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1. Lived Experiences of African American Engineering Students at a PWI Through the Lens of Navigational Capital

   Damas, S. ; Benson, L. ( February 2022 , 2022 CoNECD (Collaborative Network for Engineering & Computing Diversity))

   There are significant disparities between the conferring of science, technology, engineering, and mathematics (STEM) bachelor’s degrees to minoritized groups and the number of STEM faculty that represent minoritized groups at four-year predominantly White institutions (PWIs). Studies show that as of 2019, African American faculty at PWIs have increased by only 2.3% in the last 20 years. This study explores the ways in which this imbalance affects minoritized students in engineering majors. Our research objective is to describe the ways in which African American students navigate their way to success in an engineering program at a PWI where the minoritized faculty representation is less than 10%. In this study, we define success as completion of an undergraduate degree and matriculation into a Ph.D. program. Research shows that African American students struggle with feeling like the “outsider within” in graduate programs and that the engineering culture can permeate from undergraduate to graduate programs. We address our research objective by conducting interviews using navigational capital as our theoretical framework, which can be defined as resilience, academic invulnerability, and skills. These three concepts come together to denote the journey of an individual as they achieve success in an environment not created with them in mind. Navigational capital has been applied in education contexts to study minoritized groups, and specifically in engineering education to study the persistence of students of color. Research on navigational capital often focuses on how participants acquire resources from others. There is a limited focus on the experience of the student as the individual agent exercising their own navigational capital. Drawing from and adapting the framework of navigational capital, this study provides rich descriptions of the lived experiences of African American students in an engineering program at a PWI as they navigated their way to academic success in a system that was not designed with them in mind. This pilot study took place at a research-intensive, land grant PWI in the southeastern United States. We recruited two students who identify as African American and are in the first year of their Ph.D. program in an engineering major. Our interview protocol was adapted from a related study about student motivation, identity, and sense of belonging in engineering. After transcribing interviews with these participants, we began our qualitative analysis with a priori coding, drawing from the framework of navigational capital, to identify the experiences, connections, involvement, and resources the participants tapped into as they maneuvered their way to success in an undergraduate engineering program at a PWI. To identify other aspects of the participants’ experiences that were not reflected in that framework, we also used open coding. The results showed that the participants tapped into their navigational capital when they used experiences, connections, involvement, and resources to be resilient, academically invulnerable, and skillful. They learned from experiences (theirs or others’), capitalized on their connections, positioned themselves through involvement, and used their resources to achieve success in their engineering program. The participants identified their experiences, connections, and involvement. For example, one participant who came from a blended family (African American and White) drew from the experiences she had with her blended family. Her experiences helped her to understand the cultures of Black and White people. She was able to turn that into a skill to connect with others at her PWI. The point at which she took her familial experiences to use as a skill to maneuver her way to success at a PWI was an example of her navigational capital. Another participant capitalized on his connections to develop academic invulnerability. He was able to build his connections by making meaningful relationships with his classmates. He knew the importance of having reliable people to be there for him when he encountered a topic he did not understand. He cultivated an environment through relationships with classmates that set him up to achieve academic invulnerability in his classes. The participants spoke least about how they used their resources. The few mentions of resources were not distinct enough to make any substantial connection to the factors that denote navigational capital. The participants spoke explicitly about the PWI culture in their engineering department. From open coding, we identified the theme that participants did not expect to have role models in their major that looked like them and went into their undergraduate experience with the understanding that they will be the distinct minority in their classes. They did not make notable mention of how a lack of minority faculty affected their success. Upon acceptance, they took on the challenge of being a racial minority in exchange for a well-recognized degree they felt would have more value compared to engineering programs at other universities. They identified ways they maneuvered around their expectation that they would not have representative role models through their use of navigational capital. Integrating knowledge from the framework of navigational capital and its existing applications in engineering and education allows us the opportunity to learn from African American students that have succeeded in engineering programs with low minority faculty representation. The future directions of this work are to outline strategies that could enhance the path of minoritized engineering students towards success and to lay a foundation for understanding the use of navigational capital by minoritized students in engineering at PWIs. Students at PWIs can benefit from understanding their own navigational capital to help them identify ways to successfully navigate educational institutions. Students’ awareness of their capacity to maintain high levels of achievement, their connections to networks that facilitate navigation, and their ability to draw from experiences to enhance resilience provide them with the agency to unleash the invisible factors of their potential to be innovators in their collegiate and work environments. 

