Did you know that crows are better than toddlers at generating novel solutions? It's true! In the earliest days of childhood, around the globe scientists have documented that human cognition struggles to generate novel solutions. But we are adept at imitation, transmitting and teaching the solutions that we see others put into practice. What does this have to do with software, and innovation, and the cultures we want to create for the communities we love? I'm a psychologist fascinated by cycles of innovation in developer communities, and I think a simple reframe lights the way forward for our industry: in this talk, rather than focusing on what drives individual developer productivity, together we’re going to focus on the science of what drives developers’ collaborative problem-solving. We'll dive into the cognitive architecture of problem-solving, as well as what I've learned from leading empirical research with thousands of developers.

Cat Hicks is a psychologist for software teams and defender of the mismeasured. She is the author of the Developer Thriving framework, the AI Skill Threat framework, and the VP of Research at Pluralsight. Cat is the founder of the Developer Success Lab, an open science research lab that creates empirical evidence about how organisations and individuals can achieve sustainable, resilient innovation in technology and create more well-being for technologists. Cat is also the founder of Catharsis Consulting, a scientific consultancy that connects organisations to human-centred evidence strategies. Cat holds a Ph.D. in Quantitative Experimental Psychology from UC San Diego, serves on the Advisory Council of the University of San Diego Center for Digital Civil Society, and is the author of a forthcoming book on the psychology of software teams.

Have you ever wondered about what makes a good abstraction vs a bad one? Do you want to examine potential reasons why efforts to develop abstractions at a company or in a project take hold, and some don't? Or what it takes to develop an abstraction that reaches beyond the technical corner of your company or project and becomes something that helps actually shape how you think about the entire problem? Understanding the process of developing abstractions, especially as a leader, is really about understanding the process of grief. Even if you get to build the abstraction, it won't be the one you pictured, or envisioned. You're going to need to take the seeds you've born, carefully curated, and lovingly built up over time... And watch them die. To build an abstraction is to hold the heart of your humanity in your hands. Plant your soul into the ground, and be reborn. In this session, I'm going to introduce my thoughts on abstraction, how it works, why it sometimes works and why it sometimes doesn't, and how one can actually take an abstraction and flesh it out to the point where it takes on a life of its own. With that, you should be able to have a better grasp on how ideas can take root in a way that bridges people and domains together.

Hazel Weakly

Hazel spends her days working on building out teams of humans as well as the infrastructure, systems, automation, and tooling to make life better for others. She’s worked at a variety of companies, across a wide range of tech, and knows that the hardest problems to solve are the social ones. Hazel currently serves as a Director on the board of the Haskell Foundation, as a Fellow of the Nivenly Foundation, and is fondly known as the Infrastructure Witch of Hachyderm (a popular Mastodon instance). She also created the first official Haskell “setup” Github Action and helped turn it into an active community-maintained project. She enjoys traveling to speak at conferences, appearing on podcasts, mentoring others, and sharing what she’s learned with the world. One of her favorite things is watching someone light up when they understand something for the first time, and a life goal of hers is to help as many people as possible experience that joy. She also loves shooting pool and going swing dancing, both as a leader and a follower.

Systems thinking is the macro behaviour that we must understand in analyzing our world. A system always produces what it is designed to do, even if that isn't at all what we meant it to do!

Systems are self-maintaining, and contain balancing and/or reinforcing feedback loops.

We'll look at how these work, and what happens when they fail. You'll see how to apply systems thinking to the systems that are all around us.

This is an introductory talk to the world of Systems Thinking, condensed into 45 mins plus time for questions at the end.