Key Impact Areas and SDG Contributions
MagIC focuses its research efforts on five key impact areas, each contributing to multiple SDGs:
We leverage data science to improve healthcare delivery. Our research has led to:
- More accurate diagnoses
- Personalized treatment plans
- Enhanced patient care across various medical specialties
- Innovative solutions for chronic disease management, mortality prediction, mobile health, electronic health portals, and video consultations.
![SDG3](/media/sopf0cyf/sdg3.png?anchor=center&mode=crop&width=970&height=870&rnd=133604154237100000)
MagIC tackles complex urban challenges through advanced data analysis. Our work includes:
- Pilot-scale digital smart city platform: This platform supports urban modeling and planning for sustainable development.
- IoT-based system for waste management: This system facilitates Pay-As-You-Throw schemes and incentivizes recycling.
- Analysis of large datasets related to micromobility, parking, pollution, and emergency response, informing policy decisions for a more efficient and sustainable urban environment.
![SDG11](/media/u05kdpzg/sdg11.png?anchor=center&mode=crop&width=970&height=870&rnd=133604154242330000)
Our research deepens the understanding of sustainable technologies and energy communities. We develop:
- Strategies and toolkits for emerging sustainable technologies and energy communities.
- Solutions to improve the quality of life in urban environments through sustainable practices.
- Initiatives that promote "energy citizenship," empowering individuals to make sustainable choices.
![SDG7 E 13](/media/aqaelm3u/sdg7-e-13.png?anchor=center&mode=crop&width=970&height=870&rnd=133604154239600000)
MagIC uses data science to explore trends and challenges in the tourism and hospitality industry. Our research focuses on:
- Social influence in travel decisions
- The impact of technology on sharing economy platforms
- Customer acceptance of AI-based services
- Strategies to navigate the evolving digital landscape of tourism and hospitality.
![SDG8](/media/yylldtlw/sdg8.png?anchor=center&mode=crop&width=970&height=870&rnd=133604154240930000)
MagIC's research sheds light on e-learning technologies, including:
- Key factors influencing the success of e-learning systems
- Prediction of student performance using machine learning techniques
- Analysis of higher education data to identify trends and inform policy decisions
- The role of e-learning in academic achievement at the high school level.
![SDG4](/media/pfzjh5w5/sdg4.png?anchor=center&mode=crop&width=970&height=870&rnd=133604154238130000)