Research Award Research Articles

(Battery Division Student Research Award Sponsored by Mercedes-Benz Research & Development) Quantitative SEI-Based Descriptors for Li metal Liquid Electrolyte Design

Energy density requirements for next-generation batteries make the Li metal anode a key candidate to replace graphite in Li-ion batteries due to Li’s improved capacity (3,860 mAh/g vs. 372 mAh/g). However, Li anodes display lower Coulombic efficiency (CE, <99.9%) than graphite (>99.95%), resulting in faster loss of reversible Li over cycling. This shortfall derives from parasitic Li-electrolyte reactions that lead to accumulation of inactive Li0 and electrolyte-derived byproducts, which result in the formation of a native solid electrolyte interphase (SEI) on Li. Despite the importance of the SEI, its properties and composition are challenging to probe experimentally due to its exceedingly low amount (sub-μmolLi/cm2/cycle at >99% CE). Consequently, the framework on which the understanding of SEI composition and function was built has largely been qualitative, and descriptors to CE have overwhelmingly focused on electrolyte-, as opposed to SEI-based, metrics.To bridge this gap, this collective work focuses on advancing experimental methodologies to precisely quantify (1) functional properties of native SEIs on Li and (2) their chemical composition, both in order to explore their relationships with CE. First, we use a combination of self-consistent measurements involving EIS and CV to measure rates of Li+ exchange across these native interfaces, revealing that this functional property varies across electrolytes, increasing from low to high CE. These experiments further reveal an evolution of Li+ exchange with cycling unique to high-CE electrolytes and that is tightly linked to rate capability. In particular, we find that SEIs of high-CE electrolytes can support Li+ exchange rates in excess of 1 mA/cm2, and increasing to >>10 mA/cm2 after SEI formation and cycling. In order to (2) explore which SEI phases tend to be favored at high CE, we leveraged the quantitative power of analytical tools such as GC, NMR and ICP-AES to measure byproducts of SEI formation. We developed a custom operando GC experiment to measure and chemically-resolve gas evolution in situ during Li cycling. With sub-nmol/min resolution, these revealed, quantitatively, that SEI formation reactions that release CO or CO2, thus leaving behind a decarbonylated/decarboxylated byproduct in the SEI are associated with higher CE. We also expanded our chemical quantification studies to postmortem cells using a titration scheme that was capable of quantifying with ~nAh resolution SEI phases such as ROCO2Li, Li2C2, Li2C2, LiF and P-containing phases, in addition to the inactive Li0 that accumulates on the anode after cycling. In carbonate-based electrolytes, it was found that salt-derived phases (LiF and P) comprised only ~5% of the SEI, with solvent-derived products being the majority of the SEI. Furthermore, it was found that Li2C2, a previously-unmeasured phase on Li, shows a strong anti-correlation with CE. More recently, we further expanded our titration strategy to include other previously-unmeasured phases in leading high-CE electrolytes. Altogether, chemical quantification of the SEI reveals quantitative “SEI fingerprints” that are unique to each electrolyte. Taken together, these quantitative SEI-based descriptors enable a new avenue for electrolyte engineering, informed by a fundamental understanding of the “optimal” Li SEI and their associated capacity loss mechanisms at high CE.

(Electrodeposition Division Research Award) Electrodeposition as an Enabling Technology in Future Semiconductors, Energy Storage, and Sustainable Metal Production

Electrodeposition is a truly fascinating process. On the one hand, it is highly complex as it entails a myriad of intricately intertwined physiochemical events (transport, kinetics, nucleation, growth, to name a few). Despite this, to a practitioner, electrodeposition can be remarkably simple, easy to control, and safe to operate. Electrodeposition is also extremely versatile, enabling fabrication of various materials (metals, alloys, semiconductors), fabrication onto conductive or resistive substrates, facilitating intricate pattern formation, and providing selectivity in growth. These advantages make electrodeposition a process of choice in a broad range of technologically-important applications: batteries, semiconductor devices, electrometallurgy, and others.1-3 Morphology control is crucial in the industrial practice of electrodeposition. During metallization of nano-scale interconnects in advanced semiconductor devices, metal deposition with near atomic precision is required.1 Similarly, during operation of lithium metal rechargeable batteries, electrodeposition must be controlled to avoid dendritic growth during battery charging.2 Electrodeposition processes in high temperature molten salts, such as those used for electrowinning rare-earth metals, favor spongy deposits which can manifest in entrapment of impurities – here too, controlling morphology is central to overall electrowinning efficacy.3 In this talk, I will discuss and demonstrate how unprecedented morphology control can be achieved in electrodeposition. Such control leverages fundamental understanding of the electrochemical processes at the electrode-electrolyte interface. Specifically, by regulating the electrolyte properties, applied current or potential waveforms, and by employing ‘additives’, the diffusion-reaction processes can be controlled yielding desirable electrodeposit morphologies. Such design of electrodeposition processes is considerably aided by mathematical modeling. I will provide a few examples of how quantitative modeling enables improved process designs in aforementioned applications.During my odyssey in electrodeposition since 2001, I have been fortunate to have exceptional colleagues, collaborators, sponsors, mentors, students and friends, who have made this journey enjoyable and enriching. I am also very thankful for my affiliation to the Electrochemical Society and its electrodeposition division. In my talk, I will provide a few perspectives and anecdotes on how the ECS community has positively impacted me personally and professionally.

