Piper Jackson
PhD, Computing Science, Simon Fraser University

Post Doctoral Fellow, SFU Gerontology Research Centre
E: pjj@sfu.ca
T: 778-782-9314


Piper Jackson is joining the GRC as part of his postdoctoral work with the Interdisciplinary Research in the Mathematical and Computational Sciences (IRMACS) Centre (http://www.irmacs.sfu.ca/). Piper has an unusual academic background. He began his studies in the humanities, graduating with a BA in English (Cultural Studies) and East Asian Studies from McGill. Following this, he taught English in Japan for several years, spending his spare time in Tokyo’s “Electric Town” district, Akihabara. This sparked an interest in technology, and he returned to Canada in order to study game programming. Drawn to the science behind the subject, Piper entered the graduate program in Computing at SFU, and recently completed his PhD.

Piper’s doctoral work involved interdisciplinary initiatives, starting with criminology experimentation at ICURS (www.sfu.ca/icurs), and then complex social system modelling through the Modelling of Complex Social Systems (MoCSSy) program (mocssy.irmacs.sfu.ca/). Within this field, his focus is on computational modelling and simulation, as well as interdisciplinary collaboration in general, particularly where software plays a central role. Piper has modelled car thieves using agent based modelling, binge drinkers using cellular automata, and insurgents using fuzzy cognitive maps. His work with the GRC will involve finding ways to effectively integrate computational modelling into gerontology research. Piper’s main interest is in the use of computation to address social issues, and he is motivated by the need to establish useful and trusted methodologies that will help modelling and simulation to be adopted as part of the decision making process at the policy level.

Selected Publications

Booi, L., Newman, K., & Jackson, P. (2016). Comparison of global dementia discussions: Perspective from the world young leaders in dementia. Quality in Ageing and Older Adults, 17(4), 272-278. http://dx.doi.org/10.1108/QAOA-03-2016-0016 LINK

Jackson, P., Hwang, A., Astell, A., Mihailidis, A., Nygård, L., & Sixsmith, A. (2016). AAL-WELL that ends well: International transdisciplinary research into ambient assistive living technology for older adults with mild cognitive impairment [abstract]. Gerontechnology, 15(suppl), 85s. doi:10.4017/gt.2016.15.s.840.00

Boger, J., Jackson, P., Mulvenna, M., Sixsmith, J., Sixsmith, A., Mihailidis, A., Kontos, P., Polgar, J., Grigorovich, A., & Martin, S. (2016). Principles for fostering the transdisciplinary development of assistive technologies. Disability and Rehabilitation: Assistive Technology, 1-11. doi:10.3109/17483107.2016.1151953 online

Blackman, S., Matlo, C., Bobrovitskiy, C., Waldoch, A., Fang, M.L., Jackson, P., Mihailidis, A., Nygård, L., Astell, A., & Sixsmith, A. (2016). Ambient assisted living technologies for aging well: A scoping review. Journal of Intelligent Systems 25(1), 55–69. DOI: 10.1515/jisys-2014-0136 online

Jackson, P., Sixsmith, A., & Mihailidis, A. (2014). High level architecture of a user-friendly relational home computing interface for people with mild cognitive impairment [abstract]. International Society for Gerontechnology World Conference (ISG 2014). Gerontechnology 13(2), 219.

Jackson, P. (2014). Software solutions for computational modelling in the social sciences. in theories and simulations of complex social systems. In V. Dabbaghian & V. Kumar Mago (Eds.), Theories and simulations of complex social systems (pp. 5-17). Springer. doi: 10.1007/978-3-642-39149-1_10 

Giabbanelli, P.J., Jackson, P., & Finegood, D.T. (2014). Modelling the joint effect of social determinants and peers on obesity among Canadian adults. In V. Dabbaghian & V. Kumar Mago (Eds.), Theories and simulations of complex social systems (pp. 5-17). Springer. doi: 10.1007/978-3-642-39149-1_10 

Prpic, J., Jackson, P., & Nguyen, T. (2014). A computational model of crowds for collective intelligence. Collective Intelligence 2014. MIT Center for Collective Intelligence. LINK

P. Jackson, A. Reid, N. Huitson, K. Wuschke, and V. Dabbaghian. Drinking with friends: A cellular automata approach to modeling peer influence on binge drinking behavior. International Symposium on Cellular Automata Modeling for Urban and Spatial Systems (CAMUSS 2012).

P. Jackson, and V. Spicer. Hybrid Automata Simulation of Residential Migration in the City of Vancouver. International Symposium on Cellular Automata Modeling for Urban and Spatial Systems (CAMUSS 2012).

S. Pratt, P. Giabbanelli, P. Jackson, and V. Mago. Rebel with many causes: a computational model of insurgency. Proc. IEEE Int. Conf. on Intelligence and Security Informatics (ISI 2012), 90-95.

V. Dabbaghian, P. Jackson, V. Spicer, and K. Wuschke. A cellular automata model on residential migration in response to neighborhood social dynamics. Mathematical and Computer Modelling, 52(November 2010), 1752-1762.

P. Brantingham, U. Gl asser, P. Jackson, and M. Vajihollahi. Modeling Criminal Activity in Urban Landscapes. In N. Memon, J. Farley, D. Hicks, & T. Rosenorn (eds.), Mathematical Methods in Counterterrorism (2009), 9-32.

P. Brantingham, U. Glasser, P. Jackson, B. Kinney, and M. Vajihollahi. Mastermind: Computational Modeling and Simulation of Spatiotemporal aspects of Crime in Urban Environments. In L. Liu & J. Eck (Eds.), Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems (2008), 252-280.

R. Farahbod, U. Glasser, P. Jackson, and M. Vajihollahi. High Level Analysis, Design and Validation of Distributed Mobile Systems with CoreASM. In Communications in Computer and Information Science, Vol. 17: Leveraging Applications of Formal Methods, Verification and Validation (ISoLA 2008), 797-814.

U. Glasser, P. Jackson, and M. Vajihollahi. MasterMind: A Computational Framework for Studying Physical Crime. In Proceedings of the 14th International Abstract State Machines Workshop (ASM 2007).