For the first time in the DSAA history, DSAA’2019 will feature Hot Topic Sessions. These sessions bring attention to important topics the Program Chairs identified, as well as an open bag Hot Topics Session for topics the DSAA community believes are important.
Submission Guideline
Papers should be 2-4 pages in the double-column IEEE format by following the IEEE template and will be reviewed by Hot Topic Session Organizers. The papers will be posted on our conference website but will not be included in the formal conference proceedings.
Submission system: Submissions should be made to one of the following three DSAA’2019 Hot Topics sessions in the DSAA’2019 submission system at https://easychair.org/conferences/?conf=dsaa2019.
Submission deadline: 2 August 2019.
We have three Hot Topics that will be part of the DSAA’2019 program:
Hot Topic 1: Flows of (Mis)Information Online
Organizers:
Ceren Budak
Leticia Bode
Pamela Davis-Kean
Jule Krüger
Jonathan M. Ladd
Zeina Mneimneh
Josh Pasek
Trivellore Raghunathan
Rebecca Ryan
Stuart Soroka
Michael Traugott
Scope of the topics
The introduction of Web 2.0 and social media platforms has democratized access to information. The decentralized nature of social media platforms provide the means for a diverse group of information producers–including ordinary individuals–to reach broad audiences and spread their ideas. Yet, the lack of a filtering mechanism and the difficulty of assessing the credibility of individuals and information online can and often do result in widespread diffusion of misinformation. This presents an important challenge for academics and industry alike. The complexity of this challenge requires an interdisciplinary approach. Social scientists and computer scientists need to understand the flow of information and misinformation to build tools that will support information access while curtailing the spread of misinformation, as well as to understand the impact of individuals’ exposure to these two different types if information. This special session will focus on these challenges.
The topics of interest for this session include but not limited to:
- Large-scale data analysis of the content of information and misinformation spread online
- Cross-platform and cross-domain studies: examining commonalities and differences
- Mathematical and predictive models of diffusion
- Mixed-method approaches to studying these sources and the diffusion of their content
- The impact of exposure to information and misinformation provided by different sources
Proposed Panel:
Misinformation across domains: Commonalities and Distinctions. We plan to include paper presentations and a panel discussion to highlight the breadth of work in this space.
Hot Topic 2: FinTech
Co-chairs:
Prof George Yuan, Soochow University & Sun Yat-sen University
Prof. Jianwu Lin, Tsinghua University, Shenzhen
A/Prof. Xiaofeng Ma, Tongji University
Scope of the topics:
Finance has been one of the most active domains with increasingly bigger data, faster innovations and more prosperous applications of data science, including algorithmic trading, cryptocurrency, blockchains, P2P lending, digital and mobile payments, digital assets, crowdfunding, robo-advising, and regtech transformation. Data science is driving new-generation financial technology (FinTech), which profoundly disrupts existing theories of money, investment, credit, market and regulation and empowers new-generation financial innovations, products, services, operations, processes and ecosystems. This special session will collect the latest advancements in FinTech driven by advanced data science that model complex interactions, relations, and their dynamics and impact on big financial data and complex financial behaviors across financial markets, products, systems and networks, as well as enable smart financial innovations, services, markets, operations, processes, products, and regulation and risk management.
The topics of interest for this FinTech session include but not limited to:
- Construction of financial data DNA and genomics in financial systems, enterprise and regions
- Representation learning of complex financial and socio-economic problems and networks
- Modelling complex couplings, relations, dependencies, interactions, and networking in finance
- Modelling regional and global financial activities, behaviors, events and their impact and risk
- Cross-market, product, indicator, platform and network modelling, hologram and risk analysis
- Modelling natural, online, social, economic, cultural and political factors in finance
- Modelling financial scenarios, emergence, uncertainty and ill- to un-structured systemic risk
- Novel theories and tools for digital assets and their valuation, risk analysis and management
- New blockchain theories and tools for cryptocurrency, digital asset pricing, trading, mechanism design, smart contract, open banking and investment
- Innovation in credit loans and risk genes for SMEs and individual financing
- Innovations in P2P lending, crowdfunding, robo-advising, digital payment and dynamic credit rating and asset pricing
- Other important aspects, issues and progress associated with both data science and FinTech
Formal submissions to a special issue:
Extended submissions from this special session may be invited to the Special Issue on AI and FinTech with IEEE Intelligent Systems: http://203.170.84.89/~idawis33/DataScienceLab/news/special-issue-on-ai-and-fintech-with-ieee-is/ for further review and publication consideration.
Hot Topic 3: Mixed Bag
This session is an open Hot Topic Session focused on letting our research community propose different emerging topics. Any topic that does not fit into the other Hot Topic sessions can be submitted to this session.
