Scientific Program

Monday will be devoted to an introductory course about theoretical and practical aspects of the statistical analysis of compositional data. The workshop will run from Tuesday to Friday and will feature a number of distinguished keynote speakers, invited and contributed sessions and poster discussions. There will be no parallel sessions.

CoDaWork2026 schedule

Methods Microbiology Earth-sciences
Health Social sciences Invited talks
Poster session Breaks Activities

 

  Tuesday Wednesday Thursday Friday
9:00–9:20 Registration Kanjiradan et al. Erb et al. Mondon et al.
9:20–9:40 McKinley et al. Eilers Higgins
9:40–10:00 Opening ceremony Miatke et al. Tolosana-D Dos Santos et al.
10:00–10:20 Ascari et al. Morimoto Pavlů Araiz et al.
10:20–10:40 Comas-Cufí et al. Narayana et al. Saperas-R et al. Galván-F et al.
10:40–11:00 Czolková et al. Prinelli Sebatjane et al. Creus-Martí et al.
11:00–11:50 coffee break coffee break coffee break coffee break
11:50–12:10 Silva-Solar et al. Ferrer-R et al. Sevčíková et al. Awards and
Closing ceremony
12:10–12:30 Calle et al. Vega-B et al. Stanford et al.
12:30–12:50 Te Beest et al. Yoshida et al. Tang N et al.  
12:50–14:30 lunch lunch lunch  
14:30–15:30 Paul-Gauthier Excursion Genius  
15:30–15:50 Gijtenbeek et al. Fačevičová et al.  
15:50–16:10 Engle et al. Faugueras  
16:10–16:30 Valls Nakamura  
16:30–16:50 Wehner Oviedo-C et al.  
16:50–17:10 Rezaei et al. Skorna et al.  
17:10–17:30   Ricciotti et al.  
17:30–18:00 coffee break coffee break  
18:00–19:00 Poster session CoDa-Assoc.
G. Assembly		  

 

CoDaWork2026 general schedule

Monday

09:00 – 10:00 Registration
10:00 – 11:00 Introductory CoDa-Course. Instructors: Ortego MI, Galván-Femenía I
11:00 – 11:50 Coffee-break
11:50 – 12:50 Introductory CoDa-Course
12:50 – 14:30 Lunch
14:30 – 16:30 Introductory CoDa-Course
16:30 – 17:00 Coffee-break
17:00 – 19:00 Introductory CoDa-Course
19:00 – 21:30 Reception – Ice breaker

Tuesday

09:00 – 09:40 Registration
09:40 – 10:00 Opening ceremony

Methods I

Chair: Fačevičová K

10:00 – 10:20 Ascari R, Fiori AM, Oliosi G, Pasquazzi L.
Compositional k-prototypes: a proposal for CoDa clustering with zeros
10:20 – 10:40 Comas-Cufí M, Martín-Fernández JA, Lama Zubiran P de la.
Local search heuristics for balance optimisation in compositional data analysis
10:40 – 11:00 Czolková A, Hron K, Greven S.
Functional principal component analysis of multivariate densities in Bayes spaces
11:00 – 11:50 Coffee-break

Microbiology I

Chair: Mateu-Figueras G

11:50 – 12:10 Silva-Solar S, Amann R, Knittel K.
Ecological succession of bacterial communities on single sand grains
12:10 – 12:30 Calle ML, Pujolassos M, Susin A.
Bias of compositional microbiome differential abundance testing
12:30 – 12:50 Te Beest DE, Mildau K, Engel B, Gort G, Lambert J, Swinkels SHN, van Eeuwijk FA.
Pairwise ratio-based differential abundance analysis of infant microbiome 16S sequencing data
12:50 – 14:30 Lunch

Keynote I

Chair: Tolosana-Delgado R

14:30 – 15:30 Paul-Gauthier N.
Dealing with multiclass and multiple hypotheses problems with the Aitchison geometry of the simplex