(Battery Division Student Research Award Sponsored by Mercedes-Benz Research & Development) Rationalizing Fast Lithium-ion Diffusion in Inorganic Lithium Superionic Conductors

All-solid-state batteries are gaining attention due to the potential advantage that solid electrolytes provide in terms of safety and energy density. Understanding the mechanism of fast lithium-ion diffusion in inorganic materials has become one of the key challenges in materials science. Among various factors that affect lithium mobility, the topology of the crystal structure strongly dictates which materials can accommodate fast lithium-ion motion. Despite this, the intrinsic mechanism that connects the lithium-ion diffusion to the structural feature of the crystal structure and motion of the non-diffusing framework remains unclear, hindering the rational design of novel fast-conducting solid electrolytes.This talk focuses on the fundamental understanding of the structure-property relationship of lithium-ionic conductivities. We first discuss the structural factors governing fast lithium-ion diffusion in oxide materials. We find that both the topology of the lithium-ion diffusion network as well as the connectivity of the non-diffusing framework strongly affect lithium-ions diffusion in oxide materials. Structural features that allow lithium superionic conductivity in oxide materials are identified, which led to the discovery of 16 novel fast lithium-ion conducting frameworks.In the second part of the talk, we present our statistical framework for understanding the correlation between anion-group rotational motion and lithium-ion translational motion. Using event-detection algorithms on long ab-initio molecular dynamics trajectories, we detect and differentiate various types of rotational motion of anion groups. This allows us to obtain a statistically rigorous understanding of how each type of anion group rotational motion affects lithium-ion diffusion events. These fundamental understandings provide design guidelines towards the development of fast-diffusing inorganic materials optimal for all-solid-state batteries.

(Battery Division Research Award) Advanced Characterization of Electrochemical Interfaces and Systems for Next-Generation Batteries

Lithium (Li) metal has been considered as an ideal anode for high-energy rechargeable Li batteries while Li nucleation and growth at the nano scale remains mysterious as to achieving reversible stripping and deposition. A few decades of research have been dedicated to this topic and we have seen breakthroughs in novel electrolytes in the last few years, where the efficiency of lithium deposition is exceeding 99.6%. Here, cryogenic-transmission electron microscopy (Cryo-TEM/Cryo-FIB) was used to reveal the evolving nanostructure of Li deposits at various transient states in the nucleation and growth process, in which a disorder-order phase transition was observed as a function of current density and deposition time. More importantly, the complementary techniques such as titration gas chromatography (TGC) reveals the important insights about the phase fraction of solid electrolyte interphases (SEI) and electrochemical deposited Li (EDLi). While cryo-EM has made significant contributions to enabling lithium metal anodes for batteries, its applications in the area of electrochemical interphases such as those in all solid state batteries, beyond lithium batteries are still in the infancy, therefore, I will discuss a few new perspectives about how future advanced imaging and spectroscopic techniques can help to accelerate the innovation of novel energy storage materials and architectures.

