Browsing Institute for Data, Systems, and Society by Title
Now showing items 59-71 of 71
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Temporal fidelity in dynamic social networks
(The European Physical Journal B, 2015-10-07)It has recently become possible to record detailed social interactions in large social systems with high resolution. As we study these datasets, human social interactions display patterns that emerge at multiple time scales, ... -
Tourism Event Analytics with Mobile Phone Data
(ACM/IMS Transactions on Data Science, 2021-08)Tourism has been an increasingly significant contributor to the economy, society, and environment. Policy-making and research on tourism traditionally rely on surveys and economic datasets, which are based on small samples ... -
Towards a Comprehensive Design Approach for Complex Systems Architecture and Optimization
(2020-06-13)The main purpose of this paper is to introduce a comprehensive design approach for complex industrial systems architecture and optimization. We present an architectural design framework, useful to organize and structure ... -
Turkers of the World Unite: Multilevel In-Group Bias Among Crowdworkers on Amazon Mechanical Turk
(Social Psychological and Personality Science, 2020-03-01)Crowdsourcing has become an indispensable tool in the behavioral sciences. Often, the “crowd” is considered a black box for gathering impersonal but generalizable data. Researchers sometimes seem to forget that crowdworkers ... -
Understanding collective regularity in human mobility as a familiar stranger phenomenon
(Scientific Reports, 2021-09-30)Beyond the physical structures that contain daily routines, urban city dwellers repeatedly encounter strangers that similarly shape their environments. Familiar strangers are neither formal acquaintances nor completely ... -
Unique in the shopping mall: On the reidentifiability of credit card metadata
(Science, 2015-01-30)Large-scale data sets of human behavior have the potential to fundamentally transform the way we fight diseases, design cities, or perform research. Metadata, however, contain sensitive information. Understanding the privacy ... -
Universal resilience patterns in labor markets
(Nature Communications, 2021-03-30)Cities are the innovation centers of the US economy, but technological disruptions can exclude workers and inhibit a middle class. Therefore, urban policy must promote the jobs and skills that increase worker pay, create ... -
Unraveling the association between socioeconomic diversity and consumer price index in a tourism country
(Humanities and Social Sciences Communications volume, 2021-06-28)Diversity has tremendous value in modern society. Economic theories suggest that cultural and ethnic diversity may contribute to economic development and prosperity. To date, however, the correspondence between diversity ... -
User Profiling Based on Nonlinguistic Audio Data
(ACM Transactions on Information Systems, 2021-09-07)User profiling refers to inferring people’s attributes of interest (AoIs) like gender and occupation, which enables various applications ranging from personalized services to collective analyses. Massive nonlinguistic audio ... -
A Web-Based Collaborative Decision Support System for National Water Policy Planning
(2020-06-13)In this paper, we introduce a web-based collaborative decision support system (WCDSS) to enable stakeholders to evaluate and refine complex scenarios addressing the location, timing, and technology of water and related ... -
What Managers Need to Know About Data Exchanges
(MIT Sloan Management Review, 2020-06-09) -
Which factors affect the performance of technology business incubators in China? An entrepreneurial ecosystem perspective
(PLoS ONE, 2022-01-11)To examine which factors affect the performance of technology business incubators in China, the present study proposes an entrepreneurial ecosystem framework with four key areas, i.e., people, technology, capital, and ... -
Winning Models for Grade Point Average, Grit, and Layoff in the Fragile Families Challenge
(Socius: Sociological Research for a Dynamic World, 2019-09-10)In this article, the authors discuss and analyze their approach to the Fragile Families Challenge. The data consisted of more than 12,000 features (covariates) about the children and their parents, schools, and overall ...
