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_sources/workshop/2018.rst.txt

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(Data Analysis and Visualization, Lawrence Berkeley National Laboratory)
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- `Rajarshi Mukherjee <https://www.ocf.berkeley.edu/~rajarshi/>`_
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(Biostatistics, UC Berkeley)
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- `Soumendu Mukherjee <https://www.stat.berkeley.edu/~soumendu/>`_
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(Statistics, UC Berkeley)
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- `Erica Newman <https://ericanewmanecology.wordpress.com/>`_
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(Natural Resources and the Environment, University of Arizona)
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- `M Pacer <https://mpacer.org/>`_
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Abstracts
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=========
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.. _ponisio:
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Understanding the ecology and evolution of communities through networks
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-----------------------------------------------------------------------
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| **Lauren Ponisio**
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Prior to the use of networks to model community-level interactions between
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species, ecology and evolution often focused on pair-wise interactions, which
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vastly limited the scope of inference. Network theory has enabled ecologists to
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uncover common topologies across different types of interactions and overturn
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misconceptions about the ubiquity of specialization in interactions. In
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addition, models of network stability has enabled us to make predictions about
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the robustness of communities to species loss and perturbations. The next step
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to further our understanding of the dynamics of ecological communities include
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methods to 1) compare networks beyond collapsing their topology into
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quantitative metrics, 2) combine different types of networks (i.e, pollination,
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seed dispersal, predation), 3) incorporate metadata into interaction strength
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and node roles. In addition, ecological data still relies on tedious data
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collection by humans---innovations in metabarcoding and image processing will
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also propel our understanding of ecological interactions forward.
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.. _newman:
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Ecology talk
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------------
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| **Erica Newman**
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TBD
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.. _schild:
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A brief history of graph algorithms using spectral graph theory, part I
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-----------------------------------------------------------------------
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| **Aaron Schild**
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Spectral graph theory started in the 80s, when Cheeger's inequality was used as
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a means for constructing sparse and balanced cuts in a graph. In the 2000s, our
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field moved on from studying specific eigenvalues to studying the whole
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spectrum of the Laplacian matrix with fast Laplacian solvers. To obtain fast
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Laplacian solvers, we needed to sparsify graphs, for which we exploited
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concentration phenomena of random matrices. In the 2010s, improvements to these
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tools led to improvements on a wide variety of problems, like maximum flow,
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travelling salesman (both symmetric and asymetric), and random spanning tree
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generation. In this talk, we briefly survey this chain of events and suggest
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some future directions.
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.. _mckenzie:
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A brief history of graph algorithms using spectral graph theory, part II
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------------------------------------------------------------------------
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| **Theo McKenzie**
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TBD
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.. _hagberg:
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Connecting graph data, algorithms, and software
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-----------------------------------------------
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| **Aric Hagberg**
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TBD
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.. _buluc:
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Graph abstractions in computational genomics
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--------------------------------------------
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| **Aydin Buluc**
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Relationships among entities in genomics, such as proteins, DNA sequences, or
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genetics markers, are often represented as graphs. Graph abstraction helped
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solve many important computational genomics problems from building linkage maps
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to genome assembly. In this talk, I will give a short overview on the
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characteristics of the graphs that arise in key computational genomics tasks as
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well as the fundamental algorithmic questions that are addressed using those
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graphs.
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.. _varoquaux:
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Computational biology
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---------------------
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| **Nelle Varoquaux**
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TBD
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.. _arnemann:
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Functional brain networks
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-------------------------
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| **Katelyn Arnemann**
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TBD
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.. _scott:
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Assembly graphs
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---------------
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| **Camille Scott**
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TBD
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.. _fountoulakis:
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Local graph clustering and methods
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----------------------------------
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| **Kimon Fountoulakis**
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TBD
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.. _kyng:
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Laplacian linear system solvers, their generalizations to other linear systems, and their applications
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------------------------------------------------------------------------------------------------------
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| **Rasmus Kyng**
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TBD
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.. _schmidt:
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Graphs in linear regression problems
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------------------------------------
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| **Ludwig Schmidt**
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TBD

