• Senior Lecturer in Social Statistics
• Head of Department, Social Statistics Department, School of Social Sciences (SoSS)
• Lead of Statistical Modelling Research Group, Cathie Marsh Institute

Arkadiusz Wiśniowski joined Social Statistics Department as a Lecturer in August 2015. Currently, he is a Head of Department, as well as a lead of the Statistical Modelling Research Group at the Cathie Marsh Institute. In  the past, he was Department Postgraduate Director (2020/21) and Department Undergraduate Teaching Director (2017-2019). 

Previously, he worked as a Research Fellow at the ESRC Centre for Population Change and Southampton Statistical Sciences Research Institute (University of Southampton), Researcher at the Central European Forum for Migration and Population Research (Polish Academy of Sciences and International Organisation for Migration) and Teaching and Research Assistant at the Department of Applied Econometrics (Warsaw School of Economics).

PhD in Economics (Warsaw School of Economics)
MSc in Economics (Warsaw School of Economics)
MSc in Quantitative Methods in Economics and Information Systems (Warsaw School of Economics)
Erasmus Programme - Econometrics and Operations Research (University of Groningen)

Undergraduate:

SOST20031 Statistical Inference and Research Design

SOST30012 Theory and Method in Demography

SOST20041 Market Research

Postgraduate:

SOST70151 Statistical Foundations

SOST70292 Multilevel Modelling

SOST70102 Demographic Forecasting

DATA70121 Statistics and Machine Learning I

I work on developing statistical methods for modelling and forecasting complex social processes, with a particular focus on migration and mobility, and combining traditional and new forms of data. I also have a general interest in time series analysis and forecasting, hierarchical models, Bayesian computational methods, survey methods, opinion polls and ageing. 

If you are a student or postdoc interested in working on any of these topics, please contact me.

Current postgraduate research students

• Luis Ross Perez
  (2018-) PhD Data Analytics and Society (co-supervisor with Nuno Pinto)
• Andres Felipe Sanchez Segura
  (2021-) Forecasting mortality in South America with Bayesian hierarchical modelling (main supervisor, with Mark Brown and Tina Hannemann)
• Zhanhao Liang
  (2021-) Bayesian and machine learning methods for latent growth curve models (main supervisor with Eduardo Fe)
• Camilla Salvatore
  (2020-, University of Milan-Bicocca) Integrating probability and nonprobability samples by using Bayesian inference (co-supervisor with Silvia Biffingnandi, Joe Sakshaug and Bella Struminskaya)
• Xinyi Kou
  (2019-) Harmonising migration flows through microsimulation (main supervisor with Natalie Shlomo and Eduardo Fe)
• Niall Newsham
  (2019-, University of Liverpool) (co-supervisor with Francisco Rowe)
• Andrea Aparicio-Castro
  (2018-) Modelling and forecasting the spatial and temporal patterns of bilateral international migration flows (main supervisor with Mark Brown and Francisco Rowe)

PhD Graduates

• Ji Hye Kim
  (2017-2021) A Bayesian Hierarchical Model to Estimate and Predict Child Labour in India (co-supervisor with Wendy Olsen)
• Harry Taylor
  (2017-2021) Understanding and addressing hearing health inequality in ethnic minority groups in the UK (one year cover 2017-18)

Visitors

• Dr Yan Xue (Associate Professor) from Jiangsu University of Technology, 05/2018-05/2019
• Dr Dilek Yildiz (Postdoctoral Research Fellow) from Vienna Institute for Demography, 03/2017, 08/2017
• Dr Guillermo Vinué Visús (Postdoctoral Research Fellow) from Vienna Institute for Demography, 03/2017, 08/2017
• Professor James Raymer, Hallsworth Visiting Professor from Australian National University, 03/2017