7. art, gender, children
• BALANSE IDUN From PhD to Professor
NFR 2019 – 2022, Letizia Jaccheri 1 ME
@IDUN_phdtoprof
• COST Action CA19122 Eugain 2020 – 2024
European Network for Gender Balance in
Informatics, Action Chair Letizia Jaccheri 1
ME 100+ participants @eugain19122
• MSCA ITN e-LADDA Language learning in the
age of digitalisation (2019 - 2024) Professor
Mila Vulcanova, 3,8 ME @ITNeLADDA
• Horizon CrAFt – Creating Actionable Futures
(2022-2025) Professor Annemie Wyckmans, 2
ME @CrAFt_NEB
Projects
8. Opening Keynote CHI 2022
• Dr. Kishonna Gray
University of Kentucky
• The Intersectional Gaming Project:
Reimagining Futures Through Gaming
9. Closing Keynote CHI 2022
• Dr. Payal Arora
Erasmus University Rotterdam
• FemWork: Critical Pivot towards Design for
Inclusive Labor Futures
Female technologies, venture capital funding, digital
story telling
10. Gender & Computer
Science
int i = 10;
if (i < 15)
System.out.println("10 is less than 15");
Gender and sex
Kjønn
Non-binary
#metoo 2017
Same-sex
marriage The
Netherlands
2001
Intersectionality
– triply
LGBT+ rights
性別
14. Europe Bachelor, Master, PhD
• At the Bachelor level 80% or more
of the students enrolling or
graduating in Informatics Bachelor
programs are male.
• At the Master level 80% of the
Master graduates in Austria, Belgium,
Czech Republic, Germany, Italy,
Lithuania, the Netherlands, Poland,
Portugal, Spain, Switzerland are male
• At the Ph.D. level, except for
Bulgaria, Romania, Estonia, Turkey, all
other countries have less than 25% of
women graduating from Informatics
Ph.D. programs
15. Scarcity of
role models
Engineering and Technology: on average, in
the whole of Europe, women take less than
15% of the full professor positions
Figures show that in 2016, an overwhelming
majority (83.3%) of ICT specialists employed
in the EU were men.
Skills and talent gap: 53% of European
employers say they face difficulties in
finding the right people with the right
qualifications.
16. Projects
• It's not enough what I did in the past - there is also
the future. Rita Levi Montalcini Nobel Prize Medicine
1986
17. Girl project ADA
2004 2019
7% 36%
Average %-share 5-year integrated Master
• Computer Sciences
• Communication Technologies
• Cybernetics and Robotics
• Electronics System design and innovation
www.ntnu.edu/girls
21. IDUN – from PhD to Professor
1 Mio. Euro 2019 – 2022
Background:
581 employees in scientific
positions – 22% female
125 professors – 13,8% female
Challenge:
• Too few women at master level
• Dropout from phd to professor
Idun Reiten, the first female professor at the Faculty of
Information Technology and Electrical Engineering,
Norwegian University of Science and Technology (NTNU)
https://www.ntnu.edu/idun
22. IDUN Scientific Mentor program
9 International professors as IDUN mentors
Nirmalie Wiratunga
(IDI team)
http://www.rgu.ac.uk/dms
taff/wiratunga-nirmalie/
Martha Larson
(IDI team)
https://www.ru.nl/english/
people/larson-m/
Darja Smite
(IDI team)
https://darjasmite.net/
Jana Jagerska (IES team)
https://en.uit.no/ansatte/person?p
_document_id=407454
Gro Klaboe (IEL team)
https://no.linkedin.com/in/gro-
kl%C3%A6boe-7b87741a
Toktam Mahmoodi
(IIK team)
https://www.kcl.ac.uk/people/tok
tam-mahmoodi
Anne Håkansson (ITK team)
https://en.uit.no/ansatte/person?p
_document_id=584195
Sibylle Schroll (IMF team)
University of Cologne
https://sites.google.com/site/sibylleschr
oll/
Laura Giarre
(IIR Ålesund – IDI Gjøvik
team)
https://giarre.wordpress.com/
24. EUGAIN Cost Action 19122
• How to have more girls choosing Informatics as their higher
education studies and profession.
• How to retain female students and assure they finish their studies
and start successful careers in the field.
• How to encourage more female Ph.D. and postdoctoral
researchers to remain in the academic career and apply for
professorships in Informatics departments.
• How to support and inspire young women in their careers and help
them to overcome the main hurdles that prevent women to reach
senior positions in the field.
