What is Statistical Engineering (SE)?

How did the idea of Statistical Engineering come about?

Is SE an idea and a practice, or is it a profession, or both? 

How does SE compare to the role/profession of “statistician” and/or “data scientist”?

Today, I have an interview with Margaret Gamalo, about how to combine a controlled arm with real world evidence data, a really hot topic.

Also, Margaret has been sharing her knowledge for a long time and has gained lots of opportunities this way. Helping others will help you in the long-run. We discuss this aspect in the episode as well.

Are you overwhelmed by work?
Do you feel like being constantly under time pressure?

As I’m talking with colleagues in nearly all organizations, there seems to be an overall increase in workload, shorter timelines, a reduced number of people to help, and also an increase in complexity of the projects. 

This leads to the breakdown of the system.

There’s some interesting research by a German mathematician, who wanted to understand why the German railway system sometimes completely breaks down and delays accumulate quickly over the day.

Do you want to help someone improve their visualization skills?
Or do you want to train others on any other statistics skills?

Training is a very important topic for us statisticians. We train people all the time it can be about statistics or non-statistics.

Is it possible to align business focus and self development at the same time?
How can we create clear department or company goals or relate these to our goals?

In this episode, Benjamin talk about how to make business focus and self development work together. We also provide you numerous tips on how to make it work.

While we go through our career, we have lots of days that are more or less similar: meetings, discussions, and emails. But sometimes there are spotlight moments. You can be in a meeting with various senior people or work with new clients that is really critical. You have a meeting that will make it or break it. Very often these kind of meetings come with some kind of warning. You e.g. know you need to defend your case in front of a committee and it will be a tough discussion.

One of the toughest discussion you can be in as a statistician is a GBA hearing in Germany. During this meeting you can make or break the launch of a new product or indication in Germany with consequences for Europe and beyond. As a statistician you're here in a high stake discussion.

What is a statistical unicorn?
What should we be doing to become one?

Gary Sullivan introduced me to Ena and she's a really interesting statistician. She was actually quite ahead of her time when she founded her CRO.

What are the limitations and strength of introverts in negotiations?
What does listening really mean and why is it important for negotiations?
How do to handle different emotions during negotiations or emotional hijack?
How to extract intel from without being obvious?

It is important to be an effective negotiator as negotiation is all around us all the time. Whether it's about daily life or making decisions at work as statisticians. But at as experts in this field (and being mostly introverts), we need several skills to develop and grow our negotiation skills.

What is Dark Data?
What inspired David to write this book? 
What did he hope to accomplish in its writing?

Today, we all make decisions using data. Dark Data shows us all how to reduce the risk of making bad ones.

How does data visualization work for journalism?
What can we learn from it as statisticians?

Today, we will be talking about data visualization in journalism with Irene. She has worked for BBC so she has a background with journalism and we will learn from her perspective.