(Battery Division Postdoctoral Associate Research Award Sponsored by MTI Corporation and the Jiang Family Foundation) Aqueous Batteries for Grid-Scale Storage: Beyond Highly Concentrated Electrolytes

Aqueous electrolytes offer significant advantages over their organic counterparts, particularly for large-scale applications that prioritize non-flammability, scalability, and sustainability. However, the narrow electrochemical stability window of water imposes voltage limitations, resulting in low energy densities of aqueous batteries. Highly concentrated electrolytes have enabled high-voltage, mostly intercalation-type, aqueous battery chemistries, and over the past decade many additives, coatings, and highly soluble salts have been developed to manipulate the solution structure of the electrolyte and the interphasial chemistry at the electrode surfaces. However, the large amounts of specialized salts required in this approach, put into question whether GWh-scale storage is really the best application of this technology.Storage at such very large scale, however, is required for further integration of renewables and complete decarbonization of power grids. Flow batteries that decouple energy storage from power generation were developed to simplify scaling of very large batteries while maintaining cost and safety benefits of aqueous electrolytes. Here, the solubility of active materials governs the achievable energy density, which is typically an order of magnitude lower for aqueous flow batteries compared to state-of-the-art lithium-ion cells.Capitalizing on our experience with highly concentrated electrolytes and the impact of molecular symmetry and ion-pairing on electrolyte properties,1–5 we manipulate the solution structure of flow battery electrolytes to maximize active material concentration. We manipulate the hydrogen-bonding environment in the electrolyte and mediate anion-cation interactions via cation-engineering and additives, enabling more than four-fold higher concentrations for a series of metal-organic chelates and ferrocyanides than previously reported.6–8 We further developed a simple flame emission spectroscopy setup to track cation ratios in solution and study cation-dependent instabilities of presumably highly stable ferrocyanide anions.8,9 Achieving very high concentrations, however, presents a series of challenges for flow batteries. A two-molar lithium ferrocyanide electrolyte, for example, has an ionic strength comparable to a twenty-molar lithium chloride solution.8 Managing osmotic balance across the membrane thus becomes very challenging in a flow cell. Additionally, the high viscosity of concentrated electrolytes results in significant efficiency and power losses, suggesting that the “dissolve-as-much-as-possible” approach may not necessarily lead to better flow batteries.We thus studied the importance of energy density for real-world MWh-scale batteries by using satellite images to estimate the footprint of such large-scale deployments. We find that installations using lithium-ion batteries often have a comparable footprint to sodium-sulfur batteries and even demonstrator-stage flow batteries.10 This implies that low cell level energy density of flow batteries is not the key limitation of the technology, challenging the common narrative. For applications such as residential use, on the other hand, energy density certainly plays a critical role, and we discuss approaches that could enable much more compact systems.

CAREER DEVELOPMENT AWARDS AT NIA/NIH

Abstract NIA offers a variety of individual research career development (K) awards, which enable scientists to enhance their careers in biomedical research. Mentored career development (K) awards are effective tools at retaining investigators in research careers and contributing to their subsequent research success. Specifically, those who receive K awards are significantly more likely to have subsequent research publications and to apply for subsequent NIH research awards. In this presentation, Dr. Carranza will review different K programs offered at NIA, including those targeted at postdocs, early career faculty, and more senior faculty, as well as clinician-science focused awards.

Online Learning for Dual-Index Policies in Dual-Sourcing Systems

Problem definition: We consider a periodic-review dual-sourcing inventory system with a regular source (lower unit cost but longer lead time) and an expedited source (shorter lead time but higher unit cost) under carried-over supply and backlogged demand. Unlike existing literature, we assume that the firm does not have access to the demand distribution a priori and relies solely on past demand realizations. Even with complete information on the demand distribution, it is well known in the literature that the optimal inventory replenishment policy is complex and state dependent. Therefore, we focus our attention on a class of popular, easy-to-implement, and near-optimal heuristic policies called the dual-index policy. Methodology/results: The performance measure is the regret, defined as the cost difference of any feasible learning algorithm against the full-information optimal dual-index policy. We develop a nonparametric online learning algorithm that admits a regret upper bound of [Formula: see text], which matches the regret lower bound for any feasible learning algorithms up to a logarithmic factor. Our algorithm integrates stochastic bandits and sample average approximation techniques in an innovative way. As part of our regret analysis, we explicitly prove that the underlying Markov chain is ergodic and converges to its steady state exponentially fast via coupling arguments, which could be of independent interest. Managerial implications: Our work provides practitioners with an easy-to-implement, robust, and provably good online decision support system for managing a dual-sourcing inventory system. Funding: This work was supported by the Amazon Research Award. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.0323 .

Psi Chi/APA Edwin B. Newman Graduate Research Award.

