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Stanford February 2025
This past February, I visited Stanford and spoke about Using Adaptive Experimentation to Design Intelligent Adaptive Interventions For Behaviour Change (Tenure Case in Computer Science)
Reflection
Q: What are some interesting insights from checking out the Bay Area (eg Stanford , San Francisco, Berkeley) for my sabbatical?
A1: Innovation as a search for under explored/underleveraged value.
A2: Using human computation or artificial artificial intelligence for building user centric AI that *actually* helps people and impacts their behavior.
Q: How can you use methods of historians to use your past to understand and improve tiur present and future? History Prof Audra Diptee
Audra Diptée after speaking at Stanford University HAI shared a MicroPodcast into answer this. Click play to listen to voice along with transcript!
All 8 billion people have behaviours they want to change – to stop doing some actions, start doing others. Intelligent Interventions (delivered through apps, text, & people) can be conceptualized as finding the "Magic Words" to say that will help a person in a specific moment. This playlist comprises a selection of 3 audio briefs that were used to create this presentation.
Statistically Sensitive Algorithms and Algorithm Attuned Analyses
How can we transform the everyday technology people use into intelligent, self-improving systems? For example, how can we perpetually enhance text messages for managing stress, or personalize explanations in online courses? Our work explores the use of randomized adaptive experiments that test alternative actions (e.g. text messages, explanations), aiming to gain greater statistical confidence about the value of actions, in tandem with rapidly using this data to give better actions to future users.