Talks (selected)

Swedish Young Academy presentation Photo: Lars Pehrson, 2024-10-21, SUA day at Posthuset, Stockholm, Sweden.

Daoud has given over a hundreds talks mainly in academia but also in industry and policy settings. This page gives a selected list of talks.

Yale Center for Geospatial Solutions January 23, 2025

Planetary Causal Inference: Understanding the Environment, Society, and Economy Through Earth Observation and Computer Vision

Yale Center for Geospatial Solutions January 23, 2025

In this talk, I explore how Earth observation (EO) data and machine learning can transform social science research. By integrating spatial data with causal inference techniques, the talk demonstrates how EO can provide high-resolution insights into global challenges such as urbanization, poverty, and deforestation—overcoming the limitations of traditional survey-based research. I also introduce innovative AI-driven methods for analyzing sustainable development and conflict on a planetary scale. This seminar was co-hosted by the Yale Center for Geospatial Solutions, the Yale Institute for Foundations of Data Science, and the Data-Intensive Social Science Center. The talk is part of a book project together with Connor Jerzak with a dedicated website at www.planetarycausalinference.org.

Swedish Young Academy, October 21, 2024

Experimental talk on research communication and storytelling (5-minute presentation)

Swedish Young Academy, Posthuset, Stockholm, Sweden

Together with three other fellow members of the Swedish Young Academy, I was invited to an experimental talk in research communication and storytelling. Under the mentorship of Linus Tunström, a theater and film director, former CEO and Artistic Director at Uppsala Stadsteater, I produced a 5-min talk that weaved together a selection of life events, from my childhood to adulthood to academic journey. The aim of the mentorship was to increase awareness of using body language, vocal resources, and tonal ranges to strengthen the ability to capture interest through research-related storytelling.

Swedish Young Academy presentation 2024-10-21 SUA dagen på posthuset Foto: Lars Pehrson

Selected List

2025

January 2025 - Earth Observation and Machine Learning for the Social Sciences Center for Geospatial Solutions, Yale University, USA

January 2025 - Planetary Causal Inference Development Economics seminar series, University of Gottingen, Germany

2024

November 2024 - Plenary debate on earth observation for development GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany

November 2024 - Keynote: Using satellites for social science research GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany

October 2024 - Planetary Causal Inference Department of Statistics, Uppsala University, Sweden

January 2024 - Are You Devising an Observatory of Extraterrestrial Life? Lessons learned from Observatory of Poverty International CHASC AstroStatistics Centre, Harvard University, USA

January 2024 - Thinking predictively and causally in the age of data science Department of Sociology, UC Berkeley, USA

2023

September 2023 - Planetary social science (Fellow seminar) Center for Advanced Studies in Behavioral Sciences, Stanford University, USA

May 2023 - The AI and Global Development Lab: handling massive amounts of satellite images Chalmers University, AI for Scientific Computing, Sweden

February 2023 - Keynote: Statistical modeling: the three cultures 4th International Symposium on AI and Electronics, Japan

2022

December 2022 - From Economic Sociology to Computational Social Science, and Beyond (Zetterberg Prize Lecture) Uppsala University, Sweden

September 2022 - Observatory of Poverty: combining AI and earth observation to measure health and living conditions in Africa Swedish Institute for Social Research (SOFI), Stockholm University, Sweden

September 2022 - Plenary: Thinking inductively, deductively, and beyond: on the hybrid modeling culture Conference on Machine Learning for Epidemiology and Demography, Ystad, Sweden

September 2022 - Causal inference and machine learning (Methodological issues seminar) Lund University Population Research Platform (LUPOP), Sweden

August 2022 - Image-based Treatment Effect Heterogeneity Center for Causal Inference Symposium (with Connor Jerzak and Fredrik Johansson)

April 2022 - Statistical modeling: the three cultures Harvard University, Prof. Kawachi’s Society and Health Lab, USA

February 2022 - Observatory of Poverty: combining earth observation and deep learning to measure health and living conditions in Africa CHAIR Spotlight on Research, Sweden

2021

December 2021 - Using AI and remote sensing for poverty measurement University of Bristol, Frontiers of Poverty Measurement course, UK

November 2021 - Measuring global development with AI and satellites Group on Earth Observations (GEO) Week 2021

November 2021 - Comments on a Nobel prize in economics for causal inference: what is in it for sociology? University of Gothenburg, Department of Sociology, Sweden

November 2021 - Presenting the AI and Global Development Lab Chalmers AI Research Center, Sweden

October 2021 - Capturing health inequalities with machine learning (MPH students) University of Michigan School of Public Health, USA

October 2021 - Mobilizing satellite images and deep-learning algorithms to estimate living conditions Kyoto University of Advanced Science and Tohoku University, Japan

October 2021 - Measuring human development from space: satellites, deep-learning algorithms, and surveys AI Sweden, Gothenburg, Sweden

