Presentations

Platform Jumping: Network Analysis of How Political Memes Seeded on Reddit Diffuse to Twitter, at Chicago, IL, Tuesday, July 19, 2022

8th International Conference on Computational Social Science

Social media platforms have become an essential public space for political activism and movement building. On its official Twitter account @reddit proudly proclaimed that Reddit is "Where Memes Original from." Scholars and journalists have investigated this premise. Hashtags...

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Collecting, Analyzing, and Visualization Conversation Networks Using NetworkX and Flourish, at Oslo, Norway, Friday, June 24, 2022

Global Fact 9 Conference (https://globalfact9.com/register)
This session trains participants to apply social network analysis methods, techniques, and software libraries to reveal relationships among Twitter users who are engaged in conversation about any topic. 

A demo of the social network analysis of tweets between scientists and journalists can be seen here: https://scholar.harvard.edu/hongqu/software/network-scientists-and-...

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Using Networks Analysis and Visualization to Explain COVID-19 Spread through the Physical, Social, and Information Graphs, at New York, NY, Thursday, June 9, 2022

2022 C+J Conference at Columbia Journalism School
https://cj2022.brown.columbia.edu/schedule
Register

Understanding network science and compartmental models in epidemiology are essential to understanding, explaining, intervening, and...
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A Discovery Process for Spotting Structural Inequalities in AI Systems Friday, March 25, 2022

The risk of delegating high-stakes decisions to AI exposes everyone to unequal treatment because these seemingly impartial algorithms are the product of harmful data and practices that may amplify historical biases in society. Fairness requires vigilance and accountability from stakeholders at every stage of AI lifecycles. We propose the AI Blindspot toolkit for advancing equity in AI systems.

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Tools for Combatting Bias in Datasets and Models , at Stanford, CA, Wednesday, February 3, 2021

New research has illustrated the many ways that racial and other biases are reproduced through AI, machine learning, and other new technologies, impacting everything from advertising to policing to hiring. Join us for a conversation with researchers have developed tools to help identify and mitigate this bias in datasets and models, including datasheets, model cards, and FactSheets.

Timnit Gebru | leading researcher...

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An Ethical Approach to AI & Governance, at Cambridge, MA, Tuesday, August 4, 2020

Belfer Policy Chat

Gretchen Greene, Technology and Public Purpose Project research fellow, and Hong Qu, the Research Director on the Council on the Responsible Use of Artificial Intelligence, will discuss their research on AI and governance from challenging the use of facial recognition, to mitigating consequences from biased training data sets, to working with local officials to ensure that the use of AI technology in public policy does not perpetuate historical inequities.

...

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Designing High Impact Data Visualizations, at Harvard Kennedy School, Tuesday, November 12, 2019:

This workshop will introduce design principles for creating data visualizations that are elegant and capture the essence of an insight, message, or recommendation distilled from data analysis.  You will learn guidelines for selecting the appropriate types of charts for representing the underlying data and conveying key takeaways. There will be hands-on exercises using web-based software such as Flourish to generate graphs and charts effortlessly.  Participants will be introduced to a workflow for designing high impact visuals for publication in reports, presentations, and...

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