Inverse problems in the natural and social sciences

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Guest Editors :

Prof. Gerardo Chowell
Email :
School of Public Health, Georgia State University, Atlanta, GA, USA

Prof. Alexandra Smirnova
Email :
Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, USA

Description :

Mathematical dynamic models based on differential equations provide a quantitative framework with which scientists can assess hypotheses on the potential underlying mechanisms that explain dynamics in observed data at different spatial and temporal scales, estimate key model parameters, assess the impact of interventions, and generate forecasts.

This special issue will cover a broad range of quantitative studies that make use of mathematical and statistical methods for calibrating mathematical or statistical models to time series data. Contributions will rely on phenomenological, mechanistic or hybrid models and deal with issues relating to inverse problem methodologies, parameter identifiability, uncertainty quantification, regularization methods or forecasting approaches.

Paper Submission

Full text submission due date: December 15th, 2018.
Full paper should be submitted online to the journal at
Before submission, authors should carefully read over the instruction for Authors which are located at

Zhimin Wu, Tin Phan, Javier Baez, Yang Kuang, Eric J. Kostelich
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Omar Saucedo, Maia Martcheva, Abena Annor
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Nao Yamamoto, Hyojung Lee, Hiroshi Nishiura
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Luis Ponce, Ryo Kinoshita, Hiroshi Nishiura
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Lisa Sattenspiel, Jessica Dimka, Carolyn Orbann
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Fabio Sanchez, Luis A. Barboza, Paola Vásquez
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Andriy A. Avramenko, Igor V. Shevchuk
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