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nyu-dh · Jun 26, 2023 · 4ca1da1 · 4ca1da1
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diff --git a/source/_news/2023-06-20-FORC-Pilot.md b/source/_news/2023-06-20-FORC-Pilot.md
@@ -2,10 +2,11 @@
 title: Data Skills Immersion Training for Graduate Students
 category: announcement
 date: 2023-06-20
+author: Arts & Sciences Office of Educational Technology
 tags:
   - training
   - digital research
-abstract: "NYU Libraries Data Services and IT, GSAS Master's College, and the Arts&Sciences Office of Ed Tech will launch The Foundations of Research Computing (FORC) Camp in August 2023."
+abstract: "NYU Libraries Data Services and IT, GSAS Master's College, and the Arts & Sciences Office of Ed Tech will launch The Foundations of Research Computing (FORC) Camp in August 2023."
 ---  
 
 The Data Services division of NYU Libraries and IT, the Graduate School of Arts & Science Master’s College, and the Arts & Sciences Office of Ed Tech is excited to launch a new training opportunity for graduate students! The [Foundations of Research Computing (FORC) Camp](https://sites.google.com/nyu.edu/forc-camp/home) is a pilot three day data skills immersion program that will be offered August 23-25, 2023. FORC will target A&S Master’s College students but be open to any NYU graduate student as capacity permits (limit is 40 students per track). There is something for everyone, from creating visualizations that require no coding skills to data harvesting and statistical analysis.
@@ -14,11 +15,9 @@ Getting a grounding in foundational data skills early in researchers’ careers
 
 FORC will allow students to choose one of three tracks: 
 
-[Telling Stories with Data (Noncoding)](https://sites.google.com/nyu.edu/forc-camp/home#h.b6mil9dg85ip)
-
-[Intro to Coding: Practical Python for Research Applications](https://sites.google.com/nyu.edu/forc-camp/home#h.dmd7uxth9lpc)
-
-[Advancing Your Quantitative Analysis Skills Using R](https://sites.google.com/nyu.edu/forc-camp/home#h.5g0o797kjad1)
+- [Telling Stories with Data (Noncoding)](https://sites.google.com/nyu.edu/forc-camp/home#h.b6mil9dg85ip)
+- [Intro to Coding: Practical Python for Research Applications](https://sites.google.com/nyu.edu/forc-camp/home#h.dmd7uxth9lpc)
+- [Advancing Your Quantitative Analysis Skills Using R](https://sites.google.com/nyu.edu/forc-camp/home#h.5g0o797kjad1)
 
 Each day’s schedule will include two to four hours of interactive instruction followed by a 90 minute office hours/tea time that offers opportunities for one on one consults, meeting with subject area librarians, and building connections within the cohort. An optional 90 minutes of homework will allow participants to apply digital skills to their own research for feedback from FORC instructors.