MIT News - Artificial intelligence 10月15日 03:50
关注食物系统研究,助力全球粮食安全
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在第80个世界粮食日之际,全球面临饥饿和营养不良的双重挑战。MIT的J-WAFS实验室通过提供种子基金,支持包括Ali Aouad在内的研究人员,探索创新的食物和水系统解决方案。Aouad博士的研究聚焦于利用印度本地杂货店数据,通过优化方法设计更有效的食品补贴项目,以改善低收入人群的食品援助政策,并探索长期营养行为的转变。尽管面临数据采集和大规模实施的挑战,该研究旨在为全球粮食安全贡献新的方法论。

🌍 世界粮食日旨在纪念联合国粮食及农业组织成立80周年,并呼吁全球共同努力解决饥饿和营养不良问题。当前全球有超过6.7亿人面临饥饿,同时肥胖率上升也构成健康挑战,凸显了建立有韧性的粮食系统和保障健康食品供应的紧迫性。

🔬 MIT的Abdul Latif Jameel水与食品系统实验室(J-WAFS)通过提供种子基金,支持如Ali Aouad博士等研究人员开展前沿的水和食品系统研究。Aouad博士的研究项目“最优补贴设计:食品援助计划的应用”旨在利用数据驱动的方法,优化食品援助政策的设计,特别是针对印度等地的低收入群体。

📊 Aouad博士的研究通过在印度小型杂货店安装销售点扫描仪来收集购买习惯数据,以揭示潜在的消费者偏好。其目标是开发一种算法,将这些交易数据转化为对个体隐藏偏好的洞察,从而能够更精确地模拟和优化食品援助计划的品种和灵活性,以应对预期的需求。

💡 该研究旨在通过一种新的“优化方法”来指导食品援助政策的制定,这与传统依赖领域专业知识、遗留系统或政治考量的政策制定方式不同。Aouad博士希望将这种方法引入食品政策领域,为解决长期存在的政策问题提供新的视角和方法论传统。

📈 尽管研究旨在通过优化方法改进食品援助计划,但长期营养影响的衡量仍具挑战性。Aouad博士的短期目标是提供关于消费者偏好和补贴优化的见解,并探索更具成本效益的数据收集方式,为未来大规模实施积累经验,尽管实际大规模应用可能面临成本和基础设施的障碍。

Oct. 16 is World Food Day, a global campaign to celebrate the founding of the Food and Agriculture Organization 80 years ago, and to work toward a healthy, sustainable, food-secure future. More than 670 million people in the world are facing hunger. Millions of others are facing rising obesity rates and struggle to get healthy food for proper nutrition. 

World Food Day calls on not only world governments, but business, academia, the media, and even the youth to take action to promote resilient food systems and combat hunger. This year, the Abdul Latif Jameel Water and Food Systems Laboratory (J-WAFS) is spotlighting an MIT researcher who is working toward this goal by studying food and water systems in the Global South.

J-WAFS seed grants provide funding to early-stage research projects that are unique to prior work. In an 11th round of seed grant funding in 2025, 10 MIT faculty members received support to carry out their cutting-edge water and food research. Ali Aouad PhD ’17, assistant professor of operations management at the MIT Sloan School of Management, was one of those grantees. “I had searched before joining MIT what kind of research centers and initiatives were available that tried to coalesce research on food systems,” Aouad says. “And so, I was very excited about J-WAFS.” 

Aouad gathered more information about J-WAFS at the new faculty orientation session in August 2024, where he spoke to J-WAFS staff and learned about the program’s grant opportunities for water and food research. Later that fall semester, he attended a few J-WAFS seminars on agricultural economics and water resource management. That’s when Aouad knew that his project was perfectly aligned with the J-WAFS mission of securing humankind’s water and food.

Aouad’s seed project focuses on food subsidies. With a background in operations research and an interest in digital platforms, much of his work has centered on aligning supply-side operations with heterogeneous customer preferences. Past projects include ones on retail and matching systems. “I started thinking that these types of demand-driven approaches may be also very relevant to important social challenges, particularly as they relate to food security,” Aouad says. Before starting his PhD at MIT, Aouad worked on projects that looked at subsidies for smallholder farmers in low- and middle-income countries. “I think in the back of my mind, I've always been fascinated by trying to solve these issues,” he noted.

His seed grant project, Optimal subsidy design: Application to food assistance programs, aims to leverage data on preferences and purchasing habits from local grocery stores in India to inform food assistance policy and optimize the design of subsidies. Typical data collection systems, like point-of-sales, are not as readily available in India’s local groceries, making this type of data hard to come by for low-income individuals. “Mom-and-pop stores are extremely important last-mile operators when it comes to nutrition,” he explains. 

For this project, the research team gave local grocers point-of-sale scanners to track purchasing habits. “We aim to develop an algorithm that converts these transactions into some sort of ‘revelation’ of the individuals’ latent preferences,” says Aouad. “As such, we can model and optimize the food assistance programs — how much variety and flexibility is offered, taking into account the expected demand uptake.” He continues, “now, of course, our ability to answer detailed design questions [across various products and prices] depends on the quality of our inference from  the data, and so this is where we need more sophisticated and robust algorithms.”

Following the data collection and model development, the ultimate goal of this research is to inform policy surrounding food assistance programs through an “optimization approach.” Aouad describes the complexities of using optimization to guide policy. “Policies are often informed by domain expertise, legacy systems, or political deliberation. A lot of researchers build rigorous evidence to inform food policy, but it’s fair to say that the kind of approach that I’m proposing in this research is not something that is commonly used. I see an opportunity for bringing a new approach and methodological tradition to a problem that has been central for policy for many decades.” 

The overall health of consumers is the reason food assistance programs exist, yet measuring long-term nutritional impacts and shifts in purchase behavior is difficult. In past research, Aouad notes that the short-term effects of food assistance interventions can be significant. However, these effects are often short-lived. “This is a fascinating question that I don’t think we will be able to address within the space of interventions that we will be considering. However, I think it is something I would like to capture in the research, and maybe develop hypotheses for future work around how we can shift nutrition-related behaviors in the long run.”

While his project develops a new methodology to calibrate food assistance programs, large-scale applications are not promised. “A lot of what drives subsidy mechanisms and food assistance programs is also, quite frankly, how easy it is and how cost-effective it is to implement these policies in the first place,” comments Aouad. Cost and infrastructure barriers are unavoidable to this kind of policy research, as well as sustaining these programs. Aouad’s effort will provide insights into customer preferences and subsidy optimization in a pilot setup, but replicating this approach on a real scale may be costly. Aouad hopes to be able to gather proxy information from customers that would both feed into the model and provide insight into a more cost-effective way to collect data for large-scale implementation.

There is still much work to be done to ensure food security for all, whether it’s advances in agriculture, food-assistance programs, or ways to boost adequate nutrition. As the 2026 seed grant deadline approaches, J-WAFS will continue its mission of supporting MIT faculty as they pursue innovative projects that have practical and real impacts on water and food system challenges.

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世界粮食日 粮食安全 食品系统 MIT J-WAFS 食品补贴 营养 World Food Day Food Security Food Systems MIT J-WAFS Food Subsidies Nutrition
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