Chania, Greece, May 2427, 2016
The conference was held in the impressive historic building of the Grand Arsenal, built by the Venetians in the 1600s. The building, which has been fully renovated and currently houses the Center of Mediterranean Architecture, includes a modern amphitheater of 150 people capacity, with all the required amenities, including modern audiovisual equipment and wifi connection.
Awards
The 2016 prize (an iPad) for best poster was awarded to Thibault Kuntzer (EPFL) for his poster on Stellar classification from singleband imaging using machine learning.
Programme
The abstract book and the final program are available here: abstract_bookCosmo21_V2.3
The emphasis of the conference is on advances and methodological challenges in cosmology, and new results derived from advanced data analysis and modeling methods. Cosmology is entering a new area which will require processing of huge data sets, and measurements at the subpercent level of accuracy in order to answer fundamental cosmological questions such as the nature of dark matter, dark energy and gravity. As ever, statistics will inevitably play a fundamental role in understanding the new generation of data, but with additional challenges of everincreasing datasets and large parameter spaces.
Topics
 Cosmic microwave background: nonGaussianity, component separation methods.
 Weak lensing: galaxy shape measurements, projected mass density map reconstruction, threedimensional mapping of the dark matter, high order statistics, Euclid, LSST.
 Largescale structure
 High redshift supernovae.
 Mapping highz 21cm radiation
 Lymanalpha forest
 Astronomical discovery from overwhelmingly large datasets: BOSS, EUCLID, PAU, LAMOST, LOFAR, SKA, LSST and others.
 Statistical methods used in astronomical data analysis (including new developments coming from fertile crossinteractions in astrostatistics). A preliminary list of these methods is included below:
 Bayesian methods, evidence, model selection.
 Multivariate classiﬁcation and clustering.
 Sparsity: wavelets, compressive sampling, 2D and 3D data representations.
 Machine learning for large multivariate datasets: Kernel regression, Support Vector Machine, neural networks, supervised learning.
There will be several sessions during the conference. Each session will have at least one keynote speaker, and half of the talks will be contributed talks. The crossdisciplinary nature of the symposium is reflected in the inclusion of speakers from the statistics community in the suggested list.
KEYNOTE SPEAKERS

Shirley Ho, Carnegie Mellon University, US  Large Scale Structures 
Alexie Leauthaud, University of Tokyo, Japan  Weak Lensing 
David Spergel, Princeton University, US  Cosmic Microwave Background 
Roberto Trotta, Imperial College, London, UK  Bayesian Methodology 
Pierre Vandergheynst, EPFL University, CH  Data & Graphs 
INVITED SPEAKERS

Tania Regimbau, Nice Observatory, FR  Gravitational Waves 
Alice Pisani, CPPM, AixMarseille Univ., FR  Large Scale Structures, Voids 
Benjamin Joachimi, UCL, UK  Large Scale Structures 
Valeria Pettorino, Univ of Heidelberg, GER  CMB, modified gravity 
Yabebal Fantaye, Univ of Rome, IT  CMB lensing 
COSMO21 PROGRAM
Tuesday  May 24th, 2016 
Session 1: Cosmology and Statistical Information I 
Chair: JeanLuc Starck 
14:00  14:20  Vassilis Charmandaris  Welcome 
14:20  15:00  David Spergel, Keynote  WFIRST and the next generation of Surveys 
15:00  15:30  Valeria Pettorino Invited  Dark Energy and Modified Gravity after Planck 
15:30  15:50  Caitlin Adams  Beating cosmic variance in the low  redshift universe 
15:50  16:10  Adam Amara  Information from Cosmology Experiments 
16:10  16:40  Coffee Break  
Session 2: Gravitational Waves  
Chair: Roberto Trotta  
16:40  17:20  Tania Regimbeau , Invited  Observation of Gravitational Waves from a Binary Black Hole Merger 
Poster Session 
17:20  19:00  Posters Session  
19:00  20:30  Cocktail 
Wednesday  May 25th, 2016  
Session 3: Bayesian Methods  
Chair: Alan Heavens  
09:00  09:40  Roberto Trotta, Keynote  Bayesian Hierarchical Models in Cosmology 
09:40  10:00  Cong Ma  Application of Bayesian Graphs to Type Ia Supernova Data Analysis and Compression 
10:00  10:20  Hikmatali Shariff  BAHAMAS: new SNIa analysis reveals inconsistencies with standard cosmologyf 
10:20  10:40  Kaisey Mandel  Hierarchical Bayesian Models for Type Ia Supernova Intrinsic Variations and Host Galaxy Dust 
10:40  11:10  Coffee Break  
Session 4: Cosmology and Statistical Information II  
Chair: Adam Amara  
11:10  12:40  Benjamin Joachimi, Invited  Small errors for big surveys 
11:40  12:00  Didier FraixBurnet  Multivariate classification of galaxies: which observables? 