The Psi Chi/APA Edwin B. Newman Graduate Research Award is given jointly by APA and Psi Chi for the best paper published or presented by a graduate student at the APA or Psi Chi convention or at any regional or state psychological association meeting held between January 1 and December 31 of the previous calendar year. For purposes of the award, research is broadly defined to include all forms of empirical psychology, such as experiments, correlational studies, historical studies, case histories, and evaluation studies. The Edwin B. Newman Graduate Research Award was established in 1979. The award was established to recognize researchers at the beginning of their professional lives and to commemorate both the 50th anniversary of Psi Chi and the 100th anniversary of psychology as a science (dating from the founding of Wundt's laboratory). It was named for Edwin B. Newman, the first national president of Psi Chi (1929) and one of its founders. He was a prolific researcher and a long-time chair of the Department of Psychology at Harvard University. Newman was a member of APA's Board of Directors, served as recording secretary of the board from 1962 to 1967 and was parliamentarian for the APA Council of Representatives for many years. He served both Psi Chi and APA in a distinguished manner for half a century. The Psi Chi/APA Edwin B. Newman Graduate Research Award is given jointly by APA and Psi Chi. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Speech for Intelligent cognition change tracking and DEtection of AD (SIDE‐AD) Research Program: SIDE‐AD

AbstractBackgroundThere is emerging evidence that speech could be a potential indicator and manifestation of early Alzheimer’s disease (AD) pathology. Symptomatic AD may change an individual’s language, especially certain elements in speech such as elaboration and attribution. Therefore, the University of Edinburgh and Sony Group Corporation are collaborating within the Sony Research Award Program to create the SIDE‐AD study which aims to develop digital speech‐based biomarkers technology for AD. The study is designed to assess disease status in the pre‐dementia stages in a real‐world at‐risk population in Brain Health Services.MethodSIDE‐AD is an observational longitudinal study developing speech biomarkers for use in neurodegenerative disease. Participants are recruited from Brain Health Services in Scotland with data collection starting in spring 2023. In the context of the SIDE‐AD study, we have developed a secured online data collection infrastructure for collecting voice data by prompting individuals to record a voice sample talking about their brain health. Individuals are asked to rate their mood, anxiety and apathy. The baseline speech biomarkers will be compared to the follow‐up visit’s speech recordings as well as to other variables from routinely collected health care data. The SIDE‐AD study will employ signal processing and machine learning technologies to automate the assessment of the respondents’ speech.ResultThe objective of the SIDE‐AD study is to recruit participants (n = 150) across the AD spectrum. The developed infrastructure will be used to collect data of participants with an objective of analysing baseline speech markers in relation to self‐reported mood, anxiety and apathy as well as clinical outcomes from patients’ health care records.ConclusionThe SIDE‐AD study is carrying out research and development of a speech‐based application recording data on individuals’ self‐perceived brain health. A secured online data collection infrastructure is developed to collect speech data with an objective to analyse speech data in combination with routinely available clinical data in Brain Health Clinics, enabling real world validation of speech‐based digital biomarkers for the early detection of AD. We plan to use automatic speech recognition and acoustic patterns for the automatic assessment of brain health status relevant to emergent AD‐specific speech biomarkers.

The methodology of the Agile Nudge University.

The Agile Nudge University is a National Institute on Aging-funded initiative to engineer a diverse, interdisciplinary network of scientists trained in Agile processes. Members of the network are trained and mentored in rapid, iterative, and adaptive problem-solving techniques to develop, implement, and disseminate evidence-based nudges capable of addressing health disparities and improving the care of people living with Alzheimer's disease and other related dementias (ADRD). Each Agile Nudge University cohort completes a year-long online program, biweekly coaching and mentoring sessions, monthly group-based problem-solving sessions, and receives access to a five-day Bootcamp and the Agile Nudge Resource Library. The Agile Nudge University is evaluated through participant feedback, competency surveys, and tracking of the funding, research awards, and promotions of participating scholars. The Agile Nudge University is compounding national innovation efforts in overcoming the gaps in the ADRD discovery-to-delivery translational cycle.

Varenicline for smoking cessation in individuals who smoke cigarettes and use electronic cigarettes: a double-blind, randomised, placebo-controlled phase 3 trial

