Thursday Notes

Keynote - Psychology of Tech

  • Presenter: Dr. Cat Hicks

  • Successful code is copied (social learning)

  • Solutions are improved by the group (cultural ratcheting)

  • Both tweaks and leaps

  • Most leaps fail, but wins = big advancement

Traps

  1. Brittle productivity trap - Only way to be productive is to “grind” - Short term hard effort looks cool
  2. Chilly climate trap - coder should be cold-nonHuman
  3. Lone genius trap - responsibility lies with a gifted few

Good Culture

  1. Learning culture
  2. Sense of agency
  3. Self-efficacy & motivation
  4. Sense of belonging

Cats Law

  • The more a software team fixates on short term performance, the less they protect the foundation of learning and improcemnt
  • “We have to deliver”

Big Orgranizations

Data-as-a-product: A framework for collaborative data wrangling

  • Clara Amorosi, Bristol Myers Squibb
  • creating a data product object (more work now for less headaches later)
  • start with git, renv, pins, targets

Ripples of Change with R: It’s more than just coding

  • start with purpose (change in mindset before skills to learn R)
  • collaborate (open source - hope that your code is copied and used in the future)
  • learn by doing (projects that matter)
  • celebrate incremental progress

What R We Counting?

  • Ben Arancibia, Director Data Science - Scientific and Adoption Lead for Open Source, GSK
  • How is open-source adoption going? Simple question, hard to answer.
  • git is hard, have empathy for the transition

A tale of one organization: learning how to swim in the ocean of open source

  • learning is emotional
  • need management directive
  • hands on practice - code along sessions and Git together
  • use GenAI to learn
  • learning makes work fun

ML and Statistical Modeling

Building a Real-Time COVID-19 Surveillance System with R: Lessons from the COVID Symptom Study Sweden

Breaking Barriers: Making Ecological Modelling Accessible with EcoCommons

Precision Medicine for All: Using Tidymodels to Validate Breast Cancer PRS in Brazil

Demystifying MLOps with Vetiver

Enterprise-Level Data Platforms

Championing modern science workflows to benefit dairy farmers

  • Excel to R transition
  • Need persistence

The Power of Snowflake and Posit Workbench: Macroeconomic Data Exploration in the Cloud

  • Snowflake vs Dremio

From Framework to Function: Integrating AI, Data Science Platforms, and Psychological Safety

  • Psychological Safety
  • How can we improve as a team?
  • Can you help me prepare for xxx?
  • Journey
    • Plan
    • Design
    • Develop
    • Test
    • Deploy
    • Review
    • Launch
  • Journey
    • empower experimentation (“a-ha moment”)
    • asking for help is never shamed
  • Are you interested in team performace?

From SDKs to Agents: Building with R and Python on Databricks

  • DataBricks

Trustworthy Data Visualization

  • trust

  • reliance

  • commitment

  • categorical on Y

  • continuous on X

  • CONTEXT

  • CONVENTION

  • MEANING