2期

最新文章

• Proactive Resource Request for Disaster Response: A Deep Learning-Based Optimization Model AI翻译
  作者：Zhang, Hongzhe; Zhao, Xiaohang; Fang, Xiao; Chen, Bintong
  作者单位：The Chinese University of Hong Kong, Shenzhen; The Chinese University of Hong Kong, Shenzhen; Shanghai University of Finance & Economics; University of Delaware
  摘要：Disaster response is critical to save lives and reduce damages in the aftermath of a disaster. Fundamental to disaster response operations is the management of disaster relief resources. To this end, a local agency (e.g., a local emergency resource distribution center) collects demands from local communities affected by a disaster, dispatches available resources to meet the demands, and requests more resources from a central emergency management agency (e.g., the Federal Emergency Management A...
• Transporting Causal Effects Across Populations Using Structural Causal Modeling: An Illustration to Work-from-Home Productivity AI翻译
  作者：Park, Sujin; Tafti, Ali; Shmueli, Galit
  作者单位：University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital; National Tsing Hua University
  摘要：Transportability is a structural causal modeling approach aimed at transporting a causal effect from a randomized experimental study in one population to a different population where only observational data are available. It offers a way to overcome the practical constraints in inferring causal relationships, such as endogeneity concerns in observational data and the infeasibility of replicating certain experiments. Although transportability holds significant promise for research and practice,...
• A Computational Framework for Understanding Firm Communication During Disasters AI翻译
  作者：Yan, Bei; Mai, Feng; Wu, Chaojiang; Chen, Rui; Li, Xiaolin
  作者单位：Stevens Institute of Technology; University System of Ohio; Kent State University; Kent State University Kent; Kent State University Salem; Iowa State University; University System of Maryland; Towson University
  摘要：Large firms are leaders in disaster response and communication. We study how firms communicate on social media during various disasters and the relationship between their communication and public engagement using a computationally intensive theory construction framework. The framework incorporates a novel natural language processing (NLP) approach, Semantic Projection with Active Retrieval (SPAR), as a key component of the method lexicon. Drawing on the two dimensions (internal versus external...
• Integrated Decision Support for Disaster Risk Management: Aiding Preparedness and Response Decisions in Wildfire Management AI翻译
  作者：Suarez, Daniel; Gomez, Camilo; Medaglia, Andres L.; Akhavan-Tabatabaei, Raha; Grajales, Sthefania
  作者单位：Universidad de los Andes (Colombia); Sabanci University; Universitat Politecnica de Catalunya
  摘要：A central challenge in disaster risk management (DRM) is that there are key dependencies and uncertainty between the decisions made at the mitigation, preparedness, response, and recovery stages. Evaluating the impact of strategic decisions on the decisions and outcomes of subsequent stages is paramount to determine informed risk management policies (e.g., estimating the risk reduction that may be achieved by a mitigation strategy relative to its cost). Performing such analyses is difficult, n...
• Speak with One Voice? Examining Content Coordination and Social Media Engagement During Disasters AI翻译
  作者：Yoo, Changseung; Yoo, Eunae; Yan, Lu (Lucy); Pedraza-Martinez, Alfonso
  作者单位：McGill University; Indiana University System; Indiana University Bloomington; IU Kelley School of Business; University of Notre Dame
  摘要：Disaster relief organizations (DROs) utilize social media to provide information rapidly and broadly. Many DROs post content via multiple social media accounts within a single platform, on which each account represents a distinct entity (e.g., national headquarters, local branch). According to crisis communication theory, an organization's communication channels can coordinate by speaking with one voice. In a disaster context, this can be facilitated by accounts within the same DRO producing c...
• Explainable Deep Learning for False Information Identification: An Argumentation Theory Approach AI翻译
  作者：Lee, Kyuhan; Ram, Sudha
  作者单位：Korea University; University of Arizona
  摘要：In today's world, where online information is proliferating in an unprecedented way, a significant challenge is whether to believe the information we encounter. Ironically, this flood of information provides us with an opportunity to combat false claims by understanding their nature. That is, with the help of machine learning, it is now possible to effectively capture the characteristics of false information by analyzing massive amounts of false claims published online. These methods, however,...
• Resilience Messaging: The Effect of Governors' Social Media Communications on Community Compliance During a Public Health Crisis AI翻译
  作者：Mousavi, Reza; Gu, Bin
  作者单位：University of Virginia; Boston University
  摘要：When managing major disasters, authorities may ask residents to comply with certain guidelines that change community members' daily routines. In these situations, authorities often appeal to resilience, which refers to the ability to recover from challenges. In this study, we examine whether embedding resilience-related words (resilience messaging) in governors' social media posts increases community compliance with government guidelines in the context of the COVID-19 disaster. First, we condu...
• The Scope of Software Patent Protection in the Digital Age: Evidence from Alice AI翻译
  作者：Lin, Yu-Kai; Rai, Arun
  作者单位：University System of Georgia; Georgia State University
  摘要：Software is the foundation of the digital economy. The scope of software patent protection and the social and private value of software patenting are hence central to recent policy debates. The landmark 2014 U.S. Supreme Court ruling in Alice Corp v. CLS Bank had a profound impact on software patenting, drastically narrowing the scope of patent protection on software innovation. We theorize and provide empirical evidence that a narrower scope of software patent protection is associated with a ...
• Uncovering the Neural Processes of Privacy: A Neurally Informed Behavioral Intervention to Protect Information Privacy AI翻译
  作者：Reeck, Crystal; Guo, Xue; Dimoka, Angelika; Pavlou, Paul A.
  作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University; University of North Carolina; University of North Carolina Charlotte; University of Houston System; University of Houston
  摘要：People are increasingly aware that their information is being tracked online. Although people generally self-report privacy to be important to them, in practice they often disclose far more private information than their self-reported privacy preferences denote. This privacy paradox could be better understood by uncovering the neural processes underlying the privacy calculus: weighing the risks against the benefits of disclosure. We assess the neural processes shaping privacy tradeoffs to char...
• When the Clock Strikes: A Multimethod Investigation of On-the-Hour Effects in Online Learning AI翻译
  作者：Huang, Ni; Wang, Lingli; Hong, Yili; Lin, Lihui; Guo, Xunhua; Chen, Guoqing
  作者单位：University of Miami; Beijing University of Posts & Telecommunications; Tsinghua University
  摘要：Online learners often experience a lack of sustained motivation given the self paced nature of online learning, resulting in inefficiency and a high dropout rate. Therefore, it is important to explore options that help users optimize their learning behavior and improve their learning performance. This study proposes that on-the-hour time points as external temporal cues can significantly influence online learning outcomes. Using a multi method approach (i.e., archival data analysis, laboratory...