The efficacy and safety of varenicline for smoking cessation among individuals who smoke tobacco cigarettes and also use electronic cigarettes (known e-cigarettes or vapes) have not been studied. We aimed to address this knowledge gap and examine predictors for smoking abstinence. In this double-blind, placebo-controlled, single-centre randomised trial in Italy, we enrolled adults who had used an e-cigarette daily for at least 12 months and who also smoked at least one tobacco cigarette per day and had a willingness to quit smoking. 155 participants were randomly assigned to receive either varenicline (n=78) or matched placebo (n=77). Varenicline (1mg, administered twice daily for 12 weeks) was given in combination with smoking cessation counseling in dual users with an intention to quit smoking. Participants in both treatment groups received the same smoking cessation counselling throughout the whole duration of the study. The trial consisted of a 12-week treatment phase followed by a 12-week follow-up. The primary efficacy endpoint was continuous abstinence rate (CAR) in weeks 4-12. Secondary efficacy endpoints were the CAR in weeks 4-24 and 7-day point prevalence of smoking abstinence at weeks 12 and 24. This study is registered in EUDRACT, 2016-000339-42. Between November 2018, and February 2020, 114 participants (61 in the varenicline group and 53 in the placebo group) completed the intervention phase at week 12 and 88 participants (52 in the varenicline group and 36 in the placebo group) completed the follow-up phase at week 24. CARs were significantly higher for the varenicline vs placebo at each time-point: 50.0% vs 16.9% (OR=4.9; 95% CI, 2.3-10.4; P<0.0001) between weeks 4 and 12; and 48.7% vs 14.3% (OR=5.7; 95% CI, 2.6-12.3; P<0.0001) between weeks 4 and 24. The 7-day point prevalence of smoking abstinence was also higher for the varenicline than placebo at each time point. Adverse events were rated as mild or moderate and rarely led to treatment discontinuation. Our findings indicate that inclusion of varenicline in a cessation programme for adults who smoke and use e-cigarettes with an intention to quit smoking could result in smoking abstinence without serious adverse events. In the absence of evidence from other smoking cessation methods, it could be useful to suggest the use of varenicline in cessation programmes specifically designed to help dual users stop smoking. Further research in larger and more generalisable populations is required to strengthen such a suggestion. Global Research Award for Nicotine Dependence, an independently reviewed competitive grants programmeme funded by Pfizer.

Trends in research grant applications and outcomes among medical students in the United Kingdom: a national self-reported cross-sectional survey.

Research funding disparities contribute to clinical academic workforce inequalities. Hence, our study explores the association between student demographics and research grant application rates and outcomes among UK medical students. This is a national multicentre cross-sectional survey of UK medical students in the 2020-21 academic year. Multiple zero-inflated negative binomial regression and generalized linear model (binomial distribution; logit link) were utilized to investigate the association between student demographics, number of grant applications submitted, and successful grant applications (yes or no). P-values less than a Bonferroni-corrected significance level of 0.05/36 = 0.0014 were considered to be statistically significant. A total of 1528 students participated from 36 medical schools. One hundred fifty-one respondents (9.9%) had applied for research grants. Black students submitted applications 2.90 times more often than white students [Incident rate ratio (IRR): 2.90, 95% confidence interval (CI): 1.37-6.16], with no ethnic disparity in the odds of successful applications. Gender did not influence application rates significantly (P = .248), but women were 4.61 times more likely to secure a grant than men [odds ratio: 4.61, 95% CI: 2.04-10.4]. Being a PubMed-indexed author was associated with increased grant application submission rates [IRR: 3.61, 95% CI: 2.20- 5.92] while conducting more research was associated with greater odds of securing a grant [odds ratio: 1.42, 95% CI: 1.17- 1.73]. Although black students submitted more applications, ethnicity did not influence success rates. Gender did not influence application rates, but women were more successful. These findings underscore the need for strategies supporting women and underrepresented students for continued academic achievement after graduation. What is already known on this topic Research funding for post-PhD researchers is believed to be a major driver of gender and ethnic inequalities in the clinical academic workforce.Students who receive research grants are more likely to receive postgraduate research grants.What this study adds Black students applied for more research grants than white students, but there were no ethnic differences in the odds of securing a grant.There were no gender differences in the research grant application rates. However, female students had greater odds of securing research grants compared to male students.How this study might affect research, practice or policy Medical schools should incorporate grant writing skills into the undergraduate research curriculum. Also, to sustain women's academic success post medical school, the NIHR and affiliates should provide research award extensions and childcare support for women when required.

Congratulations to the 2023 Excellence in Research and Presidential Scholar Award Winners

Congratulations to the 2023 Excellence in Research and Presidential Scholar Award Winners

Invited Symposium 1: Traumatic Brain Injury: Highlighting the Contributions of Dr. Harvey S. Levin Ph.D., ABPP-CN, FACSM 1946 - 2022

Invited Symposium 1: Traumatic Brain Injury: Highlighting the Contributions of Dr. Harvey S. Levin Ph.D., ABPP-CN, FACSM 1946 - 2022

Abstracts of A Presentation by the winners of The Japanese Society of Pathology, Pathology Research Award in 2023 (in program order).

