Data science at the World Health Summit

· Thomas Wood
Data science at the World Health Summit

Elevate Your Team with NLP Specialists

Unleash the potential of your NLP projects with the right talent. Post your job with us and attract candidates who are as passionate about natural language processing.

Hire NLP Experts

This week, at the World Health Summit 2023 in Berlin, Kristy Kade of the US based non-profit White Ribbon Alliance spoke to delegates at a World Health Organization event about the Women’s health and well-being: What do women want? campaign.

The campaign combined on-the-ground workers asking questions in diverse countries, to cutting edge AI and natural language processing technology, to data presented at the World Health Organization’s World Health Summit 2023 in Berlin.

Fast Data Science - London

Want to see the survey responses?

Visit the Women’s Health and Wellbeing dashboard, which uses NLP to categorise multilingual texts and which was presented to the World Health Organization in 2023.

Kristy shared that women want a holistic agenda that goes beyond reproductive and maternal health, despite the prominence and timeliness of sexual and reproductive health rights as a major issue in the World Health Summit 2023. They want systems change, including comprehensive elder care, universal health coverage, and economic empowerment, among many other issues. These issues are becoming more urgent amid the ongoing erosion of social safety nets and certain rights in the US and other countries.

In her speech, Kristy also called on the women’s health community to listen to everyday women and to work together to build a new women’s health agenda.

Watch the full video of Kristy’s speech below (starts at 1h02)

Other speakers at the event included Dr Eleanor Nwadinobi, president of the Medical Women’s International Association, who addressed issues from fetal sex selection in West Africa to sexual harassment of female surgeons in Britain and elsewhere, Dr Neil Datta, Secretary of the European Parliamentary Forum for Sexual and Reproductive Rights (EPF), who talked about the Contraception Atlas (which has been described as a “Eurovision” of contraception policy and a great use of data visualisation to drive public policy) and Michael Pergine of Organon.

The results of the analyses of the Women’s health and well-being campaign were unveiled at a side event at the World Health Summit titled “Listening Across the Life Course—Women’s Demands for their Health and Well-being” in Berlin. Other speakers at the special side event included:

How did we gather and analyse the data?

The White Ribbon Alliance team and partners around the world, asked women what they want to improve their health and wellbeing and gathered responses in free text and in respondents' native languages. This was a huge undertaking involving the coordination of partners including 🇿🇦Sex Workers Education & Advocacy Taskforce (SWEAT), 🇿🇦Muthande Society for the Aged (MUSA), 🇵🇭Coalition of Services of the Elderly (COSE), 🇮🇳HelpAge India, 🇮🇳DIYA Foundation, 🇲🇽Equidad de Género, 🇷🇸Red Cross Serbia, 🇬🇭DeSMAS, 🇧🇫SOS Jeunesse & Défis (SOS-JD), 🇰🇪WRA Kenya, 🇸🇳Le Collectif Dafadoy, 🇳🇬Nigeria Health Watch, 🇵🇰Forum for Safe Motherhood in Pakistan, 🇰🇭Child Helpline Cambodia, 🇪🇹Consortium of Reproductive Health Associations (CORHA) in Ethiopia, 🇮🇳Child In Need Institute India (CINI) and the 🇳🇬Generation Initiative for Women and Youth Network (GIWYN) in Nigeria.

These texts were analysed by an AI using a natural language processing model developed at Fast Data Science. Users around the world can now explore the results of the campaign in an easy-to-use NLP dashboard at https://explore.whiteribbonalliance.org/en/healthwellbeing. The current predictive accuracy for these responses is 84% but this varies across languages and it’s constantly improving.

You can read more about the event Listening Across the Life Course—Women’s Demands for their Health and Well-being here.

What can we learn from the data?

The data shows that women want a holistic approach to their health and well-being. They want access to quality healthcare, but they also want to be able to live in safe and healthy communities, have access to education and employment opportunities, and be able to participate fully in society.

The data also shows that there are significant disparities in women’s health and well-being around the world. Women in developing countries are more likely to die in childbirth, to experience violence and abuse, and to lack access to basic healthcare.

How can natural language processing help?

Natural language processing can be used to analyse large amounts of data to identify trends and patterns. This information can be used to develop more effective programs and policies to improve women’s health and well-being.

For example, the data from the Women’s health and well-being campaign can be used to identify the specific health needs of women in different parts of the world. This information can then be used to develop targeted programs and interventions and influence public policy.

Technical resources: how to reproduce our work

If you want to train your own multilingual NLU, our source code is public under MIT licence on the WRA’s Github repository. If you’re interested in learning more about multilingual natural language processing, read more here. You can read more about the challenges of language technology for under-resourced languages such as Shona (which we worked with on the Harmony project here.

Conclusion

The Women’s health and well-being campaign is an important step towards creating a world where all women have the opportunity to live healthy and fulfilling lives. The data from the campaign shows that women want a holistic approach to their health and well-being. They want access to quality healthcare, but they also want to be able to live in safe and healthy communities, have access to education and employment opportunities, and be able to participate fully in society.

Find Top NLP Talent!

Looking for experts in Natural Language Processing? Post your job openings with us and find your ideal candidate today!

Post a Job

Fast Data Science webinar on AI and NLP in pharmaceuticals
Data science

Fast Data Science webinar on AI and NLP in pharmaceuticals

On 29 May, Thomas Wood presented a webinar on how AI and Natural Language Processing (NLP) can transform clinical trials in the pharmaceutical industry.

AI in business and industry
Ai and societyData science

AI in business and industry

AI in business and industry Artificial intelligence (AI) is a hot topic in business, but many companies are unsure how to leverage it effectively.

Clinical trial cost modelling with NLP and AI
Data scienceDeep learning

Clinical trial cost modelling with NLP and AI

Modelling risk and cost in clinical trials with NLP Fast Data Science’s Clinical Trial Risk Tool Clinical trials are a vital part of bringing new drugs to market, but planning and running them can be a complex and expensive process.

What we can do for you

Transform Unstructured Data into Actionable Insights

Contact us