• How to leverage from the experience of the partners in the
network to tackle the previous challenges and achieve progress
across more institutions and countries, and positive results that
are sustained on the longer term.
WG1: FROM SCHOOL
TO UNIVERSITY
WG2: FROM
BACHELOR/MASTER
STUDIES TO PH.D.
WG3: FROM PH.D.
TO PROFESSOR
WG4: COOPERATION
WITH INDUSTRY
AND SOCIETY
WG5: STRATEGY &
DISSEMINATION
The 38 COST Members are: Albania,
Austria, Belgium, Bosnia and
Herzegovina, Bulgaria, Croatia, Cyprus,
Czech Republic, Denmark, Estonia,
Finland, France, Germany, Greece,
Hungary, Iceland, Ireland, Italy, Latvia,
Lithuania, Luxembourg, Malta, the
Republic of Moldova, Montenegro, The
Netherlands, The Republic of North
Macedonia, Norway, Poland, Portugal,
Romania, Serbia, Slovakia, Slovenia,
Spain, Sweden, Switzerland, Turkey,
United Kingdom.
25. Research
• I have never tried that before so I
think i should definitely be able to
do that - Swedish author Astrid
Lindgren
26. Margaret Burnet
and Anita Sarma
• Gender Inclusiveness
• Magnifier https://gendermag.org/
• Product attribute
27. A. Serebrenik
• Alexander Serebrenik
• Gender Diversity and
Inclusion and Software
Engineering (team, process)
28. EUGAIN School
• The EUGAIN-STS 2022 will focus on
how to conduct research studies.
Participants will acquire knowledge,
skills, and competencies needed to
design gender and gender-sensitive
studies in Informatics.
29. Kodeløypa
• Papavlasopoulou, S., Giannakos, M. N., & Jaccheri, L. (2016, June).
Creative programming experiences for teenagers: attitudes,
performance and gender differences. In Proceedings of the The 15th
International Conference on Interaction Design and Children (pp.
565-570).
30. Digital story telling
• Rubegni, E., Landoni, M.,
Malinverni, L., & Jaccheri, L.
(2022). Raising Awareness of
Stereotyping Through
Collaborative Digital Storytelling:
Design for Change with and for
Children. International Journal of
Human-Computer Studies, 157,
102727.
31. UN Goal 5
• Achieve gender equality and empower all women and
girls. Ending all discrimination against women and girls is
not only a basic human right, it's crucial for sustainable
future; it's proven that empowering women and girls
helps economic growth and development.
32. Software engineering
and gender
• Brevik, J., Jaccheri, L., & Vidal, J. C. T.
(2019, June). Designing software to
prevent child marriage globally.
In Proceedings of the 18th ACM
International Conference on
Interaction Design and Children (pp.
452-457).
33. Literature review (SMS)
• Patón-Romero, J. D., Vinuesa, R.,
Jaccheri, L., & Baldassarre, M. T.
Artificial Intelligence and Gender
Equality: A Systematic Mapping
Study. In: 15th International
Conference on ICT, Society and
Human Beings (ICT 2022), 2022.
• 29 studies
Can we develop AI proposals that help
gender equality?
Gender by AI
gender AI
Gender in AI
34. Addressing Gender Inequality in Software
Development Processes (1)
• Agile manifesto was written
by 17 male, neither Scrum,
XP, Kanban include practices
for increasing gender
equality
• SMS (15 studies) and 12
interviews
RQ2: What gender equality targets are addressed by IT
processes?
36. Modules
• Anti-Bias Training Module
Gender Bias
• Feedback Module to improve self-efficacy
Imposter Syndrome
• Coding Standard Module
Code Review
• Work Allocation Module for Allocating all types of tasks collectively
Gender Stereotypes
• Clarification of Requirements Module
• Extended User Testing Module
Women’s Impact on Software Development
37. ACM Women
Chapter
• Why Should You Start an ACM-W Chapter at Your School?
• “101 Ideas for ACM-W Chapters”
• Activities to educate women about the opportunities in the
computing field
• Engage women students in exciting computing activities;
• Connect students with women leaders in the field;
• Encourage students to promote the field of computing to young girls;
• Promote the activities of ACM
• Network with other ACM-W Chapter leaders and members
• Mentor chapter members and pre-college girls
• Broaden the computing community
• Extend the “conversation” about why it’s important to increase the
number of women in computing
https://women.acm.org/chapter/
https://trondheimwomen.acm.org/home/
38. Future
• Women are underrepresented in computer science and it is
important to do something for social, economic, and
environment reasons
• EUGAIN Eugain.eu
• Apply to enter a Working group
• STSM and Virtual Grants – apply!
