About Me

I’m an assistant professor of Computational Sciences at Minerva Schools at Keck Graduate Institute. I was previously a postdoctoral fellow at Johns Hopkins Bloomberg School of Public Health. My current research involves 1) analyzing students' online behavior, 2) workers in the new economy. I received my Ph.D. in economics from the Graduate Center, CUNY in 2017. My general research interests are Education Policy and Education Technology, Statistical Methods in Learning Analytics, Future of Work, and Economic Inequality

Academic Positions

Minerva Schools at Keck Graduate Institute

Assistant Professor of Computational Sciences, 2020--Current
Johns Hopkins University, Bloomberg School of Public Health

Postdoctoral Fellow, 2017--2020
Columbia University, Barnard College

Adjunct Instructor, 2016--2017

Education

CUNY-Graduate Center

Ph.D. in Economics, 2017
Texas Tech University

Master of Arts in Economics, 2011
<> Iran University of Science and Technology
Master of Science in Control Systems, 2008
Iran University of Science and Technology
Bachelor of Science in Electrical Engineering, 2005

Almasi, P., Hadavand, A., Thomas, S., Gharehgozli, O., Relevance of Education to Occupation: A New Empirical Approach Based on College Courses, (2020) Education Economics, (link)
Trujillo, A., Hadavand, A., Jennings, L., Amalia Pesantes, M., Diez Canseco, F., Miranda, J.J., Ignorance or Motivated Beliefs: The Role of Motivated Beliefs in Self-management of Diabetes, (2020) Journal of Bioeconomics, (link).
Myint L., Hadavand A., Jager L., Leek J., Comparison of Beginning R Students’ Perceptions of Peer-Made Plots Created in Two Plotting Systems: A Randomized Experiment, (2019) Journal of Statistics Education, (link)
Hadavand, A., Muschelli, J., Leek, J., Analysis of Student Behavior Using the R Package crsra, (2019) Journal of Learning Analytics, 6(2). (link)
Hadavand, A., Misperceptions: An Analysis of Subjective Economic Inequality, Research on Economic Inequality, 26,247-281 (link).
Hadavand, A., Educational Aid Policy and Inequality: The Case for Merit- and Need-Based Aid, (2018) Review of Social Economy, 76:4, 535-562 (link).
Tofighi, B., Leonard, N., Greco, P., Hadavand, A., Acosta, M. C., & Lee, J. D., Technology Use Patterns Among Patients Enrolled in Inpatient Detoxification Treatment. (2018) Journal of addiction medicine (link).

Hadavand, A., Hamermesh, D., Wilson, W., Is Scholarly Refereeing Productive (at the Margin)?, (pdf).
Hadavand, A., Gooding, I., Leek, J.T., Can MOOC programs improve student employment prospects?, SSRN Working Paper Series (Link).
Hadavand, A., Anatomy of Income Inequality in the United States: 1979-2013, LIS Working Papers (pdf).

crsra
Hadavand, A., Muschelli, J., Leek, J.T., crsra: Tidying and Analyzing ‘Coursera’ Research Export Data, Available on CRAN, https://CRAN.R-project.org/package=crsra.
citec
Hadavand, A., citec: A Package for Scraping RePEc CitEc Data, Available on https://github.com/ahdvnd/citec.

Hadavand, A., Sikri, D., Johar, I., Kluger, L., Kadochnikov, N., Dasgupta, S., Senthuran, T., Yoshioka T., Intelligent Identification of White Space Target Entity: A Machine Learning Algorithm for Client/Product Matching, IBM, Patent Pending, August 2016.

Minerva Schools at KGI
Causal Inference, 2020 -- Econometrics, 2021
Columbia University, Barnard College
Economics of Inequality, Econometrics, Introduction to Economic Reasoning, 2016--2017.
Cloud Based Data Science, Johns Hopkins University
Data Science, 2017--2019
IBM Chief Analytics Office
Causal Inference, 2016
Pepsi
Data Entry in R, 2017
CUNY, Brooklyn College
Graduate Econometrics, Elementary Microeconomics, Elementary Macroeconometrics, 2012--2016.
Yeshiva University
Econometrics, 2015--2016
Texas Tech University
Principles of Economics, 2011

Creating Versatile Online Lectures with Dynamic Tools
Co-PI, Johns Hopkins Delta Grant in Digital Education & Learning Technology Acceleration ($50,000), 2019
Pilot in data science education as an economic intervention in Baltimore
Co-PI, Abell Foundation ($40,000), 2019
LERA Best Paper Award
LERA 70th Annual Meeting, Baltimore, MD, 2018
Dissertation Fellowship Award
CUNY, Graduate Center ($25,000), 2017
Doctoral Student Research Grant
CUNY, Graduate Center ($2,000), 2017
Sallie Mae Graduate Student Award
Sallie Mae, ($1,000), 2015
Advanced Research Collaborative Fellowship
CUNY, Graduate Center ($2,000), 2013
Quantitative Reasoning Fellowship
CUNY, BMCC ($20,000), 2013
Chancellor’s Fellowship
CUNY, Graduate Center ($25,000 for 5 years), 2011

Symposium on Data Science & Statistics (SDSS)
Data Science Education as an Economic Mobility Intervention, 2020 (link)
PAA Annual Meeting
Can MOOC Programs Improve Student Employment Prospects?, 2018
IDIES Symposium, Johns Hopkins University
Data Science Education as a Mobility Intervention, 2019 (link)
Iranian National Commission for UNESCO
MOOCs: Challenges and Prospects, 2019 (link)
University of South Carolina, Dept. of Statistics
Can MOOC Programs Improve Student Employment Prospects?, 2018 (link)
ECINEQ, Society for the Study of Economic Inequality
Anatomy of Income Inequality in the United States, 2017
PAA Annual Meeting
Anatomy of Income Inequality in the United States, 2017
Eastern Economic Association Conference
Misperception and Mismeasurement of Income Inequality, 2017
Applied Economics Seminar, CUNY-GC
Anatomy of Income Inequality in the United States, 2017
LIS Seminar Series, CUNY-GC
Anatomy of Income Inequality in the United States, 2016
Columbia University, Barnard College
Teaching with Technology, 2016
CENS Lab, Stevens Institute of Technology
A Dynamic Model of China's One-Child Policy, 2014

Reviewer
Education Finance and Policy, Energy Economics
Member
Institute for New Economic Thinking (INET), Labor and Employment Relations Association (LERA), American Economic Association

Cloud-Based Data Science
Cloud-Based Data Science (CBDS) consists of two parts. One, a set of pay-what-you-want (including free!) massive open online courses that can be completed on any computer with a web browser and an internet connection. Read more about the project here. There is an article in JHU Public Health magazine about the program here.
Cauzl
I am a co-founder of Cauzl which is a platform for learning causal inference, econometrics and statistics in an intuitive and fun way. The project is at its final stages and it is currently being user tested. You can check the website here!
Inequality.Education
Inequality.education will be a collaborative project by Barnard College students in the course Economics of Inequality, Aboozar Hadavand, and Sarah Thomas. This book will hopefully serve as a source, or an encyclopedia, for undergraduate students interested in inequality through an economic lens. The website will be ready soon and will be the first attempt to create a textbook for an undergraduate Economics of Inequality class.
The Canvass
The Canvass is the first platform in economics that encourages and facilitates post-publication discussion. The Canvass also aims to encourage research by exposing ideas so that faculty, researchers, and students themselves develop a more nuanced understanding of important issues in economics. Researchers can subscribe to discussions so they will be notified of new development of the debate.