Natural Language Processing in Policy Evaluation: Extracting Policy Conditions from IMF Loan Agreements. - Joakim Åkerström; Adel Daoud; Richard Johansson (NODALIDA, 2019)

Combining distributive ethics and causal Inference to make trade-offs between austerity and population health. - Adel Daoud; Anders Herlitz; S. V. Subramanian (CoRR, 2020)

Statistical modeling: the three cultures. - Adel Daoud; Devdatt P. Dubhashi (CoRR, 2020)

Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows. - Sourabh Balgi; José M. Peña 001; Adel Daoud (AAAI, 2022)

Conceptualizing Treatment Leakage in Text-based Causal Inference. - Adel Daoud; Connor T. Jerzak; Richard Johansson (NAACL-HLT, 2022)

Using satellites and artificial intelligence to measure health and material-living standards in India. - Adel Daoud; Felipe Jordan; Makkunda Sharma; Fredrik D. Johansson; Devdatt P. Dubhashi; Sourabh Bikash Paul; Subhashis Banerjee (CoRR, 2022)

Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows. - Sourabh Balgi; Jose M. Peña 001; Adel Daoud (CoRR, 2022)

Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa. - Connor T. Jerzak; Fredrik Johansson 002; Adel Daoud (CoRR, 2022)

ρ-GNF : A Novel Sensitivity Analysis Approach Under Unobserved Confounders. - Sourabh Balgi; José M. Peña 001; Adel Daoud (CoRR, 2022)

Eliminating Selective Dropping Attack in Mobile Ad Hoc Network. - Mahdi Bounouni; Louiza Bouallouche-Medjkoune; Abderrahmane Beraza; Adel Daoud (Wirel. Pers. Commun., 2022)

Image-based Treatment Effect Heterogeneity. - Connor Thomas Jerzak; Fredrik Daniel Johansson; Adel Daoud (CLeaR, 2023)

Time Series of Satellite Imagery Improve Deep Learning Estimates of Neighborhood-Level Poverty in Africa. - Markus B. Pettersson; Mohammad Kakooei; Julia Ortheden; Fredrik D. Johansson; Adel Daoud (IJCAI, 2023)

Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities. - Connor T. Jerzak; Fredrik D. Johansson; Adel Daoud (CoRR, 2023)

CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images. - Connor T. Jerzak; Adel Daoud (CoRR, 2023)

ρ-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows. - Sourabh Balgi; José M. Peña 001; Adel Daoud (PGM, 2024)

Counterfactually-Equivalent Structural Causal Modelling Using Causal Graphical Normalizing Flows. - Sourabh Balgi; José M. Peña 001; Adel Daoud (PGM, 2024)

Deep Learning With DAGs. - Sourabh Balgi; Adel Daoud; José M. Peña 001; Geoffrey T. Wodtke; Jesse Zhou (CoRR, 2024)

Can Large Language Models (or Humans) Distill Text? - Nicolas Audinet de Pieuchon; Adel Daoud; Connor Thomas Jerzak; Moa Johansson; Richard Johansson (CoRR, 2024)

Planetary Causal Inference: Implications for the Geography of Poverty. - Kazuki Sakamoto; Connor T. Jerzak; Adel Daoud (CoRR, 2024)

Encoding Multi-level Dynamics in Effect Heterogeneity Estimation. - Fucheng Warren Zhu; Connor T. Jerzak; Adel Daoud (CoRR, 2024)

Analyzing Poverty through Intra-Annual Time-Series: A Wavelet Transform Approach. - Mohammad Kakooei; Klaudia Solska; Adel Daoud (CoRR, 2024)

Mapping Africa Settlements: High Resolution Urban and Rural Map by Deep Learning and Satellite Imagery. - Mohammad Kakooei; James Bailie; Albin Söderberg; Albin Becevic; Adel Daoud (CoRR, 2024)

Increasing the Confidence of Predictive Uncertainty: Earth Observations and Deep Learning for Poverty Estimation. - Mohammad Kakooei; Adel Daoud (IEEE Trans. Geosci. Remote. Sens., 2024)

Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-Poverty RCTs. - Fucheng Warren Zhu; Connor Thomas Jerzak; Adel Daoud (CLeaR, 2025)

Sensitivity analysis to unobserved confounding with copula-based normalizing flows. - Sourabh Balgi; Marc Braun; José M. Peña 001; Adel Daoud (Int. J. Approx. Reason., 2025)

Benchmarking Debiasing Methods for LLM-based Parameter Estimates. - Nicolas Audinet de Pieuchon; Adel Daoud; Connor T. Jerzak; Moa Johansson; Richard Johansson (CoRR, 2025)

Platonic Representations for Poverty Mapping: Unified Vision-Language Codes or Agent-Induced Novelty? - Satiyabooshan Murugaboopathy; Connor T. Jerzak; Adel Daoud (CoRR, 2025)