designs
Eric Bax
- DataBright: Towards a Global Exchange for Decentralized Data Ownership and Trusted ComputationData market system designs
David Dao, Dan Alistarh, Claudiu Musat, Ce Zhang
- Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy RegulationsAutomatic data compliance
Lun Wang, Joseph P. Near, Neel Somani, Peng Gao, Andrew Low, David Dao, Dawn Song
What is your data worth?
- A Distributional Framework for Data ValuationShapley Value & Cooperative Game Theory
Amirata Ghorbani, Michael P. Kim, James Zou
- A Multilinear Sampling Algorithm to Estimate Shapley ValuesShapley Value & Cooperative Game Theory
Ramin Okhrati, Aldo Lipani
- An evolutionary approach to data valuationEvolutionary Approaches
Natalia Khuri, Sapan Bhandari, Esteban Murillo Burford, Nathan P. Whitener, and Konghao Zhao
- Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainabilityShapley Value & Cooperative Game Theory
Christopher Frye, Colin Rowat, Ilya Feige
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine LearningShapley Value & Cooperative Game Theory
Yongchan Kwon, James Zou
- Collaborative Machine Learning with Incentive-Aware Model RewardsShapley Value & Cooperative Game Theory
Rachael Hwee Ling Sim, Yehong Zhang, Mun Choon Chan, Bryan Kian Hsiang Low
Data Valuation Researchers
- Ali Sunyaev
Karlsruhe Institute of Technolgoy
- Amirata Ghorbani
Stanford
- Andre Esteva
Co-Founder & CEO, Artera
- Anran Xu
Shanghai Jiao Tong University
- Bohong Wang
Tsinghua University
- Bojan Karlaš
Harvard
Strategic adaptation
- Alternative Microfoundations for Strategic ClassificationStrategic classification
Meena Jagadeesan, Celestine Mendler-Dünner, Moritz Hardt
- Performative PredictionPerformative prediction
Juan Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt
- Stochastic Optimization for Performative PredictionPerformative prediction
Celestine Mendler-Dünner, Juan Perdomo, Tijana Zrnic, Moritz Hardt
- Strategic Classification is Causal Modeling in DisguiseStrategic classification
John Miller, Smitha Milli, Moritz Hardt
Data markets and society
- Chapter 5: Data as Labor, Radical MarketsData Dignity
Eric A. Posner and E Glen Weyl
- Nonrivalry and the Economics of DataEconomics of Data
Charles I. Jones, Christopher Tonetti
- Should We Treat Data as Labor? Moving beyond "Free"Data Dignity
Imanol Arrieta-Ibarra, Leonard Goff, Diego Jiménez-Hernández, Jaron Lanier, E. Glen Weyl
Libraries
- datascope
Bojan Karlaš
- Data Valuation in Machine Learning: “Ingredients”, Strategies, and Open ChallengesSurveys
Rachael Hwee Ling Sim*, Xinyi Xu*, Bryan Kian Hsiang Low
- influenciae
Deel-AI
- pyDVL
appliedAI Institute
- Training data influence analysis and estimation: a surveySurveys
Zayd Hammoudeh and Daniel Lowd
Benchmarks
- OpenDataVal: a Unified Benchmark for Data Valuations
Kevin Jiang, Weixin Liang, James Zou, Yongchan Kwon
Showing a sample of 104 resources. View the full list on GitHub →