Mining the Social Web
with Dr. Mikhail Klassen, Data Scientist, Astrophysicist, Co-Founder and Chief Technology Officer at Paladin AI
The world is awash in data and hidden therein are the patterns that make, connect, and define our world. In response to this, the much-hyped profession of data scientist has emerged in recent years, who use data mining techniques to separate signal from noise.
One of the most valuable sources of data is social media. Over the last decade we have seen many platforms emerge and play pivotal roles in world-shaping events, from the Arab Spring to the US election.
In this workshop, participants will learn some of the basic techniques of data mining, and how they can be applied to social media. We will discuss the ethical uses of data mining, citing examples of how these platforms have been used in both positive and negative ways, and we will talk briefly about some of the efforts that have been made to implement reforms and address data privacy.
No prior programming experience is required, but participants will be learning from code examples written in the Python programming language. Examples will be presented in an accessible way using Jupyter Notebooks, which enable easy experimentation and tinkering. The goal of this workshop is to equip participants with the tools they need to conduct their own research and data mining experiments.
Data Scientist, Astrophysicist, Co-Founder and Chief Technology Officer at Paladin AI
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