Neil S. Gaikwad
Neil S. Gaikwad


Neil Gaikwad

Doctoral Scholar
MIT Media Lab, Massachusetts Institute of Technology

नील गायकवाड
mail gaikwad@mit.edu
camera exploreThePlanetEarth


Research Interests Socially-compatible machine learning, computational social science, sustainable development policy, and base-of-the-pyramid innovation.

Research Vision Theory, design, and deployment of socially-compatible machine learning and public policy for sustainability. Over the centuries, complex systems—market institutions, food supply chains, and urban systems—have been instrumental for human civilization. However, environmental processes (such as droughts) and socioeconomic processes (such as historical inequities, natural resource extraction) impact the performance of complex systems, endangering sustainability. My research develops data-driven computations (human-compatible AI) to decode the underlying impact of these processes to redesign just complex systems and inform equitable public policy on a regional and global scale. My experiences in academia, the finance industry (Wall Street), and policymaking with communities inform the vision and practical relevance of my research. These experiences enable me to establish a research agenda at the boundaries of design, data-driven computations, and socioeconomic thinking to address overarching challenges in sustainable development.

Selected Awards & Honors

Research and Innovation
  • Facebook Research Fellowship, 2019
  • INK Fellow Emerging Innovator, 2019
  • Best Paper Honorable Mention, UIST 2017
Teaching
  • MIT Graduate Teaching Award, 2018
  • MIT Kaufman Teaching Certificate, 2017
Leadership
  • Karl Taylor Compton Prize, 2019, MIT's Highest Student Award
Professional Service
  • Distinguished PC, IJCAI 2018
  • CHI 2020 Special Recognition, Outstanding Reviews
  • CHI 2019 Special Recognition, Outstanding Reviews
Ecological Arts
  • The MIT Arts Scholars
  • National Geographic Photo of the Day

Research

Neil Gaikwad is a doctoral scholar at the Massachusetts Institute of Technology, specializing in socially-compatible machine learning and public policy for sustainability. He designs and develops data-driven human-AI collaboration systems for sustainable development with a focus on increasing equity in institutional policymaking, analyzing socio-economic processes and large-scale data emerging from environmental remote sensing satellites. He earned a master's degree from the School of Computer Science at Carnegie Mellon University. At MIT, he works with Professor Danielle Wood. Prior to MIT, he worked as a chief data scientist in financial markets on Wall Street, developing quantitative models and analytics systems for risk-and portfolio management.

Neil's current research focuses on addressing social inequity and inefficiencies of markets in food systems using computer vision, co-design, and evidence-based policymaking. He is developing a human-compatible machine learning system Global Food Pulse to estimate the adverse impact of environmental processes (such as climate extremes) and institutional structures at regional and global scales. Drawing upon this understanding, he has been designing market mechanisms and organizational models to support vulnerable communities, food supply chains, and policymakers to alleviate the consequence of climate risks and economic breakdowns. This research is supported by the MIT Quest for Intelligence, an institute-wide initiative on Artificial Intelligence.

Neil’s research has been published in artificial intelligence and human-computer interaction conferences (AAAI, ACM CSCW, ACM UIST, ACM CHI) and a scientific journal (PNAS), and featured in the New York Times, Bloomberg, WIRED, and The Wall Street Journal. He is one of the principal creators and founding members of Daemo, a self-governed crowdsourcing market (Gaikwad et al. 2015, 2016, 2017), and EteRNA, a collective intelligence system that harnesses human-machine collaboration for solving problems that neither humans nor machines can solve alone. He led Daemo's socio-technical architecture and developed Boomerang, an incentive-compatible reputation system. His foundational contributions draw on game theory (incentive mechanisms for pro-social behavior in gig economies), structured finance (tranche based guild organization), and human-centered design (shared mental model of task composition). His TEDx talk presents the vision for just market institutions in the era of AI.

Neil's research ideas and computational systems have been deployed in real-world settings. He has presented human-centered AI and sustainable development research at leading policy forums, including United Nations AI for Global Good Summit, and project Daemo at the European Dialogue on the Platform Economy. The International Labour Organization's (ILO) report on Digital Labour Platforms and the Future of Work highlights Daemo and Boomerang. Daemo was also deployed to create the SQuAD, Stanford's reading comprehension dataset (over 100,000+ question-answer pairs) for Natural Language Processing. EteRNA has reached over 100,000 citizen scientists and listed as one of the 25 great ideas from CMU's School of Computer Science.

One of the principal missions of Neil's life is to increase diversity and inclusion in STEM, policymaking, and planning. He is a founding member of the SIGKDD workshop on Humanitarian Mapping, and co-organizer of the Computational Sustainability Open Graduate Seminars. He was one of the core members of the Stanford Crowd Research Initiative and part of the MIT's Innovating for Billions in Emerging Worlds Leadership Council. His selected honors include the Facebook Research Ph.D. Fellowship Award, MIT Graduate Teaching Award (presented annually to one MIT professor or teaching assistant from each school, for excellence in teaching a graduate-level course), and the Karl Taylor Compton Prize (MIT's highest student award).

