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Publications, Talks & Comedy

Student at Stand-Up Skolen, 2024, with Anders Fjelsted and Torben Sangild together with ComedyZoo

Student at ComedySkolen, 2023, a collaboration between Valdemar Pustelnik, Jakob Svendsen & ComedyZoo

Interviewed for UniAvisen – talking about my own journey and the challenges of lacking Inclusion & (Neuro)Diversity

Speaker at the Intercultural Dynamics workshop – Teaching in the International Classroom (TLIC) and Bias Aware Teaching & Learning (BATL) SIG Events

Teaching in the International Classroom (TLIC) and Bias Aware Teaching and Learning (BATL) SIG Events

Talk for Department of Computer Science, University of Copenhagen – Department Chair & Professor Jakob Grue Simonsen, Dr. Scient. PhD, MBA says:

Jenny-Margrethe Vej is a dedicated and engaging professional who gave an excellent talk about issues facing our organization, and those like it, regarding diversity and equity issues among our student population. Jenny’s combination of skills as a seasoned IT professional and expert in diversity issues significantly elevated our internal discussions on the matter.

Presented our research article at NordiCHI ’22 & co-hosted our DOREEN game for the conference participants

GN IT Talk about my thesis results & why diversity and inclusion is important, together with hosting a discussion session on how GN can improve within these areas

First recipient of the GN IT COURAGE AWARD

Research ArticleNordiCHI ’22: Nordic Human-Computer Interaction Conference – October 2022 – Article No.: 86 – Pages 1–8
DOREEN: A Game of Provocations Creating New Ambitions for Equity in Computing Through Intertextual Design
(More about DOREEN and how you make your own die – check out the FemTech webpage)

ABSTRACT

We introduce DOREEN, a norm-critical story-telling game of provocations that displays women’s invisible experiences in computing to challenge barriers to inclusion. Following the principles of intertextual design, we collected empirical narratives from the past experiences of everyday women in computing and embedded these within the mechanics of role-playing storytelling games. With DOREEN we propose a playful way of exploring how gender roles, assumptions about computing, and social dynamics shape the experience of students – to reflect on the past with the aim of changing the future. DOREEN makes intertextual referencing to The Unbeatable SQUIRREL Girl aka Doreen Green, a computer science college student and a Marvel superhero who finds unorthodox ways (using wit and humor) to overcome barriers. DOREEN is a game to enjoy while engaging in critical reflection on belonging and well-being within computing. DOREEN is centered around an octahedron die and an adventure sheet inspired by tabletop role-playing gaming, emphasizing story-telling as a strategy for challenging norms and creating alternative narratives. The die design invites the players to reflect on how the probability of encountering limiting narratives and structural barriers can be higher or lower for different social groups. Finally, DOREEN is designed as the embodiment of all the people whose experiences, agency, and perspectives should be included in the journey of broadening participation in computing.

Thesis from Computer Science, University of Copenhagen, titled: Not Just a “Man In a Dress”: Voicing the Invisible Women of Computer Science

ABSTRACT

Denmark and other Western Countries is experiencing a wide gender gap when it comes to Computer Science and has been so for many years creating biases and exclusions when shaping the agenda for digital development, as well as challenging the industry in dire need of skilled individuals. In an effort to contribute to changing this narrative this thesis answers the research question: “What are the embedded stereotyped attitudes and beliefs on gender and Computer Science encountered by women students and what complexities shape the experiences of social belonging?”

To explore these embedded stereotyped beliefs and attitudes, ten former and current women students who started their Bachelor Program in the years between 2010 and 2015 were recruited for interviews. These ten women make up more than 12 % of the women who started at the Computer Science Bachelor Program during this period. The interviews were performed as Life Story Interviews with an interview guide based on the author’s own experiences as a Computer Science student in that same period. Through coding and thorough analysis of the interviews, 5 themes emerged which has formed the basis of this study, covering significant gender stereotypes about women and attitudes towards different aspects of Computer Science as a field, as well as how the social groups played a significant role in the women’s well-being.

What this thesis found was firstly that it is confirming that there are limited narratives about women that shape peoples experience, confirming existing research on this area, and we are extending this existing research by voicing these women’s experiences. Secondly, we produce and propose a new concept called Relational Visibility to describe the challenge these women face, balancing how to be both visible and invisible at the same time. And finally, we propose a framework which describes the multilayered complexity which this gender minority needs to navigate when starting in Computer Science.

Positions & Projects

Aspiring to become a Stand-Up Comedian, touring Open Mics in the Danish Stand-Up Community. Talks about the journey in the Danish Podcast ‘På vej med Vej‘.

Podcast host in the Danish Podcast ‘Diagnoseklubben‘. We share an honest personal perspective on a life with ADHD & Autism spiced up with facts, tips & tricks – and then we dazzle it with a little bit of dry Danish humor.

Part-time Research Assistant with focus on Neurodiversity at the Department of Computer Science, University of Copenhagen. Research is focused on Neurodiversity at Computer Science.

IT Project Manager at DLF. Responsible for getting a fragmented legacy IT landscape updated and into a modern & global solution – as well as leading a Joint Venture program

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