Introduction

2021 ◽  
pp. 1-22
Author(s):  
Karen Mossberger ◽  
Eric W. Welch ◽  
Yonghong Wu

Broadband internet use is often heralded for its transformative potential in a broad range of policy areas, but there is scarce evidence on whether this is so, and how it can be utilized most effectively by organizations and communities. While the attribution of change to programmatic efforts is a familiar challenge in evaluation research, broadband technologies present some particular issues for evaluation: the “black box” problem of understanding user behavior, the complexity of theorizing about the interaction between technology and policy-specific processes, and understanding change over time. How can we better address both the challenges and the opportunities for evaluating broadband initiatives? This chapter introduces the plan of the volume in the context of answering these questions.

2021 ◽  
Vol 30 (1) ◽  
Author(s):  
Gilda Olinto ◽  
Sonoe Sugahara Pinheiro ◽  
Nadia Bernuci dos Santos

This article focuses on gender differences in Internet use in Brazil and how it is changing over time, considering its interplay with other environmental and social conditions. Initially, we consider evidence and theoretical approaches of women’s detachment from technology. We then look at data obtained from the 2005 and 2015 Brazilian Bureau of Census Annual Surveys. The results indicate that Internet use grew substantially in the country, but a large portion of the population is still segregated from it. The results also show that some social conditions for Internet use seem to have decreased their impact; however, in 2015 these factors still show a strong effect on the use of this technology. Insofar as gender is concerned, the analyses of its interplay with environmental and social conditions, and its change over time, bring about intriguing, albeit positive results: Women seemed to have transitioned from a slightly inferior to a somewhat better position relative to men.


Author(s):  
Zhaokun Xue ◽  
Alva Couch

AbstractWe describe a recommendation system for HydroShare, a platform for scientific water data sharing. We discuss similarities, differences and challenges for implementing recommendation systems for scientific water data sharing. We discuss and analyze the behaviors that scientists exhibit in using HydroShare as documented by users’ activity logs. Unlike entertainment system users, users on HydroShare tend to be task-oriented, where the set of tasks of interest can change over time, and older interests are sometimes no longer relevant. By validating recommendation approaches against user behavior as expressed in activity logs, we conclude that a combination of content-based filtering and a latent Dirichlet allocation (LDA) topic modeling of user behavior—rather than and instead of LDA classification of dataset topics—provides a workable solution for HydroShare and compares this approach to existing recommendation methods.


2009 ◽  
Author(s):  
Brian Garbarini ◽  
Hung-Bin Sheu ◽  
Dana Weber

2010 ◽  
Author(s):  
Sam Nordberg ◽  
Louis G. Castonguay ◽  
Benjamin Locke

2003 ◽  
Author(s):  
M. Spano ◽  
P. Toro ◽  
M. Goldstein
Keyword(s):  
The Cost ◽  

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