Dr Eric Silverman
- Research Fellow (MRC/CSO Social & Public Health Sciences Unit)
email:
Eric.Silverman@glasgow.ac.uk
MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Top Floor, 200 Renfield Street, Glasgow, G2 3AX
https://orcid.org/0000-0003-0147-6118Biography
Eric is a Research Fellow in the Complexity programme at the MRC/CSO Social and Public Health Unit at the University of Glasgow, working on agent-based simulation approaches to complex public health issues. Prior to this he was a Research Lecturer/Senior Lecturer in Artificial Intelligence and Interactive Systems in the School of Computing at Teesside University. Before working at Teesside, he worked on the CLC Project at the University of Southampton, a multidisciplinary project which focuses on the application of complexity science approaches to the social science domain.
Eric received a BA with Honours in Psychology from Pennsylvania State University, and a PhD from the School of Computing at the University of Leeds. After his PhD, he worked as a JSPS Postdoctoral Research Fellow at the University of Tokyo, conducting research in computer simulation and robotics.
Publications
2024
Brown, H. et al. (2024) Association between individual level characteristics and take-up of a Minimum Income Guarantee for Pensioners: Panel Data Analysis using data from the British Household Panel survey 1999–2002. Social Sciences & Humanities Open, 9, 100847. (doi: 10.1016/j.ssaho.2024.100847)
2023
Hinsch, M., Silverman, E. and Robertson, D. L. (2023) Simulating the Evolutionary Response of a Viral Pandemic to Behaviour Change. In: ALIFE 2023: Ghost in the machine, Sapporo, Japan, 24-28 Jul 2023, isal_a_00691. (doi: 10.1162/isal_a_00691)
Hinsch, M., Silverman, E. and Robertson, D. (2023) Whole-System Pandemic Modelling Including Pathogen Evolution. In: 18th Social Simulation Conference (SSC23), Glasgow, UK, 04-08 Sep 2023, (Accepted for Publication)
Breeze, P. R. et al. (2023) Guidance on the use of complex systems models for economic evaluations of public health interventions. Health Economics, 32(7), pp. 1603-1625. (doi: 10.1002/hec.4681) (PMID:37081811)
Gostoli, U. , Hinsch, M. and Silverman, E. (2023) Growing Populations From the ‘Bottom-up’: an ABM Approach to the Generation of Synthetic Populations. In: 18th Social Simulation Conference (SSC23), Glasgow, UK, 04-08 Sep 2023, (Accepted for Publication)
Shin, H. and Silverman, E. (2023) Glasgow Low Emission Zone: Simulating the Change in Traffic Flow and the Following Health Outcomes. In: 18th Social Simulation Conference (SSC23), Glasgow, UK, 04-08 Sep 2023, (Accepted for Publication)
Gostoli, U. and Silverman, E. (2023) Self-isolation and testing behaviour during the COVID-19 pandemic: an agent-based model. Artificial Life, 29(1), pp. 94-117. (doi: 10.1162/artl_a_00392) (PMID:36269874)
2022
Gostoli, U. and Silverman, E. (2022) An agent-based model of social care provision during the early stages of Covid-19. Scientific Reports, 12, 16534. (doi: 10.1038/s41598-022-20846-9) (PMID:36192471) (PMCID:PMC9528879)
Bryden, J., Silverman, E. and Powers, S. T. (2022) Modelling transitions between egalitarian, dynamic leader and absolutist power structures. PLoS ONE, 17(2), e0263665. (doi: 10.1371/journal.pone.0263665) (PMID:35157720) (PMCID:PMC8843174)
Angione, C., Silverman, E. and Yaneske, E. (2022) Using machine learning as a surrogate model for agent-based simulations. PLoS ONE, 17(2), e0263150. (doi: 10.1371/journal.pone.0263150) (PMID:35143521) (PMCID:PMC8830643)
2021
Silverman, E. , Gostoli, U. , Picascia, S. , Almagor, J. , McCann, M. , Shaw, R. and Angione, C. (2021) Situating agent-based modelling in population health research. Emerging Themes in Epidemiology, 18, 10. (doi: 10.1186/s12982-021-00102-7) (PMID:34330302) (PMCID:PMC8325181)
Gostoli, U. and Silverman, E. (2021) Towards a Behavioural Model of Covid-19 Spread. 3rd International Workshop on Agent-Based Modelling of Human Behaviour (ABMHuB'21), 19 Jul 2021.
