Syl Tang has been a futurist for 25+ years with an eye towards world events such as natural disasters, geo-political clashes, and economic cycles.
In addition to her book Disrobed, she has written hundreds of articles on the confluence of world events and soft goods for print outlets such as the Financial Times, predicting and documenting occurrences such as the Trump election, the Apple watch and other smart wearables, lab-made diamonds, and the effects of global warming on the South Seas.
As CEO and founder of HipGuide Inc, her work has helped more than 50 companies and governments. In addition to helping them navigate the future, she is behind the launches of some of the most well-known beauty, beverage, automotive and urban development efforts, including revitalizing Detroit and product category changers such as frozen alcohol and mineral makeup.
In 1999 she created the first mobile lifestyle texting product in the market and predicted mobile couponing as it exists today. Her company HipGuide is a case study taught in universities around the world, from Dubai to Nova Scotia to Purdue, through a textbook series with McGraw-Hill.
Her book Disrobed can be found at over 1000+ libraries including Harvard, Oxford, Yale, and the New York Public Library, as well as at all major bookstores including Amazon, Barnes & Noble, Waterstone's, and Blackwell's.
DISROBED: How Clothing Predicts Economic Cycles, Saves Lives, and Determines the Future
AMAZON SUMMARY: We may not often think of our clothes as having a function beyond covering our naked bodies and keeping us a little safer from the elements. But to discount the enormous influence of clothing on anything from economic cycles to the future of water scarcity is to ignore the greater meaning of the garments we put on our backs. Disrobed vividly considers the role that clothing plays in everything from natural disasters to climate change to terrorism to geopolitics to agribusiness. Chapter by chapter, Tang takes the reader on an unusual journey, telling stories and asking questions that most consumers have never considered about their clothing. Why do banker’s wives sell off their clothes and how does that presage a recession? How is clothing linked to ethanol and starvation on the African continent? Could RFID in clothing save the lives of millions of people in earthquakes around the world?