@article{fdi:010091916, title = {{F}rom formulae, via models to theories : {D}ynamic {E}nergy {B}udget theory illustrates requirements}, author = {{K}ooijman, {S}alm and {K}earney, {M}. {R}. and {M}arn, {N}. and {S}ousa, {T}. and {D}omingos, {T}. and {L}avaud, {R}. and {R}{\'e}capet, {C}. and {K}lanjscek, {T}. and {Y}euw, {T}. and {M}arques, {G}. {M}. and {P}ecquerie, {L}aure and {L}ika, {K}.}, editor = {}, language = {{ENG}}, abstract = {{A}s sciences mature, they transition from observation and description to explanation and prediction. {T}his transition is associated with qualitative changes in the way quantitative mathematical formulations are constructed and interpreted, resulting in a 'theory'. {S}uch transitions from phenomenology to theory are happening in biology but the heuristic framework involved is rarely articulated. {W}e here describe how the use of models in research sets model requirements, using {D}ynamic {E}nergy {B}udget ({DEB}) theory to illustrate the more elaborate ones. {W}e first make the distinction between mathematical formulae and models based on their relation to the abstract and real worlds. {W}e then explain how the transition from models to theory affects model construction and parameter estimation, and discuss the concept of parameter estimation-in-context using the database {A}dd_my_{P}et on animal energetics. {T}he transition comes with the need to develop auxiliary and meta- theory and to work with multiple datasets, implying constraints for the loss function that is used for parameter estimation. {F}inally, we discuss the extra requirements for general explanatory models: they need to be explicit on relevant general principles and to be embedded in a wider scientific context. {W}e also discuss how we see theory's relationship to observation and prediction change in the future as we use it to deal with theoretical and applied problems in biology.}, keywords = {{M}odel plasticity ; {E}mpirical cycle ; {M}eta-theory ; {A}dd_my_{P}et collection}, booktitle = {}, journal = {{E}cological {M}odelling}, volume = {497}, numero = {}, pages = {110869 [13 p.]}, ISSN = {0304-3800}, year = {2024}, DOI = {10.1016/j.ecolmodel.2024.110869}, URL = {https://www.documentation.ird.fr/hor/fdi:010091916}, }