Learning from our AI Research and COVID journey: What does it take to have more inclusive and gender responsive AI-driven health research?
Carol Miller, and Marie-Katherine (Kate) Waller, two Gender at Work Associates, reflect on the key threads of this blog series that emerged from Gender at Work and research grantees’ collaboration in an 18-month gender action learning process in the AI4COVID program.
Sandra Patricia Martínez-Cabezas reflects on her research in the COLEV project, which focused on using responsible AI and data science to address COVID-19 challenges in Colombia. She recounts how her research team used health records of Venezuelan migrant populations crossing into Colombia to capture their health issues in national responses. In applying a gender lens, she explored the incompleteness of the data, how it was heavily skewed towards women and children and neglected men’s health.
Hélène Diéne partage son expérience de la pandémie, où elle travaillait dans une clinique COVID-19 comme assistante de recherche et tombe elle-même malade par la suite. Elle évoque ses craintes et ses incertitudes et explique comment ces expériences l’ont amenée à comprendre l’importance du genre et de l’intersectionnalité pour l’utiliser dans sa recherche doctorale sur les impacts désagrégés du COVID-19 afin d’être plus pertinente au regard du contexte.
Hélène Agnès Diéne shares her experiences during the pandemic, working in a COVID-19 clinic and later falling ill herself. She reflects on her fears and uncertainties, and how these experiences led her to understand the importance of considering gender differences in coping with illness. Learning about gender and intersectionality through her research role enabled her to realize she would use such a lens in her doctoral research on disaggregated impacts of COVID-19 to be more contextually relevant.
No Differences, Only Sames: Finding Common Ground in Nairobi During the AI4COVID Gender Action Learning Writeshop
Ethan Gilsdorf reflects on the way he feels most engaged and enriched when visiting places that are least like his native land. He describes the disorientation and excitement experienced while traveling, and how initial differences observed with participants in the workshop and in Nairobi transformed into a sense of commonality through the sharing of stories on experiences of gender roles.
Mahlet Hailemariam shares her experiences of juggling online work, challenged by unreliable internet connection and power blackouts while caring for her mother.
Jim Todd questions his own positionality as a white privileged male academic who becomes a mentor to a younger female academic of colour. In narrating this experience, he challenges himself and others to listen and learn from our differences and avoid thinking in ‘silos,’ that perpetuate discrimination and biases within academic and research environments.
What are the ethical dilemmas of trying to create unbiased and representative algorithms of women and men impacted by epidemics as a data scientist? Learn what Amelia Taylor has to say about it.
The AI Research and COVID: Journeys to Gender Equality and Inclusion series goes deep into this question through stories of experiences of, and efforts to tackle, gender inequality and exclusions.
Shortly after launching this blog series, Gender at Work participated in Women Deliver 2019 Conference held in Vancouver and attended by over 8,000 policy makers, researchers and activists from around the world. Several sessions, including three co-hosted by IDRC, explored the theme of gender and research. We were intrigued by how many of the ideas discussed at Women Deliver had been discussed in the TTI Gender Action Learning Project (GALP) and in the writeshop.