Models of E‐Government: Are They Correct? An Empirical Assessment

Research into e-government is relatively new. Nevertheless, much contemporary thinking and writing about e-government is driven by normative models that appeared less than a decade ago. The authors present empirical evidence from three surveys of local e-government in the United States to test whether these models are accurate or useful for understanding the actual development of e-government. They find that local e-government is mainly informational, with a few transactions but virtually no indication of the high-level functions predicted in the models. Thus, the models do not accurately describe or predict the development of e-government, at least among American local governments. These models, though intellectually interesting, are purely speculative, having been developed without linkage to the literature about information technology and government. The authors offer grounded observations about e-government that will useful to scholars and practitioners alike.     

Somewhere else: social connection and dislocation of Ethiopian migrants in Johannesburg

ABSTRACT

The meaning of personal relationships for Ethiopian migrants to Johannesburg is shaped by individual connections, by imported social networks that are adapted in the host city, and by the particular conditions of livelihood creation in the emerging Ethiopian entrepreneurial enclave of ‘Jeppe’. In their migration individuals experience both rupture and reconnection – with relatives, as well as through relationships and networks that constitute social capital in Johannesburg. The social world of Ethiopian migrants in this entrepreneurial enclave is complex. Many social connections and dislocations are affected by the life choices in which income generation and economic relations are the primary aim and social relations are necessarily secondary. Others are influenced by the strength of informal social networks that serve the needs of Ethiopian migrants. And, far from ‘here’ and ‘there’ being connected through the use of technology and advanced connectivity, ‘home’ and Johannesburg are experienced as quite separate and different places.     

Evaluating Bioinformatic Pipeline Performance for Forensic Microbiome Analysis*,†,‡

Microbial communities have potential evidential utility for forensic applications. However, bioinformatic analysis of high-throughput sequencing data varies widely among laboratories. These differences can potentially affect microbial community composition and downstream analyses. To illustrate the importance of standardizing methodology, we compared analyses of postmortem microbiome samples using several bioinformatic pipelines, varying minimum library size or minimum number of sequences per sample, and sample size. Using the same input sequence data, we found that three open-source bioinformatic pipelines, MG-RAST, mothur, and QIIME2, had significant differences in relative abundance, alpha-diversity, and beta-diversity, despite the same input data. Increasing minimum library size and sample size increased the number of low-abundant and infrequent taxa detected. Our results show that bioinformatic pipeline and parameter choice affect results in important ways. Given the growing potential application of forensic microbiology to the criminal justice system, continued research on standardizing computational methodology will be important for downstream applications.