The Laubichler Lab
The Manfred Laubichler Lab at ASU studies evolutionary novelties from genomes to knowledge systems, the structure of evolutionary theory and the evolution of knowledge by means of computational approaches. Projects in the lab create new methods, tools and digital infrastructures for the history and philosophy of science.
Our very own Deryc Painter will defend his dissertation July 15. If you are interested to see what he has been up to over the last couple of years, you are welcome to attend his defense! The details:
Topic: Computational Interdisciplinarity: a study in the History of Science
When: July 15, 2019, at 10AM
Where: LSC 202
When: Fall 2019, Th 1:30-4:15
This fall semester, Deryc Painter, Ken Aiello, and Julia Damerow will be teaching the “Computational Humanities Lab.” The class will cover general introductions to computational methods for preparing and analyzing textual and network data in the context of research concerned with social, cultural, historical, linguistic, aesthetic, and interpretive questions. No prior programming knowledge is required, but you should have an interest in learning how to program.
For questions, please contact Julia Damerow at firstname.lastname@example.org.
Join us for the Digital Innovation Group workshop “Intro to Python” on May 8th and 9th, 2019! Did you always wanted to learn how to program with Python, but never got a chance? If so, this workshop might be exactly what you were looking for. We will teach you your first steps with the Python programming language, how to use the Python Ecosystem (pip, virtual environments, etc.), and will also introduce you to Git and GitHub. No prior programming knowledge required! Find out more.
Every week we will be grappling with data collection, management, and/or analysis. Using R we will explore topics from data science, statistics, and machine learning. R is widely used in statistics and data science and has a lot of modules for traditional statistics and modern machine learning algorithms. Find out more here.