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About GW OSCON

Johns Hopkins University
title: Field Trip: GW OSCON
short_title: Lecture 09
subtitle: Modeling Macroeconomics | Lecture 09
label: lecture-09
date: 2026-03-24
description: Field trip to the GW Second Annual Open Source Conference (GW OSCON), hosted by the George Washington University Open Source Program Office.
tags:
  - field-trip
  - open-source
  - GW OSPO
  - GW OSCON

About GW OSCON

GW OSCON is a two-day conference (March 23–24) bringing together researchers, engineers, and policymakers around open-source software. Sessions span AI-era software trust, civic technology, public health, and community sustainability.

Session 1: Panel (11:00 am – 12:00 pm)

“Code at Scale: Trust, Quality, and Sustainability in AI-Era Open Source”

Moderator: Prof. Lorena A. Barba (GW OSPO Faculty Director)

PanelistAffiliation
Alex MillerData Scientist, Maryland State Innovation Team (Office of Governor Wes Moore)
Dr. Will BarnesResearch Assistant Professor, American University; Research Scientist, NASA Goddard
Dmitry SagalovskiyCo-founder & Co-CEO, Grist Labs
Jake Diamond-ReivichCEO, Mito; Executive Council Member, Project Jupyter

Session 2: Breakout Sessions, Room 311 (1:00 pm – 2:00 pm)

TimeSpeakerTitle
1:00 pmDaniel Schuman“Finding Legislative Data”
1:20 pmPedro Vicente“Civic Technology for the Web: Use Cases of DC311, WMATA Trains, and Congress API”
1:40 pmJay Qi“Making Data Ethics Actionable”

Session 3: Lightning Talks (2:15 – 3:15 pm)

Ten short talks covering AI auditing, open-source governance, and community engagement. The instructor presented “Economics Informed Neural Networks.”

Learning Objectives

By the end of this session, students will be able to:

  1. Describe the role of an Open Source Programs Office in a research institution

  2. Relate open-source infrastructure (Python, Jupyter, QuantEcon, Econ-ARK) to the research tools used in this course

  3. Articulate sustainability and trust challenges in AI-era open-source software development

  4. Explain how open-source tools and economics intersect, from civic data to scientific computing