• ITC Grants – apply!
• ACM Celebration of Women in Computing: womENcourage
https://womencourage.acm.org September 2022
• Get sponsors, get involvement
39. Advice
• Know your numbers and Set your goals
• Keep and empower the female you have
• LGBT+ (LGBT stands for lesbian, gay, bisexual and transgender/transsexual people)
• Look for funds, connections, projects
• Celebrate
• Document
• Everything is research
40. Thanks to
• This work is co-funded by the Research Council of Norway under
BALANSE - Programme on Gender Balance in Senior Positions and
Research Management and EUGAIN COST Action 19122
41. The Distinguished Speakers Program
is made possible by
For additional information, please visit http://dsp.acm.org/
42. Conferences
• Grace Hopper Celebration https://ghc.anitab.org
• ACM ACM Celebration of Women in Computing womENcourage (Cyprus
2022)
• IEEE Women in Engineering http://ieee-wie-ilc.org/
43. Projects
• CS4All initiative, School of Computing, TU Dublin,
www.dit.ie/computing/studentresources
• Irène Curie Fellowship at TU Eindhoven. https://www.tue.nl/en/working-at-
tue/scientific-staff/irene-curie-fellowship
• Gender Initiative Chalmers https://www.chalmers.se/en/about-
chalmers/Chalmers-for-a-sustainable-future/initiatives-for-gender-
equality/gender-initiative-for-excellence/Pages/default.aspx
• EQUAL-IST Project. https://equal-ist.eu
• NFR BBI UiT
• Minerva Award Informatics Europe
44. Policy documents & white papers
• ec.europa.eu
• SHE Figures 2021 (352 pages)
• EU Report of the Expert Group “Innovation through Gender” 2013
• Unesco.org
• I'd blush if I could: closing gender divides in digital skills through education
• ELSEVIER
• Gender Report 2020: The researcher journey through a gender lens
• Informatics Europe
• https://www.informatics-europe.org/publications.html
45. International Networks
• Informatics Europe WIRE https://www.informatics-europe.org/working-
groups/women-in-icst-research-and-education.html -> EUGAIN
• ACM Women in Computing Europe. https://europe.acm.org/acm-we
• European Centre for Women and Technology. http://www.ecwt.eu
• CEPIS Women in ICT Task Force.
https://www.cepis.org/index.jsp?p=1142&n=2909
46. References
• BURNETT, Margaret, et al. GenderMag: A method for evaluating software's gender inclusiveness. Interacting with Computers, 2016, 28.6:
760-787.
• Vasilescu, B., Capiluppi, A., & Serebrenik, A. (2012, December). Gender, representation and online participation: A quantitative study of
stackoverflow. In 2012 International Conference on Social Informatics (pp. 332-338). IEEE.
• Trifonova A, Jaccheri L, Bergaust K. Software engineering issues in interactive installation art. International Journal of Arts and
Technology. 2008 Jan 1;1(1):43-65.
• Brevik J, Jaccheri L, Vidal JC. Designing software to prevent child marriage globally. In Proceedings of the 18th ACM International
Conference on Interaction Design and Children 2019 Jun 12 (pp. 452-457).
• Rubegni E, Landoni M, De Angeli A, Jaccheri L. Detecting gender stereotypes in children digital StoryTelling. InProceedings of the 18th
ACM International Conference on Interaction Design and Children 2019 Jun 12 (pp. 386-393).
• Papavlasopoulou S, Giannakos MN, Jaccheri L. Creative programming experiences for teenagers: attitudes, performance and gender
differences. InProceedings of the The 15th International Conference on Interaction Design and Children 2016 Jun 21 (pp. 565-570).
• Jaccheri L, Pereira C, Fast S. Gender Issues in Computer Science: Lessons Learnt and Reflections for the Future. In2020 22nd
International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) 2020 Sep 1 (pp. 9-16). IEEE.
• Wiken Wilson, A. & Patón-Romero, J. D. Gender Equality in Tech Entrepreneurship: A Systematic Mapping Study. In: 3rd Workshop on
Gender Equality, Diversity, and Inclusion in Software Engineering (GE@ICSE 2022) at the 44th International Conference on Software
Engineering (ICSE 2022), 2022.
