2024: Generative AI Learning Lab series

We’re hosting a NetGain Generative AI Learning Lab series. These are monthly 1-hour sessions on topics related to generative AI with experts working at the intersection of AI and politics.


2023-24: Finance Focused Strategies webinar series

A webinar series organized by the NetGain Partnership to exlpore efforts to engage tech funders and investors in ensuring existing and emerging technologies uphold human rights and better serve the public interest.


2023: AI Summer webinar series

In July and August 2023, NetGain and Computer Says Maybe hosted four webinars — facilitated by Alix Dunn — to provide accessible education opportunities on key topics around large language models and generative AI.




January 26, 2021

New Approaches to Platform Data Research

Event page


2020: COVID-19 and Digital Society Webinar Series

We find ourselves in a challenging and uncertain time as the COVID-19 pandemic crisis grows in the US and around the world. Despite efforts by governments and the public to take significant protective measures, we cannot be sure how long the crisis will last or what the final impact of the pandemic will be on the world and different communities.

The NetGain Partnership is deeply concerned about the impact of COVID-19 on technology and society, especially as the crisis exacerbates economic and social inequities across the world and challenges our democratic institutions. There is a significant need for funders and civil society organizations to access critical information to help them understand the current and future impacts of COVID-19 on society and the unique role that technology and the internet are playing as the crisis continues. To meet this need, the NetGain Partnership hosted a series of webinars, for both funders and grantees, to explore technological issues and harms that have emerged as a result of COVID-19 and actionable responses from civil society to address them.

Visit any event page to learn more about specific webinars, access video archives or read one-page summaries.