Nonprofits and other social change organizations are lagging their counterparts in the scientific and business communities in collecting and analyzing the vast amounts of data that are being generated by digital technology. Four steps need to be taken to improve the use of big data for social innovation.
Kena Fedorschak, Srivatsav Kandala, Rashmi Krishnamurthy, and I have a paper accepted at the Ninth International Conference on Design Science Research in Information Systems and Technology. The paper, Data Analytics and Human Trafficking, highlights our efforts toward building IT solutions to combat human trafficking at the ASU Decision Theater.
Human trafficking is recognized internationally as an extreme form of violence against women, children, and men. Despite the fact that human trafficking is universally understood to be a burgeoning social problem, a paucity of data and insight into this issue exists. Data analytics has immense potential to elucidate trends in complex social data and inform future policy. We undertook a design science-inspired research approach to build datasets on human trafficking. Three prototypes are presented that describe the methodologies of human traffickers, display correlations between calls reporting suspected trafficking activity and various demographic data, and explicate the effectiveness of US anti-trafficking funding projects.
I will be speaking on Big Data at the Technological Innovation in Government: Toward Open and Smart Government Symposium organized by the Section for Science & Technology in Government of the American Society for Public Administration. Other speakers at the event include Jane Fountain (UMass), Elizabeth Bruce (MIT), Chris Osgood (Office of New Urban Mechanics, City of Boston), and Bill Oates (CIO, Commonwealth of Massachusetts), among others. For more information on the event, please click here.
I will be giving two talks this week on my Big Data report. The first presentation will take place at the Fakultät für Informatik, Technische Universität München on March 12 (See here for more details). I will then fly to Slovenia to give a talk at the Faculty of Information Studies in Slovenia on March 14.
Federal CIOs must do a better job of creating and using metrics if IT is to earn the respect it deserves as a value generator instead of a money drain. To read more, please click here.
Belarus authorities’ counter-revolutionary tactics related to information and communication technologies in 2001-2010: lessons learned
Information and communication technology (ICT)-enabled revolutionary tactics play an important role in uprisings against non-democratic regimes worldwide. Up to now, a critical understanding of how authorities in those countries employ ICT-based counter-revolutionary measures has been missing. In this paper we examine the evolution of ICT-based counterrevolutionary tactics employed by one of the most ingrained authoritarian regimes—that of Belarus—through the last decade (2001-2010). The political opposition’s responses to the authorities’ countermeasures are also investigated, followed by an analysis of the co-evolution of these opponents’ ICT-related tactics. We suggest that use of ICT (by both sides) was not among the main factors leading to Belarus’ failed colour revolution. Rather, factors such as miscalculations on the side of the opposition; effective preemption by authorities; collaboration with foreign regimes by the authorities; and harsh physically oppressive measures by the authorities played the main part. Based on these conclusions, implications for the general theoretical framework of political cyberprotest in the former USSR are discussed. Finally, practical suggestions for the improvement of dissenters’ use of ICT during major political cyberprotest are provided.