Elisa D’Amico

Data Work and Experience

Research and Data Experience

  • 2026–ESOC Lead, eEarth, Empirical Studies of Conflict (ESOC) and International Crisis Group collaboration
    Liaising between Crisis Group’s eEarth team and ESOC researchers on resource-related conflict early warning
  • 2025–Data Manager, Global PeaceHub: Mediation and Negotiators Database (MEND)
  • 2023–2024Data and Modeling Research Consultant, University of Denver and World Wildlife Fund
    Forecasting future fisheries conflict; working with big data and running prediction models
  • 2023Automation Research Consultant, University of St Andrews, School of International Relations
    Global Fragmentation and Peacemaking PeaceRep Consultancy and Database Building
  • 2023Data Scientist, Chicago Public Schools, School Counseling and Postsecondary Advising
    Data science, empirical modeling, Google Apps Script, SQL, and SAS
  • 2023Quantitative Research Associate, Institute for Racial Justice
    Transcribed and coded focus group recordings, synthesizing data on equity in gifted programming
  • 2018–2023Research Assistant, Loyola University Chicago, Department of Political Science
    Worked with E. Hansen, K. Camarena, P. Boyle, S. Maxey, T. Maboudi, M. Melin, S. Kang, and J. Kao
  • 2017Special Interest Groups Data Analyst, Project VoteSmart
    Web-scraping and cleaning of special interest groups data in R
  • 2016Research Analyst, The Scottish Parliament, Edinburgh
    Served under Alex Rowley, Member of the Scottish Parliament. Devolution of powers, taxation, and public well-being

GitHub profile of Elisa D’AmicoView my GitHub

Computer and Technical Skills

  • Data Skills: Querying (SQL, Google BigQuery); geospatial analysis; web scraping and data mining; machine learning (k-means); text analysis
  • Software Proficiency: R, Python, SQL, Stata, QGIS, SAS, SPSS, JMP, Excel VBA, Google Apps Script, LaTeX
  • Statistical Methods: Difference-in-Differences; Survey Experiments; Granger Causality; OLS; Multilevel Models; Logistic Regression; Survival Analysis (Weibull, Cox-PH); Random Forest; Generalized Additive Models; Change Point Analysis; Principal Component Analysis

Certifications

  • 2023DataCamp Data Scientist Professional, R, SQL, and Python
  • 2023Qualtrics XM Professional Certification
  • 2022Empirical Implications of Theoretical Models (EITM) Certification

Ad Hoc Projects

  • Stata templates for quasi-experimental projects
  • Chicago crime and census data via R and APIs
  • Interactive map of climate disasters and migration
  • Qualtrics quizzes with complex grading schemes
  • Merging climate law data with Excel VBA and Stata

Replication Data

Data and code for my published articles are on Harvard Dataverse.

Selected Projects and Tools