12:00  12:20  Andriy Olenko  On Minkowski functionals of random fields 
12:20  12:40  Steven Murray  Accounting for Eddington bias in observed mass functions using hierarchical Bayesian likelihoods 
12:40  14:00  Lunch Break  
Session 5: Survey & Statistics  
Chair: David Spergel  
14:0  14:40  Shirley Ho, Keynote  Digging in the Large Scale Structure of the Universe 
14:40  15:00  Mark Neyrinck  Sliced correlations: revealing density dependent clustering, and the correlation function’s statistical issues 
15:00  15:20  Jelena Aleksic  Digging Deeper in Imaging Surveys 
15:20  15:40  L. Raul Abramo  Fourier analysis of multitracer cosmological surveys 
15:40  16:00  Vicent Martinez  Joint constraints on galaxy bias and sigma8 through the Npdf of the galaxy number density 
16:00  16:20  Valeria Amaro  
16:20  16:50  Coffee Break  
Session 6: Machine Learning I  
Chair: Emile E. O. Ishida  
16:50  17:10  Boris Leistedt  Accurate photometric redshifts with no or shallow spectroscopic training data 
17:10  17:30  Alex Malz  Cosmological Inference Using Photometric Redshift Probability Distribution Functions 
17:30  17:50  Carlo Enrico Petrillo  Selection of strong gravitational lenses with convolutional neural networks 
20:30  00:00  Conference Dinner 
POSTER PRESENTATIONS
See also the COSMO21 best poster prize web page
P#  Presenter  Poster Title  
1  Amon  Alexandra  Testing Einstein's gravity with the gravitational slip statistic on cosmological scales 
2  Berlind  Andreas  Accurate Modeling of Galaxy Clustering on Small Scales through Data Simulation 
3  Ballardini  Mario  Constraints on Induced Gravity: reproducing the cosmic acceleration with a scalartensor model 
4  Ballardini  Mario  Probing violations of slowroll inflation with future galaxy surveys 
5  Baxter  Eric  Joint Measurement of LensingGalaxy Correlations Using South Pole Telescope and Dark Energy Survey Data 
6  Beck  Robert  Automated classification of emission line galaxies using machine learning methods 
7  Beck  Robert  PhotozSQL: Integrated Ondemand Photoz Services in a Database 
8  Bird  Simeon  Minimally Parametric Power Spectra from BOSS Lymanalpha data 
9  Bunn  Emory F  Polarization predictions for cosmological models with broken statistical isotropy 
10  Caro  Fernando  Morphological classification of galaxies using deep learning 
11  Carucci  Isabella P.  Exploiting the 21cm power spectrum: forecasts for SKA on the warm dark matter and crosscorrelation with the Lymanalpha forest flux. 