_sources/workshop/agenda-2018.rst.txt

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March 27
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--------
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4-
+--------------+---------------+
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| Time | Activity |
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+==============+===============+
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| 9:00--9:30 | **Breakfast** |
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+--------------+---------------+
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| 9:30--10:00 | Welcome |
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+--------------+---------------+
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| 10:00--10:30 | Talk |
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+--------------+---------------+
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| 10:30--11:00 | Talk |
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+--------------+---------------+
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| 11:00--11:30 | **Tea** |
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+--------------+---------------+
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| 11:30--12:00 | Talk |
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+--------------+---------------+
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| 12:00--12:30 | Talk |
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+--------------+---------------+
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| 12:30--2:00 | **Lunch** |
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+--------------+---------------+
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| 2:00--3:00 | Talk |
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+--------------+---------------+
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| 3:00--3:30 | Talk |
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+--------------+---------------+
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| 3:30--4:00 | **Tea** |
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+--------------+---------------+
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| 4:00--4:30 | Talk |
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+--------------+---------------+
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| 4:30--5:00 | Talk |
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+--------------+---------------+
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| 5:00--7:00 | BBQ |
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+--------------+---------------+
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+--------------+-----------------------------------+
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| Time | Activity |
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+==============+===================================+
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| 9:00--9:30 | **Breakfast** |
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+--------------+-----------------------------------+
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| 9:30--10:00 | Welcome |
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+--------------+-----------------------------------+
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| 10:00--10:30 | Lauren Ponisio, :ref:`ponisio` |
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+--------------+-----------------------------------+
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| 10:30--11:00 | Erica Newman, :ref:`newman` |
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+--------------+-----------------------------------+
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| 11:00--11:30 | **Tea** |
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+--------------+-----------------------------------+
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| 11:30--12:00 | Aaron Schild, :ref:`schild` |
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+--------------+-----------------------------------+
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| 12:00--12:30 | Theo McKenzie, :ref:`mckenzie` |
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+--------------+-----------------------------------+
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| 12:30--2:00 | **Lunch** |
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+--------------+-----------------------------------+
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| 2:00--3:00 | Aric Hagberg, :ref:`hagberg` |
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+--------------+-----------------------------------+
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| 3:00--3:30 | Aydin Buluc, :ref:`buluc` |
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+--------------+-----------------------------------+
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| 3:30--4:00 | **Tea** |
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+--------------+-----------------------------------+
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| 4:00--4:30 | Nelle Varoquaux, :ref:`varoquaux` |
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+--------------+-----------------------------------+
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| 4:30--5:00 | Katelyn Arnemann, :ref:`arnemann` |
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+--------------+-----------------------------------+
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| 5:00--7:00 | BBQ |
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+--------------+-----------------------------------+
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March 28
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--------
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+--------------+---------------+
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| Time | Activity |
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+==============+===============+
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| 9:00--9:30 | **Breakfast** |
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+--------------+---------------+
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| 9:30--10:00 | Talk |
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+--------------+---------------+
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| 10:00--11:00 | Talk |
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+--------------+---------------+
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| 11:00--11:30 | **Tea** |
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+--------------+---------------+
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| 11:30--12:00 | Talk |
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+--------------+---------------+
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| 12:00--12:30 | Talk |
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+--------------+---------------+
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| 12:30--2:00 | **Lunch** |
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+--------------+---------------+
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| 2:00--3:00 | Discussion |
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+--------------+---------------+
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| 3:00--3:30 | **Tea** |
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+--------------+---------------+
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| 3:30--5:00 | TBD |
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+--------------+---------------+
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+--------------+-----------------------------------------+
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| Time | Activity |
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+==============+=========================================+
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| 9:00--9:30 | **Breakfast** |
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+--------------+-----------------------------------------+
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| 9:30--10:00 | Camille Scott, :ref:`scott` |
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+--------------+-----------------------------------------+
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| 10:00--11:00 | Kimon Fountoulakis, :ref:`fountoulakis` |
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+--------------+-----------------------------------------+
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| 11:00--11:30 | **Tea** |
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+--------------+-----------------------------------------+
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| 11:30--12:00 | Rasmus Kyng, :ref:`kyng` |
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+--------------+-----------------------------------------+
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| 12:00--12:30 | Ludwig Schmidt, :ref:`schmidt` |
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+--------------+-----------------------------------------+
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| 12:30--2:00 | **Lunch** |
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+--------------+-----------------------------------------+
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| 2:00--3:00 | Discussion |
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+--------------+-----------------------------------------+
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| 3:00--3:30 | **Tea** |
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+--------------+-----------------------------------------+
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| 3:30--5:00 | TBD |
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+--------------+-----------------------------------------+
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