Silverman, E. and Gostoli, U. (2021) PHASE: Facilitating Agent-Based Modelling in Population Health. In: Winter Simulation Conference 2020, Orlando, FL, USA, 13-16 Dec 2020, pp. 135-146. ISBN 9781728194998
2020
Gostoli, U. and Silverman, E. (2020) Social and child care provision in kinship networks: an agent-based model. PLoS ONE, 15(12), e0242779. (doi: 10.1371/journal.pone.0242779) (PMID:33264347) (PMCID:PMC7710125)
Silverman, E. and Gostoli, U. (2020) Modelling Informal Caring Behaviours in the Scottish Population. ALife Conference 2020: ABMHuB Workshop, 13-18 July 2020.
Gostoli, U. and Silverman, E. (2020) Sound behavioural theories, not data, is what makes computational models useful. Review of Artificial Societies and Social Simulation, 22 Apr.
2019
Gostoli, U. and Silverman, E. (2019) Social and Child Care Provision and Kinship Networks: An Agent-Based Model. In: 15th Annual Social Simulation Conference (SSC 2019), Mainz, Germany, 23-27 Sept 2019,
Silverman, E. (2019) Convolutional Neural Networks for Cellular Automata Classification. In: 2019 Conference on Artificial Life (ALIFE 2019), Newcastle, UK, 29 July - 02 Aug 2019, pp. 280-281. (doi: 10.1162/isal_a_00175)
Gostoli, U. and Silverman, E. (2019) Modelling social care provision in an agent-based framework with kinship networks. Royal Society Open Science, 6(7), 190029. (doi: 10.1098/rsos.190029) (PMID:31417710) (PMCID:PMC6689582)
Bryden, J. and Silverman, E. (2019) Underlying socio-political processes behind the 2016 US election. PLoS ONE, 14(4), e0214854. (doi: 10.1371/journal.pone.0214854) (PMID:30964900) (PMCID:PMC6456177)
2018
Silverman, E. (2018) Bringing ALife and complex systems science to population health research. Artificial Life, 24(3), pp. 220-223. (doi: 10.1162/artl_a_00264) (PMID:30485143)
Silverman, E. (2018) Methodological Investigations in Agent-Based Modelling: With Applications for the Social Sciences. Series: Methodos series, 13. Springer. ISBN 9783319724065 (doi: 10.1007/978-3-319-72408-9)
2017
Silverman, E. , Charles, F., Porteous, J., Wood, I. and Ells, L. (2017) Agent-Based Virtual Urban Environments for Population Health Applications. In: ABMUS 2017 : The 2nd International Workshop on Agent-based Modelling of Urban Systems, Sao Paulo, Brazil, 8-9 May 2017,
2016
Courgeau, D., Bijak, J., Franck, R. and Silverman, E. (2016) Model-based demography: towards a research agenda. In: Grow, A. and Van Bavel, J. (eds.) Agent-Based Modelling in Population Studies: Concepts, Methods, and Applications. Series: The Springer series on demographic methods and population analysis (41). Springer, pp. 29-51. ISBN 9783319322834 (doi: 10.1007/978-3-319-32283-4_2)
2014
Courgeau, D., Bijak, J., Franck, R. and Silverman, E. (2014) Are the four Baconian idols still alive in demography? Revue Quetelet = Quetelet Journal, 2(2), pp. 31-59. (doi: 10.14428/rqj2014.02.02.02)
Silverman, E. , Bijak, J., Courgeau, D. and Franck, R. (2014) Advancing Social Simulation: Lessons from Demography. ALIFE 14: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems, Manhattan, NY, USA, 30 Jul -- 02 Aug 2014. pp. 384-391. ISBN 9780262326216 (doi: 10.7551/978-0-262-32621-6-ch061)
Bijak, J., Courgeau, D., Silverman, E. and Franck, R. (2014) Quantifying paradigm change in demography. Demographic Research, 30(32), pp. 911-924. (doi: 10.4054/DemRes.2014.30.32)
