Goals & Domain
Established in 2020 by Prof. Dr. Saman Shahid, the Environment and Health Data Science (EHDS) lab is committed to solving issues of digital health care through artificial intelligence models and handling monitoring of environment's data received for simulation & modeling.
Lab Mission
The Environment and Health Data Science Laboratory's mission is to apply data science and sophisticated analytical approaches to key challenges at the confluence of the environment and human health. Our major purpose is to provide practical insights and evidence-based solutions that help to identify, mitigate, and avoid ecological hazards and their effects on human well-being.
The research lab provides internship opportunities to graduate and undergraduate students under the supervision of our collaborators (such as SUPARCO). We are focusing on addressing SDG#3 (Good Health & Wellbeing), SDG#11 (Sustainable Cities & Communities), and SDG#13 (Climate Action).
Data-driven Investigation
Conducting rigorous scientific study on complex environmental and health datasets using cutting-edge data science approaches and technologies. We want to find patterns, connections, and trends that will help us make better decisions and comprehend the intricate interplay between the environment and human health.
Collaborative Approach
Promoting interdisciplinary collaboration among professionals in environmental science, health science, data science, and other subjects. We form collaborative efforts with academic institutions, government agencies, and non-profit groups to address difficult environmental and health issues.
Knowledge Translation
Translating research findings into actionable recommendations and policy implications to guide effective interventions and strategies. We aim to bridge the gap between scientific research and practical application by communicating our findings to policymakers, stakeholders, and the general public.
Capacity Building
Developing and sharing tools, methodologies, and best practices in data science applied to environment and health research. We aim to empower researchers, practitioners, and policymakers with the necessary skills and knowledge to harness the potential of data science.
Health Data Science
The focus of data science and models in health is to revolutionize healthcare by harnessing the power of artificial intelligence to improve patient outcomes, enhance diagnostics, & optimize treatments. AI models are developed and deployed with the goal of transforming healthcare delivery.
- check_circleOptimize patient treatments through predictive modeling.
- check_circleEnhance clinical diagnostics using machine learning.
Environmental Data Science
Data science plays a crucial role in addressing environmental hazards and promoting sustainability. By harnessing the power of data analysis, modeling, and predictive analytics, data science can contribute to understanding, mitigating, and managing environmental risks.
- check_circleMonitor urban air quality and pollution levels.
- check_circleClimate change modeling from satellite data.