• Patón-Romero, J. D., Vinuesa, R., Jaccheri, L., & Baldassarre, M. T. Artificial Intelligence and Gender Equality: A Systematic Mapping
Study. In: 15th International Conference on ICT, Society and Human Beings (ICT 2022), 2022.
Hinweis der Redaktion
The university of Pisa was funded in 1343 when scientists were looking at the stars and trying to count.
Once upon a time in 1960 the first italian computer was built in Pisa. It was built 500 meters from my house and even if nobody in my family …
When I graduated in 1988
•PhDSoftware Engineering Politecnicodi Torino 1995
•In Norway as exchangestudent in 1989 –supervisor R. Conradi
•Programmer for twoyearsin late 80’
•Professor at NTNU since2002 (40000 students)
•Department head from 2013 to 2017
•IndependentDirectorof Reply SPA (now10000 employees) in 2015-2018
•Twogenderequalityprizesin 2021
•ODA network
•NTNU gender
•Activistfor my values: gender, art, climate
•New European Bauhaus, Positive City ExChange@Annemie Wyckmans
When I look back and when I look forward, I see that the goal that has motivated my research is the will to understand the relation between art and software. Art is the same as life, and communication between human beings. Software is the language to communicate between human beings and computers.
Art and science have in common a goal of trying to do something newer and unexplored with respect of what we have done before.
Art and science are very different in that the subject is science should be as distint as possible from the researcher while the artist uses herself and her feelings as a medium and as a message
I am not sure if I am an artist or a scientist but I do not care to be defined.
During the years I have being writing several scientific papers, teaching several courses, supervising students. I also love to write for the popular dissemination, expecially for children and young ones. You find most of what I have written on my blog. Most of the information is in English, something in Italian, or Norwegian. The Doormaid books is also translated to other languages, like Chinese, I would love to translate info your language Urdu, if anybody is interested, you should contact me, it would be fun.
Experts in Teams is a playground for all students of NTNU, by fostering inderdisciplinarity
Netflix 10% internet
Less than 20% female students and 10% of female professors
In recent years, femtech – ‘female technologies’ has received increased attention and venture capital funding, with some celebrating this as a feminist approach to design. While commendable in opening spaces for other genders, these efforts are tethered to the healthcare industry, narrowing the scope and potential of inclusive design.
This talk broadens these conceptions by drawing from user-research of women ‘gig’ workers in the Global South as they organize themselves to navigate tech platforms and engage with the various design innovations that mediate their work and life worlds. These research efforts are driven by FemLab, a decolonial and co-design initiative that situate at the center the voices of the marginalized workers at the bottom of the global value chain in the design and building of digital storytelling campaigns for inclusive labor futures.
How do we understand gender?
Probably If I had put a computer science concept, like if, or while, or goto, it would be simpler to share the same understanding.
gender as a social construction (as opposed to sex, which is by birth) (it: genere, sesso – no:
gender as a non-binary term (as opposed to what it used to be: binary male vs female)
recent steps (correlated)
in the women's rights movement #metoo started in 2017
as well as the LGBTQ rights movement, while the first gay movement started more than 100 years ago, The Netherlands was the first country to allow same-sex marriage in 2001.
defining one's pronouns has become trendy (she/her)
non-binary acceptance of gender
intersectionality, that is, that our identities have several layers and they influence one another --> people who are not only women, but also LGBTQ and of color, are triply underprivileged and left out of rights not only in everyday life but in digital services as well.
gender equality charts in the EU or over the world and Gender Gap Index
education + social stereotypes --> girls' barriers to get into IT and CS
due to women's lack, and the lack of diversity, in IT teams --> bias in designing products due to a lack of diversity, for ex. HCI, AI, etc.
this creates usability problems, tech issues, discrimination, the spread of bias, etc.
It is crucial to underline that taking gender into account in tech is not only a human rights issue, but an economic and technological need.
The Gender Gap Index quantified the gaps between men and women across four subindexes: economic participation and opportunity, educational attainment, health and survival, and political empowerment.
Data for Informatics only is not available at the European level, however, a loose parallel can be drawn from data for Engineering and Technology where on average, in the whole of Europe, women take less than 15% of the full professor positions [SHE Figures, 2018].
