THE BURNING OF THE HOUSES OF PARLIAMENT. J.M.W. TURNER, 1835. /WIKIMEDIA.

Current Issue – March 2019

Technology for Governance, Politics, and Democracy

Innovative Information and Communication Technologies (ICT) already play an important role in e-governance and digital democracy, both at national and community levels. There is unprecedented opportunity for community collective choice, whereby citizens who are affected by a set of governing rules can help to select policy options, rank spending priorities, and can, in partnership with their local government representatives, participate in the approval, implementation, modification, and application of those rules. Parliaments can be petitioned by citizen groups to insert debates into the legislative process. Social networking ICTs make it possible for politicians and political parties to engage directly with citizens at every stage of the democratic process. But not all their effects are positive.

Tom Kane and Nick Novelli, Guest Editors, from Special Issue Introduction

 

 




Free Online Content


Departments


Masthead
T&S Magazine and SSIT
 
President's Message
Congratulations and Thanks
Robert Dent  
News and Notes
IEEE SSIT Online Resources
 
Book Review
Algorithms of Oppression
Rachelle Linner  
Book Review
Teaching Equality and Human Rights in Engineering
Monika R. Kulak  
Opinion
Smart Cities through Smart Regulation: The Case of São Paulo
Gustavo Gil Gasiola, Juliano Marçal Lopes, Augusto Ferreira Brandão Júnior, and Eduardo Mario Dias  
Special Issue Introduction
Technology for Governance, Politics, and Democracy
Tom Kane and Nick Novelli  
Last Word
Post Tenebras, Lux: An Awakening
Christine Perakslis  
SSIT Fundraising Campaign
Influence the Direction of Technology
 

Features


In Search of Democracy 4.0: Is Democracy as We Know It Destined to Die?*
Brook Manville and Josiah Ober
* Refereed Article
Democratizing Platforms for Social Coordination*
Jeremy Pitt, Agnieszka Rychwalska, Magdalena Roszczyn´ska-Kurasin´ska, and Andrzej Nowak
* Refereed Article
Twitter Data for Predicting Election Results: Insights from Emotion Classification*
Satish M. Srinivasan, Raghvinder S. Sangwan, Colin J. Neill, and Tianhai Zu
* Refereed Article
Must Surprise Trump Information?*
Lav R. Varshney
* Refereed Article

NOTE: Most IEEE Technology and Society Magazine columns and department articles are publicly accessible at no charge. Click on the title of any non-refereed article to read.

SSIT membership (subscription) is required to access refereed articles (marked with asterisk).