Michael T Gastner

Science (Mathematical and Computational Science)

Assistant Professor

Email: Michael.gastner@yale-nus.edu.sg
Website: michaelgastner.com/

View Curriculum Vitae

Assistant Professor Michael Gastner received his PhD in physics from the University of Michigan. He was postdoctoral fellow at the Santa Fe Institute, a multi-disciplinary research centre devoted to the study of complex systems, and the Computer Science Department of the University of New Mexico. Moving back to his native Europe, he first worked in Germany at the University of Oldenburg’s Institute for Chemistry and Biology of the Marine Environment, supported by a fellowship of the Volkswagen Foundation. Afterwards, he became Junior Research Fellow in the Mathematics Department of Imperial College London before holding a lectureship in Engineering Mathematics at the University of Bristol. Prior to joining Yale-NUS College, Asst Prof Gastner spent two years as a Marie Curie Fellow at the Hungarian Academy of Sciences in Budapest.

Asst Prof Gastner is an applied mathematician and data scientist. His main interests are at the interface of data visualisation and cartography. Together with Yale-NUS students, he is currently developing go-cart.io, a user-friendly online tool to construct cartograms.

Cartograms are maps in which areas (e.g. countries or provinces) are rescaled in proportion to a thematic mapping variable (e.g. population size or gross domestic product). Unlike conventional bar or pie charts, cartograms can represent correctly which regions share common borders, resulting in visualisations that can be the basis for further spatial statistical analysis. Cartograms have a long tradition, dating back to the 19th century. In the 1970s, computer algorithms were developed to automate the production of cartograms, but the procedure remained cumbersome and slow. Dr Gastner has developed a faster algorithm that computes cartograms in a matter of seconds. He is now working on an intuitive user interface for cartograms. His objective is to share free open-source cartogram software that is accessible to the general public.

Y. C. Yau and M. T. Gastner
Mapping the inequality of the global distribution of seasonal influenza vaccine
Env. Plan. A (in press)

I. K. Duncan, S. Tingsheng, S. T. Perrault and M. T. Gastner
Task-based effectiveness of interactive contiguous area cartograms
IEEE Trans. Vis. Comput. Graph. 27(3):2136-2152 (2021)

S. Tingsheng, I. K. Duncan, Y.-N. Chang and M. T. Gastner
Motivating good practices for the creation of contiguous area cartograms
in T. Bandrova et al. (Eds.), 8th Int. Conf. Cartogr. GIS, vol. 1,
pp. 589-598 (Bulgarian Cartographic Association, Sofia, 2020)

A. Evtushenko and M. T. Gastner
Beyond Fortune 500: Women in a global network of directors
in H. Cherifi et al. (Eds.), Complex Networks and Their Applications VIII, Proc. 8th Int. Conf. Complex Networks and Their Applications, vol. 1, pp. 586-598 (Springer, Cham, 2020)

M. T. Gastner and K. Ishida
Mean consensus time of the voter model on networks partitioned into two cliques of arbitrary sizes
in H. Cherifi et al. (Eds.), Complex Networks 2019, pp. 46-48 (Int. Conf. Complex Networks and Their Applications, Lisbon, 2019)

M. T. Gastner and K. Ishida
Voter model on networks partitioned into two cliques of arbitrary sizes
J. Phys. A: Math. Theor. 52(50):505701 (2019)

S. Tingsheng, I. K. Duncan and M. T. Gastner
go-cart.io: a web application for generating contiguous cartograms
Abstr. Int. Cartogr. Assoc. 1:333 (2019)

M. T. Gastner, K. Takács, M. Gulyás, Z. Szvetelszky and B. Oborny
The impact of hypocrisy on opinion formation: a dynamic model
PLOS ONE 14(6):e0218729 (2019)

M. T. Gastner, B. Oborny and M. Gulyás
Consensus time in a voter model with concealed and publicly expressed opinions
J. Stat. Mech. Theory Exp. 2018(6):063401 (2018)

M. T. Gastner, V. Seguy and P. More
Fast flow-based algorithm for creating density-equalizing map projections
Proc. Natl. Acad. Sci. U.S.A. 115(10):E2156-E2164 (2018)

M. T. Gastner and G. Ódor
The topology of large Open Connectome networks for the human brain
Sci. Rep. 6(6):27249 (2016)

M. T. Gastner
Network formation, statistical physics and social dynamics
Technical Report, CORDIS (European Commission), published online on 17 February 2016

