Academic Website

I'm a Postdoctoral Fellow at the Management and Org. Dept of Kellogg School of Management and Northwestern Institute on Complex Systems. My research falls under Computational Social Science and addresses the dynamics in technology, the structure of human knowledge, and the organization of work.

I study the interplay between technology and human knowledge: you can do most things either by relying primarily on a tool or primarily on your skills. For example, you can solve a system of linear equations with a (good enough) calculator or apply your knowledge of matrix algebra using a pen and paper. The same idea extends to every task an economy does.

How should we divide and organize tasks between technology and human skills? What technologies should we in invent? And what skills should we develop? Ideally, we'd want answers that help the economy grow, the firm to succeed, and the human workers to get a fair share of the generated value. The answers my research offers are at the interplay of complexity, organizational science, innovation, and studies of the future of work.

I received my Ph.D. in Management Information Systems (thesis: "Structure of Knowledge and the Role of General Capital.") I was trained as an industrial engineer (BSc and MSc), and my field experience influences my empirically grounded approach to using large volumes of data for scientific insights and polic. My research uses computational tools and network analysis, econometrics, and machine learning.

AOM CTO Best Paper Award

My paper with Ali Tafti, Influence of Artificial Intelligence on Firm Innovation Behavior, has been selected among the CTO Best Papers. An abridged version will appear in the conference proceedings and I will present the work at the annual meeting and. Looking forward to meeting people there!

Conference News - IC2S2

I will present my paper, A Complexity Aproach to Human Capital, a collaboration with Hyejin Youn, Frank Neffke and LT Zhang at the International Conference on Computational Social Science 2024 (IC2S2) in Philly. Hope to see you there.

Job Update

I will start as a Postdoctoral Fellow at the Dept. of Management & Organizations of Kellogg School of Management in Jan 2024.

Working Paper News

Dec 25, 2023 - ​Find our working paper: Moh Hosseinioun and Ali Tafti: Search Benefits of General Resources: Recombination Premiums of AI.

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PhD Graduation

PhDed (on a cold windy Chicago day).

PhD Dissertation Defended

Oct 26, 2023. I defended my dissertation titled: Structure of Knowledge and the Role of General Capital.

Presentation (ICSSI)

Jun 26 2023 at 3:45-4:45 I will present my work on skill structure at the International Conference on the Science of Science and Innovation (ICSSI) at the Kellogg Global Hub Room L070 (Concurrent Session 1D: Collaboration and Teams I.) Link to a working version in the title.

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Working Paper News

Mar 28, 2023 - ​Find our working paper: Moh Hosseinioun, Frank Neffke, LT Zhang, Hyejin Youn: Nested Skills in Labor Ecosystems: A Hidden Dimension of Human Capital.

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Presentation (HKS Growth Lab)

Mar 20, 2023 - Joint presentation of my collaboration with Hyejin Youn, Frank Neffke, and LT Zhang on skill structure at Harvard Growth Lab. Join us in person or online.

NICO Lightning Talk - Unpacking Human Capital Using Occupational Data

NICO Lightning Talk - Unpacking Human Capital Using Occupational Data

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In my free time, I enjoy playing soccer and volleyball, skiing, music, cooking, and bugging my cat, Mocha. I'm an avid reader and love to learn new languages— I speak Persian and English and a bit of French (now probably broken French), and I am trying to learn Mandarin. I love three things in particular: coffee, ice cream, and coffee ice cream!

Academic Journey:
I received my bachelor's and master's degrees in Industrial Engineering and Systems. I have worked as a Systems and Process Engineer in several small companies and spent almost a year as an Engineer-in-residence at Caterpillar Inc. My industry experiences, in many ways, motivate my research on productivity and the changes in the structure of work, induced by technical change and innovation.

Before starting my Ph.D. journey in Information Systems, most of my research focused on Machine Learning using Fuzzy Logic (If you haven't heard of it, it's an alternative way of reasoning or logic to the more common statistical framework that dominates Machine Learning today). I worked at the Artificial Intelligence Laboratory at Amirkabir University during my bachelor's, working on several projects. Later, I did my master's thesis on improving Machine Learning on incomplete data by applying Fuzzy Logic (Type II).