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Enregistrement W2907698210 · doi:10.1111/ejn.14320

Establishing online mentorship for early career researchers: Lessons from the Organization for Human Brain Mapping International Mentoring Programme

2018· editorial· en· W2907698210 sur OpenAlexaffabout
Natalia Bielczyk, Michele Veldsman, Ayaka Ando, Chiara Caldinelli, Meena M. Makary, Aki Nikolaidis, Marzia A. Scelsi, Melanie I. Stefan

Notice bibliographique

RevueEuropean Journal of Neuroscience · 2018
Typeeditorial
Langueen
DomainePsychology
ThématiqueMentoring and Academic Development
Établissements canadiensUniversité de MontréalInstitut Universitaire de Gériatrie de Montréal
Organismes subventionnairesEngineering and Physical Sciences Research Council
Mots-clésMentorshipMedical educationCareer developmentPsychologyMedicine

Résumé

récupéré en direct d'OpenAlex

Mentorship facilitates personal growth through pairing trainees with mentors who can share their expertise. In times of global integration, geographical proximity between mentors and mentees is relevant to a lesser degree. This has led to popularization of online mentoring programs. In this editorial, we introduce the history and architecture of the International Online Mentoring Programme organized by the Student and Postdoc Special Interest Group of the Organization for Human Brain Mapping. Mentorship in academia facilitates personal growth through pairing trainees with mentors who can share insight and expertise. Expertise can be purely academic, foucsed on work-life balance, personal branding and networking, or a general career advice. Mentoring has been shown to be beneficial to mentees, both in terms of objective research productivity (van Eck Peluchette & Jeanquart, 2000; Gardiner, Tiggemann, Kearns, & Marshall, 2007; Mundt, 2001; Muschallik & Pull, 2016) and subjective outcomes (e.g. self-perception as an academic, Gardiner et al., 2007; Ehrich, Hansford, & Tennent, 2004; Mundt, 2001; van Eck Peluchette & Jeanquart, 2000). Several institutions/organizations have formal in-person mentoring programmes that pair early- to mid-career researchers with mentors who are not their direct supervisors (Ehrich et al., 2004). With global integration in science, however, geographical proximity between mentors and mentees is relevant to a lesser degree. This phenomenon has led to the popularization of online mentoring programmes (Ensher, Heun, & Blanchard, 2003). Regardless of whether a mentoring programme is in-person or online, its success relies on its design (Long, 1997) and regular evaluations (Ehrich et al., 2004; Muschallik & Pull, 2016). In this editorial, we introduce the history and architecture of one such successful online mentoring programme: the International Online Mentoring Programme organized by the Student and Postdoc Special Interest Group (SP-SIG, https://www.ohbmtrainees.com/mentoring-programme/, www.ohbmtrainees.com) of the Organization for Human Brain Mapping (OHBM, www.humanbrainmapping.org). OHBM is an international society dedicated to using neuroimaging as a tool to discover the organization of the human brain. The mandate of the OHBM SP-SIG is to represent the interests of its early career researchers, which includes the planning/execution of a range of career development initiatives. A significant proportion (63%) of the OHBM community is early-career researchers: graduate students and postdoctoral fellows with less than 4 years of experience. In a recent interview, Dr. Marsel Mesulam, a founding member of OHBM, commented: “there is always this tremendous energy coming from young people, students, postdocs, and that's the driving force behind the society. It's always been that way. It was never top heavy” (Badhwar, 2017). Establishment of the SP-SIG was greenlighted by OHBM in 2014, following a proposal submitted by Dr. Sook-Lei Liew ( http://chan.usc.edu/faculty/directory/Sook-Lei_Liew), a postdoctoral fellow at the time (Figure 1). In the early years of the SP-SIG, negotiating better integration with OHBM central and having a voice at the senior executive level (i.e. OHBM Council) was crucial. In 2016, a mission of SP-SIG co-chair Dr. AmanPreet Badhwar ( https://simexp.github.io/lab-website/team.html) was to implement year-round avenues of online engagement with OHBM trainees (Figure 1). Dr. Badhwar strongly believed that an online platform would equalize trainee access to SP-SIG resources and reduce disparity due to geographic location, economic wealth, and/or ever-changing political climate. With help from JoAnn Taie, the OHBM executive director, she put forth a proposal to OHBM council requesting support for two new initiatives: (a) the International Online Mentoring Programme and (b) a Mentorship Symposium during the OHBM Annual Meeting. The SP-SIG was granted permission to host both events, and was provided with a small start-up budget. The SP-SIG launched these mentorship initiatives at the 2017 OHBM Annual Meeting (OHBM