8:00-8:30 Keynote 1: Blockchain in Action: Business Models, Application Examples and Strategies
Jian Pei, Professor, Simon Fraser University
8:30-9:00 Keynote 2: Constraints on Real World Blockchain Payments
Matt Curcio, VP Data, Ripple
9:00-9:30 Keynote 3: Multi-Chain Technologies
Feng Cao, Founder, PChain
9:30-10:00 Coffee Break
10:00-10:30 Keynote 4: Democratized and Personalized Data Intelligence, with Privacy by Design
Feida Zhu, Associate Professor, Singapore Management University & Founder, Symphony Protocol
10:30-11:00 Invited Paper Talk: Two Proposed Vehicle Insurance Pricing Frameworks Based on Federated Machine Learning
Anxun He, Jianzong Wang, Zhangcheng Huang, Linjie Chen, Lingwei Kong, Man Zhang, Mei Han, Ruei-Sung Lin and Jing Xiao, Ping An Technology
11:00-12:00 Panel Discussion: A Candid Dialogue on Blockchain Between Academia and Industry
Jian Pei, Matt Curcio, Feng Cao, Feida Zhu
With the advent of Bitcoin, a cryptographically-enabled peer-to-peer digital payment system, blockchain together with a whole package of distributed ledger technologies, which serve as the underlying foundation of all the crypto-currencies, have been gaining attention from both academia and industry in the last decade. Furthermore, the recent years have witnessed tremendous momentum in the development of blockchain and distributed ledger technologies, largely due to the impressive rise in the market capital of these digital tokens. More and more industries, from banking and insurance, to supply chain and e-commerce, are quickly realizing the great potential in blockchain technology in efficiency boost, process automation and secure data sharing across otherwise isolated data silos. Companies like JP Morgan has initiated JPM token to revolutionize the banking industry, an outstanding example of a major industrial giant turning from cold dismissal of the new notion to warm embracing of the novel innovation.
Blockchains are distributed ledgers that enable parties who do not fully trust one another to maintain a set of global states. The parties agree on the existence, values, and histories of the states. Most attention and research so far have been devoted to the underlying technologies from the database, distributed architecture, cryptography and consensus aspects, primarily because the priority as yet has been attached to the feasibility, stability and scalability of the platforms. Yet, as it has been gaining increasing awareness that the greatest potential of blockchain and distributed technologies lies in unleashing a whole new economy empowered by the capabilities to convert a rich class of emerging class of virtual assets into attributable value, including a long list of promising new concepts such as influence, social capital, swarm intelligence, personal data and credit. How to bring the greatest value out of the various types of new “on-chain” data in the blockchain setting becomes an urgent task. Consequently, it is both important and challenging to explore a wealth of interesting new research topics in this new setting that fall broadly under the scope of KDD yet with the unique requirement to achieve the optimal balance among data utility, security and privacy. KDD, as the leading venue for data mining, knowledge discovery and artificial intelligence, should take the lead in this promising new domain.
The workshop aims to provide for the first time a venue at SIGKDD for developers, practitioners, and researchers from different background to discuss how the unique properties of blockchain and distributed ledger that benefit current and future applications, particular from the perspective of integrating data mining, analysis and intelligence into the underlying framework. To best integrate with KDD community and scope, we have proposed the special theme of “Smart Data” to highlight the mission and focus of this workshop. The workshop will be held in Anchorage, Alaska on August 5, 2019 in conjunction with the ACM SIGKDD 2019.
The International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD’19) aims to bring together practitioners and researchers with a specific focus on the emerging trends and industry needs associated with the AI, data mining, data governance, data privacy and other topics under the “Smart Data” framework. Both theoretical and experimental submissions are encouraged. Topics of interest include but are not limited to:
We invite submissions for original research papers both theory and application-oriented as well as submissions from the research track and applied data science track of the main conference. We encourage the participants to submit papers on novel datasets and release them to advance the field. Papers must be submitted in PDF according to the ACM Proceedings Template in a single-blind format (including author names and affiliations). We welcome both long papers (maximum length of 9 pages) and short papers (maximum length of 5 pages). The accepted papers will be published on the workshop’s website, and will not be considered archival for resubmission purposes. Please submit your papers at the EasyChair submission link.
All deadlines are 11:59 PM Pacific Standard Time
Workshop paper submissions: May 19, 2019
Workshop paper notifications: June 1, 2019
Workshop date: August 5, 2019
Please email fdzhu@smu.edu.sg for any questions.