Silverman, E. , Bijak, J., Cao, V. and Hilton, J. (2014) Semi-artificial models of populations: connecting demography with agent-based modelling. In: Chen, S.-H., Terano, T., Yamamoto, R. and Tai, C.-C. (eds.) Advances in Computational Social Science. The Fourth World Congress. Springer, pp. 177-189. ISBN 9784431548478
2013
Silverman, E. , Bijak, J., Hilton, J., Cao, V. D. and Noble, J. (2013) When demography met social simulation: A tale of two modelling approaches. Journal of Artificial Societies and Social Simulation, 16(4), (doi: 10.18564/jasss.2327)
Bijak, J., Hilton, J., Silverman, E. and Cao, V. D. (2013) Reforging the wedding ring: Exploring a semi-artificial model of population for the United Kingdom with Gaussian process emulators. Demographic Research, 29(27), pp. 729-766. (doi: 10.4054/DemRes.2013.29.27)
Bijak, J. and Silverman, E. (2013) Review of 'Probability and Social Science. Methodological Relationships between the Two Approaches, by Daniel Courgeau. Dordrecht, Springer, ISBN: 978-94-007-2878-3. Population Studies, 67(1), pp. 127-129. (doi: 10.1080/00324728.2013.765163)[Book Review]
Silverman, E. , Hilton, J., Noble, J. and Bijak, J. (2013) Simulating the Cost of Social Care in an Ageing Population. In: 27th European Conference on Modelling and Simulation ECMS 2013., Aalesund, Norway, 27-30 May 2013, ISBN 9780956494467 (doi: 10.7148/2013-0689)
2012
Noble, J., Silverman, E. , Bijak, J., Rossiter, S., Evandrou, M., Bullock, S., Vlachantoni, A. and Falkingham, J. (2012) Linked lives: The Utility of an Agent-Based Approach to Modeling Partnership and Household Formation in the Context of Social Care. Proceedings of the 2012 Winter Simulation Conference (WSC), 9-12 Dec 2012. pp. 1-12. (doi: 10.1109/WSC.2012.6465264)
Silverman, E. , Bijak, J., Cao, V. and Hilton, J. (2012) Semi-artificial models of population: connecting demography with agent-based modelling. In: Proceedings of the 4th World Congress on Social Simulation. UNSPECIFIED.
2011
Brailsford, S., Silverman, E. , Rossiter, S., Bijak, J., Shaw, R., Viana, J., Noble, J., Efstathiou, S. and Vlachantoni, A. (2011) Complex Systems Modeling for Supply and Demand in Health and Social Care. In: Simulation Conference (WSC), Proceedings of the 2011 Winter, Grand Arizona Resort Phoenix, AZ., 11-14 Dec 2011, pp. 1125-1136. (doi: 10.1109/WSC.2011.6147835)
Arranz, J., Noble, J. and Silverman, E. (2011) The Origins of Communication Revisited. Eleventh European Conference on the Synthesis and Simulation of Living Systems (ECAL'11), France, 8-11 Aug 2011. (Unpublished)
Silverman, E. and Ikegami, T. (2011) Robustness in artificial life. International Journal of Bio-Inspired Computation, 3(3), p. 179. (doi: 10.1504/IJBIC.2011.040316)
Silverman, E. , Bijak, J. and Noble, J. (2011) Feeding the beast: Can computational demographic models free us from the tyranny of data? In: Lenaerts, T., Giacobini, M., Bersini, H., Bourgine, P., Dorigo, M. and Doursat, R. (eds.) Advances in Artificial Life, ECAL 2011: Proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems. MIT Press, pp. 747-754. ISBN 97802629714
2009
Hubert, J., Matsuda, E., Silverman, E. and Ikegami, T. (2009) A Robotic Approach to Understanding Robustness. In: The 3rd International Symposium on Mobiligence, Awaji Island, Japan, 19-21 Nov 2009,
2007
Silverman, E. and Bryden, J. (2007) From artificial societies to new social science theory. In: Costa, F. A. e. (ed.) Advances in artificial life : 9th European conference, ECAL 2007, Lisbon, Portugal, September 10-14, 2007 : proceedings. Series: Lecture notes in artificial intelligence ; Lecture notes in computer science (4648). Springer, pp. 565-574. ISBN 9783540749134 (doi: 10.1007/978-3-540-74913-4_57)
