Inverse problems in the natural and social sciences

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Guest Editors
Prof. Gerardo Chowell
School of Public Health, Georgia State University, Atlanta, GA, USA
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Prof. Alexandra Smirnova
Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, USA
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Manuscript Topics
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
All manuscripts will be peer-reviewed before their acceptance for publication.
The deadline for manuscript submission is December 15th, 2018.

Instructions for authors
Please submit your manuscript to online submission system

Yendry N. Arguedas, Mario Santana-Cibrian, Jorge X. Velasco-Hernández
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Kimberlyn Roosa, Ruiyan Luo, Gerardo Chowell
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Raimund Bürger, Gerardo Chowell, Leidy Yissedt Lara-Díıaz
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Y. Sakamoto, H. Nishiura
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Aurelie Akossi, Gerardo Chowell-Puente, Alexandra Smirnova
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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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