Early-Career Funding for Improving the Long-Term Future — Scholarship Support (2022)
- Organization:
- Early-career funding for individuals interested in improving the long-term future
- Award Date:
- 02/2022
- Amount:
- $1,369,512
- Purpose:
- To support work and study related to improving the long-term future.
Open Philanthropy recommended a total of approximately $1,369,512 over two years in flexible support to enable early-career individuals to pursue work and study related to improving the long-term future.[1] Open Philanthropy sought applications for this funding here. Recipients include:
- Fatima Afzali, self-study related to AI safety
- Emefa Agawu, career development
- Riley Baird, Bachelor of Science (Honours) in post-quantum cryptography at UNSW Canberra
- Christina Barta, JD at Columbia Law School with a focus on emerging tech governance
- Julia Broden, living expenses during a Master's in Statistics and Data Science at LMU Munich
- Jonathan Cunningham, Master's in Economics at the University of Texas at Austin
- Tim Farrelly, self-study related to AI safety
- Daniel Gitu, self-study related to AI safety
- Manon Gouiran, research on moral circle expansion at the University of Edinburgh
- Ben Greenberg, self-study related to AI safety
- Julian Hazell, self-study related to AI governance
- Fynn Heide, self-study and research on international politics and policy
- Gemma Irving, Master's in International Relations at King's College London
- Ole Jorgensen, Master's in Machine Learning at University College London
- Bartu Kaleagasi, Master's in International Affairs at Columbia University
- Konstantinos Konstantinidis, self-study related to nuclear risk
- Petra Kosonen, PhD in philosophy at the University of Oxford
- Kay Kozaronek, self-study related to AI safety
- Patrick Leask, Master's in Computer Science at the University of Liverpool
- Aidan Mackenzie, congressional internship
- Fergus McCormack, self-study related to AI governance
- Brian Muhia, self-study related to AI safety
- Nikhil Mulani, self-study related to corporate governance and longtermist investing
- Arvind Raghavan, internship with the Causal AI Lab at Columbia University
- Javier Ramirez, Master's in Machine Learning at ETH Zurich
- Tilman Räuker, self-study related to AI safety
- Jeremy Rubinoff, self-study related to AI safety
- Alexandra Souly, Master's in Machine Learning at University College London
- Anish Upadhayay, participation in an online course on deep reinforcement learning
- Junshi Wang, research internship on causal inference at Cambridge and semester abroad at the University of California, Berkeley
- Daphne Will, self-study related to AI safety
- Michael Yang, self-study related to technology policy and AI policy
- Rustam Zayanov, Master’s in Data Science and Engineering at Instituto Superior Técnico
- Angela Zhong, internship at the United States Mission to the United Nations
Open Philanthropy is still in the process of finalizing scholarship recipients and will update the list above as recipients are confirmed.
This falls under Open Philanthropy's work aimed at growing the community of people working to improve the long-run future.