Spring 2017 Research Data Visualization Series

The annual spring digital research workshop series is now in its third year since it was first introduced. These workshops are intended for beginners, with no prior skillsets required. The workshops will be more instructional than hands-on, so attendees are not required to have access to a laptop.

UCLA’s Institute for Digital Research and Education (https://idre.ucla.edu/) and the UCLA Library (http://www.library.ucla.edu) are co-sponsoring these three-part workshop series on mapping. RSVPs are required, but these sessions are free and open to all members of the campus community.

Filmmakin’: Equipment, shooting and editing

When: Friday, 2:00pm – 5:00pm, May 5, 2017 [TBS_BUTTON class=”btn-sm btn-warning” link=”https://idre.ucla.edu/calendar-event/filmmakin-equipment-shooting-editing#rsvp”]RSVP for Part 1[/TBS_BUTTON]
Where: Young Research Library, West Electronic Classroom on the Second Floor (23167 Charles E. Young Library)
This workshop is for those who want to use film as a method of research, whether in creating a documentary film, or to collect qualitative data through interviews. The workshop will cover the basics on what equipment to use, how to shoot an interview, B Roll, and verite footage. Using Adobe Premiere Pro, this workshop will also cover the basics video editing, from creating a project, importing media, editing clips, adding transitions and effects, working with titles, working with audio, and outputting a finalized video file.

Web Scrapin’: Focus on Python

When: Friday, 2:00pm – 5:00pm, May 12, 2017 [TBS_BUTTON class=”btn-sm btn-warning” link=”https://idre.ucla.edu/calendar-event/web-scrapin-focus-python#rsvp” title=”RSVP”]RSVP for Part 2[/TBS_BUTTON]
Where: “Portal” Math Sciences, Room 5628
Starting with a simple introduction to Python, this workshop will demonstrate how to turn structured data from any website into a csv file. Topics include the following: identifying appropriate websites, installing Python, tweaking Python code, and examining the data output.

Story Mappin’

When: Friday, 2:00pm – 5:00pm, May 19, 2017 [TBS_BUTTON class=”btn-sm btn-warning” link=”https://idre.ucla.edu/calendar-event/story-mappin#rsvp” title=”RSVP”]RSVP for Part 3[/TBS_BUTTON]
Where: “Portal” Math Sciences, Room 5628
The workshop will teach a platform in which to showcase projects. Ranging from CartoDB to ESRI’s Story Maps, this workshop will cover: using tabular data for mapping, converting data into a digital web map, and creating a narrative structure using story maps.

3D Animatin’: Focus on Adobe After Effects

When: Thursday, 2:00pm – 5:00pm, May 25, 2017 [TBS_BUTTON class=”btn-sm btn-warning” link=”https://idre.ucla.edu/calendar-event/3d-animatin-focus-adobe-effects#rsvp” title=”RSVP”]RSVP for Part 4[/TBS_BUTTON]
Where: “Portal” Math Sciences, Room 5628
This workshop will go through how to import and creating 3D models from Maya for animating in Adobe After Effects. Basic skills to be covered are converting models, rotating models, and animating motion.

A focus on Mapping Data Sources

When: Friday, 5:00pm – 7:00pm, May 9, 2017 [TBS_BUTTON class=”btn-sm btn-warning” link=”https://idre.ucla.edu/calendar-event/focus-mapping-data-sources#rsvp” title=”RSVP”]RSVP for Part 1[/TBS_BUTTON]
Where: Young Research Library, West Electronic Classroom on the Second Floor (23167 Charles E. Young Library)
Having a hard time finding a data source? This workshop will go over strategies for locating and using a variety of open and proprietary data sources, including Social Explorer, SimplyMap, PolicyMap, EVGeoCloud, and Los Angeles Open Data.

A focus on Mapping with ArcGIS

When: Friday, 5:00pm – 7:00pm, May 16, 2017 [TBS_BUTTON class=”btn-sm btn-warning” link=”https://idre.ucla.edu/calendar-event/focus-mapping-arcgis-v2#rsvp” title=”RSVP”]RSVP for Part 2[/TBS_BUTTON]
Where: Young Research Library, West Electronic Classroom on the Second Floor (23167 Charles E. Young Library)
This workshop will go over step-by-step how to create a map using ArcGIS. We will discuss spatial joins, styling data, and how to utilize basic spatial tools. Data will be provided.