2004
Silverman, E. and Bullock, S. (2004) Empiricism and artificial life. In: Pollack, J. B. (ed.) Artificial Life IX: Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems. MIT Press: Cambridge, Mass, pp. 534-539. ISBN 9780262291392
Articles
Brown, H. et al. (2024) Association between individual level characteristics and take-up of a Minimum Income Guarantee for Pensioners: Panel Data Analysis using data from the British Household Panel survey 1999–2002. Social Sciences & Humanities Open, 9, 100847. (doi: 10.1016/j.ssaho.2024.100847)
Breeze, P. R. et al. (2023) Guidance on the use of complex systems models for economic evaluations of public health interventions. Health Economics, 32(7), pp. 1603-1625. (doi: 10.1002/hec.4681) (PMID:37081811)
Gostoli, U. and Silverman, E. (2023) Self-isolation and testing behaviour during the COVID-19 pandemic: an agent-based model. Artificial Life, 29(1), pp. 94-117. (doi: 10.1162/artl_a_00392) (PMID:36269874)
Gostoli, U. and Silverman, E. (2022) An agent-based model of social care provision during the early stages of Covid-19. Scientific Reports, 12, 16534. (doi: 10.1038/s41598-022-20846-9) (PMID:36192471) (PMCID:PMC9528879)
Bryden, J., Silverman, E. and Powers, S. T. (2022) Modelling transitions between egalitarian, dynamic leader and absolutist power structures. PLoS ONE, 17(2), e0263665. (doi: 10.1371/journal.pone.0263665) (PMID:35157720) (PMCID:PMC8843174)
Angione, C., Silverman, E. and Yaneske, E. (2022) Using machine learning as a surrogate model for agent-based simulations. PLoS ONE, 17(2), e0263150. (doi: 10.1371/journal.pone.0263150) (PMID:35143521) (PMCID:PMC8830643)
Silverman, E. , Gostoli, U. , Picascia, S. , Almagor, J. , McCann, M. , Shaw, R. and Angione, C. (2021) Situating agent-based modelling in population health research. Emerging Themes in Epidemiology, 18, 10. (doi: 10.1186/s12982-021-00102-7) (PMID:34330302) (PMCID:PMC8325181)
Gostoli, U. and Silverman, E. (2020) Social and child care provision in kinship networks: an agent-based model. PLoS ONE, 15(12), e0242779. (doi: 10.1371/journal.pone.0242779) (PMID:33264347) (PMCID:PMC7710125)
Gostoli, U. and Silverman, E. (2020) Sound behavioural theories, not data, is what makes computational models useful. Review of Artificial Societies and Social Simulation, 22 Apr.
Gostoli, U. and Silverman, E. (2019) Modelling social care provision in an agent-based framework with kinship networks. Royal Society Open Science, 6(7), 190029. (doi: 10.1098/rsos.190029) (PMID:31417710) (PMCID:PMC6689582)
Bryden, J. and Silverman, E. (2019) Underlying socio-political processes behind the 2016 US election. PLoS ONE, 14(4), e0214854. (doi: 10.1371/journal.pone.0214854) (PMID:30964900) (PMCID:PMC6456177)
Silverman, E. (2018) Bringing ALife and complex systems science to population health research. Artificial Life, 24(3), pp. 220-223. (doi: 10.1162/artl_a_00264) (PMID:30485143)
Courgeau, D., Bijak, J., Franck, R. and Silverman, E. (2014) Are the four Baconian idols still alive in demography? Revue Quetelet = Quetelet Journal, 2(2), pp. 31-59. (doi: 10.14428/rqj2014.02.02.02)
Bijak, J., Courgeau, D., Silverman, E. and Franck, R. (2014) Quantifying paradigm change in demography. Demographic Research, 30(32), pp. 911-924. (doi: 10.4054/DemRes.2014.30.32)