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2. Preparation of Female and Minority PhD and Post-Docs for Careers in Engineering Academia (Experience)

   Makki, Nidaa ; Cutright, Teresa J. ; Coats, Linda T. ; Willits, Rebecca K. ; Stone, Tonya W. ; Williams, Lakiesha N. ; Rodrigues, Debora F. ( July 2022 , ASEE annual conference)

   Improving undergraduate STEM teaching for diverse students is dependent to some extent on increasing the representation of Black, Indigenous and People of Color (BIPOC) and women in the ranks of faculty in engineering departments. However, new faculty members, whether they had postdoctoral training or not, report that they were not adequately prepared for academia. To address this need, a professional development program was developed for underrepresented doctoral and postdoctoral students, which focused on various strategies to be successful in teaching, research and service aspects of academic positions. The program included an intensive two-week summer session, with follow-up mentoring during the academic year, and was conducted from 2017 to 2020 with three cohorts of fellows recruited from across the country. To evaluate the impact of the program on the participants’ perceptions of their preparation for academic careers, a follow up survey was sent in May 2021 to the three former cohorts of participants (n=61), and responses were received from 37 of them. The survey asked participants to reflect on areas that they felt most prepared for in their academic positions, and areas that they felt least prepared for. The survey also asked participants to discuss additional supports they would have liked to have been provided with to better prepare them given their current positions (academic, industry, etc.). Results from the survey indicated that 92% of participants found the professional development program prepared them for the responsibilities and expectations to succeed in academic positions. Over 90% agreed that the program prepared them for the application process for a tenure track search, and 89% agreed the program prepared them for the primary components of the startup package. In addition, participants reported that the program increased their preparation in developing teaching philosophy (100%), developing learning outcomes (97%), and using active learning strategies during teaching (91%). The majority agreed that the program helped prepare them to teach students with various cultural backgrounds, and to develop and use assessment strategies. Participants were also asked to discuss the impact of the Covid 19 pandemic on their career trajectory, and most of them reported being somewhat impacted (65%) to extremely impacted (29%). Participants reported few or no job openings, cancelations of interviews, delays in research which impacted the rate of completing degrees, and publications, which affected the participants’ application competitiveness. Furthermore, working from home and balancing family and academic responsibilities affected their productivity. Based on the survey results, funds were secured to provide an additional day of professional training to cover any items not addressed during summer training, as well as any issues, challenges, or concerns they might have encountered while fulfilling their academic position. Thirty-three ACADEME fellows have indicated that they will participate in the new professional development, held in May 2022. Results from this analysis, and preliminary topics and outcomes of the supplemental activities are discussed. The findings contribute to the literature by increasing knowledge of specific challenges that new faculty encounter and can inform future efforts to support minorities and women in engineering doctoral programs. 

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3. Preparation of Female and Minority PhD and Post-Docs for Careers in Engineering Academia (Experience)

   Makki, Nidaa ; Cutright, Teresa J. ; Coats, Linda T. ; Willits, Rebecca K. ; Stone, Tonya W. ; Williams, Lakiesha N. ; Rodrigues, Debora F. ( July 2022 , ASEE annual conference)

   Improving undergraduate STEM teaching for diverse students is dependent to some extent on increasing the representation of Black, Indigenous and People of Color (BIPOC) and women in the ranks of faculty in engineering departments. However, new faculty members, whether they had postdoctoral training or not, report that they were not adequately prepared for academia. To address this need, a professional development program was developed for underrepresented doctoral and postdoctoral students, which focused on various strategies to be successful in teaching, research and service aspects of academic positions. The program included an intensive two-week summer session, with follow-up mentoring during the academic year, and was conducted from 2017 to 2020 with three cohorts of fellows recruited from across the country. To evaluate the impact of the program on the participants’ perceptions of their preparation for academic careers, a follow up survey was sent in May 2021 to the three former cohorts of participants (n=61), and responses were received from 37 of them. The survey asked participants to reflect on areas that they felt most prepared for in their academic positions, and areas that they felt least prepared for. The survey also asked participants to discuss additional supports they would have liked to have been provided with to better prepare them given their current positions (academic, industry, etc.). Results from the survey indicated that 92% of participants found the professional development program prepared them for the responsibilities and expectations to succeed in academic positions. Over 90% agreed that the program prepared them for the application process for a tenure track search, and 89% agreed the program prepared them for the primary components of the startup package. In addition, participants reported that the program increased their preparation in developing teaching philosophy (100%), developing learning outcomes (97%), and using active learning strategies during teaching (91%). The majority agreed that the program helped prepare them to teach students with various cultural backgrounds, and to develop and use assessment strategies. Participants were also asked to discuss the impact of the Covid 19 pandemic on their career trajectory, and most of them reported being somewhat impacted (65%) to extremely impacted (29%). Participants reported few or no job openings, cancelations of interviews, delays in research which impacted the rate of completing degrees, and publications, which affected the participants’ application competitiveness. Furthermore, working from home and balancing family and academic responsibilities affected their productivity. Based on the survey results, funds were secured to provide an additional day of professional training to cover any items not addressed during summer training, as well as any issues, challenges, or concerns they might have encountered while fulfilling their academic position. Thirty-three ACADEME fellows have indicated that they will participate in the new professional development, held in May 2022. Results from this analysis, and preliminary topics and outcomes of the supplemental activities are discussed. The findings contribute to the literature by increasing knowledge of specific challenges that new faculty encounter and can inform future efforts to support minorities and women in engineering doctoral programs. 

