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Purpose – Statistics about the level of crime continue to attract public and political attention but are often presented in conflicting ways. In England and Wales, police-recorded crimes are no longer considered “national statistics” and, instead, the crime survey of England and Wales (CSEW) is used. However, it is not clear why partial population data (e.g., police-recorded crime) are considered less reliable or valid for measuring temporal crime trends in society than inferential statistical estimation models that are based on samples such as CSEW. This is particularly the case for approximating rare events like high-harm violence and specific harmful modus operandi (e.g., knife crime and firearms). In this chapter, the authors cross-reference victim survey and police-recorded data to determine similarities and contradictions in trends.

Methods – Using police data and CSEW estimates, the authors contrast variance and logarithmic trend lines since 1981 across a range of data categories and then triangulate the results with assault records from hospital consultations.

Findings – Change in crime rates in recent years is neither as unique nor extreme as promulgated in media coverage of crime. Moreover, analyses show conflicting narratives with a host of plausible but inconclusive depictions of the “actual” amount of crime committed in the society. The authors also conclude that neither source of data can serve as the benchmark of the other. Thus, both data systems suffer from major methodological perils, and the estimated crime means in CSEW, inferred from samples, are not necessarily more valid or accurate than police-recorded data (particularly for low-frequency and high-harm crimes). On the other hand police-recorded data are susceptible to variations in recording practices. As such, the authors propose a number of areas for further research, and a revised taxonomy of crime classifications to assist with future public interpretations of crime statistics.

Originality – There is much public and academic discourse about different sources of crime measurement yet infrequent analysis of the precise similarities and differences between the methods. This chapter offers a new perspective on long-term trends and highlights an issue of much contemporaneous concern: rising violent crime.

Purpose — In this chapter, we will review several alternative methods of collecting data from mobile phones for human mobility analysis. We propose considering cellular network location data as a useful complementary source for human mobility research and provide case studies to illustrate the advantages and disadvantages of each method.

Methodology/approach — We briefly describe cellular phone network architecture and the location data it can provide, and discuss two types of data collection: active and passive localization. Active localization is something like a personal travel diary. It provides a tool for recording positioning data on a survey sample over a long period of time. Passive localization, on the other hand, is based on phone network data that are automatically recorded for technical or billing purposes. It offers the advantage of access to very large user populations for mobility flow analysis of a broad area.

Findings — We review several alternative methods of collecting data from mobile phone for human mobility analysis to show that cellular network data, although limited in terms of location precision and recording frequency, offer two major advantages for studying human mobility. First, very large user samples – covering broad geographical areas – can be followed over a long period of time. Second, this type of data allows researchers to choose a specific data collection methodology (active or passive), depending on the objectives of their study. The big mobile phone localization datasets have provided a new impulse for the interdisciplinary research in human mobility.

Originality/value of chapter — We propose considering cellular network location data as a useful complementary source for transportation research and provide case studies to illustrate the advantages and disadvantages of each proposed method. Mobile phones have become a kind of “personal sensor” offering an ever-increasing amount of location data on mobile phone users over long time periods. These data can thus provide a framework for a comprehensive and longitudinal study of temporal dynamics, and can be used to capture ephemeral events and fluctuations in day-to-day mobility behavior offering powerful tools to transportation research, urban planning, or even real-time city monitoring.

Using a novel measure incorporating stylistic and acoustic data on recorded music from 1967 to 2017, we search for trends in the evolution of musical diversity in 125,340 albums. We find that temporal patterns of diversity differ for stylistic and acoustic data. We also find that the patterns differ dramatically by genre. Some genres, such as blues, jazz, and pop-rock, decrease in diversity over time; most other genres increase in diversity. The causes of these different trends present a puzzle for future research. We also find different patterns for recordings that made the Billboard 200 charts compared to all recordings, suggesting an association between selection processes driven by consumer popularity and diversity. Moreover, associations of diversity and industry structure found in prior research do not hold when we analyze data beyond the smaller sample of the more popular recordings found in Billboard. These findings have implications for many prior studies based exclusively on best-selling recordings

We explore how the long-run success of cultural products is affected by the identities of the product's originators and early adopters. Using U.S. jazz recordings from 1920 to 1929, we found that songs were more likely to be later covered from 1944 to 2004 if they followed a pattern of having black originators and white early adopters. Moreover, we provide evidence that this pattern is independent of a song's commercial success, resources available to a song's originators, and group-level indicators such as size and experience. We conclude that late adopters (musicians after World War II (WWII)) were attracted to songs that followed a narrative of both “lowbrow” origins and early adoption by those considered “highbrow” with respect to jazz. The findings also support a new means for considering the role of identities as the building blocks of genres, in particular, and categories more generally.

