This event is co-organized with the One Health Student Society as part of its annual lecture series exploring interdisciplinary approaches to global health and sustainability.
The session will open with a presentation by Ms. Nour Barnat, providing an overview of recent global trade insights and UNCTAD’s data work. Building on her previous talk at the ISOHA Conference, she will illustrate how statistics and data-driven analysis can help us understand complex environmental and societal challenges — particularly those at the One Health interface, where human, animal, and environmental health intersect.
This will be followed by a presentation by Ms. Petra Kynclova, who will introduce UNCTAD’s plastic and non-plastic substitute databases, explaining how these tools and classifications inform policymaking — notably in the context of the INC-5 process addressing plastic pollution.
Next, Mr. Ludovic Arnaud will present UNCTAD’s biodiversity and ocean economy databases, highlighting their contribution to global frameworks such as the Kunming–Montreal Global Biodiversity Framework and their policy relevance for the 5th UN Ocean Forum and 3rd UN Ocean Conference (2025).
The session will conclude with a global Q&A and closing remarks, providing an opportunity for open discussion and reflections on how data and statistics can bridge scientific knowledge and policy action on critical sustainability issues such as plastic pollution, climate change, and ocean health.
Objectives
- To demonstrate how statistics can inform and inspire action on planetary health challenges.
- To explore environmental, economic, and marine indicators that reveal the interconnections between human activity and ecosystem well-being.
- To highlight the importance of interdisciplinary collaboration between statistical, environmental, and health sciences.
- To encourage data-driven awareness among students and professionals from veterinary, medical, biological, and creative backgrounds.
Audience
The event will bring together participants from veterinary medicine, public health, environmental sciences, economics, and data analytics, as well as students and academics interested in the role of statistics in sustainability.
Expected Outcome
Participants will gain a clearer understanding of how data and statistics contribute to addressing global environmental and health challenges within the One Health framework.
The session aims to foster dialogue across disciplines and strengthen the link between evidence-based research and policy for sustainable development.
