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VERSION:2.0
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NAME:Research Like a Software Engineer - Organizing Your Projects Like App
 lications
X-WR-CALNAME:Research Like a Software Engineer - Organizing Your Projects 
 Like Applications
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TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
LAST-MODIFIED:20260429T222214Z
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DTSTART:19700329T020000
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TIMEZONE-ID:Europe/Berlin
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BEGIN:VEVENT
UID:event-264@correlaid.org
SEQUENCE:0
DTSTAMP:20260624T010223
DTSTART;TZID=Europe/Berlin:20260708T190000
DTEND;TZID=Europe/Berlin:20260708T210000
SUMMARY:Research Like a Software Engineer - Organizing Your Projects Like 
 Applications
LOCATION:Online
DESCRIPTION:This workshop explores how software engineering practices can 
 improve data science research by building a reproducible project using Pyt
 hon and PostgreSQL. Travis guides participants through developing a CLI-ba
 sed research application to analyze travel times to parks in Berlin using 
 census and OpenStreetMap data\, and then packaging and sharing the full pi
 peline for reproducible research.\n\nConducting research for data science 
 research often involves handling a variety of data sources and analysis me
 thods that can quickly become quite complex. The desire to easily share an
 d reproduce this research adds to this complexity. This is where using the
  same tools and methodologies from software engineering can help.\n\nIn th
 is workshop\, Travis will share his experience of being both a software en
 gineer and a social science researcher. By building an example project usi
 ng Python and PostgreSQL\, we'll go over the following items:\n\n- Buildin
 g a research application by creating our very own CLI tool\n- Designing a 
 PostgreSQL database to power our research application\n- Using tools like 
 QGIS and pgAdmin to read from our database for exploratory data analysis\n
 - Enabling reproducibility by packaging and sharing our software\n\nTo ill
 ustrate how all of this comes together\, we walk through an example projec
 t where we research travel times to parks within the city of Berlin. We'll
  use data from the 2022 German Census and OpenStreetMap as the basis for t
 he study. The tutorial will focus on how to import and organize this data 
 into our database as well as adding new tables for measuring travel times.
  At the end\, we'll package everything up and share it with the world.\n\n
 Prior to the tutorial\, **please ensure you have git** (https://git-scm.co
 m/) **and the pixi package manager**  (https://prefix.dev/) **installed on
  your computer.**\n\nTravis currently works as a software engineer where h
 e works on the conda package manager. But before that\, he completed two d
 egrees in the field of social science which gives him a unique perspective
  on both fields. In this workshop\, Travis wants to share these unique exp
 eriences with you and share how you can better organize your research appl
 ications.\n\nRegistration: https://pretix.eu/correlaid/com-ws-research/\n\
 nView more at: https://correlaid.org/en/events/community-ws-research
URL;VALUE=URI:https://correlaid.org/en/events/community-ws-research
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