Note to all attendees: Session leaders will contact you with additional information, including a meeting link, for each individual workshop, event, or demonstration. 

  • Working with Open Data – intro to APIs

    Columbia (Butler Library room 208B) 535 West 114th St, New York, NY, United States

    There is so much data out on the web, knowing how to use APIs will let you explore and collect data in a reliable and efficient way. We will use Python to get data from New York Times archive. Equipment: Laptop, Anaconda Prerequisites: Familiarity with Python and Anaconda    

    Free
  • Digital Tools for Teaching Undergraduate Research: A GIS History of NYC Theatre

    Columbia (Butler Library room 208B) 535 West 114th St, New York, NY, United States

    In this session we will share the design and implementation of a digital mapping project used in an undergraduate class in theater history. The independent research project utilizes ESRI Story Maps software--a free online GIS software for everyday users. As part of an interdisciplinary course on theater and architecture, students conduct research on historical sites around the city and enter the data into spreadsheets. [...]

    Free
  • Devotion in Virtual Reality: Rome’s Grottapinta – a Demonstration

    Columbia (Butler Library room 208B) 535 West 114th St, New York, NY, United States

    The madonnelle (street shrines) of Rome are vernacular expressions of religious devotion traced to the thirteenth century. Recent interventions, intended to restore the shrines as important cultural artifacts, inadvertently risk displacing their devotional communities. This demonstration presents an ongoing research project on the perception of a virtual replica of the Grottapinta, in the increasingly touristic [...]

    Free
  • NLP for non-data scientists – Event Extraction

    Columbia (Butler Library room 208B) 535 West 114th St, New York, NY, United States

    The amount of text data available is mind-boggling. We will explore programatic approaches to identify information about what happened and when it happened by gathering knowledge from text. Equipment: Python, Anaconda, Laptop Prerequisites: Working familiarly with Python  

    Free
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