12  Chan  Jennifer Y. H.  Cosmological polarised radiative transfer and diagnostics of largescale magnetic field structures 
13  Chan  Jennifer Y. H.  Secondgeneration curvelets on the sphere for efficient representation of elongated structure 
14  de Souza  Rafael S.  Beyond Gaussian: An overview of Bayesian Generalized Linear Models for Astronomers 
15  Demchenko  Vasiliy  A Test of Spherical Evolution of Cosmic Voids in ΛCDM 
16  Dupac  Xavier  The Planck Legacy Archive for cosmology 
17  Ebrahimpour  Leyla S.  Bayesian parametric and nonparametric characterisation of relations between galaxy cluster properties 
18  Farrens  Samuel  PSF Deconvolution For Future Weak Lensing Surveys 
19  Giblin  Benjamin  Results from the first 450 sq. degrees of the Kilo Degree Survey 
20  Gizani  Nectaria  Using diffuse radio emission in clusters of galaxies to probe the cosmic web, cosmic rays and dark matter 
21  Godłowski  Wlodzimierz  New method of investigation of the alignment of galaxies in clusters 
22  Han  Bo  A Divide and Conquer Approach Applied for Photometric Redshift Estimation 
23  Jamal  Sara  zBayes : Bayesian approach for the spectroscopic redshift estimation 
24  Kovács  András  Dark Energy illuminated by cosmic voids in the DES footprint 
25  Kovács  András  Cosmic troublemakers: the Cold Spot, the Eridanus Supervoid, and the Great Walls 
26  Kuntzer  Thibault  Stellar classification from singleband imaging using machine learning 
27  Lablanche  PierreYves  A MCMC method for supernova classification 
28  Lei  YaJuan  Spectral analysis of the SUZAKU data of GX 9+9 
29  Leistedt  Boris  3D weak lensing with spin wavelets on the ball 
30  Long  James  Near Field Cosmology with RR Lyrae Variable Stars 
31  Mak  Daisy  New measurement of CIB power spectra from Planck HFI maps 
32  Niemiec  Anna  Halo mass measurements of satellite galaxies in CFHT Stripe82 and CFHTLenS 
33  Nunez  Carolina  Photometric Selection of a Massive Galaxy Catalog with z≥ 0.55 
34  Peel  Austin  Cosmological constraints from peak counts in a Euclidlike simulation 
35  Petrakis  Manolis  NonStationary Covariance Functions for the Interpolation of Irregularly Sampled Data Sets 
35  Petrillo  Carlo Enrico  Selection of strong gravitational lenses with convolutional neural networks. 
36  Pignata  Giuliano  Supernovae photometric typing for the SUDARE survey 
37  Pratley  Luke  The Influence of Convolutional Gridding on Sparse Image Reconstruction for Radio Interferometry 
38  Racz  Gabor  An nbody simulation to estimate the effects of inhomogeneities on the expansion of the Universe 
39  Rémy  Joseph  Automated colourbased deblending of the Hubble Frontier Fields 
40  Renneby  Malin  The galaxyhalo relation through a lens of cosmological rescaling 
41  Rogers  Keir  SpinSILC: CMB polarisation component separation with spin directional wavelets 
42  Ruppin  Florian  Multiprobe analysis of high resolution observations of galaxy clusters by the NIKA camera 
43  Sánchez Gil  M. Carmen  Hierarchical Bayesian approach for estimating physical properties in spiral galaxies 
44  Schmit  Claude  3D Statistical Analysis of the Cosmic 21cm Signal 
45  Schmitt  Alain  AMAZED : Algorithm for Massive Automated Z Evaluation and Determination 
46  Schuhmann  Robert L.  Gaussianisation for Bayesian posterior distributions and model comparison in cosmology 
47  Smailagic  Marijana  A Model for Evolution of Lyα Blobs Number Density at z~ 16.6 
48  Sulis  Sophia  Statistical analysis of an extrasolar planet detection approach based on hydrodynamical simulations 
49  Tarrío  Paula  A matched filter approach for the joint detection of galaxy clusters in Xray and SZ surveys 
50  Tihhonova  Olga  Mapping the Mass Along the Line of Sight of Multiply Lensed Quasars 
51  Umiltà  Caterina  Pushing further component separation and improving Planck cosmological results 
52  Yu  Yu  Kriging Interpolating Cosmic Velocity Field 
53  Zhang  Yanxia  The Influence of Sample Selection on Photometric Redshift Accuracy 