June 2021 - International Monetary Fund programs and its effect on children’s living conditions Johannesburg Institute for Advanced Study (JIAS), South Africa

March 2021 - Plenary: Statistical modeling: the three cultures SWE-REG conference, Machine Learning Methods in Medical and Social Sciences, Sweden

February 2021 - Combining satellite images and artificial intelligence to measure poverty in 1982-2020, and estimate causal effects of World Bank and Chinese development programs in Africa Chalmers Technical University, Machine Learning Seminar, Sweden

February 2021 - Favorable policies and funding for children - with and without a pandemic Global Sustainable Futures (with Andres Franco, UNICEF)

2020

April 2020 - Panel: AI and the fight against poverty Science Festival of Gothenburg, Sweden

February 2020 - The rise of machine learning in the social sciences: new opportunities and pitfalls Institute for Analytical Sociology, Norrkoping, Sweden

2019

December 2019 - Designing for treatment heterogeneity in the social and health sciences using machine learning Harvard University, Prof. Laura Kubzansky’s research group, USA

November 2019 - Observatory of poverty: Harnessing machine intelligence to detect poverty and inequality from satellite images Harvard University, Center for Population and Development Studies, USA

November 2019 - Confronting Child Poverty: Using Machine Learning to Evaluate IMF Programs in Low- and Middle-Income Countries Boston University, Frederick S. Pardee Center, USA

November 2019 - Plenary: Harnessing machine intelligence: four ways in which social scientists can deploy learning algorithms Swedish Research Council, Stockholm, Sweden

October 2019 - A framework to applying machine learning and artificial intelligence to social epidemiology and population sciences Harvard T.H. Chan School of Public Health, USA

September 2019 - 3rd Global Data Commons Workshop: Defining Reference Cases and Path Ahead United Nations Global Pulse, New York City, USA

May 2019 - Identifying Impact Heterogeneity of Economic Shocks on Child poverty (peer-reviewed) Atlantic Causal Inference Conference (ACIC)

March 2019 - Children’s risk of poverty during economic crises in the Global South Harvard University, Public Policy and Urban Planning Program, USA

2018

September 2018 - Deploying machine learning in the service of policy evaluation: Economic crisis, global poverty, and inequality Harvard Center for Population and Development Studies, USA

June 2018 - Applying machine learning in the social sciences for statistical inference and data extraction University of Gothenburg, Department of Psychology, Sweden

March 2018 - Examples of how machine learning is changing poverty and policy research Chalmers Machine Learning Group, Sweden

2017

November 2017 - Evaluating robustness in unsupervised machine learning of corpora Alan Turing Institute, European Symposium Series on Societal Challenges, UK

July 2017 - Migration, Health and Health Systems: Frameworks and Data Needs to Impact Policy (peer-reviewed) iHEA World Congress, Revolutions in the Economics of Health Systems

January 2017 - Accounting for selection bias in multilevel models: the case of the International Monetary Fund and child health Political Methodology Group Annual Conference, University of Oxford, UK

2016

April 2016 - The International Monetary Fund’s Structural Adjustments, Spiking Food Prices, and Child Undernutrition Centre for Diet and Activity Research, University of Cambridge, UK

February 2016 - IMF Conditionality, Food Prices, and Child Undernutrition, 2000-2014 University of Cambridge, Department of Sociology, UK

2015

December 2015 - Computational Social Science Research: with some Implications for Health Research UCLA, Fielding School of Public Health, USA

May 2015 - Impact of the Financial Crisis on Children New School for Social Research, Graduate Program in International Affairs, New York, USA

March 2015 - Discussant to Prof. Sanjay Reddy’s “The Global Consumption and Income Project” Columbia University, INET Seminar Series (chaired by Joseph Stiglitz), USA

2014

December 2014 - Using R-programming for Social Scientific Inquiry Max Planck Institute for Studies of Societies, Cologne (with Barbara Fulda), Germany

June 2014 - The Economic Sociology of Scarcity Max Planck Institute for Studies of Societies, Cologne, Germany

2013

October 2013 - Reflections about writing your PhD Max Planck’s IMPRS-SPCE Graduate Retreat, Wuppertal, Germany

September 2013 - Discussant for Patrik Aspers’ “Identity, Relation, and Existence: the Market Case” Economic Sociology and New Theoretical Directions, Noors Slott, Sweden

2011

October 2011 - Vad kan ekonomisk sociologi bidra till var kunskap om ekonomin? - Fokus pa resursknapphet University of Gothenburg, Social Science Day, Sweden

2010

May 2010 - Atlas.ti training session University of Cambridge, Department of Sociology, UK

May 2010 - What is Scarcity? Cambridge Realist Workshop, Clare College, UK

May 2010 - Educational choices, habitus and reflexivity Institute of Education, University of London, UK

April 2010 - Scarcity, Abundance, and Sufficiency: some implications for Sustainability Anglia Ruskin University, Cambridge, UK