Women in STEM Symposium – AICCSA 2025

7th edition – October 21st, 2026 – 10 a.m. CET/11a.m. in Qatar

Context

Women in STEM is an initiative that examines, critiques, and reimagines scientific practice and communities through the lens of female values. Its aim is to offer an alternative perspective where diversity, equity, and inclusion shape the organization of scientific events and activities, creating space for voices that are often underrepresented: women in science, non-hegemonic masculinities in science, early-career researchers, and multidisciplinary viewpoints. It advocates for redefining success, valuing contributions beyond traditional quantitative metrics, and recognizing diverse forms of impactful achievements.

The initiative is led by women but aims to benefit the entire scientific community, grounded in the belief that DEI (Diversity, Equity, and Inclusion) values attract diverse talent. This diversity enhances knowledge production and expands our ability to tackle the complex challenges facing humanity today.


Program

  • 10 am – Keynote Talk: “From Sensing to Personalization: The A-Sense Route Toward Inclusive and Human-Centered Technologies” by Dr. Dena Al-Thani, Co-Founder of the A-sense Center of Excellence, and Head of the Information and Computing Technology Division at the College of Science and Engineering.
  • 10:45 am – Panel – Title: Women in STEM and AI: Catalysts for Structural Change

Women in STEM 2025 – Keynote

Dr. Dena Al-Thani is an Associate Professor, Co-Founder of the A-sense Center of Excellence, and Head of the Information and Computing Technology Division at the College of Science and Engineering. She received her Ph.D. in Computer Science from Queen Mary University of London. Her research interests include accessibility, inclusive design, and eHealth. Dr. Al-Thani actively publishes in top journals and presents at international conferences. She is a member of the WHO’s technical advisory group on assistive technology and the Arab ICT Accessibility Expert Group, led by Mada.

Title: From Sensing to Personalization: The A-Sense Route Toward Inclusive and Human-Centered Technologies

The Autism Sensing Center of Excellence (A-Sense) is a world-class research hub dedicated to advancing innovative technologies for the assessment and support of individuals with autism spectrum disorder (ASD). Through interdisciplinary collaboration across computing, medicine, and education, A-Sense develops solutions that empower autistic children and their families. The Center’s work combines artificial intelligence (AI) and state-of-the-art sensing technologies to enable the quantitative and personalized assessment of behavior, forming the foundation for adaptive and inclusive learning systems. This keynote will present an overview of the Center’s portfolio of projects that integrate AI, behavioral sensing, and human-centered design to create technologies that adapt to individual needs. A particular focus will be devoted to the Attention Assessment Project, which aims to objectively detect and interpret the attention of children with ASD which is a key factor influencing learning outcomes. While teachers often rely on subjective observations to gauge attention, A-Sense introduces a data-driven approach using machine learning and unobtrusive sensing technologies, such as webcams and eye-tracking devices, to analyze gaze direction, facial expressions, and head pose. The work from this project highlights the importance of personalization in model design—moving beyond the traditional one-size-fits-all paradigm toward systems that adapt to individual behaviors. By tracing the A-Sense journey from sensing to personalization, this talk underscores a broader vision: True inclusion is achieved when we design technologies that recognize and respond to the uniqueness of every individual.

Women in STEM 2025 – Panel

Panel: Women in STEM and AI: Catalysts for Structural Change

Moderators

Chirine Ghedira Guégan, IAE, University Jean Moulin, Lyon 3, France
Takoua Abdellatif, University of Sousse, Tunisia
Genoveva Vargas-Solar, CNRS, France

Hybrid mode 21st October 2025 11:45 CET
In situ, conference venue: Pullman Doha West Bay
– Online: click_here

Objective of the Panel

This panel examines how artificial intelligence, when paired with women’s leadership in STEM, can enhance women’s lives across various aspects, including health, education, work, and everyday experiences. Speakers from research, entrepreneurship, ethics, and social impact will explore how AI amplifies bias and where it can help close gaps. Together, they’ll highlight practical solutions, responsible design, and why women’s participation at every stage of AI development is essential to building inclusive technologies.

AI for all requires women at the table—designing, testing, and governing the tools that shape our lives.

Panelists

Dr. Dena Al-Thani College of Science and Engineering Qatar
Dr. Tatiana Kalganova Brunel University London
United Kingdom
Dr Rita Bencivenga University of Genoa
Italy
Dr. Elise Lavoué, Jean Moulin University Lyon 3
France
Dr. Athena Vakali Aristotle University
Greece
Dr. Is. Mutia Sobihah Universiti Sultan Zainal Abidin
Malaysia

Proposed Discussion Topics (in priority order)

  1. Inclusive Societal Impact
    • AI for women in rural/low-connectivity contexts or with limited formal training
    • Practical wins in daily life: safety (SOS/helpline tools), agriculture (yield/price forecasts), micro-credit & mobile banking, identity & document access, public-service chatbots
    • What it takes to scale: affordability, offline/low-data modes, local languages, trust
  2. Education & Knowledge Access
    • Accessible STEM learning: intelligent tutoring, adaptive practice, automatic translation, text-to-speech/speech-to-text, sign-language and dyslexia supports
    • On-ramps for non-specialists: short courses, micro-credentials, community labs, teacher training
    • Mitigating risks: misinformation, over-reliance, data privacy for minors
  3. Professional Equality
    • Fairer workplaces: detecting bias in hiring and promotion, pay-gap analytics, inclusive scheduling and safety policies
    • Tools that help women thrive: mentorship matching, skills mapping, flexible work optimization, return-to-work pathways
    • Accountability & governance: audits, transparency, worker voice, procurement standards

Teasing questions

  1. Cross-cutting openers
    • Where is AI already improving women’s daily lives today—and for whom is it not working yet?
    • In your experience, what’s one inclusion failure you’ve seen—and how would you fix it? (be specific: data, design, or deployment)
  2. Inclusive Societal Impact
    • What design choices (offline mode, local language, price point) most determine uptake in rural communities?
    • Share one example where a woman-led team built an AI tool that changed everyday outcomes (safety, income, access). What made it stick?
  3. Education & Knowledge Access
    • Which AI features most effectively lower barriers for girls/women entering STEM at different life stages?
    • How do we balance AI-enabled tutoring with teacher capacity, assessment integrity, and student privacy?
  4. Professional Equality
    • What’s the right way to audit algorithms for hiring and pay equity—internally vs. externally?
    • Which workplace tools measurably improve retention and advancement for women, and how do we avoid “fair-washing”?
  5. Forward-looking close
    • If you could change one policy, one product feature, and one dataset tomorrow to advance equity, what would they be?
    • How can women shape AI’s future—as designers, decision-makers, and data stewards—not just end-users?

Format

The panel will be organised into 3 rounds as follows:

  • Panellists will provide a 5 minutes statement addressing some of the teasing questions and/or complementay ones
  • Moderators will ask questions according to the initial statements and will open the floor to the audience
  • Panellists will conclude with a final statement about the take aways they consider important about the topic