Big data, data analytics, personal data, open data, linked data, metadata, data journalism, data science, data
infrastructures….and still you can add a new “data” phrase!
Data has become a buzzword used in a number of disciplines, by technical and business communities. At the same
time, the growing interaction among corporate, governmental and personal information spaces introduces a novel
set of opportunities and challenges for the economy.
The
DATA ECONOMY workshop will try to engage scholars and professionals from multiple disciplines including
economics, management, open governance, data science, computer science and software engineering in discussions
related to how digital data, scattered in decentralised information systems and applications and being accessible
via the Web, change the economy and the ways we are doing business.
Accepted papers in the Data Economy workshop will be awarded a free day pass to the conference for the 22th of November 2017
Possible topics for discussion (but not limited to):
- Economic theory and practice related to online data and the Web (e.g. Web economics)
- Data infrastructures (and open standards) for the economy (e.g. open banking standard)
- Data and information strategies and policies
- Open data as a tool in economic policy
- Open data for business and economic development
- Financial data transparency (e.g. open ownership, open budgets)
- Business practices and the economic impact of GAFA
- Business intelligence and data analytics
- Business models and value creation in data-oriented environments
- Data and content based e-commerce
- The role of data in the Digital Single Market in Europe
- Open Scientific Data and the European Open Science Cloud
- Computational economy and big data in finance
- Big data in operational research, business intelligence and economic analysis
- Personal data and Personal Information Management systems (PIMS): markets, business models and consumer
behaviour
- Economic implications of data transparency and algorithmic (or AI) accountability
- Social media analytics: business models and economic impact
- Measuring the data economy (e.g. open data indices, societal impact etc.)
- Legal issues in the data economy
- Security issues for data economy stakeholders (e.g. in security for data centres, cloud infrastructure,
user authentication etc.)
- Privacy as a commodity and privacy-related aspects of monetising user data
Paper submissions are through EasyChair
https://easychair.org/conferences/?conf=dataeconomy2017