Workshop: “Finding Data for Mapping: Tips and Strategies” Wednesday, October 3rd, 2018 – 6:30 – 8:30pm
Ever wonder what it takes to make elegant maps and infographics that show sociodemographic, political, and other types of information in powerfully succinct ways? Want to learn more about how these maps are made? Where does the data come from? In this workshop we are going to go through the steps it takes to make a map. We will talk about tips and strategies you can use to find the data you need, to make sure you have the right kind of data, and to begin building a map of your own.
Workshop: “Sound: Recording, Sourcing, Editing, Sharing” Wednesday, October 10th, 2018 – 6:30 – 8:30pm
Does your research involve sound? Would you like to learn more about digital tools for recording, editing, and sharing audio files, as well as finding new sound sources? This workshop will review some hardware, software, techniques, and concepts that are useful to scholars working with sound – be it music, voices, soundscapes, or otherwise.
Workshop: “Understanding (&) Building on the Web with HTML/CSS” Monday, October 22nd, 2018 – 6:30 – 8:30pm
What’s a website? How does it work, and how can I build one from scratch? This workshop will address these basic questions and more as you begin building on the web. This workshop will introduce participants to HTML and CSS, the two languages used to write nearly 80% of all websites (whose markup language is known). By the end of this workshop, students will have a better understanding of how the web works, and will have the tools to begin creating sites on the web from scratch!
Workshop: “Understanding Machine Learning” Wednesday, October 24th, 2018 – 6:30 – 8:30pm
Machine learning is ever more present, both as a tool in many areas of academic research and as a technology that shapes modern society, an impact that is in itself a subject worthy of study. In this workshop we will start from the basics on what is a machine learning, model, its components and some key concepts to understand research in machine learning. The workshop will offer hands on examples of some machine learning models with the popular scikit learn toolkit (a python toolkit included in anaconda). I will also introduce concepts related to the problematics around machine learning in today’s world (model transparency, bias, etc).