Winning a competitive research award decreases time to degree in bioscience PhD programs, but not for everyone

Alvero, A.; Pena, C.; Moore, A. R.; Barron, C. B.; Steele, L.; Eberle, S.; Botham, C. M.

doi:10.1101/2023.01.26.525758

Home/Archive/bioRxiv

bioRxiv · 10.1101/2023.01.26.525758

Winning a competitive research award decreases time to degree in bioscience PhD programs, but not for everyone

Alvero, A.·Pena, C.·Moore, A. R.·Barron, C. B.·Steele, L.·Eberle, S.·Botham, C. M.

View original source ↗Export metadata ↓

Abstract

Time to degree completion is an important metric of academic progress and success for doctoral students. It is also a common way for educational stakeholders to compare programs even if the content of the degree programs varies. But what types of behaviors and experiences are associated with faster times to degree? In this education article, we examine the relationship between receiving competitive research awards (e.g. grant writing) and time to degree for PhD students. We organize our analyses by student identities, specifically gender and underrepresented minority (URM) status, to examine differences in time to degree based on student demographics. Our dataset included students that graduated between academic years 2008-09 through 2018-19. We also interviewed students currently enrolled in these same programs. We find that URM women who won competitive research awards graduate faster than all other students who also won awards but also report lower levels of advisor support. We also find that URM women and all URM students tended to graduate faster compared to other groups of students who did not win awards. Students who reported feeling supported by their advisors, most of which reflected hands-on guidance through the writing process, in the interviews were more likely to apply for grants. Combined, these results highlight that writing grants and specific types of advisor support may influence faster times to degree for bioscience PhD students. This study suggests similar introspective analyses at other institutions and databases are needed.

Source connections

Published article ↗

Explore related subjects

scientific communication and education Preprint

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

Alvero, A., Pena, C., Moore, A. R., Barron, C. B., Steele, L., Eberle, S., Botham, C. M.. 2023-01-27. Winning a competitive research award decreases time to degree in bioscience PhD programs, but not for everyone. https://doi.org/10.1101/2023.01.26.525758

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

Evaluating Large Language Models as Tools to Navigate Researchers in Rapidly Evolving Research Landscapes: A Case Study in Cancer Drug Response Prediction

Large Language Models (LLMs) have emerged as promising tools for assisting researchers in automating and accelerating the synthesis of literature reviews. However, their reliability is a significant concern due to issues like factual inaccuracies and hallucinations. The key question is whether LLMs can reliably provide comprehensive, up-to-date overviews and analyses. This study evaluates the performance of three leading LLMs (OpenAI's ChatGPT, Google's Gemini, and DeepSeek) on the complex task of generating a comprehensive survey paper on deep learning for cancer Drug Response Prediction (DRP). By testing both standard and Deep Research (DR) / Deep Think (DT) modes of LLMs with prompts of varying detail, this paper assesses key academic dimensions, including reference management, content quality, and analytical depth. Key findings reveal that while DR modes of LLMs significantly improve reliability by eliminating hallucinations, performance variations exist across models and prompts. A trade-off between reference quantity and integration quality was observed, and even the best-performing models lacked the analytical depth of human experts, often requiring extensive human supervision. The study concludes that LLMs currently serve as powerful assistive tools but still cannot replace the critical validation and synthesis provided by human researchers. Choosing the best LLM to use depends on the task in hand, while several strategies can be implemented to improve the produced output.

scientific communication and education↗

bioRxiv2024

Trends in hoaxes of academic communication

Academic journals use peer review to weed out false information, but peer review and other editorial processes are normally confidential. Therefore, individuals sometimes create hoaxes to test whether editorial processes are as robust as they are claimed, or whether they are done at all. This article tracks the occurrence of hoaxes aimed at scholarly publishers and academic conferences since 2000. Since 2009, successful hoaxes usually appeared at a year of one or more a year, usually motivated by academics or journalists exposing so-called "predatory" journals. The apparent rise in the number of hoaxes reflects a lack of transparency in editorial processes at both legitimate and "predatory" journals. Reaction of academic communities to hoaxes varies widely depending on the perceived intent of the target of the hoaxes and whether the hoax demonstrates what the hoaxer claims.

scientific communication and education↗

bioRxiv2024

Capacity building needed to reap the benefits of access to biodiversity collections

SummaryO_LIThis research examines biodiversity specimens from two areas of the Caribbean to understand patterns of collection and the roles of the people involved. Using open data from the Global Biodiversity Information Facility (GBIF) and Wikidata, we aimed to uncover geographic and historical trends in specimen use. This study aims to provide concrete evidence to guide collaboration between collection-holding institutions and the communities that need their resources most. C_LIO_LIWe analysed biodiversity specimens from Montserrat and the Cayman Islands in three steps. First, we extracted specimen data from GBIF, disambiguated collector names, and linked them to unique biographical entries. Next, we connected collectors to their publications and specimens. Finally, we analysed the modern use of these specimens through citation data, mapping author affiliations and research themes. C_LIO_LISpecimens are predominantly housed in the Global North and were initially used by their collectors, whose focus was largely on taxonomy and biogeography. With digitisation, use of these collections remains concentrated in the Global North and covers a broader range of subjects, although Brazil and China stand out as significant users of digital collection data compared to other similar countries. C_LIO_LIThe availability of open digital data from collections in the Global North has led to a substantial increase in the reuse of these data across biodiversity science. Nonetheless, most research using these data is still conducted in the Global North. For the non-monetary benefits of digitisation to extend to the countries of origin, capacity building in the Global South is crucial, Open Data alone are insufficient. C_LI Societal Impact StatementDigital biodiversity data from herbaria and museums hold significant potential for nature conservation in the Global South, yet many regions, like Montserrat and the Cayman Islands in the Caribbean, are, for multiple reasons, unable to fully leverage this information. This lack of skills and resources limits local conservation efforts, showing the need for more investment in training, facilities, and expertise. Although past funding has helped improve coordination and build skills, our findings show that more work is needed to make sure conservation in these biodiverse areas can continue in the long term.

scientific communication and education↗