91 books like Nicely Said

I moved into content design from a career in brand and marketing, at a time when the discipline was emerging and not many people really knew what it was. Much of my time since has been spent educating people and organisations and sharing knowledge to help them make better content decisions. Throughout this time, I’ve learnt most of what I know through the experience of working with the design teams, but so many books have also helped me along the way and made my work so much better. I love content design – having the power to improve people's experiences with brands through words is so rewarding, and these books will inspire others to do the same.

I moved into content design from a career in brand and marketing, at a time when the discipline was emerging and not many people really knew what it was. Much of my time since has been spent educating people and organisations and sharing knowledge to help them make better content decisions. Throughout this time, I’ve learnt most of what I know through the experience of working with the design teams, but so many books have also helped me along the way and made my work so much better. I love content design – having the power to improve people's experiences with brands through words is so rewarding, and these books will inspire others to do the same.

I moved into content design from a career in brand and marketing, at a time when the discipline was emerging and not many people really knew what it was. Much of my time since has been spent educating people and organisations and sharing knowledge to help them make better content decisions. Throughout this time, I’ve learnt most of what I know through the experience of working with the design teams, but so many books have also helped me along the way and made my work so much better. I love content design – having the power to improve people's experiences with brands through words is so rewarding, and these books will inspire others to do the same.

I have been designing user interfaces since graduate school at Stanford, where I studied psychology and computer science. Over the five decades since then, I have designed many digital products and services, learning a lot about how to make them usable and useful. Two decades ago, I turned more towards sharing my knowledge and experience through writing (articles and books) and teaching (professionals and students). I’ve taught at Stanford University, Mills College, the University of Canterbury (New Zealand), the University of San Francisco, and at professional conferences and companies. Google invited me twice to speak in their Authors @ Google series, and ACM and SIGCHI have given me several awards.

I’ve always been fascinated by the power of language to propel everything we think—from our values and beliefs, to political views, to what we take for absolute truth. Once I learned there’s a whole field devoted to studying language called “rhetoric”—the field in which I’m now an expert—there was no turning back. Rhetoric has been around for more than 2,000 years, and since its inception, it has taught people to step back from language and appraise it with a more critical eye to identify how it works, why it’s persuasive, and what makes people prone to believe it. By studying rhetoric, we become less easily swayed and more comfortable with disagreement. 

I was lucky enough to have been taught Latin at school, and I remember my first teacher telling the class that a tandem bicycle was so called because Latin tandem means ‘at length’. That was the beginning with my fascination for words, etymologies, and languages. At University I was able to specialise in Greek, Latin, and Indo-European languages and then for my PhD I learnt Armenian (which has an alphabet to die for: 36 letters each of which has four different varieties, not counting ligatures!). I am now Professor of Comparative Philology at the University of Cambridge. 

When I was nine years old, I saved enough allowance money to buy a big box of oil pastels. I was mesmerized by its amazing display of gorgeous colors. Never could figure out why my girlfriends played with dolls when it was more exciting to paint. It wasn’t until high school, and time to apply to colleges that I made the decision to go to art school. Another key moment for me was after graduating from art school and landing in New York City. It was then that I made a brave decision to never waitress again, and instead do whatever it takes to stay in the arts. 

I’m a historian of medieval Europe who specializes in twelfth-century England and France. I’ve been fascinated with history since childhood and distinctly remember being obsessed with a book on English monarchs in my mom’s bookcase when I was young. In college, I took a class on Medieval England with a professor whose enthusiasm for the subject, along with the sheer strangeness of the medieval world, hooked me. I’ve been exploring medieval Europe ever since, and deepening my understanding of how our own world came into being in the process. 

I was trained as a mathematician but have always been motivated by problem-solving challenges. Statistics and analytics combine mathematical models with statistical thinking. My career has always focused on this combination and, as a statistician, you can apply it in a wide range of domains. The advent of big data and machine learning algorithms has opened up new opportunities for applied statisticians. This perspective complements computer science views on how to address data science. The Real Work of Data Science, covers 18 areas (18 chapters) that need to be pushed forward in order to turning data into information, better decisions, and stronger organizations

I’m an applied statistician and academic researcher/lecturer at New Zealand’s oldest university – the University of Otago. R facilitates everything I do – research, academic publication, and teaching. It’s the latter part of my job that motivated my own book on R. From first-year statistics students who have never seen R to my own Ph.D. students using R to implement novel and highly complex statistical methods and models, my experience is that all ultimately love the ease with which the R language permits exploration, visualisation, analysis, and inference of one’s data. The ever-growing need in today’s society for skilled statisticians and data scientists means there's never been a better time to learn this essential language.