General Introduction to the D-Lab

This orientation workshop is designed to familiarize researchers with the D-Lab and the range of social science methods and software it supports through training and consultation. By the end, students will know how to use D-Lab's services, including how to book free consultations, register for trainings, receive email updates, organize working groups, reserve spaces for research work, and even work for the D-Lab as a consultant or services coordinator. Come one and all! 

Visualizing Data -- Theory and Best Practices

This 2-part workshop will cover theory and techniques for maximizing the effectiveness of figures used for visualizing information. Rather than teaching any particular visualization software, this course will teach students about the "nuts and bolts" of effective data visualization. Dr. Samuel will demonstrate the visualization of data using historical and modern examples as motivators, providing knowledge of best practices for designing figures for varying purposes – e.g. presentation vs. publication and using data to influence policy. 

Education Data

This workshop will provide an introduction to the myriad of education data sources available for analysis. Discussion will include national and international data that are both public- and restricted-use. 

ArcGIS to Grasshopper

Using Grasshopper and Finches, a plugin for Grasshopper, we will experiment with importing GIS shp files into Grasshopper for further manipulation. We will import and manipulate shp files, create design proposals based on local conditions, and analyze data by overlaying datasets in 3D and 4D. First, the workshop will introduce the general workshop for interconnecting files and software from 2 different design domains. Second, we will introduce the data structure and data manipulation necessary for working with GIS files in Grasshopper.

Data Visualization in Grasshopper

In this workshop, we will use grasshopper, a graphical scripting interface for Rhino, as an engine to parse and related diverse data sets with each other, and create a wide range of data visualizations. Emphasis will be placed on the interdisciplinary applications for data visualization. The data visualizations will aim to provide and create new unforeseen relationships between different data sets and conditions. We will experiment with different scales of data, from an urban scale, to an atomic scale. We will work with tabular data (csv files), and web data (JSONS, geoJSONS). 

Webscraping

This workshop will cover how to create, customize, and run a web scraper using python and scrapy.  We will learn how to locate and extract data from HTML web pages using the Document Object Model.  Finally, we will learn how to visualize the scraped urban data spatially with QGIS.

Georeferencing with QGIS

In this workshop we will learn about the basic concepts involved in georeferencing and get some hands-on experience with the process in QGIS, a free, open-source GIS tool. Georeferencing involves “spatializing” scanned maps or aerial imagery so that they can be used in a GIS. We will cover the basics of topics such as projections, coordinate systems, and the theory behind georeferencing. We will also spend some time practicing geo-referencing.

Webscraping Introduction

This is an overview presentation of using web scraping for urban data.  How does web scraping work and what are the issues surrounding it?  I will present on some of my prior work creating, customizing, and running a scraper.  Finally, I will demonstrate how to visualize the scraped data. This is a presentation talk of web scraping and does not require attendees to bring a computer.

Grasshopper Introduction

In this presentation, we will introduce Grasshopper, a graphic algorithmic interface. Originally conceived as a tool for designers, due to its ease of learning and capability to handle data, its potential goes beyond the design domain. We will show usage examples that can be related to a number of fields, and stress an interdisciplinary approach to data analysis and data visualiztion. We will show algorithmic processes for importing GIS data, and tabular data into Grasshopper, and go over potentials for interrelating different datasets and creating new ones.

Intro to Grasshopper (Intensive)

In this intensive workshop we will introduce the general workflow in grasshopper, a graphical scripting interface for Rhino. We will introduce the general commands and data-types, list and data management in Grasshopper, and an overview of computational geometry. We will begin with a brief history and overview of the interface, and continue with and overview of data management, data inheritance, and different methods for bringing in data to grasshopper. Topics will include creation of data driven geometry creation, and basic 3D data visualization.

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