Multiregional Economic Modeling: Practice and Prospect

This volume is the result of a particularly effective research collaboration between IIASA and the Department of Regional Economics at the Free University of Amsterdam. The objective was to provide a survey of current practice in the field of multiregional economic modelling and to review its major development trends. As part of the study 50 different models were reviewed and classified, based on a questionnaire circulated to almost 100 researchers or research institutions active in the field. Thus, the project has brought together existing expertise in the area, using IIASA as a "clearing-house" for theories, models and application experience, stemming from many different countries, planning systems and modelling traditions. This book will prove useful both as a source of reference and guide to current applied multiregional economic models, and as a work of structured analysis of the field

Monitoring international migration flows in Europe. Towards a statistical data base combining data from different sources

The paper reviews techniques developed in demography, geography and statistics that are useful for bridging the gap between available data on international migration flows and the information required for policy making and research. The basic idea of the paper is as follows: to establish a coherent and consistent data base that contains sufficiently detailed, up-to-date and accurate information, data from several sources should be combined. That raises issues of definition and measurement, and of how to combine data from different origins properly. The issues may be tackled more easily if the statistics that are being compiled are viewed as different outcomes or manifestations of underlying stochastic processes governing migration. The link between the processes and their outcomes is described by models, the parameters of which must be estimated from the available data. That may be done within the context of socio-demographic accounting. The paper discusses the experience of the U.S. Bureau of the Census in combining migration data from several sources. It also summarizes the many efforts in Europe to establish a coherent and consistent data base on international migration. The paper was written at IIASA. It is part of the Migration Estimation Study, which is a collaborative IIASA-University of Groningen project, funded by the Netherlands Organization for Scientific Research (NWO). The project aims at developing techniques to obtain improved estimates of international migration flows by country of origin and country of destination

Even Turing Should Sometimes Not Be Able To Tell: Mimicking Humanoid Usage Behavior for Exploratory Studies of Online Services

Online services such as social networks, online shops, and search engines deliver different content to users depending on their location, browsing history, or client device. Since these services have a major influence on opinion forming, understanding their behavior from a social science perspective is of greatest importance. In addition, technical aspects of services such as security or privacy are becoming more and more relevant for users, providers, and researchers. Due to the lack of essential data sets, automatic black box testing of online services is currently the only way for researchers to investigate these services in a methodical and reproducible manner. However, automatic black box testing of online services is difficult since many of them try to detect and block automated requests to prevent bots from accessing them. In this paper, we introduce a testing tool that allows researchers to create and automatically run experiments for exploratory studies of online services. The testing tool performs programmed user interactions in such a manner that it can hardly be distinguished from a human user. To evaluate our tool, we conducted - among other things - a large-scale research study on Risk-based Authentication (RBA), which required human-like behavior from the client. We were able to circumvent the bot detection of the investigated online services with the experiments. As this demonstrates the potential of the presented testing tool, it remains to the responsibility of its users to balance the conflicting interests between researchers and service providers as well as to check whether their research programs remain undetected

Avoiding pitfalls in interdisciplinary education

As the world's social-environmental problems increasingly extend across boundaries, both disciplinary and political, there is a growing need for interdisciplinarity, not only in research per se, but also in doctoral education. We present the common pitfalls of interdisciplinary research in doctoral education, illustrating approaches towards solutions using the Nordic Centre for Research on Marine Ecosystems and Resources under Climate Change (NorMER) research network as a case study. We provide insights and detailed examples of how to overcome some of the challenges of conducting interdisciplinary research within doctoral studies that can be applied within any doctoral/postdoctoral education programme, and beyond. Results from a self-evaluation survey indicate that early-career workshops, annual meetings and research visits to other institutions were the most effective learning mechanisms, whereas single discipline-focused courses and coursework were among the least effective learning mechanisms. By identifying the strengths and weaknesses of components of NorMER, this case study can inform the design of future programmes to enhance interdisciplinarity in doctoral education, as well as be applied to science collaboration and academic research in general.Peer reviewe

Popularity markers on YouTube’s attention economy: the case of Bubzbeauty

This article focuses on issues of attention and popularity development in YouTube’s beauty community. I conceptualise the role of views and subscriptions as popularity markers, based on a broader ethnographic examination of 22 months of immersed fieldwork on the platform. I consider the case of Bubz, a British-Chinese beauty guru, through a purposeful sample of 80 videos. A content typology is introduced, presenting four distinctive video categories: content-oriented, market-oriented, motivational, and relational. Drawing from the concepts of ‘attention economy’ and ‘metrics of popularity’, I explore content characteristics and affordances for the creation and maintenance of viewers’ attention. I argue that the guru’s uploads lead to two types of audiences–casual viewers and loyal subscribers. Vlogs renew attention and help maintain the interest first generated by tutorials, leading to treasured subscribers–an essential commodity within YouTube’s highly competitive environment