M. T. Gastner and C. Ducruet
The distribution functions of vessel calls and port connectivity in the global cargo ship network
in C. Ducruet (Ed.), Maritime networks: Spatial structures and time dynamics, pp. 242-262 (Routledge, London, 2015)

M. T. Gastner
The Ising chain constrained to an even or odd number of positive spins
J. Stat. Mech. Theory Exp. 2015(3):P03004 (2015)

M. T. Gastner and C. Ducruet
How Heavy-Tailed is the Distribution of Global Cargo Ship Traffic?
10th Int. Conf. Signal-Image Technol. & Internet-Based Syst., pp. 289-294 (2014)

M. T. Gastner, N. Markou, G. Pruessner and M. Draief
Opinion Formation Models on a Gradient
PLoS ONE 9(12):e114088 (2014)

V. Salnikov, D. Schien, H. Youn, R. Lambiotte and M. T. Gastner
The geography and carbon footprint of mobile phone use in Cote d’Ivoire
EPJ Data Sci. 3(1):3 (2014)

H. Seebens, M. T. Gastner and B. Blasius
The risk of marine bioinvasion caused by global shipping
Ecol. Lett. 16(6):782-790 (2013)

M. T. Gastner and B. Oborny
The geometry of percolation fronts in two-dimensional lattices with spatially varying densities
New J. Phys. 14(10):103019 (2012)

M. T. Gastner
Scaling and entropy in p-median facility location along a line
Phys. Rev. E 84(3):036112 (2011)

M. T. Gastner, B. Oborny, A. B. Ryabov and B. Blasius
Changes in the Gradient Percolation Transition Caused by an Allee Effect
Phys. Rev. Lett. 106(12):128103 (2011)

P. Kaluza, A. Kolzsch, M. T. Gastner and B. Blasius
The complex network of global cargo ship movements
J. Royal Soc. Interface 7(48):1093-1103 (2010)

M. T. Gastner
Traffic flow in a spatial network model
in A. Minai, D. Braha and Y. Bar-Yam (Eds.), Unifying Themes in Complex Systems, pp. 315-322 (Springer, Berlin, 2010)

M. T. Gastner, B. Oborny, D. K. Zimmermann and G. Pruessner
Transition from Connected to Fragmented Vegetation across an Environmental Gradient: Scaling Laws in Ecotone Geometry
Am. Nat. 174(1):E23-E39 (2009)

H. Youn, M. T. Gastner and H. Jeong
Inefficiency in Networks with Multiple Sources and Sinks
in J. Zhou (Ed.), Complex Sciences, pp. 334-338 (Springer, Berlin, 2009)

H. Youn, M. T. Gastner and H. Jeong
Price of Anarchy in Transportation Networks: Efficiency and Optimality Control
Phys. Rev. Lett. 101(12):128701 (2008)

M. T. Gastner
Shape and efficiency in growing spatial distribution networks
2nd Eur. Conf. Complex Syst., pp. 82 (2006)

M. T. Gastner and M. E. J. Newman
Optimal design of spatial distribution networks
Phys. Rev. E 74(1):016117 (2006)

M. T. Gastner and M. E. J. Newman
The spatial structure of networks
Eur. J. Phys. B 49(2):247-252 (2006)

M. T. Gastner and M. E. J. Newman
Shape and efficiency in spatial distribution networks
J. Stat. Mech. Theory Exp. 2006(1):P01015 (2006)

M. T. Gastner
Spatial distributions: Density-equalizing map projections, facility location, and two-dimensional networks
Ph.D. dissertation, Univ. Michigan (Ann Arbor, 2005)

M. T. Gastner and M. E. J. Newman
Density-equalizing map projections: Diffusion-based algorithm and applications
8th Int. Conf. GeoComputation (2005)

M. T. Gastner, C. R. Shalizi and M. E. J. Newman
Maps and cartograms of the 2004 US presidential election results
Adv. Complex Syst. 8(1):117-123 (2005)

M. T. Gastner and M. E. J. Newman
Diffusion-based method for producing density-equalizing maps
Proc. Natl. Acad. Sci. U.S.A 101(20):7499-7504 (2004)

Quantitative Reasoning
Data Analysis and Visualization with R
Stochastic Processes
Monte Carlo Simulations in Science and Statistics