The very low number of women reaching senior academic positions results in a scarcity of successful female role models to influence the new generations. To be a distinct minority in academia also results in the overload of invitations and requests (conferences talks, committees, administrative department roles, etc.), which penalizes women's careers, impacting negatively their research productivity, their work-life balance, their personal life, and health.
For more girls in STEM we need to tell the girls at high scool – or earlier – whar sort of jobs are waiting for you on the other end. And inform that there are jobs. Lots of them in this secotr. And all these companies - + 30 more have strategies and goals at top level – to work with gender balance – they all want more women staff. So working together with companies in the sector is important.
And to work with media – to let the girls our there know what sort of jobs these studies lead to. Interesting, well paid – they also onsist of working in teams, with people – and why it is so iportant with balance.
Background and challenges: see slide
By bringing the focus and awareness to diversity and equality, among other aspects also in gender, with projects like IDUN, we aim to keep our faculty attractive for our students and staff. Because we all strive and grow best in a diverse environment with a great variety of role models around us. Our ultimate goal is to give an important impulse towards a cultural change. That encompasses the power structures, communication processes and awareness of the gender related challenges.
The IDUN project has been named after Idun Reiten, Professor Emerita, the first female professor at the current IE faculty.
IDUN began August 1, 2019, with the goal that by the end of 2022, we will see an increase to at least 15 - 20% women at all levels.
It enables software practitioners (e.g., developers, managers, UX professionals) find gender-inclusivity "bugs" in their software, and then fix the bugs they find.
M. Guizani, L. Letaw, M. Burnett and A. Sarma, "Gender Inclusivity as a Quality Requirement: Practices and Pitfalls," in IEEE Software, vol. 37, no. 6, pp. 7-11, Nov.-Dec. 2020, doi: 10.1109/MS.2020.3019540.
M. Vorvoreanu, L. Zhang, Y. Huang, C. Hilderbrand, Z. Steine-Hanson, and M. Burnett. 2019. From Gender Biases to Gender-Inclusive Design: An Empirical Investigation. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). Association for Computing Machinery, New York, NY, USA, Paper 53, 1–14. https://doi.org/10.1145/3290605.3300283
Why should we care for communication?
Research projects based on empirical studies - the subjects of our experiments and case studies, it is important that they represent both males and females.
Kodeløypa is a project that we started in 2014 that build on computing and art to address the goal 4 and 5. We invite each Friday to our department a new class from the ground school. Children come to experience artistic robot programming. We collect rich data to be able to improve knowledge and tools for programming for children. In this specific investigation, we have collected data by eye tracking and analyzed it using ML.
Cosa vuol dire gender e perche’ si parla di gender. Mi rifaccio ai 17 goals delle nazioni unite e in particolare al goal 5. fermare la discriminazione contro le donne e le ragazze e’ un diritto umano e inoltre e’ dimostrato che dando potere alle donne si aiuta la crescita economica e lo sviluppo. Vorrei potermi concentrare su quel «e’ provato» ma non ho risultati concreti e vi voglio mostrare un esempio aneddotico che avrete gia’ visto.
People decide requirements
People develop solutions for people
People Interact with systems
Question: who decides the
requirements and for which people?
in gender equality and AI we are faced with two perspectives:
Gender by AI: in which AI provides the necessary tools to achieve gender equality through different contexts (i.e., AI as an enabler).
Gender in AI: in which AI itself produces a negative impact on gender equality (e.g., lack of balance during the development of a system) and, therefore, said impact must be reduced (i.e., AI as a producer).
Focus on Gender by AI.Although there is a high level of equality in the number of studies that deal with Gender by AIand Gender in AI, in recent years the main focus has been the development of studies related to Gender by AI. This could be due to the greater ease of developing a specific technology to address an aspect related to gender equality (such as, e.g., an AI device that detects dangerous situations for women) than, e.g., change the business/management processes that guide organizations when developing new AI proposals so that they follow a set of best practices that respect gender equality. Undoubtedly, the latter is more complicated, because it is not only necessary to understand both fields to develop useful and applicable best practices for most contexts, but also a high number of practical cases and the involvement of external actors who allow validation of these practices are needed. Therefore, the fact that the focus is currently on Gender by AIis anissue that can generate a lot of controversy, since the “cart is being put before the horse” and the question arises as to whether AI proposals that help gender equality can actually be developed, when in AI itself and in all the processes that surround it (i.e., the basis) there is no such equality.
While some of the participants felt that the battle for gender equality belongs to the past and that one today focuses on each person’s individuality, others had personal experiences with challenges like gender bias