Page 18 - Enakost, pravičnost in vključevalnost spolov v akademskem okolju

Lut Mergaert Vplivni dejavniki enakosti spolov: ocenjevanje institucionalne zmogljivosti
Yellow Window, Belgija v raziskovalnih in visokošolskih ustanovah
Yellow Window, Belgium Model dejavnikov vpliva (Mergaert, Cacace in Linková 2022, glej https://doi.org
lut.mergaert@yellowwindow.com /10.3390/socsci11090379) je celovit okvir, zasnovan za ocenjevanje in krepitev in-
stitucionalnih zmogljivosti za doseganje trajnostne enakosti spolov v raziskoval-
Panagiota Polykarpou
nih in visokošolskih okoljih. Model preusmerja osredotočenost z intervencij na in-
Yellow Window, Belgija
dividualni ravni na sistemski pristop, pri čemer poudarja potrebo po strukturnih
Yellow Window, Belgium
spremembah znotraj institucij. Model opredeljuje dvanajst vplivnih dejavnikov, ki
panagiota.polykarpou@yellowwindow.com
so ključni za učinkovito institucionalizacijo enakosti spolov, vključno z zavezano-
stjo vodstva, dodeljevanjem virov, s sodelovanjem deležnikov in z oblikovanjem
politik na podlagi podatkov. Vsak dejavnik je nadalje razdeljen na kazalnike, ki
omogočajo niansirano oceno trenutnega stanja in napredka institucije skozi čas.
Zaradi vsestranskosti modela je primeren za samoocenjevanje s strani institucij,
pa tudi za zunanje evalvacije, saj zagotavlja jasno in strukturirano pot za dosega-
nje ciljev enakosti spolov. Z osredotočanjem na ponavljajoče se, nelinearne spre-
membe in procese učenja model obravnava kompleksnost ter kontekstualne raz-
like, značilne za različna institucionalna okolja. Predstavitev bo na kratko razložila
ozadjeinrazvojmodeladejavnikovvpliva,predenbopodrobnejepredstavilanje-
govo uporabo, pri čemer pa bo poudarila njegov potencial kot orodje za spodbu-
janje refleksije, učenja in pristne institucionalne preobrazbe v smeri enakosti spo-
lov. Med predstavitvijo bo prikazano orodje, ki kaže njegovo praktično uporabo
in učinkovitost.
Ključne besede: enakost spolov, institucionalne spremembe, zmogljivost, ocenje-
vanje, spremljanje

Gender Equality Impact Drivers: Assessing Institutional Capacity
in Research and Higher Education Institutions
The Impact Drivers model (Mergaert, Cacace, and Linkova 2022, see https://doi
.org/10.3390/socsci11090379) is a comprehensive framework designed to assess
and enhance institutional capacity for achieving sustainable gender equality
in research and higher education settings. This model shifts the focus from
individual-level interventions to a systemic approach, emphasising the need
for structural change within institutions. The model identifies twelve key impact
drivers that are crucial for the effective institutionalisation of gender equality, in-
cluding, among others, leadership commitment, resource allocation, stakeholder
engagement, and data-driven policy-making. Each driver is further broken down
into indicators that allow for a nuanced assessment of an institution’s current
state and progress over time. The model’s versatility makes it suitable for self-
Enakost, pravičnost in vključevalnost
spolov v akademskem okolju assessment by institutions as well as for external evaluations, providing a clear
Povzetki drugega posveta and structured pathway to achieve gender equality goals. By focusing on itera-
oenakosti spolovzavključujočo tive, non-linear change and learning processes, the model addresses the com-
univerzo in družbo
plexities and contextual differences inherent in diverse institutional landscapes.
Koper, 15. november 2024 This presentation will briefly explain the background and development of the
Impact Drivers model, before zooming in on its application, highlighting its po-
Gender Equality, Equity and Inclusivity
tential as a tool for fostering reflection, learning and genuine institutional trans-
in Academia
Abstracts of the Second Symposium formation in the direction of gender equality. During the presentation, the tool
on Gender Equality for an Inclusive will be demonstrated to showcase its practical application and effectiveness.
University and Society
Keywords: gender equality, institutional change, capability, assessment, monitor-
Koper, 15 November 2024
ing

https://doi.org/10.26493/978-961-293-394-4.10 18