What's Up at CNS

Visiting Scholar at University of Cambridge

December 28, 2016

Hinc lucem et pocula sacra

"From this place, we gain enlightenment and precious knowledge"

Motto, University of Cambridge

We all have places we dream of experiencing. Do you remember that feeling of expectation before getting there? That bitter-sweet fear of the unknown? And then, at the end, that feeling of it being even better than you imagined? For me, Cambridge was such a place - this Mecca of intellectual history, of history of science, of revolutionary thought that changed the world. Using the Doctoral Research Support Grant at CEU, in October and November this year, I had the pleasure of being a Visiting Scholar at University of Cambridge, Department of Sociology. Those two months have been extremely productive and immensely rewarding.

Mathematical Bridge

The Amazing Potential and Dark Side of Big Data

December 15, 2016

Big data can be used by social scientists to study a variety of phenomena. Cell phone data can inform us about mobility and interaction patterns. Article citations can be measured throughout the career of successful scientists to ask what drives success. However, corporations and governments can also use big data to further their agenda, not always in line with societal goals. We illustrate informative applications of big data and discuss ethical considerations to stay clear of the "dark side."

Pop in to the evolution of Physics

November 29, 2016

Newton and Leibniz in the 17th century, Scheele, Prisetley and Lavoisir in the 18th century, Darwin and Wallace in the 19th century, or more recently, Berezinskii and two of the Nobel laurates in Physics of 2016: Kosterlitz and Thouless – what do they have in common? They all made the same groundbreaking and paradigmatic discoveries at a similar time, independently from each other! Can this be captured within the network structure of the field?

A novel community finding method on large networks

November 21, 2016

On the 14th of November Dávid Deritei, a physicist by training, chose a technical, more mathematics and algorithm-centric topic, contrary to last week’s talk about a much more applied topic: forbidden triads in the jazz music community. He summarized a paper from Tiago et.al. [1] about a block model-like community detection method.

¡Hola de Barcelona!

November 18, 2016

Data Science Internship @Stream Hatchet

Since July 2016, I have been working as a part time data science intern for a small startup called Stream Hatchet in Barcelona, Spain. Stream Hatchet is a web-based application that provides real-time statistics and historical data analytics from the leading video platform and community for gamers – Twitch. More than 45 million gamers gather every month on Twitch to broadcast, watch and chat. It has 9.7 million active daily users and 2+ million unique streamers per month.