blog, 2017, Figure 1), under the joint guidance of Dr. Badhwar (Chair) and Dr. Michele Veldsman (Chair-Elect). The International Online Mentoring Programme was and remains fully non-profit, and neither participants nor coordinators receive any financial benefits for their involvement. In its first two rounds of signups the programme attracted greater than 450 participants from all around the world (Figure 2), with half of mentor-mentee pairs being able to meet in-person at the 2017 Annual Meeting. In recognition of the successes of both initiatives, the OHBM council has since doubled the SP-SIG's budget for mentoring activities. A formal evaluation of the International Online Mentoring Programme was implemented since its inception, with feedback sought on an annual basis from all participants, which has been overwhelmingly positive. We collected a feedback questionnaire from 82 participants of the programme after the completion of first round of the programme. Roughly, half of the participants met their mentoring partner during the OHBM annual meeting. On the scale 1–5, mentees gave their mentors average score of 4.06 (N = 62). Twenty-four participants declared to be positively surprised by their mentoring partner and two participants declared to be negatively surprised (for the reason that the matching was suboptimal in their opinion). More recently, we have started interviewing participants, and have publicly shared experiences from both sides of the mentoring relationship as part of an ongoing blog ging project (Bielczyk, 2018). It should be noted that the programme is constantly evolving and we continuously implement new solutions across the rounds of the programme, in response to the feedback received. Efficient strategies for matching mentors with mentees are not well explored to date (Bozeman & Feeney, 2008). In our case, we sought to minimize the demands on the participants, as well as allow relationships to be driven by the mentor-mentee partnership. With this in mind, the online application form is brief and requests the following information: contact/affiliation details, requested role (mentor, mentee, both), and number of years of professional experience, that is years spent in academia or industry upon completion of PhD. In addition, a short series of questions are posed to assess a mentee's mentoring needs, as well as career development topics a mentor feels comfortable to advise on (Box 1). Mentors are also asked to (a) specify a maximal number of mentees they are willing to mentor, (b) commit to a minimum of quarterly meetings with their mentees, and (c) commit to provide meaningful feedback on their mentee's CV and at least one application (e.g. fellowship or faculty position) upon mentee’s request. The matching algorithm used by the OHBM SP-SIG for the International Online Mentorship Programme has been kept simple, yet effective. Every mentee is assigned a mentor with at least 3 years additional professional experience. Mentees seeking jobs outside of academia are given priority for being matched with industry mentors. We also respect additional special requests from participants (e.g. trainee physicians often require mentorship from more experienced clinical academics). Since personal requests are taken into account, the matching process is semi-automatic. The programme coordinator first reviews the special requests and manually finds a match that satisfies the participants’ additional needs. In the second step of the matching process, data from the remaining participants are fed into a simple Python algorithm which automatically couples participants according to the following criteria: (a) at least 3 years difference in professional experience between a mentor and a mentee; (b) each mentee is paired with one mentor; (c) each mentor is assigned no more than the number of mentees they declared they are willing to accept. Post matching, mentors and mentees are given mutual contact information and mentees are encouraged to contact their mentor. Mentoring partnerships are given free rein to self-manage their relationship with regard to the schedule and scope of discussed topics. Interventions from the programme lead only take place when a first contact is not initiated, or when one partner asks for rematching. In the case of requests for rematching, this is exceptionally rare, with only two mentees requesting a rematch in our programme to date. In addition, mentoring pairs are encouraged to meet in-person at the OHBM annual meeting. Participants are given the option to re-apply for the programme at each new round to allow them to break unsuccessful partnerships or continue with their pairing if they are satisfied. All participants have an option to give feedback to the programme management in confidence. The OHBM board receives a report from the OHBM SP-SIG per annum, allowing the organization to track the overall progress of the programme (Figure 3). On the basis of our experience in designing and