Evaluating the impact of a health hackathon on collaborative team science: a Social Network Analysis (SNA)

Fattah, Layla; Gabrilove, Janice; Bradley, Fay

doi:10.1017/cts.2020.46

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…Hackathons were used to deliver a variety of educational content, including healthcare innovation [ 18 ], social work education [ 36 ], and neuroscience [ 20 ]. The Mount Sinai Health Hackathon, which is a 48-hour team-based competition that occurs annually, was a crowdsourcing event that serves as a model for team science education [ 23 , 26 ]. This hackathon brought together individuals from different disciplines to work on a shared health problem, which fostered an environment of experiential learning through collaboration and communication.…”

Section: Resultsmentioning

confidence: 99%

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Crowdsourcing to support training for public health: A scoping review

Tahlil,

Nwaozuru,

Conserve

et al. 2023

PLOS Glob Public Health

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Crowdsourcing is an interactive process that has a group of individuals attempt to solve all or part of a problem and then share solutions with the public. Crowdsourcing is increasingly used to enhance training through developing learning materials and promoting mentorship. This scoping review aims to assess the literature on crowdsourcing for training in public health. We searched five medical and public health research databases using terms related to crowdsourcing and training. For this review, the concept of crowdsourcing included open calls, designathons, and other activities. We used a PRISMA checklist for scoping reviews. Each full-text was assessed by two independent reviewers. We identified 4,071 citations, and 74 studies were included in the scoping review. This included one study in a low-income country, 15 studies in middle-income countries, 35 studies in high-income countries, and 11 studies conducted in multiple countries of varying income levels (the country income level for 12 studies could not be ascertained). Nine studies used open calls, 35 used a hackathon, designathon or other “a-thon” event, and 30 used other crowdsourcing methods, such as citizen science programs and online creation platforms. In terms of crowdsourcing purpose, studies used crowdsourcing to educate participants (20 studies), develop learning materials (17 studies), enhance mentorship (13 studies) and identify trainees (9 studies). Fifteen studies used crowdsourcing for more than one training purpose. Thirty-four studies were done in-person, 31 were conducted virtually and nine used both meeting options for their crowdsourcing events. Seventeen studies generated open access materials. Our review found that crowdsourcing has been increasingly used to support public health training. This participatory approach can be a useful tool for training in a variety of settings and populations. Future research should investigate the impact of crowdsourcing on training outcomes.

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Section: Resultsmentioning

confidence: 99%

“…Twenty studies (27%) used crowdsourcing to enhance participants' education and capacitybuilding (Table 2) [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37]. Of these studies, 12 were solely conducted in middle-or highincome countries.…”

Section: Crowdsourcing To Educate Participantsmentioning

confidence: 99%

Crowdsourcing to support training for public health: A scoping review

Tahlil,

Nwaozuru,

Conserve

et al. 2023

PLOS Glob Public Health

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“…Importante observar que os benefícios do hackathon extrapolam o campo de aplicação. É possível notar os benefícios positivos relacionados à interação e conexão entre os participantes do evento, que forma uma rede interdisciplinar e contribui ao processo de inovação colaborativa entre participantes, que muitas vezes são de diferentes países (Fattah et al, 2021). Há também questões sobre motivação relacionadas aos participantes, com destaque positivo à experiência adquirida (Serek et al, 2020).…”

Section: Aplicações Diversas Do Hackathonunclassified

Hackathon as an instrument for innovation in collaborative networks: a bibliometric analysis

Macedo

Fernandes

Júnior

2022

Rev. Prod. Desenvolv.

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Objective: The objective of this study is to analyze hackathon contributions as an instrument for innovation in collaborative networks. Methodology: A bibliometry was performed in the Scopus and Web of Science bases through the Bibliometrix packages and the R Studio software. Publications analysis techniques were used describing the year and the group of origin (by Bradford Law), authorship analysis by the authors' relevance and their productivity (by Lotka Law), scientific contributions by country and collaboration between countries, Quotations of document with the cloud of word, as well as a thematic description of the hackathons universe. Results: An exponential increase in scientific hackathon publications from 2019 has been verified. Hackathon studies address and connect the theme mainly with innovation, collaboration, open data, education and covid-19. The increase of hackathon studies occurred during the pandemic period. Limitations: The study was delimited in two databases (Scopus and Web of Science), and in the English language. The expansion to other bases and languages can produce different results from the above, and represents a limitation of this study. Originality: The analyzes performed in this study made it possible to structuring the scientific literature on hackathon.

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“…Hence, growing interest has emerged in applying longitudinal network analysis to understand how teamwork and training processes deliver successful outcomes [e.g., 51]. However, most published work to date has been limited to descriptive analysis of longitudinal network data, rather than model-based analysis [e.g., [51][52][53][54].…”

Section: Significancementioning

confidence: 99%

Relationships between changing communication networks and changing perceptions of psychological safety in a team science setting: Analysis with actor-oriented social network models

Luo

Jeon

et al. 2022

PLoS ONE

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A growing evidence base suggests that complex healthcare problems are optimally tackled through cross-disciplinary collaboration that draws upon the expertise of diverse researchers. Yet, the influences and processes underlying effective teamwork among independent researchers are not well-understood, making it difficult to fully optimize the collaborative process. To address this gap in knowledge, we used the annual NIH mHealth Training Institutes as a testbed to develop stochastic actor-oriented models that explore the communicative interactions and psychological changes of its disciplinarily and geographically diverse participants. The models help investigate social influence and social selection effects to understand whether and how social network interactions influence perceptions of team psychological safety during the institute and how they may sway communications between participants. We found a degree of social selection effects: in particular years, scholars were likely to choose to communicate with those who had more dissimilar levels of psychological safety. We found evidence of social influence, in particular, from scholars with lower psychological safety levels and from scholars with reciprocated communications, although the sizes and directions of the social influences somewhat varied across years. The current study demonstrated the utility of stochastic actor-oriented models in understanding the team science process which can inform team science initiatives. The study results can contribute to theory-building about team science which acknowledges the importance of social influence and selection.

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Evaluating the impact of a health hackathon on collaborative team science: a Social Network Analysis (SNA)

Cited by 5 publications

References 15 publications

Crowdsourcing to support training for public health: A scoping review

Crowdsourcing to support training for public health: A scoping review

Hackathon as an instrument for innovation in collaborative networks: a bibliometric analysis

Relationships between changing communication networks and changing perceptions of psychological safety in a team science setting: Analysis with actor-oriented social network models

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