Add mission statement to front page and about page

Author: emiliom

about/index.md

@@ -1,5 +1,9 @@
 # About
 
+```{epigraph}
+**OUR MISSION** is to meet, collaborate, and learn at the intersection of ocean and data sciences. We create vibrant, diverse, and inclusive communities that push the future of open science.
+```
+
 OceanHackWeek (OHW) is a 5-day collaborative learning experience aimed at exploring,
 creating and promoting effective computation and analysis workflows for
 large and complex oceanographic data. It includes tutorials, data exploration, software development, collaborative projects and community networking.

index.md

@@ -43,6 +43,10 @@ Go to OceanHackWeek 2023
 
 ## About OceanHackWeek
 
+```{epigraph}
+**OUR MISSION** is to meet, collaborate, and learn at the intersection of ocean and data sciences. We create vibrant, diverse, and inclusive communities that push the future of open science.
+```
+
 ```{image} assets/images/OHW21-collage-the3groups.jpg
 :alt: OHW21 in person and on Zoom
 :width: 280px
@@ -57,13 +61,6 @@ Its objectives are to:
 - Facilitate inclusive community building: Connect oceanographers across disciplines and career stages and cultivate an open science and a sharing culture.
 
 
-<!-- OceanHackWeek 2021 will take place as a hybrid in-person and virtual, online event. The in-person event will take place at the Bigelow Laboratory for Ocean Sciences, in East Boothbay, Maine (US EDT, UTC-4), as an all-day workshop (approximately 9am - 5pm). For the virtual event, formal daily activities will take place over a period of up to 3 hours per day. We expect to hold these sessions in at least two time zones, USA PDT (UTC-7) and Australian EST (UTC+10). -->
-
-<!-- ## Information For Applicants
-
-OceanHackWeek (OHW) 2021 will take place as a hybrid in-person and virtual, online event. Applications closed on June 28, 2021. In OceanHackWeek we will explore the intersection of data science and oceanography through tutorials and hands-on “hacking” projects. To best benefit from the program, participants are expected to have some experience with Python or R programming and data analysis. -->
-
-
 :::{admonition} Participant Quotes
 :class: note