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In this chapter, we present our ongoing efforts in developing and sustaining interdisciplinary STEM undergraduate programs at North Carolina A&T State University (NCA&T) – a state-supported HBCU and National Science Foundation (NSF) Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) Institutional Implementation Project grantee. Through three rounds of NSF HBCU-UP implementation grants, a concerted effort has been made in developing interdisciplinary STEM undergraduate research programs in geophysical and environmental science (in round 1), geospatial, computational, and information science (in round 2), and mathematical and computational biology (in round 3) on NCA&T campus. We first present a brief history and background information about the interdisciplinary STEM undergraduate research programs developed and sustained at NCA&T, giving rationales on how these programs had been conceived, and summarizing what have been achieved. Next we give a detailed description on the development of undergraduate research infrastructure including building research facilities through multiple and leveraged funding sources, and engaging a core of committed faculty mentors and research collaborators. We then present, as case studies, some sample interdisciplinary research projects in which STEM undergraduate students were engaged and project outcomes. Successes associated to our endeavor in developing undergraduate research programs as well as challenges and opportunities on implementing and sustaining these efforts are discussed. Finally, we discuss the impact of well-structured undergraduate research training on student success in terms of academic performance, graduation rate and continuing graduate study, and summarize many of the learnings we have gained from implementation and delivery of undergraduate research experiences at HBCUs.

Human beings spend their daily lives within the range of the atmospheric boundary layer, where airflow is affected by friction from Earth's surface. The airflow in this area is generally called wind. Strong wind occasionally causes severe damage to infrastructures and people because of its aerodynamic effects, but even weak and moderate winds can have serious environmental impacts on human society such as those seen with air-pollution problems and thermal effects.

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

This chapter explores the role of messages in knowledge networks. Messages are characterized in terms of the type of knowledge they represent and their attributes. Messages represent knowledge transactions in a network. The authors describe the type of message in terms of the knowledge capital it contains. The chapter considers what is involved in making all forms of knowledge capital available, accessible, and consumable in a network. Making knowledge available involves articulation – semantic, linguistic, visual, acoustic, and kinesthetic. Making knowledge accessible means encoding the knowledge, formatting, and packaging it as a message. The chapter also addresses factors that influence knowledge consumption, including coherence, completeness, verifiability, usefulness, relevance, orientation, freshness, and redundancy. The authors also provide examples of messaging human, structural, and relational capital.

This chapter is a position paper that explores issues relating to the design of new digital technologies that could enable even nonmusicians to create music they find meaningful and through which they can express their unique musical personality. We first propose criteria for evaluating the musical effectiveness of new tools, and then present a simple cognitive model to help explain key issues related to how humans are able to create and experience music. On this basis, we derive a set of guiding principles towards designing a new generation of tools that support creation. A major theoretical and practical challenge we raise is the need to bridge between mind and tool – that is, between the creator’s intents, which represent subjective musical experiences, and the computational formalisms required by digital tools in order to realize them. We also discuss the need for deep personalization on the levels of concepts, tools, and workflow. We finally propose components for a common framework that will enable the design of a new generation of tools that can explore many different approaches for expanding the bounds of personal creative expression

We review literature linking patterns of vocal accommodation in the paraverbal range of the voice to small group structures of status and dominance. We provide a thorough overview of the current state of vocal accommodation research, tracing the development of the model from its early focus on patterns of mutual vocal adaptation, to the current focus on structural factors producing patterns of unequal accommodation between group members. We also highlight gaps in existing knowledge and opportunities to contribute to the development of vocal accommodation as an unobtrusive, nonconscious measure of small group hierarchies.

We trace the empirical development of vocal accommodation as a measure of status and power, and discuss connections between vocal accommodation and two prominent theoretical frameworks: communication accommodation theory (CAT) and expectation states theory. We also provide readers with a guide for collecting and analyzing vocal data and for calculating two related measures of vocal accommodation.

Across multiple studies, vocal accommodation significantly predicts observers’ perceptions regarding interactants engaged in debates and interviews. Studies have specifically linked vocal accommodation to perceptions of relative power or dominance, but have not shown a relationship between accommodation and perceptions of prestige.

Vocal accommodation measures have clear applications for measuring and modeling group dynamics. More work is needed to understand how accommodation functions in clearly-defined status situations, how the magnitude of status differences affects the degree of accommodation inequality, and how vocal accommodation is related to other correlates of social status, including openness to influence and contributions to group tasks.

With a push toward inclusion of students with disabilities in the general education classroom, students who are d/Deaf or hard of hearing (DHH) are exposed to greater educational opportunities. Given the largely verbal nature of traditional classroom instruction, there has been a need for advancements in technology to provide more access to the material covered by teachers and in class discussions. In addition, the COVID-19 pandemic and the transition to virtual learning also brought to light many additional challenges for the DHH population, which can, in part, be lessened through technological advancements.