-------- Forwarded Message --------
Special Issue on Big Data Analytics for Sustainability in
Information & Management
https://www.journals.elsevier.com/information-and-management/call-for-papers/special-issue-big-data-analytics-sustainability
Uneven economic development, mass consumerism and unreasonable
natural or human resource utilization can lead to significant
deleterious outcomes, including problems such as pollution,
climate change, transportation disorder, social injustice,
discrimination, crime, unfair competition, and resource
deficiency. Sustainability is a paradigm for deliberating about
the future in which environmental, societal and economic
considerations are all balanced in the pursuit of our improved
existence. Data-driven analytics has extensively penetrated both
academic and practical spheres. By harnessing its power in
processing large volumes of information, data analytics techniques
help people to discover undiscovered links and make better
decisions. Predictive techniques, such as those of machine
learning (including artificial intelligence and deep learning),
can help to guide us in solving future as well as current
problems. Econometric techniques (including
difference-in-differences, instrumental variables, matching
techniques) allow us to learn causal relationships and their
underlying mechanisms in large scale observational data that span
across periods of time. However, as yet, insufficient effort has
been invested into applying these techniques to the emerging set
of problems regarding sustainability.
The focus of this special issue is the application of data
analytics to understand better sustainability issues, and to
inform stakeholders of possible solutions. Large scale data’s
potential impact on alleviating sustainability issues hinges on
several aspects. First, interactions between people, resources,
ecosystems and climate can be analysed using data gathered from
society and the environment. Second, interactions between
consumers, companies, suppliers and markets can be optimized for
sustainable development. Third, the inter-related impacts that the
business world and natural world have on each other also need to
be further investigated.
This special issue focuses on high quality, up-to-date
technologies and solutions related to data analytics for
sustainability. To our knowledge, it is the first special issue of
its kind focusing on these converging topics. We aim to serve as a
special issue for researchers all over the world to discuss their
current work and recent advances in this field. Both theoretical
studies and state-of-the-art practical applications are welcomed
for submission. All submitted papers will be thoroughly
peer-reviewed and selected on the basis of both their quality and
their relevance to the theme of this special issue. Papers invited
for revision will be invited to present their research at a
conference held at King’s College London in June 2019.
The list of possible topics for this special issue includes, but
is not limited to:
1. The impacts of business operations on society and the
environment using fine-grained data.
2. Data analytics for equality, diversity and consumer protection.
3. Data analytics for improving health outcomes.
4. Data analytics for environmentally sustainable transportation
systems.
5. Data analytics to achieve conformity to governmental regimes.
6. The application of data analytics for assessing environmental
risks.
7. Data analytics for information security and resilience.
8. Data analytics for the circular economy.
9. The juxtaposition of data analytics in government and
sustainability regulation.
10. Data analytics for smart cities and homes.
11. Social networks, online sharing and data analytics.
12. Data analytics for economic growth, employment and income
opportunities.
13. Data analytics for democracy, social justice/inclusion, and
crime fighting.
14. Big data driven approaches to collect and analyze large
volumes of information from emerging technologies (e.g., IoT,
remote sensors, wireless sensor networks, RFIDs, mobile)
Proposed Dates
Submission Deadline: 1st March 2019
Invitation to Revise Paper for Special Issue: 1st June 2019
Deadline for Revised Paper: 1st September 2019
Final Decision on Acceptance: 1st December 2019
Publication: 1st March 2020
All the best
Dr Yue Guo
Guest Editor
_______________________________________________
AISWorld mailing list
AISWorld@lists.aisnet.org