Aboozar Hadavand

Personal Website

  • About Me

    I’m an assistant professor of Computational Sciences at Minerva University. I was previously a postdoctoral fellow at Johns Hopkins Bloomberg School of Public Health. My current research involves analyzing Massive Open Online Courses (MOOC) data. I received my Ph.D. in economics from the Graduate Center, CUNY in 2017. My research interests are Education Policy and Education Technology, Statistical Methods in Learning Analytics, Future of Work, and Economic Inequality.

Academic Positions

  • Minerva University

    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

Work Experience

  • Art of Metrics

    Co-founder, 2016--Current

  • IBM

    Senior Strategy Consulting Intern, Summer 2016

  • Pooyesh Niroo

    Sales Manager, 2006--2008

Journal Articles

  • 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)

  • 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).

Pre-Prints

  • 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).

  • 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, Submitted to Review of Behavioral Economics (pdf).

Software

Patents

  • 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.

Teaching

  • Minerva University

    Causal Inference, 2020

  • Columbia University, Barnard College

    Economics of Inequality (Syllabus), Econometrics (Syllabus), Introduction to Economic Reasoning (Syllabus), 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

Grant, Fellowships, Awards

  • 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

Invited Talks & Conference Presentations

  • 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

Services & Memberships

  • Reviewer

    Education Finance and Policy, Energy Economics

  • Member

    Institute for New Economic Thinking (INET), Labor and Employment Relations Association (LERA), American Economic Association

Projects

  • 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.

  • Art of Metrics

    Art of Metrics in a learning management system for learning causal inference, econometrics and statistics in an intuitive and fun way. The project is at its final stages and we hope to have the first student on the platform by the end of March, 2020.

  • 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.