
Lodewijk Gelauff
Postdoctoral Scholar, Communication
Ph.D. Student in Management Science and Engineering, admitted Autumn 2017
Bio
Lodewijk Gelauff is a Ph.D. candidate in the department of Management Science and Engineering at Stanford University. His work focuses on online technologies for societal decision making. He manages the PB Stanford platform for Participatory Budgeting and led the development of the Stanford Platform for Online Deliberation, an online video chat platform that can scale small-group conversations with a structured agenda.
Lodewijk has been an active contributor and volunteer in the Wikipedia/Wikimedia community in various roles including as a founder and core organizer of the photography competition Wiki Loves Monuments, and was named the 2021 Wikimedia Laureate.
Honors & Awards
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Wikimedia Laureate / 20th Year Honouree, Wikimedia Foundation (2021)
Projects
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PB Stanford, Stanford University
PB Stanford is a platform that supports local governments and NGO's to set up a budgeting vote in the Participatory Budgeting framework.
Location
Stanford
Collaborators
- Ashish Goel, Professor of Management Science and Engineering and, by courtesy, of Computer Science, Stanford University
- Sukolsak Sakshuwong, School of Engineering
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Stanford Platform for Online Deliberation, Stanford University
An online video platform that helps scale and moderate online deliberations over video chat.
Location
Stanford
Collaborators
- James Fishkin, Stanford University
- Ashish Goel, Professor of Management Science and Engineering and, by courtesy, of Computer Science, Stanford University
- Kamesh Munagala, Professor of Computer Science, Duke University
- Sukolsak Sakshuwong, School of Engineering
- Alice Siu, Communication
All Publications
- Achieving Parity with Human Moderators: A Self-Moderating Platform for Online Deliberation The Routledge handbook of collective intelligence for democracy and governance Routledge. 2023
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Opinion Change or Differential Turnout: Austin’s Budget Feedback Exercise and the Police Department
EAAMO '22: Equity and Access in Algorithms, Mechanisms, and Optimization
2022
View details for DOI 10.1145/3551624.3555295
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Wiki Loves Monuments: crowdsourcing the collective image of the worldwide built heritage
Journal on Computing and Cultural Heritage
2022
View details for DOI 10.1145/3569092
- Robust Allocations with Diversity Constraints Neural Information Processing Systems (NeurIPS) 2021
- Who Is in Your Top Three? Optimizing Learning in Elections with Many Candidates AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 2019: 22–31
- Schrijven voor Wikipedia van Duuren Media. 2018
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Comparing voting methods for budget decisions on the ASSU ballot
Stanford University.
Stanford, CA.
2018
Abstract
During the 2018 Associated Students of Stanford University (ASSU; Stanford’s student body) election and annual grants process, the Stanford Crowdsourced Democracy Team (SCDT) ran a research ballot and survey to develop insights into voting behavior on the budget component of the ballot (annual grants) where multiple grant requests (hereafter: ‘projects’) are considered. We provided voters with additional voting methods for the budget component, collected further insights through a survey and demonstrated the viability of the proposed workflow.
- International comparison of technology transfer data University Technology Transfer Routledge. 2016: 428–435
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A molecular cage of nickel(II) and copper(I): a [{Ni(L)(2)}(2)(CuI)(6)] cluster resembling the active site of nickel-containing enzymes
CHEMICAL COMMUNICATIONS
2009: 2700–2702
Abstract
A new mononuclear low-spin nickel(II) dithiolato complex, [NiL(2)] (1), reacts with copper iodide to form the hetero-octanuclear cluster [{Ni(L)(2)}(2)(CuI)(6)] (2) with four trigonal-planar CuI(2)S and two tetrahedral CuI(2)S(2) sites; anagostic interactions between the nickel(II) ions and aromatic protons have been demonstrated by variable-temperature NMR studies to pertain in solution.
View details for DOI 10.1039/b900423h
View details for Web of Science ID 000265890600024
View details for PubMedID 19532926