Current Position
Assistant Professor of MS&E
Project Intersection
Overview
Professor Irene Lo relates to the project through her expertise in operations research, game theory and market design, with special focus on increasing efficiency and welfare in smallholder supply chains. Her investigations into how digital platforms can mediate inefficiencies in opaque and informal markets ground the chatbot proposal’s aim to act as a centralizer of financial and operational control. The professor’s work offers the scientific foundation for transforming the practical “hands-on” field routine into a structured decision-making system, aiming at cost reduction and resource optimization.
”Two-sided Benefits of Price Transparency in Smallholder Supply Chains” (2025)
This study analyzes the impact of price transparency in agricultural supply chains in developing countries (such as palm oil in Indonesia), mediated by mobile platforms. The central term is “Demand Signaling,” which occurs when buyers use price to indicate how much supply they need, and “Contractual Imbalance,” which describes the asymmetry of needs between different agents. The research investigates how to ensure mutual benefits so that technology adoption is sustainable.
Efficiency in Opaque Markets
- “As a result, price-searching suppliers (smallholder farmers) cannot get the best available price, and price-setting buyers cannot utilize pricing as an efficient signaling mechanism…“. “As a result, price-searching suppliers (smallholder farmers) cannot get the best available price, and price-setting buyers cannot utilize pricing as an efficient signaling mechanism…“.
- Intersection: The project identifies that lack of centralized control hides productivity bottlenecks and creates accounting friction. The chatbot acts to “give transparency” to farm spending and flows, allowing the rural producer to identify input and fuel waste, analogous to the efficiency sought by Lo’s platforms.
Sustainability of Technology Adoption
- “However, to encourage widespread adoption of information platforms and ensure sustained welfare benefits, it is often crucial that both sides of the market benefit…“. “However, to encourage widespread adoption of information platforms and ensure sustained welfare benefits, it is often crucial that both sides of the market benefit…“.
- Intersection: For the rural producer with “low tolerance for complex software,” the bot must deliver immediate value (such as eliminating payment deadline forgetfulness) for him to accept “feeding” the system with data. Lo’s research validates that the chatbot’s success depends on this mutual perception of utility between field operation and strategic management.
Reduction of Supply-Demand Mismatch
- “Price transparency enables buyers with contractual imbalances to leverage differentiated pricing to signal unequal demand, thereby reducing demand-supply mismatch…“. “Price transparency enables buyers with contractual imbalances to leverage differentiated pricing to signal unequal demand, thereby reducing demand-supply mismatch…“.
- Intersection: The bot’s “Continuous Learning Engine” assimilates operational routine to suggest resource optimizations. By collecting supplier and route data, the system applies Lo’s mismatch-reduction logic to ensure the farm’s logistics infrastructure is aligned with fiscal and maintenance needs, mitigating financial losses.
”Quickest way to less headache days: an operational research model and its implementation for chronic migraine” (2025)
Despite its health application, this research uses Operations Research (OR) to optimize decision-making processes under uncertainty. The model uses the “Multi-Armed Bandit Problem” and the “Gittins Index” to determine the ideal sequence of actions that minimizes time until discovering an effective solution. The focus is to replace human “trial and error” with a mathematical model of continuous learning.
Optimization via Mathematical Models
- “Operations research (OR) is the study of optimal decision-making using mathematical models.”. “Operations research (OR) is the study of optimal decision-making using mathematical models.”.
- Intersection: The project’s timeline foresees in August the technical expansion to “Route and routine optimization algorithms.” The OR methodology described by Lo provides the framework for the bot to not just log data, but calculate the most efficient operational trajectories and schedules for the rural property.
Continuous Learning and Guidance
- “This index should be re-evaluated in real time and on each follow up visits to offer continual guidance for the next choice…“. “This index should be re-evaluated in real time and on each follow up visits to offer continual guidance for the next medication choice.”.
- Intersection: The bot performs passive and active data collection through “short daily questions.” This constant interaction enables “real-time” re-evaluation of farm priorities, using Lo’s principle of sequential learning to ensure the system dynamically adapts to changes in the producer’s routine.
Mitigation of Frustration from Process Failures
- “Medication trial failures cause frustrations and helplessness… An expedient way of determining effective prevention therapy can significantly benefit…“. “Medication trial failures cause frustrations and helplessness… An expedient way of determining effective prevention therapy can significantly benefit…“.
- Intersection: Chronic “forgetfulness” of maintenance generates losses and stress for rural producers. The chatbot uses Lo’s systematic decision logic to reduce 80% of tasks not completed due to forgetfulness, replacing human memory failure with an automated and “expedient” flow of alerts and reminders.
Full papers
Irene Lo - Two-sided Benefits of Price Transparency in Smallholder Supply Chains.pdf Irene Lo - Quickest way to less headache days an operational research model and its implementation for chronic migraine.pdf