Earth Sciences I

Chair: Tolosana-Delgado R

15:30 – 15:50 van Gijtenbeek M, McKinley J, Ruffell A.
Using compositional data analysis to assess the applicability of geological databases as reference materials for urban forensic surface soil investigations
15:50 – 16:10 Engle M, Venzor Nava A, Sanchez D.
Assessing performance of compositional data analysis algorithms for the imputation of missing geochemical data to inform oil and gas wastewater re-use
16:10 – 16:30 Valls Alvarez RA.
Isometric log-ratio transformations for interpreting enzyme-leach geochemical signatures in volcanic terranes: insights from Hispaniola arc systems
16:30 – 16:50 Wehner M.
Using X-means and Imputation to Obtain Geologic Insights from Incomplete Inorganic Geochemical Data (XRF)
16:50 – 17:10 Rezaei S, Molayemat H, Torab FM.
A compositional approach to delineate fertile from barren veins in a gold mine
17:30 – 18:00 Coffee-break

Poster session

Chair: Comas-Cufí M

18:00 – 19:00 Poster session
  • Albuquerque T, Egozcue JJ, Pawlowsky-Glahn V, Carvalho P. Compositional singularity as a tool for mineral exploration strategy design
  • Almeida J. Compositional geostatistical mapping of carbonate lithological transitions using log-ratio coordinates
  • Araiz C, Erb I, Jin S, Grapotte M, Notredame C. Inferring feature-level significance from pairwise ratios in differential abundance analysis
  • Kanjiradan Veetil A, Dilip TR. Decoding the dynamics of female cancer mortality in India through compositional data analysis
  • Correia M, Pina P. Evaluating machine learning performance in compositional landscapes: a case Study on Antarctic vegetation mapping
  • Browne TS, Edgell DR, Gloor GB. Compositionality improves machine learning training for CRISPR cleavage prediction
  • Keivani F, Coenders G. Adapting Altman’s bankruptcy prediction model to the compositional data methodology
  • Fernández-Suárez J, Egozcue JJ, Pawlowsky-Glahn V. Weighted bivariate density analysis of randomly sampled geochemical data
  • Monti GS, Mateu-Figueras G, Pawlowsky-Glahn V, Egozcue JJ. Detecting outliers in compositional data using the logratio t model
  • Ortego MI, Pantaleoni Reluy N, Lantada N. Who bears the loss? A compositional look at disaster payouts in Catalonia
  • Porro F, Rapallo F, Sommariva S. Test for the individuation of a common subspace in compositional datasets with structural zeros
  • Sloth Carlsen A, Chen T, Groves T, Luke Cowie N, Brinch Ch, Keld Nielsen L. Isotopologue distributions are compositions
  • Ríos Martín I, Creus Martí I, Santonja FJ. A Bayesian support vector machine approach for compositional data classification
  • Tang W, Fačevičová K, Nordhausen K, Taskinen S. A critical comparison of handling zeros in high dimensional compositional count data
20:00 – 21:30 Fado Night Dinner (only for 50)

Wednesday

Health I

Chair: Calle ML

09:00 – 09:20 Kanjiradan Veetil A, Dilip TR.
Integrating compositional data analysis in cancer epidemiology: evaluating the cancer transition in India
09:20 – 09:40 McKinley JM, Räsänen-Young C, Mueller U, Mullineaux S, Hill C, McGuinness B, Hunter R, McKnight AJ.
Exploring how our biology changes in response to environmental stimuli to detect biomarkers of renal disease: A compositional approach
09:40 – 10:00 Miatke A, Smith A, Dumuid D, Stanford T et al.
Socioeconomic status and cognitive function in later life: examining 24-h time-use composition as a potential mediator
10:00 – 10:20 Morimoto J.
Why nutrition data are compositional
10:20 – 10:40 Narayana JK, Chotirmall SH.
The cost of ignoring compositionality: CoDA unmasks treatment effects in COPD clinical trials
10:40 – 11:00 Prinelli F.
Animal and plant protein intake and all-cause mortality: A 24-year compositional analysis in a population-based cohort
11:00 – 11:50 Coffee-break

