Keynotes @ GOTO Berlin

December 13, 2016

The GOTO Berlin 2016 Program Committee worked hard to find outstanding speakers from around the world to deliver keynote presentations at the conference. For GOTO Berlin 2016, they picked four amazing speakers who delivered insightful, inspirational and empowering talks.

Watch the keynotes from GOTO Berlin 2016 below.


Who Do You Trust? Beware of Your Brain

with Linda Rising, Queen of Patterns and Author of Numerous Books

Cognitive scientists tell us that we are more productive and happier when our behavior matches our brain’s hardwiring—when what we do and why we do it matches the way we have evolved to survive over tens of thousands of years. One problematic behavior humans have is that we are hardwired to instantly decide who we trust. And we generally aren’t aware of these decisions—it just happens. Linda Rising explains that this hardwired “trust evaluation” can get in the way of working well with others. Pairing, the daily stand-up, and close communication with the customer and others outside the team go a long way to overcome our instant evaluation of others. As Linda helps you gain a better understanding of this mechanism in your behavior and what agile processes can do to help, you are more likely to build better interpersonal relationships and create successful products.

Download the Slides

[bctt tweet=”Who Do You Trust? Beware of Your Brain – watch @RisingLinda’s @GOTOber keynote”]


Neuro-diversity and software development: Why the tech industry needs all kinds of minds and how we can support them

with Dr. Sallyann Freudenberg, Neuro-diversity advocate, Coach and Pair Programming Researcher

Even if you are unaware of it, it’s likely that there is someone on your team (or has been in the past) with a non-typical neurology. It even seems there is a higher propensity towards autism and aspergers in STEM careers. Turns out that is actually a good thing.

We will begin by looking at the research on diversity and success. Why diversity in general is necessary if we are to produce the very best products and solve the wickedest of problems.

We will then focus in on neurodiversity – after all as people who work in the technology industry, much of our work is brain work.

We will consider what is known about the autistic / aspergers mind with a particular view towards how that lend itself to developing software and how we might better support autists at work.

What about other forms of neurodiversity? We will look at depression, bipolar disorder and ADHD and consider why you might want such diversity on your team and how you can best support it.

Download the Slides

[bctt tweet=”#Neurodiversity + #software dev: @SalFreudenberg discusses why tech needs all kinds of minds @GOTOber”]


The Future of Software Engineering

with ‎Mary Poppendieck, Author of The Lean Mindset: Ask the Right Questions

2020 used to be far in the future. Today it’s four years away. We no longer need to guess what breakthroughs await us in that magic year, the future is hiding in plain sight: a reliable Cloud, industry-disrupting Platforms, massive data from the Internet of Things, really useful Artificial Intelligence, surprising Virtual Reality…

The question is not what the technologies of 2020 will be – that is rapidly coming into focus. The real question is: What is value? What’s important, what isn’t, and why? Should you focus on Continuous Delivery? DevOps? How do you get from where you are now to where you need to be? How do you scale? How do you keep your systems reliable and secure?

This talk will discuss how software engineering is changed by the emerging digital technologies.

Download the Slides

[bctt tweet=”The Future of #Software Engineering – watch @mpoppendieck’s @GOTOber 2016 keynote”]


Consequences of an Insightful Algorithm

with Carina C. Zona, Founder of CallbackWomen and Developer Evangelist for Ruby Together

We have ethical responsibilities when coding. We’re able to extract remarkably precise intuitions about an individual. But do we have a right to know what they didn’t consent to share, even when they willingly shared the data that leads us there? A major retailer’s data-driven marketing accidentially revealed to a teen’s family that she was pregnant. Eek.

What are our obligations to people who did not expect themselves to be so intimately known without sharing directly? How do we mitigate against unintended outcomes? For instance, an activity tracker carelessly revealed users’ sexual activity data to search engines. A social network’s algorithm accidentally triggered painful memories for grieving families who’d recently experienced death of their child and other loved ones.

We design software for humans. Balancing human needs and business specs can be tough. It’s crucial that we learn how to build in systematic empathy.

In this talk, we’ll delve into specific examples of uncritical programming, and painful results from using insightful data in ways that were benignly intended. You’ll learn ways we can integrate practices for examining how our code might harm individuals. We’ll look at how to flip the paradigm, netting consequences that can be better for everyone.

Download the Slides

[bctt tweet=”Consequences of an Insightful Algorithm – watch @CallbackWomen founder @cczona’s @GOTOber 2016 keynote”]