running the above-described mentoring programme, we put forth the following guidelines for launching a successful programme. The needs of the mentees should be foremost in the design and maintenance of an effective mentoring programme. Mentees will benefit most if they are encouraged to reflect on their needs in advance of applying to the programme and initiating a relationship with their mentor. Mentees should identify their expectations (Masters & Kreeger, 2017), and prepare an agenda before every meeting. The quality of the mentorship highly depends on the quality of this preparation (Iversen, Eady, & Wessely, 2014). It can help to collate a set of freely available, online preparatory materials for mentors and mentees. Ideally mentees will go on to become mentors in your programme. Early career researchers should thus be encouraged to mentor trainees junior to them in experience. Many early career researchers do not feel experienced enough to mentor and do not put themselves forward. This issue is often compounded for underrepresented groups. There is an outflow of PhD graduates towards industry (Kruger, 2018), and an associated demand for guidance from non-academic mentors. To facilitate successful transition between fields, mentoring programmes should include mentors from industry and other fields. Below we expand on this important point as it is a mistake to consider academia the traditional career path, when it in fact represents the minority of positions available to mentees. Schillebeeckx et al. (2013) reported a linear increase in the cumulative number of PhDs awarded in the fields of science and engineering from 1982 to 2011, while the number of faculty positions available in the same time interval stayed fundamentally constant. In 2010, The Royal Society analysed emerging trends in post-PhD employment sectors (The Royal Society, 2010). In the UK alone, only an estimated 0.45% of all PhD graduates are awarded a professorship, while 17% end up pursuing a research career in a non-academic setting, and a striking 53% embark on a career completely outside of science. In line with these statistics, we also saw an increase in the proportion of participants considering a career outside academia in our own mentoring programme (Figure 4 in Badhwar, Ando, Bielczyk, Scelsi, & Veldsman, 2018). Given these observations, an important responsibility of graduate training is to provide trainees exposure and preparation for careers outside of academia (e.g. industry, government) that currently are increasingly becoming available (Kruger, 2018). Similarly, mentorship programmes should recognize this shift and prepare themselves to better cater to individuals pursuing careers outside academia (Box 2). For example, mentors may want to make mentees better aware of how their own graduate work has provided them with transferable skills that can be used in both academic and non-academic career paths. How to best evaluate the success of a mentorship programme remains an open question. In the past, evaluation strategies have looked at both “objective” and “subjective” outcomes for mentees (and, to some extent, for mentors). Objective outcomes included numbers of research publications or grants produced (van Eck Peluchette & Jeanquart, 2000; Gardiner et al., 2007; Mundt, 2001; Muschallik & Pull, 2016). Subjective measures included self-reported changes in mentees’ work patterns, or feelings of being supported or satisfied with their career progress (van Eck Peluchette & Jeanquart, 2000; Ehrich et al., 2004; Gardiner et al., 2007; Mundt, 2001). While useful for some purposes, “objective” measures of academic success can be problematic in several ways. First, research productivity as measured by bibliometric indicators or grant income can vary a lot between subject areas (Bishop, 2014; Kreiman & Maunsell, 2011) and is complicated by other factors, such as gender (Bonham & Stefan, 2017; Bornmann, Mutz, & Daniel, 2007; King, Bergstrom, Correll, Jacquet, & West, 2017; West, Jacquet, King, Correll, & Bergstrom, 2013), social capital (Li, Liao, & Yen, 2013), and possibly even stochastic fluctuation (Michalska-Smith & Allesina, 2017). In addition, they may be an indicator of volume, but not necessarily of the quality of academic work (Michalska-Smith & Allesina, 2017). Second, success in academia is not a straight line (Way, Morgan, Clauset, & Larremore, 2017), and definitely not rapid. Many academics have talked about the role of failure (Haushofer, 2016; Stefan, 2010), and that it takes years to build a successful academic career. Most formal mentorship programmes are time-limited, but the impact of good mentoring will continue for years beyond the formal end of the mentoring relationship (Karcher, Kuperminc, Portwood, Sipe, & Taylor, 2006). There is, therefore, a need for long-term research on the impact of early-career mentoring on the future professional lives and career satisfaction of mentees. Crucially, this includes careers outside