Social Sciences

Chair: McKinley J

11:50 – 12:10 Ferrer-Rosell B, Martin-Fuentes E, Petronella Swart M, Thirumaran K.
When luxury derails: shifting patterns of tourist dissatisfaction on luxury trains
12:10 – 12:30 Vega Baquero JD, Santolino M.
Proportionality between allocations in asset management
12:30 – 12:50 Yoshida T, Yamada I.
Moran’s I for compositional data: A measure of spatial auto- and cross-correlations
12:50 – 14:30 Lunch
14:30 – 19:00 Excursion: Old Town and University Library

Thursday

Methods II

Chair: Ferrer-Rosell B

09:00 – 09:20 Erb I, Ay N.
Quantifying scale-free information in pairwise associations of variables for counts and density data
09:20 – 09:40 Eilers P.
Generalised TrioScale for transformation and modelling of compositional data
09:40 – 10:00 Tolosana-Delgado R.
Subcompositions-based tree methods
10:00 – 10:20 Pavlů I, Tolosana-Delgado R, Templ M, van den Boogaart KG.
Analysing distributional and density data using the Bayes space framework in R
10:20 – 10:40 Saperas-Riera J, Lama Zubiran P de la, Martín-Fernández JA.
Some thoughts on L1-type penalisation norms in convex clustering for compositional data
10:40 – 11:00 Sebatjane P, Lubbe, le Roux N.
Calibrating centered log-ratio biplots
11:00 – 11:50 Coffee-break

Health II

Chair: Erb I

11:50 – 12:10 Sevčíková P, Gába A, Dumuid D, Pedišić Z, Machalová J, Pelclová J, Hron K.
Functional future of health science
12:10 – 12:30 Stanford T, Mellow M, Robins B, Smith AE, Dumuid D.
Personalised prediction of cognitive outcomes and traffic lights to signal positive changes in time-use composition
12:30 – 12:50 Tang N, Huang J.
First application of CoDA to the high-dimensional (HD) biological data matrices of single-cell RNA-sequencing (CoDA-hd R package)
12:50 – 14:30 Lunch

Keynote II

Chair: J Palarea

14:30 – 15:30 Genius Serra P.
CoDa in neuroimaging studies: exploring its application to identify early brain changes in Alzheimer’s Disease

Methods III

Chair: J Palarea

15:30 – 15:50 Fačevičová K, Rieser C, Filzmoser P.
Cellwise robust covariance estimation for compositions
15:50 – 16:10 Faugeras OP.
Log-free divergence and covariance matrix for compositional data I: The affine/barycentric approach
16:10 – 16:30 Nakamura K.
Visualizing symmetric and skew-symmetric interactions in square compositional tables
16:30 – 16:50 Oviedo Caro MA, Stanford T, Miatke A et al.
A trajectory-based clustering approach to intra-week time-use compositions
16:50 – 17:10 Skorna S, Machalová J.
Spline approximation of probability density functions
17:10 – 17:30 Ricciotti L, Giordano S, Maruotti A.
A latent class approach for dynamic clustering of compositional data
17:30 – 18:20 Coffee-break
18:20 – 19:00 General Assembly CoDa-Association
19:00 – 21:30 CoDaWork-dinner

Friday

Methods IV

Chair: Gloor GB

09:00 – 09:20 Mondon C, Thi Trinh H, Martín-Fernández JA, Thomas-Agnan C.
Testing mean densities with an application to climate change in Vietnam
09:20 – 09:40 Higgins P.
Compositional monitoring of energy-mix drift on the simplex

Microbiology II

Chair: Gloor GB

09:40 – 10:00 Santos SJ, Murariu AC, Silverman J, Gloor GB.
Accounting for scale controls for false discovery rate in the analysis of high throughput sequencing data
10:00 – 10:20 Araiz C, Erb I, Jin S, Grapotte M, Notredame C.
Inferring feature-level significance from pairwise ratios in differential abundance analysis
10:20 – 10:40 Galván-Femenía I, Palarea-Albaladejo J.
Compositional modelling of mutational signatures for survival prediction in cancer
10:40 – 11:00 Creus-Martí I, Comas-Cufí M, Palarea-Albaladejo J.
Modelling longitudinal microbiome data subject to time-varying treatment regime through low-dimensional projection
11:00 – 11:50 Coffee-break
11:50 – 12:30 Awards & Closing ceremony