# Event Details

- **Event Name**: HAI Seminar with Dan Iancu, Sarah Billington, Antonio Skillicorn
- **Event Start and End Date**: Wed, 18 Mar, 2026 at 12:00 pm – Wed, 18 Mar, 2026 at 01:15 pm
- **Event Description**: Visiting scholars share their research with the HAI community.About this EventInterpretable Machine Learning and Mixed Datasets for Predicting Child Labor in Ghana’s Cocoa SectorHAI Seminar with Dan Iancu, Sarah Billington, Antonio SkillcornVisit our website to learn more about the event agenda, speakers, and other detailsChild labor remains prevalent in Ghana’s cocoa sector and is associated with adverse educational and health outcomes for children. This exploratory work examines how two surveys that measure child labor in Ghana (NORC and GLSS7), but differ in quality and scale, can be jointly leveraged for less biased prediction and to identify key predictors of child labor risk. We further investigate whether district-level satellite indicators, including yield-weighted cocoa-driven deforestation, newly lit area, and newly urban area, enhance predictive performance and play important roles in shaping model predictions. Using non-parametric machine learning models (XGBoost, Random Forest) paired with cross-validation and a hyperparameter grid search, we find that the best-performing model in classifying child laborers achieves an out of sample AUC of 0.95 and F1 of 0.84. Model interpretability tools (SHAP values, partial dependence plots) highlight influential predictors such as child age, cocoa-driven deforestation, school commute time, newly lit area, and household herbicide expenditures. In addition to emerging as the second most explanatory feature, cocoa-driven deforestation also shows a clear nonlinear association with predicted child labor risk. Our approach demonstrates new ways of grappling with data scarcity and bias in child labor measurement, while our findings provide actionable risk profiles to support monitoring efforts and underscore the complex interconnections between child labor and environmental practices.Details:Time: 12:00 pm - 1:15 pm PTLocation: Gates Computer Science Building, Room 119, 353 Jane Stanford Way, CA 94503.
- **Event URL**: https://allevents.in/stanford/hai-seminar-with-dan-iancu-sarah-billington-antonio-skillicorn/100001977984808809
- **Event Categories**: workshops, performances, health-wellness, entertainment, nonprofit
- **Interested Audience**: 
  - total_interested_count: 0

## Ticket Details

- **Ticket URL**: https://consumer.pxf.io/c/1339408/3151484/39691?partnerpropertyid=1191892&MediaPartnerPropertyId=1191892&svlink=14105511&level=1&u=https%3A%2F%2Fwww.eventbrite.com%2Fe%2Fhai-seminar-with-dan-iancu-sarah-billington-antonio-skillicorn-tickets-1977984808809
- **Ticket Price Range**: min: 0, max: 0, currency: USD

## Event venue details

- **city**: Stanford
- **state**: CA
- **country**: United States
- **location**: Gates Computer Science Building Room 119
- **lat**: 37.4179106
- **long**: -122.174952
- **full address**: Gates Computer Science Building Room 119, 353 Serra Mall, Stanford, United States

## Event Organizer details

- **affiliate_id**: 10
- **organizer**: Stanford Institute for Human-Centered Artificial Intelligence (HAI) (https://allevents.in/org/stanford-institute-for-human-centered-artificial-intelligence-hai/17656309)

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## FAQs

- **Q**: When is the event happening?
  - **A:** Wed, 18 Mar, 2026 at 12:00 pm
- **Q**: Where is the event happening?
  - **A:** Gates Computer Science Building Room 119, 353 Serra Mall, Stanford, United States
- **Q**: What is the ticket price?
  - **A:** starting from 0 up to 0 USD
- **Q**: Who is organizing the event?
  - **A:** Stanford Institute for Human-Centered Artificial Intelligence (HAI)
- **Q**: What type of event is this?
  - **A:** workshops, performances, health-wellness, entertainment, nonprofit
- **Q**: Where can I find ticket details about HAI Seminar with Dan Iancu, Sarah Billington, Antonio Skillicorn ?
  - **A:** You can find ticket details about this event on AllEvents.

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