Ingrid de Jong

Ingrid de Jong is a Researcher at Wageningen University & Research (WUR) within the Wageningen Institute for Animal Sciences (WIAS), holding the Dutch academic title dr.ir. (doctor ingenieur). Her work spans animal health and welfare research with primary focus on broiler chickens and pigs, actively bridging scientific findings with commercial farming applications through 408 research outputs and 49 projects including leadership roles in LVVN-funded initiatives.

Her research interests include:

• Animal Welfare Assessment Protocols
• Broiler-Pig Welfare Resilience Systems
• Gut Microbiome-Health Interactions
• Behavioral Monitoring via Sensor Technologies
• Environmental Enrichment Optimization
• Light Spectrum/Intensity Effects
• Sustainable Feed Interventions
• Stocking Density Impacts

Recent publications (2024-2025) demonstrate consistent focus on broiler welfare assessment refinement, particularly intestinal integrity detection and lighting systems, while expanding into pig resilience through sensor-driven early warning models. Her work emphasizes practical implementation in EU commercial farms with strong interdisciplinary connections between veterinary science, microbiome research, and precision livestock technology.

No scientific awards were mentioned in the provided materials.

She serves as co-promotor for PhD candidate Wu, Z. on early feeding interventions and leads multiple Dutch-funded projects including Veerkrachtige dierhouderijsystemen (resilient livestock systems) and FUNCTILIGHT. Her grant portfolio centers on welfare-economic-environmental tradeoffs in livestock production, with active collaboration across academia, industry, and policy bodies like the European Food Safety Authority.

Dr. de Jong co-founded the BroilerNet innovation network connecting practice and science in broiler production and contributed to the Greenwell project assessing welfare, environmental impact, and economy of broiler systems. Her work integrates optical flow analysis, RFID monitoring, and microbiome sequencing through WIAS facilities, with ongoing projects targeting sensor fusion for welfare prediction and One Health synergies.