The workshop includes a collection of invited talks, short contributions by the organizers as background work, and a discussion session aimed at defining the field of network reconstruction, release of a challenge dataset that embodies multiple facets of network reconstruction, and proposals for collaborative efforts aimed at adapting algorithms developed in diverse contexts toward network reconstruction goals. A workshop handout summarizing agenda and abstracts is also available.

Schedule
8:30	Welcome and introduction Network reconstruction from dynamic data   Workshop organizers
8:40	Invited talks
	Computer and communications networks: assessing and monitoring quality of service   Vijay Nair (University of Michigan)
	Estimating traffic intensities in a communication network via active network tomography   Vinod Sharma (Indian Institute of Science)
	Remembrance of experiments past: analyzing time course datasets to discover complex temporal invariants   Bhubaneshwar Mishra (NYU)
	Probabilistic models for discovering temporal semantic social networks   C. Lee Giles (Penn State)
10:00	Break
10:30	Short papers by organizers
	Reconstructing partial orders from linear extensions   P.L. Fernandez, L.S. Heath, N. Ramakrishnan, and J.P. Vergara
	Discovering network patterns in micro-electrode array data   D. Patnaik, P.S. Sastry, and K.P. Unnikrishnan
10:50	Panel Discussion by Invited Speakers "Network" Neuroscience Grand challenge datasets
11:30	Discussion by all participants Establishing the field Proposals for collaborative efforts
12:30	Adjourn