Silverman, E. , Bijak, J., Hilton, J., Cao, V. D. and Noble, J. (2013) When demography met social simulation: A tale of two modelling approaches. Journal of Artificial Societies and Social Simulation, 16(4), (doi: 10.18564/jasss.2327)
Bijak, J., Hilton, J., Silverman, E. and Cao, V. D. (2013) Reforging the wedding ring: Exploring a semi-artificial model of population for the United Kingdom with Gaussian process emulators. Demographic Research, 29(27), pp. 729-766. (doi: 10.4054/DemRes.2013.29.27)
Silverman, E. and Ikegami, T. (2011) Robustness in artificial life. International Journal of Bio-Inspired Computation, 3(3), p. 179. (doi: 10.1504/IJBIC.2011.040316)
Books
Silverman, E. (2018) Methodological Investigations in Agent-Based Modelling: With Applications for the Social Sciences. Series: Methodos series, 13. Springer. ISBN 9783319724065 (doi: 10.1007/978-3-319-72408-9)
Book Sections
Courgeau, D., Bijak, J., Franck, R. and Silverman, E. (2016) Model-based demography: towards a research agenda. In: Grow, A. and Van Bavel, J. (eds.) Agent-Based Modelling in Population Studies: Concepts, Methods, and Applications. Series: The Springer series on demographic methods and population analysis (41). Springer, pp. 29-51. ISBN 9783319322834 (doi: 10.1007/978-3-319-32283-4_2)
Silverman, E. , Bijak, J., Cao, V. and Hilton, J. (2014) Semi-artificial models of populations: connecting demography with agent-based modelling. In: Chen, S.-H., Terano, T., Yamamoto, R. and Tai, C.-C. (eds.) Advances in Computational Social Science. The Fourth World Congress. Springer, pp. 177-189. ISBN 9784431548478
Silverman, E. , Bijak, J., Cao, V. and Hilton, J. (2012) Semi-artificial models of population: connecting demography with agent-based modelling. In: Proceedings of the 4th World Congress on Social Simulation. UNSPECIFIED.
Silverman, E. , Bijak, J. and Noble, J. (2011) Feeding the beast: Can computational demographic models free us from the tyranny of data? In: Lenaerts, T., Giacobini, M., Bersini, H., Bourgine, P., Dorigo, M. and Doursat, R. (eds.) Advances in Artificial Life, ECAL 2011: Proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems. MIT Press, pp. 747-754. ISBN 97802629714
Silverman, E. and Bryden, J. (2007) From artificial societies to new social science theory. In: Costa, F. A. e. (ed.) Advances in artificial life : 9th European conference, ECAL 2007, Lisbon, Portugal, September 10-14, 2007 : proceedings. Series: Lecture notes in artificial intelligence ; Lecture notes in computer science (4648). Springer, pp. 565-574. ISBN 9783540749134 (doi: 10.1007/978-3-540-74913-4_57)
Silverman, E. and Bullock, S. (2004) Empiricism and artificial life. In: Pollack, J. B. (ed.) Artificial Life IX: Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems. MIT Press: Cambridge, Mass, pp. 534-539. ISBN 9780262291392
Book Reviews
Bijak, J. and Silverman, E. (2013) Review of 'Probability and Social Science. Methodological Relationships between the Two Approaches, by Daniel Courgeau. Dordrecht, Springer, ISBN: 978-94-007-2878-3. Population Studies, 67(1), pp. 127-129. (doi: 10.1080/00324728.2013.765163)[Book Review]
Conference or Workshop Item
Gostoli, U. and Silverman, E. (2021) Towards a Behavioural Model of Covid-19 Spread. 3rd International Workshop on Agent-Based Modelling of Human Behaviour (ABMHuB'21), 19 Jul 2021.
Silverman, E. and Gostoli, U. (2020) Modelling Informal Caring Behaviours in the Scottish Population. ALife Conference 2020: ABMHuB Workshop, 13-18 July 2020.
