Link the leadership directory (#786)

Author: krassowski

about.html

@@ -8,6 +8,7 @@
   - Project Jupyter is a non-profit, open-source project, born out of the <a href="https://ipython.org">IPython Project</a> in 2014 as it evolved to support interactive data science and scientific computing across all programming languages. Jupyter will always be 100% open-source software, free for all to use and released under the liberal terms of the <a href="https://opensource.org/licenses/BSD-3-Clause">modified BSD license</a>.
   - Jupyter is developed in the open on GitHub, through the consensus of the Jupyter community. For more information on our governance, please see our <a href="https://jupyter.org/governance/">governance documentation</a>.
   - All online and in-person interactions and communications directly related to the project are covered by the <a href="https://jupyter.org/governance/conduct/code_of_conduct.html">Jupyter Code of Conduct</a>. This Code of Conduct sets expectations to enable a diverse community of users and contributors to participate in the project with respect and safety.
+  - Selected Jupyter governing bodies and their members are listed below, along with the distinguished contributors. For the full list of people who currently contribute or have in the past contributed to Jupyter governance, see the <a href="https://jupyter.org/governance/people.html">Leadership Directory</a>.
 
 ec_copy: |
   The <a href="https://jupyter.org/governance/executive_council.html">Executive Council</a> (EC) is ultimately responsible for all dimensions of the Project (including, but not limited to, software, legal, financial, community, operations, inclusion and diversity, etc.). The members of the EC actively work to carry out the Project’s mission in accordance with its values and to support operations through delegation to the Software Steering Council (SSC), Software Subprojects, Standing Committees, and Working Groups. These other bodies will report to the EC, and the EC is expected to support, oversee, manage, and ensure the success of operations across Jupyter.