Arkadiusz (Arek) Wiśniowski

Welcome to my homepage!

• 2020-2022
  Epidemic modelling and statistical support for policy: sub-populations, forecasting, and long-term planning;
  Co-I, PI: Thomas House, University of Manchester. Funded by Engineering & Physical Sciences Research Council (EPSRC)
• 2019-2022
  Future Migration Scenarios for Europe (FUME);
  Beneficiary Lead, Coordinator: Henning Sten Hansen & Carsten Kessler, University of Aalborg. Funded by European Commission H2020
• 2021
  The Economic Impact of the COVID-19 Pandemic on Ethnic Minorities in Manchester;
  PI. Funded by Policy@Manchester
• 2021
  Low income penalty;
  PI, with Diego Pérez Ruiz. Consultancy.
• 2020-2023
  Statistical modelling of cyclist accidents with Big Data;
  PI, with Diego Perez Ruiz. British Academy/Leverhulme Small Grant.
• 2020
  Social-Action Messages to Reduce Transmission of COVID-19 in North India;
  Co-I, PI: Wendy Olsen, University of Manchester. Funded by Global Challenges Research Fund (internal)
• 2020
  Social Statistics Department Rapid Assistance in Modelling of the Pandemic group;
  PI. Unfunded.
• 2018
  Measuring Labour Mobility and Migration Using Big Data ;
  Consultant Partner, Lead: RAND Europe. Funded by European Commission
• 2018
  Mapping out the future of cycling - investigating cyclist casualties is Manchester;
  PI, with Diego Pérez Ruiz. Funded by Manchester Data Science Institute
• 2017-2020
  Overcoming the problems of inconsistent migration data in the Asia Pacific;
  International Partner, Project PI: Prof James Raymer, Australian National University. Funded by Australian Research Council
• 2017
  Combining Probability and Non-Probability Samples to Reduce Survey Errors and Survey Costs: A Proof-of-Concept Study;
  Co-PI with Dr Joseph Sakshaug, University of Manchester. Funded by British Academy/Leverhulme Small Research Grant
• 2016 - 2017
  Combining Traditional and Emerging Big Data Sources to Model Population Movement Patterns;
  Co-Investigator, Project PI: Prof Guy J. Abel, University of Shanghai
• 2015
  Evaluation of existing migration forecasting methods and models;
  Co-Investigator, Project PI: Dr Jakub Bijak, University of Southampton
• 2014 - 2015
  Inferring (labour) mobility and migration in the EU from big data and social media data;
  Co-Investigator, Project PI: Dr Emilio Zagheni, University of Washington
• 2012 - 2015
  Developing a dynamic population model for the UK;
  Researcher, at CPC; Strand leaders: Prof Peter W. F. Smith and Dr Jakub Bijak, University of Southampton
• 2013 - 2014
  Future of the UK and Scotland;
  CPC; Project PI: Prof Allan Findlay, University of St. Andrews
• 2009 - 2012
  Integrated Modelling of European Migration (IMEM);
  Researcher, at S3RI; Project PI: Dr James Raymer, University of Southampton
• 2008 - 2009
  Mediterranean and Eastern European Countries as New Immigration Destinations in the European Union (IDEA);
  Researcher, at CEFMR; Project PI: Prof Marek Okólski, Warsaw University
• 2008 - 2009
  MIgration MOdelling for Statistical Analyses (MIMOSA);
  Researcher, at CEFMR and S3RI

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

• Ji Hye Kim
  (2017-2021) A Bayesian Hierarchical Model to Estimate and Predict Child Labour in India
  with Wendy Olsen

• Prize for a Highly Commanded Paper
  EC/UNECE International Seminar: Building an evidence base for active ageing policies: Active Ageing Index and its potential, Brussels, 16-17 April 2015
  Xiong Q., Wiśniowski A.: Active Ageing and Policy Implications in China
• Poster Session Winner (photo)
  Population Association of America 2013 Annual Meeting, New Orleans, LA, 11-13 April
  Wiśniowski A.: Bayesian Modelling of International Migration with Labour Force Survey Data

• see Publons profile
• Journal of Population Research
• Bank i Kredyt

• Bayesian hierarchical modelling
• Forecasting
• Population and migration
• Time series econometrics
• Microeconometrics
• Stochastic frontier models
• Solving problems!