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Columbia-IBM Center for Blockchain and Data Transparency
The Columbia-IBM Center for Blockchain and Data Transparency supports research, education, and an innovation accelerator to advance innovation in blockchain, data transparency, data sharing, fair use of data, and related technologies for the good of society. It is a joint initiative between Engineering and DSI, and is administered by DSI. This center represents a deep engagement with one company, a model DSI hopes to replicate for the future. The center comprises three funded “tracks”: The research track supports 12 research projects and six workshops. The education track provides support towards the creation of five new courses in blockchain and data transparency. The innovation accelerator track, a partnership with Columbia Technology Ventures, provides support towards building and scaling early-stage companies in the areas of data transparency, big data, artificial intelligence, machine learning, blockchain, cybersecurity, or related technology fields.
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The following projects have received grants to contribute important research and innovation in blockchain, smart contracts, and data transparency.
An Introduction to Blockchain Technology | Xiaodong Wang (Electrical Engineering) Blockchains and Applications | Alexandros Biliris and Eran Tromer (Computer Science) Coded Blockchain for Internet of Things | Xiaodong Wang and Alexei Ashikhmin (Electrical Engineering) Cryptographic Tools for Secure Sharing and Learning in the Wake of COVID-19 | Tal Malkin (Computer Science) DeepSEA Framework for Building Certified Smart Contracts | Ronghui Gu (Computer Science) Economics of Blockchain Adoption | Jay Sethuraman and Garud Iyengar (Industrial Engineering and Operations Research) Foundations of Blockchain | Tim Roughgarden (Computer Science) Incentive Compatible Blockchains | Christos Papidimitriou, Tim Roughgarden, and Xi Chen (Computer Science) Increasing Usage of Exposure Notification Applications | Eric Johnson (Business) Introduction to Blockchain and Cryptocurrencies | Gur Huberman (Business) Machine Learning and the Changing Economics of Knowledge | Simona Abis and Laura Veldkamp (Business)
Pathways to Enabling and Ensuring Legal and Regulatory Certainty, Transparency and Security
for Blockchain and Smart Contract Use in the Emerging Crypto-Economy | Leon Perlman and Robert Farrokhnia (Business)
Transparent Food Supply Chain Systems: Towards Increasing Efficiency and Sustainability Under
Uncertainty | Agostino Capponi (Industrial Engineering and Operations Research)
Pictured: Laura Veldkamp