of academia. Defining success only in terms of success within academia is too short-sighted. Nowadays, the academic career pathway is no longer the default pathway (Kruger, 2018), and most science trainees go on to successful and fulfilling careers outside of academia (Turk-Bicakci, Berger, & Haxton, 2014). We need measures to evaluate the preparedness of mentees for careers outside of academia, and of measuring the impact of mentorship programmes on mentees’ success and satisfaction in a wide range of possible careers. In addition, it is important to evaluate the impact of mentorship programmes on mentors in order to understand what support structures they need, and how they can maximize the benefits of acting as mentors (Ghosh & Reio, 2013). Developing tools to assess the long-term impact of mentoring programmes both on mentees and mentors will provide insights into how programmes can be tailored for optimal impact. Moreover, one sign of success of any mentoring programme is attention in the community, and followers gained. Specifically, with respect to our mentoring programme, blog posts related to the SP-SIG's activities (Badhwar et al., 2018, OHBM 2017; Veldsman & Vij, 2017) are regularly published by the OHBM Communications Committee, and reach a diverse international audience. The readership includes OHBM members, non-member academics, as well as the general public. As a result, the SIGs activities, in particular, its focus on mentorship, has caught the attention of organizations worldwide, including the Canadian Consortium on Neurodegeneration in Aging (CCNA, http://ccna-ccnv.ca/). In particular, the Training and Capacity Building team of the CCNA, whose mission is to develop future research leaders in the area of age-related neurodegenerative conditions, is actively interested in putting together a Canadian mentorship program. The CCNA Trainee Society ( http://ccna-ccnv.ca/2018-trainee-society-executive-committee-members/) was thus officially established in 2018, and is being chaired by Dr. Badhwar, who hopes to adopt some of the SIG's mentoring principles to fit the diverse, and interdisciplinary needs of the CCNA trainees (e.g. specialties ranging from social sciences to health sciences). In order to be truly successful, mentoring programmes need to also consider questions around access, representation, and equality. Under-represented groups in Science, Technology, Engineering, and Mathematics (STEM) include women, people of colour, and people with disabilities (National Science Foundation, 2017), among others. They face challenges around systematic discrimination (O'Brien, McAbee, Hebl, & Rodgers, 2016), unconscious bias (Nosek et al., 2007), stereotype threat (Schmader, Johns, & Forbes, 2008), and a lack of role models (see, for instance, Gardiner et al., 2007). Mentoring programmes can help create a positive environment, provide contact to role models and support career development for scientists from under-represented groups. Indeed, specific mentoring programmes exist for under-represented groups, including women in academia (for an example, see Gardiner et al., 2007), or academics of colour (for an example, see Chan, 2008). While bespoke mentoring programmes are extremely important and useful, their existence does not take away responsibility for more general mentoring programmes to be mindful of the specific needs of minority scientists. Programmes that have been successful in this area should share best practice examples in order to help uncover helpful design elements. In the end, mentorship through one-on-one expert-guided discussion can be an incredible career accelerator and realizing its value will improve mentees’ overall development. Science is collaborative, creative, and heavily depends on the human element - which makes mentoring an integral part of research. We would like to thank to the Organization for Human Brain Mapping for supporting for this project, as well as to the fellow OHBM members for encouragement. We would also like to thank all current and past participants of the OHBM Online Mentoring Programme. For all the parties involved, this a non-profit activity. Therefore, we are grateful for the time and effort the participants have invested working on behalf of the programme. The authors declare no conflict of interest.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,008
score de la tête « metaresearch » (Gemma)0,018
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,990

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0080,018
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0030,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,221
Tête enseignante GPT0,406
Écart entre enseignants0,185 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations11
Publié2018
Routes d'admission2
Résumé présentoui

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Même revueEuropean Journal of NeuroscienceMême sujetMentoring and Academic DevelopmentTravaux en français237 207