New publication showing a causal link between college tuition subsidies and voting
I consulted a micromobility/scooter and bike sharing company based out Los Angeles, CA on survey and survey analysis best practices, techniques for obtaining causally credible estimates using non-experimental user data, and contributed to one of the company's largest and most impactful public-facing assets.
Process a survey from fielding to analysis and interpretation for internal audiences as well as public assets.
Experiments--and randomized control trials (RCTs) in particular--are the golden standard for causal inference. But what do you do when RCTs are infeasible? I leverage difference in dfiferences (DiD) and other techniques to obtain estimates of causal effects from observational data.
Take advantage of scooter rider data to add validity and robustness to survey results. Parse rider habits to inform survey findings.
I worked with an outstanding editorial team at DCPC—and a group of co-authors that I coordinated—to produce a series of articles on the health workforce in Washington. Across a series of bite-sized, public-facing articles, we leveraged (1) publicly available data, (2) original analysis including geocoding and predictive analytics, and (3) numerous FOIA requests to produce the first publicly available snapshots of supply/demand, race/ethnicity and other demographics, and geographic distribution of D.C. health providers to date.
Independently and remotely, I managed distribution, analysis, and presentation for Leading Brands in Government, the flagship market research study produced at GovExec and a major point of marketing, lead generation, and public contact for the company. From outside the company, I coordinated junior analysts and marketing coordinators to solicit more than 5,000 responses to a brand survey, complete public-facing presentation assets, deliver findings (remote audience during the pandemic), and ensure overall client satisfaction. Testimony available below.
Client Testimonial: Frank Salatto, Senior Vice President of Brand and Strategy.
"Our engagement with Igor accomplished every project goal. At each step, we were pleased with the quality and rigor of the analysis as well as the creativity in visualizing and communicating the findings. Igor drove deadlines and anticipated the direction of the project from beginning to end, allowing us to shift key resources away from execution and towards revenue. We trust Igor with one of our flagship ventures and would recommend him to anyone with data, visualization, and presentation needs."
With Cole Rosengren and others on the editorial team at Waste Dive, I provided analytical and research support for a series of articles on waste site expansion as well as labor conditions in the often-dangerous occupations of trash pickup/collection and landfill management. Tasks including writing, analysis of publicly available data on workplace injuries, and fatalities, and writing Python code to scrape difficult-to-obtain web data. Work on labor conditions won an award; details and client testimonial available below.
Read my work covering landfill safety, environmental legislation in New York, and other waste-related issues here.
Client Testimonial: Cole Rosengren, Senior Editor of Waste Dive.
"Igor Geyn has worked with Waste Dive on multiple research projects centering around workplace safety in the waste/recycling industry and has been a valuable asset each time. He's found innovative ways to collect data we needed, shown ability to work with different types of datasets and provided thoughtful analysis. I've found him to be thorough and diligent in this work, providing organized and clear results that are useful foundations for our reporting on these stories."