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Ada Lovelace Fellowship

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Ada Lovelace Fellowship
NameAda Lovelace Fellowship
Established2009
FieldsComputer Science, Mathematics, Engineering

Ada Lovelace Fellowship

The Ada Lovelace Fellowship is a research and mentorship award focused on advanced computational sciences, honoring the legacy of Ada Lovelace by supporting scholars in computer science, mathematics, and engineering. The fellowship connects recipients with institutional hosts such as Massachusetts Institute of Technology, Stanford University, and University of Cambridge, while fostering collaborations with organizations including Google, Microsoft Research, and IBM Research. Recipients have included academics affiliated with Oxford University, Harvard University, Princeton University, and Carnegie Mellon University.

Overview

The fellowship awards multi-year support for postdoctoral researchers and early-career faculty at institutions like California Institute of Technology, ETH Zurich, Imperial College London, University of California, Berkeley, and University of Toronto. The program emphasizes interdisciplinary work linking labs such as MIT Computer Science and Artificial Intelligence Laboratory, Stanford Artificial Intelligence Laboratory, Berkeley Artificial Intelligence Research Lab, and Microsoft Research Cambridge. Fellows collaborate with partners including DeepMind, OpenAI, and Facebook AI Research, and present findings at conferences such as NeurIPS, ICML, CHI, SIGGRAPH, and STOC.

History and Establishment

The fellowship was established in 2009 through initiatives involving institutions like Royal Society, National Science Foundation, Wellcome Trust, and philanthropic entities including Gates Foundation and Leverhulme Trust. The founding advisory board featured scholars from Alan Turing Institute, Max Planck Society, CNRS, Rutherford Appleton Laboratory, and Lawrence Berkeley National Laboratory. Early partnerships included European Research Council, Japan Society for the Promotion of Science, Australian Research Council, and corporate partners such as Intel and NVIDIA. The fellowship expanded throughout the 2010s with collaborations involving Google DeepMind Ethics & Society, Turing Institute, and Kavli Institute for Theoretical Physics.

Eligibility and Selection Criteria

Candidates are typically researchers with doctoral degrees from universities such as University of Oxford, Yale University, Columbia University, University of Chicago, and Cornell University. Selection committees draw members from bodies like Association for Computing Machinery, Institute of Electrical and Electronics Engineers, Royal Academy of Engineering, and American Mathematical Society. Criteria include demonstrated scholarship through publications in venues such as Nature, Science, Communications of the ACM, Journal of the ACM, and Proceedings of the National Academy of Sciences. Applicants submit portfolios referencing collaborations with groups like Los Alamos National Laboratory, Argonne National Laboratory, and Brookhaven National Laboratory. Review processes include external assessments from experts at Princeton Plasma Physics Laboratory, Sloan Kettering Institute, and Salk Institute for Biological Studies.

Program Structure and Benefits

Fellowships provide stipends comparable to awards from Marie Skłodowska-Curie Actions, Humboldt Research Fellowship, Rhodes Scholarship, and Fulbright Program, along with research budgets akin to grants from Engineering and Physical Sciences Research Council and National Institutes of Health. Benefits include mentorship from faculty at University of Edinburgh, University College London, Peking University, and Tsinghua University, access to computational resources from Oak Ridge National Laboratory, Sandia National Laboratories, and partnerships with industry labs such as Google Brain and Amazon Web Services. Fellows receive travel support to present at venues like AAAS Annual Meeting, Royal Institution, and World Economic Forum and participate in workshops hosted by Simons Foundation, Gordon Research Conferences, and Banff International Research Station.

Notable Fellows and Impact

Alumni have pursued careers at institutions including Microsoft Research Redmond, Facebook AI Research New York, Apple Machine Learning Research, and Tesla Autopilot. Fellows have published influential work cited in Proceedings of the IEEE, IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics, and Journal of Machine Learning Research. Collaborative projects have influenced initiatives at European Organization for Nuclear Research, NASA Jet Propulsion Laboratory, SpaceX, and Blue Origin and informed policy dialogues at United Nations forums and briefings to European Commission units. Notable alumni include researchers who later joined faculties at University of Cambridge Department of Computer Science and Technology, Princeton Department of Computer Science, Harvard John A. Paulson School of Engineering and Applied Sciences, and Stanford Computer Science Department.

Governance and Funding

The fellowship is governed by a board with representatives from organizations such as Royal Society, National Academy of Sciences, Council on Competitiveness, and International Council for Science. Funding sources include endowments and grants from Gates Foundation, Wellcome Trust, Open Society Foundations, corporate donations from Google.org, Microsoft Philanthropies, and sponsored research agreements with Amazon Research, Intel Labs, and NVIDIA Research. Administrative partners include Trustees of Columbia University, University of Oxford Development Office, and Cambridge Enterprise. Financial oversight aligns with standards used by Chartered Institute of Fundraising and audit practices followed by Big Four accounting firms.

Category:Fellowships