This study proposes targeted modernization of the Department of Defense (DoD's) Joint Forces Ammunition Logistics information system by implementing the optimized innovative information technology open architecture design and integrating Radio Frequency Identification Device data technologies and real-time optimization and control mechanisms as the critical technology components of the solution. The innovative information technology, which pursues the focused logistics, will be deployed in 36 months at the estimated cost of $568 million in constant dollars. We estimate that the Systems, Applications, Products (SAP)-based enterprise integration solution that the Army currently pursues will cost another $1.5 billion through the year 2014; however, it is unlikely to deliver the intended technical capabilities.

This chapter proposes an optimized innovative information technology as a means for achieving operational functionalities of real-time portable electronic health records, system interoperability, longitudinal health-risks research cohort and surveillance of adverse events infrastructure, and clinical, genome regions – disease and interventional prevention infrastructure. In application to the Dod-VA (Department of Defense and Veteran's Administration) health information systems, the proposed modernization can be carried out as an “add-on” expansion (estimated at $288 million in constant dollars) or as a “stand-alone” innovative information technology system (estimated at $489.7 million), and either solution will prototype an infrastructure for nation-wide health information systems interoperability, portable real-time electronic health records (EHRs), adverse events surveillance, and interventional prevention based on targeted single nucleotide polymorphisms (SNPs) discovery.

In the recent past, mobile technologies that track the movement of people, freight and vehicles have evolved rapidly. The major categories of such technologies are reviewed and a number of attributes for classification are proposed. The willingness of people to engage in such technologically based surveys and the reported biases in the make-up of the sample obtained are reviewed. Lessons are drawn about the nature of the samples that can be achieved and the representativeness of such samples is discussed. Data processing is addressed, particularly in terms of the processing requirements for logged data, where additional travel characteristics required for travel analysis may need to be imputed. Another issue explored is the reliability of data entered by respondents in interactive devices and concerns that may arise in processing data collected in real time for prompting or interrogating respondents. Differences, in relation to the data user, between data from mobile devices and data from conventional self-report surveys are discussed. Potentials that may exist for changes in modelling from using such data are explored. Conclusions are drawn about the usefulness and limitations of mobile technologies to collect and process data. The extent to which such mobile technologies may be used in future, either to supplement or replace conventional methods of data collection, is discussed along with the readiness of the technology for today and the advances that may be expected in the short and medium term from this form of technology.

In this chapter, I offer a critique of linguistic field methodology, exploring the contribution that a participant-driven approach to data collection can make to language documentation and description. Bringing together material from linguistic field manuals, project documentation, hand-written field notes, and reflexive accounts of my field experiences, I trace my journey into the field, and through the process of collecting language data for the eventual production of a grammatical description. I establish that the basic field methodology advocated by linguists has traditionally involved tightly structured interviewing (known as “elicitation”). At the same time, I point to a literature in which this methodology is critiqued. While experienced fieldworkers no doubt employ multiple methodologies in the field, novice fieldworkers are encouraged to focus on their research goals. This can mean that elicitation sessions typically become the only way in which fieldwork is carried out.Drawing on my own experiences in the field, I demonstrate that linguistic fieldwork can combine ethnographic participation/observation methodology with community-driven text collection, and context-rich techniques of elicitation. This layered methodology prioritises people and social participation over the goals of academic research. It allows the research record to be shaped by the community, thus permitting the researcher to experience and seek understandings of the symbolic system of language from the perspective of the community. In my experience, such a methodology enhances the sustainability of the field project from both community and researcher perspectives. Crucially, it creates a context in which it is more likely that the linguist will be invited to return to the field and contribute in an ongoing way to a community, on their terms.