Data Science the Swiss way: Who is behind

Special edition of Data Science the Swiss Way

I collect data, you do analytics, he/she needs the insights, we study data science, they…

What do then “THEY” do? And who is “THEY”? We need “them” to bridge all these stakeholders, activities and needs and stop reinventing the data science wheel. We need “them” to stand between pure academia and pure industry.

Get on the data science train from Lausanne to Zurich and back to learn the story behind

It is the Swiss Data Science Center. The Swiss Data Science Initiative launched by ETH Board. It is the bridge between those who have data, analytical experts and those who need the insights. But I mean the actionable insights. The one that will go beyond a statement. The one that will make real impact for the health, for the environment, for the society.

They stand firmly on the top of the hill of trust, quality, and anonymity

Now more than ever we need trusted science. The trust in collective intelligence, trust in research process and re-usability of science. We need trust in data quality, data that reflects reality but not to pinpoint at anyone. We need to communicate that personal data is safe.

The flag on this hill doesn’t have the colours of Switzerland but it is equally strong as the country and it is called RENKU

It is the flag hold by all scientists who want to share, reproduce, reuse data, codes and knowledge. Together, because this collaboration makes them stronger. But it is not reserved just for scientists with super IT skills. It is completely user-friendly.

Anyone with an idea can join climbing

You know how to make the society a better place to live? You want to collaborate with the top scientists together to untap the value? Just tell “them”. They all work together to push the boundaries of science forward. By using real and high quality. Simply, “complex journey made simple”.

The Swiss Data Science Center is a joint venture between EPFL and ETH Zurich. Its mission is to accelerate the adoption of data science and machine learning techniques within academic disciplines of the ETH Domain, the Swiss academic community at large, and the industrial sector. In particular, it addresses the gap between those who create data, those who develop data analytics and systems, and those who could potentially extract value from it. The center is composed of a large multi-disciplinary team of data and computer scientists, and experts in select domains, with offices in Lausanne and Zurich

About me:

A passionate survey methodologist, market researcher and data scientist. I live between social and business worlds of research turning data upside down and telling stories out of them. My expertise is in cleaning and analyzing data using R, SPSS, JMP SAS, SAS and survey programming in Qualtrics and Unipark. I am RLadies Lausanne member, R Influencer and I mingle among Swiss AI machine learning experts. Addicted to learning and passionate about teaching. I got my super skills at the Institute of Statistics in Neuchatel and Institute for Market Research in Zurich.

Follow me on Twitter and LinkedIn.

The blog Data Science the Swiss Way is a result of my admiration for what is being done in Switzerland to speed up the data science train. The stories are based on my personal experience, views, sentiments, and what I’ve read.

Source: Deep Learning on Medium