Children's Lives: International conference on children and their families using the Multiple Indicator Cluster Surveys (MICS)

 

DAY 1 RESOURCES (Resources will be added to this page as they become available).

MICS Conference Programme (PDF, 423kB)

Day 1, Monday 2 September 2024

Introductory Session

Mr Joe Jezewski, Development Associate, Bristol Poverty Institute, University of Bristol, UK

  • Introduction

 

Professor David Gordon, Director Bristol Poverty Institute, University of Bristol, UK

  •  

Session 1 - Bristol 1: Geographical and Spatial Analysis

Esther E. Greenwood, Swiss Federal Institute of Technology, Switzerland
Nazim Gashi, UNICEF MICS Consultant, Kosovo

  • Estimating safely managed drinking water services using georeferenced cluster locations in Laos PDR

Pamela Bockarie, University of Southampton, UK

  • Spatial variation in curative child healthcare utilisation in Sierra Leone: Integration of Health Facility Assessment Data with Household Surveys

Makkunda Sharma, University of Oxford

  • KidSat: satellite imagery to map childhood poverty dataset and benchmark

 

Session 4 - Bristol 1: Living Arrangements, Child Outcomes and Life Satisfaction

SESSION 4 Webinar: Living Arrangements, Child Outcomes and Life Satisfaction

Arachu Castro, Tulane University, US

  • Impact of Adolescent Motherhood, Poverty, and Childrearing on Developmental Outcomes in Early Childhood: Cross-sectional Analysis of Household Surveys from Latin America and the Caribbean

Anna Bolgrien, Research Scientist, IPUMS International

  • Title Protective Factors for Vulnerable Children Around the World: An Introduction to IPUMS MICS

Anna Barbeta, PhD Student, Paris School of Economics, France

  • Kinship structure, child gender and mother's life satisfaction in Malawi

Session 5 - Bristol 2: Nutrition

Session 5 Webinar: Nutrition

Mohammad Shahnewaz Morshed, UNICEF Bangladesh, Bangladesh

  • Growth faltering and correlates of child food poverty in Bangladesh

 

Barry Thierno Souleymane, Pan African University Institute for Basic Sciences, Technology and Innovation, Kenya

  • Title Bayesian Spatial Modelling of Anaemia among Children under 5 Years in Guinea

 

Sozo Esther Kazembe, PhD Student, University of Portsmouth, UK

  • Identifying shared determinants of the changing childhood stunting in Kenya, Tanzania, Zambia and Malawi using a machine learning

 

Session 8 - Bristol 1: Climate, Conflict Resilience

SESSION 8 WEBINAR: Climate Conflict Resilience

Elda Celislami, PhD Student, University of Reading, UK

  • The long-lasting effects of bombing on environmental management: Evidence from Kosovo

William E. Rudgard, Senior Researcher, University of Oxford, UK

  • Child climate risk & resilience in Africa

 

Session 9 - Bristol 2: Data Use Evaluation and Policy Analysis

SESSION 9 WEBINAR: Data Use Evaluation and Policy Analysis

 

Josh Colston, Assistant Professor, University of Virginia School of Medicine

  • Uses of MICS data by the Planetary Child Health and Enterics Observatory (Plan-EO)

Liliana Carvajal Velez, Data and Monitoring Manager, UNICEF, Panama

  • Evaluative use of MICS data in Latin America and the Caribbean to inform programmes and policies

Taj Muhammad GC University Lahore Pakistan

  • Policy lessons from MICS data on children's status in self-reported BISP families in Punjab, Pakistan
    Author(s)

 

Session 12 - Bristol 1: Geographic and Spatial Analysis II

SESSION 12 WEBINAR: Geographical and Spatial Analysis II

Rolando Gonzales Martinez University of Groningen The Netherlands

  • Enhancing MICS surveys with satellite images and ethnographic evidence: A case study for Vietnam

Ömer Ünsal, PHD Student,  Ünsal Istanbul University, Türkiye

  • Spatial Heterogeneity and Determinants of Diarrhoea among Under-Five in Pakistan

Hernando Grueso Hurtado, University of Oxford, UK

  • Using machine learning to understand the effectiveness of cash transfers in conflict setting

Achraf Mrabet UNICEF Pakistan Pakistan

  • From provincial to national: unlock the value of MICS in Pakistan: A meta-analysis of MICS 2014-2022
    Author(s)
Edit this page