“Everybody Lies” is the harsh title of Seth Stephens-Davidowitz’s
new book. While it doesn’t provide any feasible recipe to prevent people
from lying, the book helps the reader in one essential realm: to grasp and
conceptualize the power of data and data science. Its key strength: It does
so in a very engaging and accessible way.
Once we have grown used to a new technology, it is hard to turn back and
imagine what it was like when it was all new and unheard of. We do not even
have an idea of what it was like before the internet anymore.
The volume of data in the world is increasing exponentially, and with it
the opportunity to take on the many environmental, social and developmental
challenges facing the world. In other words, big data represents a catalyst
for achieving the Sustainable Development Goals, as set by the United
Nations (UN). The opportunity is there for governments, business, academia
and civil society to drive forward this movement. And the UN is looking to
be of enabling forefront of this movement.
It’s one of the most notable features of e-commerce websites like
Amazon: the recommendation engine. “Based on your purchasing history you
might also enjoy the following books”. Data Science has been fuelling the
advancement of these recommendation engines, increasing conversions to
order. But while matching people to products is one thing, matching people
to people is a different kind of endeavour – how successfully is data
science informing online dating?
Corporations are becoming more and more aware of how the growing
availability of data will impact and transform their business model. But
also in the nonprofit world, data literacy and analytical capacity is a key
While online real estate platforms like immoscout24 in Germany employ
large cohorts of data scientists, traditional real estate brokerage firms
have been rather conservative in adopting more data driven approaches. But
there is dynamism: We talked to Nathaniel Holland, Chief Research and Data
Scientist of Houston-based NAI Partners, about how he is introducing data
science into the sector.
History is exciting, especially if we can relate to it. If our ancestors
have been involved in any historic event, we are much more likely to
attribute importance to this happening, develop a desire to know the
details well beyond storytelling.
Twitter is a widely used short message service. With 313M monthly active
users, it is also an important platform for politicians to reach potential
voters. It thus seems interesting to investigate how some of the most
popular German party’s chairholders use their twitter account and if any
differences between their tweets’ style can be detected.
Twitter ist ein interessantes Ökosystem. In Deutschland dient es
vielmals als direkte Interaktionsplattform zwischen Politikern und
Journalisten. Und so mancher Politiker hat sich mit unbedachten Aussagen
auf Twitter schon selbst ein Bein gestellt.