Silverman, E. , Bijak, J., Courgeau, D. and Franck, R. (2014) Advancing Social Simulation: Lessons from Demography. ALIFE 14: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems, Manhattan, NY, USA, 30 Jul -- 02 Aug 2014. pp. 384-391. ISBN 9780262326216 (doi: 10.7551/978-0-262-32621-6-ch061)
Noble, J., Silverman, E. , Bijak, J., Rossiter, S., Evandrou, M., Bullock, S., Vlachantoni, A. and Falkingham, J. (2012) Linked lives: The Utility of an Agent-Based Approach to Modeling Partnership and Household Formation in the Context of Social Care. Proceedings of the 2012 Winter Simulation Conference (WSC), 9-12 Dec 2012. pp. 1-12. (doi: 10.1109/WSC.2012.6465264)
Arranz, J., Noble, J. and Silverman, E. (2011) The Origins of Communication Revisited. Eleventh European Conference on the Synthesis and Simulation of Living Systems (ECAL'11), France, 8-11 Aug 2011. (Unpublished)
Conference Proceedings
Hinsch, M., Silverman, E. and Robertson, D. L. (2023) Simulating the Evolutionary Response of a Viral Pandemic to Behaviour Change. In: ALIFE 2023: Ghost in the machine, Sapporo, Japan, 24-28 Jul 2023, isal_a_00691. (doi: 10.1162/isal_a_00691)
Hinsch, M., Silverman, E. and Robertson, D. (2023) Whole-System Pandemic Modelling Including Pathogen Evolution. In: 18th Social Simulation Conference (SSC23), Glasgow, UK, 04-08 Sep 2023, (Accepted for Publication)
Gostoli, U. , Hinsch, M. and Silverman, E. (2023) Growing Populations From the ‘Bottom-up’: an ABM Approach to the Generation of Synthetic Populations. In: 18th Social Simulation Conference (SSC23), Glasgow, UK, 04-08 Sep 2023, (Accepted for Publication)
Shin, H. and Silverman, E. (2023) Glasgow Low Emission Zone: Simulating the Change in Traffic Flow and the Following Health Outcomes. In: 18th Social Simulation Conference (SSC23), Glasgow, UK, 04-08 Sep 2023, (Accepted for Publication)
Silverman, E. and Gostoli, U. (2021) PHASE: Facilitating Agent-Based Modelling in Population Health. In: Winter Simulation Conference 2020, Orlando, FL, USA, 13-16 Dec 2020, pp. 135-146. ISBN 9781728194998
Gostoli, U. and Silverman, E. (2019) Social and Child Care Provision and Kinship Networks: An Agent-Based Model. In: 15th Annual Social Simulation Conference (SSC 2019), Mainz, Germany, 23-27 Sept 2019,
Silverman, E. (2019) Convolutional Neural Networks for Cellular Automata Classification. In: 2019 Conference on Artificial Life (ALIFE 2019), Newcastle, UK, 29 July - 02 Aug 2019, pp. 280-281. (doi: 10.1162/isal_a_00175)
Silverman, E. , Charles, F., Porteous, J., Wood, I. and Ells, L. (2017) Agent-Based Virtual Urban Environments for Population Health Applications. In: ABMUS 2017 : The 2nd International Workshop on Agent-based Modelling of Urban Systems, Sao Paulo, Brazil, 8-9 May 2017,
Silverman, E. , Hilton, J., Noble, J. and Bijak, J. (2013) Simulating the Cost of Social Care in an Ageing Population. In: 27th European Conference on Modelling and Simulation ECMS 2013., Aalesund, Norway, 27-30 May 2013, ISBN 9780956494467 (doi: 10.7148/2013-0689)
Brailsford, S., Silverman, E. , Rossiter, S., Bijak, J., Shaw, R., Viana, J., Noble, J., Efstathiou, S. and Vlachantoni, A. (2011) Complex Systems Modeling for Supply and Demand in Health and Social Care. In: Simulation Conference (WSC), Proceedings of the 2011 Winter, Grand Arizona Resort Phoenix, AZ., 11-14 Dec 2011, pp. 1125-1136. (doi: 10.1109/WSC.2011.6147835)
Hubert, J., Matsuda, E., Silverman, E. and Ikegami, T. (2009) A Robotic Approach to Understanding Robustness. In: The 3rd International Symposium on Mobiligence, Awaji Island, Japan, 19-21 Nov 2009,
Grants
Grants and Awards listed are those received whilst working with the University of Glasgow.
- Developing a platform for evaluating a `Minimum Income Guarantee' policy and modelling major income supplementation reforms
National Institute for Health Research
2023 - 2024
- World Class Labs Captial Funding 2020/21
Medical Research Council
2020 - 2021
- Quinquennial Funding for Social and Public Health Sciences Unit
Medical Research Council
2020 - 2025
- PHASE: The Population HeAlth Simulation nEtwork
Medical Research Council
2019 - 2023
- ESRC-IAA: Developing complex systems methods capacity in NHS Health Scotland
Economic and Social Research Council
2014 - 2019
Research datasets
2019
Gostoli, U. and Silverman, E. (2019) Modelling social care provision in an agent-based framework with kinship networks. [Data Collection]