Abstracts of A Presentation by the winners of The Japanese Society of Pathology, Pathology Research Award in 2023 (in program order).

11 Contributions of Cardiovascular Burden, Peripheral Inflammation, and Brain Integrity on Digital Clock Drawing Performance in Non-Demented Older Adults

Objective:Higher cardiovascular burden and peripheral inflammation are associated with small vessel vascular disease, a predominantly dysexecutive cognitive profile, and a higher likelihood of conversion to vascular dementia. The digital clock drawing test, a digitized version of a standard neuropsychological tool, is useful in identifying cognitive dysfunction related to vascular etiology. However, little is known about the specific cognitive implications of vascular risk, peripheral inflammation, and varying levels of overall brain integrity. The current study aimed to examine the role of cardiovascular burden, peripheral inflammation, and brain integrity on digitally acquired clock drawing latency and graphomotor metrics in non-demented older adults.Participants and Methods:The final prospectively recruited IRB-consented participant sample included 184 non-demented older adults (age: 69±6 years, education: 16±3 years, 46% female, 94% white) who completed digital clock drawing, vascular assessment, blood draw, and brain MRI. Digital clock drawing variables of interest included: total completion time (TCT), pre-first hand latency (PFHL), digit misplacement, hour hand distance from center, and clock face area (CFA). Cardiovascular burden was calculated using the revised version of the Framingham Stroke Risk Profile (FSRP-10). Peripheral inflammation was operationalized using interleukin (IL)-6, IL-8, IL-10, tumor necrosis factor alpha (TNF-a), and high sensitivity C-reactive protein (hsCRP). The brain integrity composite was comprised of bilateral entorhinal cortex volume, bilateral ventricular volume, and whole brain leukoaraiosis.Results:Over and above age and cognitive reserve, hierarchical regressions showed FSRP-10, inflammatory markers, and brain integrity explained an additional 13.3% of the variance in command TCT (p&lt; 0.001), with FSRP-10 (p=0.001), IL-10 (p= 0.019), and hsCRP (p= 0.019) as the main predictors in the model. FSRP-10, inflammatory markers, and brain integrity explained an additional 11.7% of the variance in command digit misplacement (p= 0.009), with findings largely driven by FSRP-10 (p&lt; 0.001).Conclusions:Overall, in non-demented older adults, subtle behavioral nuances seen in digital clock drawing metrics (i.e., total completion time and digit misplacement) are partly explained by cardiovascular burden, peripheral inflammation, and brain integrity over and above age and cognitive reserve. These nuanced behaviors on digitally acquired clock drawing may associate with an emergent disease process or overall vulnerability.Funding sources: Barber Fellowship; K07AG066813; R01 AG055337; R01 NR014810; American Psychological Foundation Dissertation Award; APA Dissertation Research Award

PEREGRINATIONS ON THE STUDY OF THE OPTICAL PROPERTIES OF NONSPHERICAL PARTICLES

PEREGRINATIONS ON THE STUDY OF THE OPTICAL PROPERTIES OF NONSPHERICAL PARTICLES

Announcement: Call for IPMA Research Awards

Announcement: Call for IPMA Research Awards

We Would Like to Announce the Winners of the 2022-2023 Small Group Research Awards: 2022-2023 Small Group Research Best Reviewer Award

We Would Like to Announce the Winners of the 2022-2023 Small Group Research Awards: 2022-2023 Small Group Research Best Reviewer Award

Awards in pathology-aman's world?

Awards provide their recipients with fame and recognition, and subsequently facilitate publications and acquisition of external funding through increased visibility. We hypothesize that despite increasing representation in pathology, women are underrepresented as awardees in the German Society of Pathology and consequently there is an associated imbalance between genders. Published data from the German Society of Pathology on female awardees during the period from 2000 to 2022 were examined. Only awards specifically dedicated to the field of pathology were considered. In addition, the publicly available data of the German Medical Association on gender and age distribution of pathologists in Germany were considered as reference material. Atotal of six different awards were included in the analysis. Among the 143 awardees across 150 individual awards in the period from 2000 to 2022, 55(38.4%) of the awardees were female compared to an average percentage of 31% of women working in the field of pathology in the 23-year period under consideration. Consequently, female awardees in pathology were not underrepresented when compared to the national figures on the proportion of women in the field of pathology. However, the distribution of female awardees across individual awards suggests that women were increasingly represented in less prestigious research and doctoral awards, while men made up alarge proportion of awardees of honorary awards (0% women) and prestigious awards (17% women).