Research Planning

A Practical Guide to Shift-Share Instruments (and What I Learned Replicating the China Shock)

November 26, 2025
by Jiayu Lai. Shift-share instruments are among the most widely used tools in applied economics, appearing in labor, trade, immigration, and policy evaluation research. But despite their popularity, many researchers still use them as black boxes — and risk invalid instruments as a result. In this blog post, I unpack how shift-share IVs actually work, why their validity depends on both the “shifts” and the “shares,” and what practical steps researchers should take to check assumptions. I also walk through how I used the Borusyak–Hull–Jaravel (2022, 2025) framework to reproduce the seminal Autor, Dorn, and Hanson (2013) China shock analysis.

Lance Santana

Consulting Drop-In Hours: By appointment only

Consulting Areas: APIs, ArcGIS Desktop - Online or Pro, Bayesian Methods, Cluster Analysis, Data Visualization, Databases and SQL, Excel, Git or GitHub, Java, Machine Learning, Means Tests, Natural Language Processing (NLP), Python, Qualtrics, R, Regression Analysis, Research Planning, RStudio, Software Output Interpretation, SQL, Survey Design, Survey Sampling, Tableau, Text Analysis

Quick-tip: the fastest way to speak to a consultant is to first ...

Aidan Lee

Consulting Drop-In Hours: By appointment only

Consulting Areas: ArcGIS Desktop - Online or Pro, Bayesian Methods, Causal Inference, Cluster Analysis, Data Sources, Data Visualization, Databases and SQL, Digital Health, Excel, Experimental Design, Geospatial Data: Maps and Spatial Analysis, Git or GitHub, LaTeX, Machine Learning, Means Tests, Mixed Methods, Natural Language Processing (NLP), OCR, Python, Qualtrics, R, Regression Analysis, Research Design, Research Planning, RStudio, RStudio Cloud, SAS, Software Output Interpretation, SPSS, SQL,...

John Louis-Strakes Lopez

Postdoctoral Scholar
Berkeley School of Education

John Louis-Strakes Lopez is a Data Science Education postdoctoral scholar. He recently received his PhD in Education from University of Caifornia, Irvine. John’s work looks at student epistemological development within data science contexts. He is also interested in designing -and studying artificial intelligence and playful learning technologies for learning. John serves as a co-chair for the International Learning Sciences Student Association.

Beyond work, you will find John reading at a local coffee shop or eating a warm bowl of Pho.

How to Get Involved in Computing Research as a Undergrad at UC Berkeley

October 15, 2025
by Abby O'Neill. Are you an undergrad interested in getting involved in CS/DS research? This blog post gives some advice for navigating the Berkeley research landscape. It includes mentions of structured programs like DARE, URAP, and Data Science Discovery, as well as cold emailing strategies and using office hours effectively. The main takeaway: Know your why, don't filter yourself out, and focus on finding people and projects that align with your goals.

Maksymilian Jasiak

Data Science & AI Fellow 2025-2026
Civil and Environmental Engineering

Maksymilian Jasiak is a PhD Student in GeoSystems Engineering at the University of California, Berkeley. His research focuses on Distributed Fiber Optic Sensing (DFOS) for lifeline infrastructure monitoring. His work aims to advance critical infrastructure security and resilience. He holds a MS in GeoSystems Engineering from the University of California, Berkeley and a BS in Civil Engineering from the University of Illinois Urbana-Champaign.

Scarlet Sands-Bliss

Data Science & AI Fellow 2025-2026, Domain Consultant, Research IT
School of Public Health

Scarlet Bliss is an MS/PhD student in Epidemiology in the School of Public Health. Her work focuses on mixed methods approaches to characterizing and preventing spread of antimicrobial resistance and other enteric pathogens via the environment. She has experience in statistical analysis and public health bioinformatics. She is interested in ethical use of big data as it relates to epidemiologic research.

Carly Karrick

Data Science & AI Fellow 2025-2026
Department of Environmental Science, Policy, and Management

Carly is a Ph.D. candidate in the Environmental Science, Policy, and Management Department. As an environmental microbiologist, Carly is excited by questions about how microorganisms influence host health. Specifically, Carly studies how microalgae, bacteria, and viruses influence coral disease in the Caribbean and Gulf of Mexico, and how these microorganisms are distributed on Pacific coral reefs. Her research utilizes a range of data science and bioinformatic tools to integrate DNA- and RNA-based signatures of microbial activity with microscopy image analysis. Carly received...

Paige Park

Data Science & AI Fellow 2025-2026
Demography

Paige Park is a Doctoral candidate in Demography. Her dissertation investigates applications of AI to demography, including deep learning based demographic forecasting. She is interested in using emerging tools to better model and contextually understand mortality, fertility, and migration patterns, particularly in the US context. She received an MA in Statistics from UC Berkeley in 2023.

Elaine (Hua) Luo

Data Science Fellow 2024-2025
School of Education

Elaine (Hua) Luo is a PhD candidate in the Graduate School of Education, School Psychology PhD program. Her research interests focus on adolescents’ identity development and well-being under the transactional influence of entities in their socio-ecological systems. In her research, Elaine has utilized not only quantitative but also qualitative and mixed methods to study her research topics of interest. Before coming to Berkeley, Elaine earned her Master’s in Human Development and Psychology from Harvard Graduate School of Education and her Bachelor of Art in Education Sciences from...