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Diversity and the cultural perspective: addressing the deficiency of people of color as decision makers in publishing and the lasting domino effect.
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State Public Nuisance Claims and Climate Change Adaptation
Get PDFThis Article explores the potential for state public nuisance claims to facilitate adaptation, resource protection, and other climate change responses by coastal communities in California. The California public nuisance actions represent just the latest chapter in efforts to spur responses to climate change and attribute responsibility for climate change through the common law. Part II of this Article describes the California public nuisance lawsuits and situates them in the context of common law actions directed against climate change. Part III considers the preliminary defenses that defendants have raised and could raise in the California public nuisance lawsuits, including the existence of state common law in this context, separation of powers and the political question doctrine, displacement and preemption, and standing. Part IV considers the potential merits of the plaintiffs’ public nuisance claims under California law
Platforms, the First Amendment and Online Speech: Regulating the Filters
Get PDFIn recent years, online platforms have given rise to multiple discussions about what their role is, what their role should be, and whether they should be regulated. The complex nature of these private entities makes it very challenging to place them in a single descriptive category with existing rules. In today’s information environment, social media platforms have become a platform press by providing hosting as well as navigation and delivery of public expression, much of which is done through machine learning algorithms. This article argues that there is a subset of algorithms that social media platforms use to filter public expression, which can be regulated without constitutional objections. A distinction is drawn between algorithms that curate speech for hosting purposes and those that curate for navigation purposes, and it is argued that content navigation algorithms, because of their function, deserve separate constitutional treatment. By analyzing the platforms’ functions independently from one another, this paper constructs a doctrinal and normative framework that can be used to navigate some of the complexity.
The First Amendment makes it problematic to interfere with how platforms decide what to host because algorithms that implement content moderation policies perform functions analogous to an editorial role when deciding whether content should be censored or allowed on the platform. Content navigation algorithms, on the other hand, do not face the same doctrinal challenges; they operate outside of the public discourse as mere information conduits and are thus not subject to core First Amendment doctrine. Their function is to facilitate the flow of information to an audience, which in turn participates in public discourse; if they have any constitutional status, it is derived from the value they provide to their audience as a delivery mechanism of information.
This article asserts that we should regulate content navigation algorithms to an extent. They undermine the notion of autonomous choice in the selection and consumption of content, and their role in today’s information environment is not aligned with a functioning marketplace of ideas and the prerequisites for citizens in a democratic society to perform their civic duties. The paper concludes that any regulation directed to content navigation algorithms should be subject to a lower standard of scrutiny, similar to the standard for commercial speech
Student Success: Lessons from the Center for Student Enterprise
Get PDFStudent success is critically important to students, universities, and society. Measuring outcomes of programs is essential in determining what works and what doesn’t. Programs that improve outcomes should be analyzed and adopted by educational institutions at large. Research suggests that business schools prioritize case analysis over practical application leading to ‘low-integrative thinking’ (McCord and Michaelsen, 2015), a lack of practical knowledge, and effective communication. Experiential learning opportunities have been shown to overcome these challenges faced by business school students as it engages students intellectually and emotionally. Furthermore, experiential learning opportunities develop students holistically and effectively, preparing them for the competitive business world outside. This research aims to examine the post-graduate employment opportunities and graduate program acceptance rates of students who have participated in experiential learning. The experiential learning is set at Pace University’s Center for Student Enterprise.
After evaluating the preference of professionals and students, the results showed that an undeniable majority of the participants prefer candidates with experiential learning experience on their resumes for a given job. This suggests a high correlation between employment with the Center for Student Enterprise and selection as the preferred candidate for hire. However, with regard to graduate program acceptance, noteworthy conclusions cannot be derived due to a low response rate. These results suggest that colleges and universities can contribute to engaging in more experiential learning opportunities for the success of their students. The current research provides an understanding of the relationship between experiential learning and student success. This relationship could be further explored by adopting a longitudinal study to identify the career paths of students who have been a part of experiential learning experiences
Political Consumerism and Branding: An Analysis of the Exploitation of Political Movements for Brand Equity and Profit
Get PDFThis article discusses the ways in which companies and brands project certain political affiliations to consumers. The exploitation or co-option of political or social movements in branding and advertising has been seen for decades, and it is now particularly prevalent since the election of President Trump. In order to be competitive in an era of political consumerism and an age when brands are expected to make a statement or take action regarding political movements, they are facing an increased pressure to integrate values into their brand identities in order to connect to consumers. In this essay, I ask how the commercialization and exploitation of political movements by large corporations prove to be a success for some brands and a failure for some others. Through a case study of the three separate brands—Pepsi, Procter and Gamble, and Nike—and the analysis of their advertisements, owned media, consumer reactions and comments, and previous brand activism/stances, I propose that there are three factors that must be present in order for the co-option of social movements in ads to be successful. These factors are authenticity, a brand\u27s commitment to the issue, and transparency.
Framework and Patterns for Machine Learning as Microservices Using Open Source Tools and Open Data
No full textMachine Learning is part of our everyday life, including social media analytics, online shopping, stocks performance prediction and other areas. Machine Learning is a complex process by itself. Explained at high level, takes data from around us and applies algorithms to it in order the generate intelligent outcomes using machine-based computation. There are multiple challenges with using and practicing Machine Learning, such as new technology adoption and handling constraints around accessing and using data, running computational workloads, using multiple cloud platforms, providers and proprietary technologies. This research explores new concepts and practical approach implementing and using machine learning in an easy, scalable, and sustainable way to solve common everyday problems. The research proposes adopting a machine learning framework defined using microservices architecture style, together with a series of patterns that provide practical guidance and are applicable for a broad set of machine learning tools and algorithms. Examples within this research refer to real estate market, specifically using open data available regarding single family real estate properties and real estate loans performance. Use cases and sample practices include real estate property data acquisition and real estate properties price prediction using machine learning patterns
Interpersonal Influences on Young Adults’ Suicidal Ideation: A Cross-Cultural Comparison
No full textSuicide continues to be a major mental health concern globally, with almost one million people dying by suicide every year (Nock et al., 2008). This study is guided by T. Joiner’s (2005) interpersonal-psychological theory of suicidal behavior, which proposes that the presence of two negative interpersonal states—perceived burdensomeness and thwarted belongingness—can potentially result in an individual’s inclination to die by suicide. Therefore, one of the purposes of this study is to examine the mediation effect of two interpersonal risk factors—perceived burdensomeness and thwarted belongingness—on the association between academic stress, perfectionistic family discrepancy, and suicidal ideation in a sample of American college students studying in the United States and Indian college students studying in India. In addition, because hopelessness has been found to be a stronger and more stable predictor for suicidal behavior than depression and substance use disorder (Kuo, Gallo, & Eaton, 2004), and has been proven one of the strongest predictor variables towards suicidal ideation in cross-cultural research (Stewart et al., 2005), it is assessed in the present study as an outcome variable along with suicidal ideation. Another important component of this study is to investigate the moderation effect of culture (individualistic culture in the United States as opposed to collectivistic culture in India) on the relationship between interpersonal factors and suicidal ideation in a sample of American college students and Indian college students. The aim here is to gather findings that will provide an increased understanding of the impact of interpersonal factors on this population from a clinical perspective, especially among students from collectivistic cultures