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4. Limited-Complexity Receiver Design for Passive/Active MIMO Radar Detection

   https://doi.org/10.1109/TSP.2019.2911262  

   Li, Yang ; He, Qian ; Blum, Rick S. ( May 2019 , IEEE Transactions on Signal Processing)

   In this paper, we develop efficient methods for devising lower complexity receivers that can achieve performance close to the full complexity receivers for passive/active multiple-input multiple-output (MIMO) radar. The method employed eliminates some parts of the test statistic to lower either hardware or software complexity. For the case of spatially uncorrelated reflection coefficients and spatially white clutter-plus-noise, the test statistic requires the computation of a set of matched filters, each matched to a signal from a different transmitter. In this case, our method is equivalent to selecting a specific set of transmitters to provide optimum performance. In the more general case of correlated clutter-plus-noise and reflection coefficients, then the test statistic requires the computation of a larger set of matched filters. These matched filters correlate the clutter-plus-noise free signal received at one receive antenna due to the signal transmitted from some transmit antenna and the signal received at another receive antenna. In the more general case, our algorithm picks the best of these matched filters to implement when the total number of these matched filters one can implement is limited. 

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5. Brain structure and allelic associations in Alzheimer's disease

   https://doi.org/10.1111/cns.14073  

   Moon, Seok Woo ; Zhao, Lu ; Matloff, William ; Hobel, Sam ; Berger, Ryan ; Kwon, Daehong ; Kim, Jaebum ; Toga, Arthur W. ; Dinov, Ivo D. ; for the Alzheimer's Disease Neuroimaging Initiative ( December 2022 , CNS Neuroscience & Therapeutics)

   Alzheimer's disease (AD), the most prevalent form of dementia, affects 6.5 million Americans and over 50 million people globally. Clinical, genetic, and phenotypic studies of dementia provide some insights of the observed progressive neurodegenerative processes, however, the mechanisms underlying AD onset remain enigmatic.

   This paper examines late‐onset dementia‐related cognitive impairment utilizing neuroimaging‐genetics biomarker associations.

   The participants, ages 65–85, included 266 healthy controls (HC), 572 volunteers with mild cognitive impairment (MCI), and 188 Alzheimer's disease (AD) patients. Genotype dosage data for AD‐associated single nucleotide polymorphisms (SNPs) were extracted from the imputed ADNI genetics archive using sample‐major additive coding. Such 29 SNPs were selected, representing a subset of independent SNPs reported to be highly associated with AD in a recent AD meta‐GWAS study by Jansen and colleagues.

   We identified the significant correlations between the 29 genomic markers (GMs) and the 200 neuroimaging markers (NIMs). The odds ratios and relative risks for AD and MCI (relative to HC) were predicted using multinomial linear models.

   In the HC and MCI cohorts, mainly cortical thickness measures were associated with GMs, whereas the AD cohort exhibited different GM‐NIM relations. Network patterns within the HC and AD groups were distinct in cortical thickness, volume, and proportion of White to Gray Matter (pct), but not in the MCI cohort. Multinomial linear models of clinical diagnosis showed precisely the specific NIMs and GMs that were most impactful in discriminating between AD and HC, and between MCI and HC.

   This study suggests that advanced analytics provide mechanisms for exploring the interrelations between morphometric indicators and GMs. The findings may facilitate further clinical investigations of phenotypic associations that support deep systematic understanding of AD pathogenesis.

    

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