CFP: Public Sector Big Data #AMCIS2015 - Deadline Feb 25

*** Apologies for Cross-Posting ***


Mini-Track on Framing Public Sector Big Data
E-Government Track - AMCIS Americas Conference on Information Systems

DEADLINE: February 25th 2015
CONFERENCE: Puerto Rico, August 13th-15th 2015.


The mainstreaming of e-government has created and facilitated the
availability of an abundance of open government data. Third parties and
related applications have enthusiastically embraced public sector data
sources. Information systems designed to support internal processes now
have a central role in commercial applications including big data.

Unlike the private sector, the public sector has little control over
secondary use of its material yet must withstand a higher level of
scrutiny. Conversely, governments obtain and analyze commercial data
sources as well.

What challenges are facing public sector information systems in the era
of big data?

This mini track invites work that frames government big data issues from
technical, social, or organizational perspectives. In addition to
empirical studies, theoretical and conceptual papers will be considered.

We encourage submissions that may include but are not limited to issues
of policy, governance, diffusion, adoption, implementation,
identification, privacy, cloud computing, or social media. Relevant
research might be applied to areas that generate significant government
data, such as statistics, social services, healthcare, and education.

The objective of the mini-track is to encourage research that can be
useful to those employing and managing data in the public sector.

Anne L. Washington
Laurie A. Schintler
Connie L. McNeely

George Mason University
School of Policy, Government and International Affairs
Arlington, VA

Americas Conference on Information Systems (AMCIS 2015) will be held
August 13-15, 2015 in Puerto Rico.  See for
details. The deadline for submissions is February 25, 2015.

Anne L. Washington, PhD

Latest: Government Information Policy in the Era of Big Data.
Review of Policy Research. 31(4). 319–325.

Received on Friday, 13 February 2015 14:05:21 UTC