Selected News

Publications

CConference Paper JJournal Paper SPShort Paper DDemo TTutorial BCBook Chapter PProceedings
2020

[ SP.7 ]Beyond Boundaries: Towards Symbiotic Relationship Between Ecological Arts and Computational Thinking for Sustainability

bookmark Eco-Arts, Computations, Environmental Sustainability, Civic Participation
Gaikwad, S.
CSCW 2020: The ACM Conference on Computer-Supported Cooperative Work and Social Computing
picture_as_pdf paper link website bookmark Exhibited in the Ars Electronica 2020 Festival of Arts, Technology, and Society, as a part of the Garden CAMBRIDGE

[ P.1 ]Humanitarian Mapping: Harnessing Data and Human-Machine Intelligence for Actionable Policy Decisions

bookmark Machine Learning, Humanitarian Actions, Crises and Climate Change Induced Displacements, Policymaking and Planning
Gaikwad, S., Iyer, Shankar., Lin, Yu-Ru., Lunga, Dalton.
KDD 2020: ACM SIGKDD Conference on Knowledge Discovery and Data Mining. link website picture_as_pdf Edited Proceedings: Coming Soon

2019

[ C.5 ]VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

bookmark Graphical Perception, Large-scale Visual Analysis, Active Learning-and-Human Judgment, Open Data
Hu, Kevin., Gaikwad, S., Hulsebos, Madelon., Bakker, Michiel., Zgraggen, Emanuel., Hidalgo, Cesar., Kraska, Tim., Li, Guoliang., Satyanarayan, Arvind., Demiralp, Çağatay.
CHI 2019: The ACM CHI Conference on Human Factors in Computing Systems (Acceptance rate of 23.8%) picture_as_pdf paper code open source software code bookmarkgoogle scholar

[ SP.6 ]Gobo: A System for Exploring User Control of Invisible Algorithms in Social Media

bookmarkSocietal Computing Systems, Algorithmic Transparency and Accountability, Civic Design
Bhargava, Rahul*❊ ., Chung, Anna*., Gaikwad, S*❊., Hope, Alexis*., Jen, Dennis*., Rubinovitz, Jasmin*., Saldías-Fuentes, Belén*., Zuckerman, Ethan*❊.
Correspondence authors, *equal Contributions.
CSCW 2019: The ACM Conference on Computer-Supported Cooperative Work and Social Computing
picture_as_pdf paper code Gobo system bookmarkgoogle scholar

[ BC.1 ]Crowd Research: Open and Scalable University Laboratories

bookmarkOpen Innovation, The Future of Online Research at Scale, Collective Intelligence
Vaish, Rajan., Gaikwad, S., Kovacs, Gezza., Veit, Andreas., Krishna, Ranjay., Ibarra, Imanol., Simoiu, Camelia., Wilber, Michael.,
Belongie, Serge., Goel, Sharad., Davis, James., and Bernstein, Michael.
Design Thinking Research: Looking Further: Design Thinking Beyond Solution-Fixation
Springer Nature 2019
book book chapter bookmarkgoogle scholar

2018

[ C.4 ]A Voting-Based System for Ethical Decision Making

bookmarkAI Ethics and Fairness, Social Choice, Participatory Decision Making, Societal Computing Systems
Noothigattu, Ritesh., Gaikwad, S., Awad, Edmond., D'Souza, Sohan., Rahwan, Iyad., Ravikumar, Pradeep., Procaccia, Ariel D.
AAAI 2018: Association for the Advancement of Artificial Intelligence (Acceptance rate of 24.6%)
picture_as_pdf aaai paper book journal version in R&R state bookmarkgoogle scholar Press: "Social Media Has Failed Its Self-Driving Test"(Bloomberg) open_in_new"Researchers Go After the Biggest Problem with Self-driving Cars"(Axios) open_in_new

[ T.2 ]Seafloor to Satellites: Crowdcomputing and Data Across Scales

bookmarkMachine Learning and Environmental Sustainability
Gaikwad, S., Vilgalys, Max., Stroming, Jeremy., Woodward, Ben, Browder, Rebecca.
All Hands on Deck 2018: National Ocean Exploration Forum, NOAA Office of Ocean Exploration and Research and MIT
picture_as_pdf extended abstract link website

[ SP.5 ]Decoding the Evolution of UN’s Sustainable Development Goals using Bayesian Inference

bookmarkData Science, Sustainable Development, Policymaking and Planning
Gaikwad, S.
Santa Fe Institute, Complex Systems Summer School Proceedings 2018
picture_as_pdf extended abstract

2017

[ C.3 ]Crowd Research: Open and Scalable University Laboratories

bookmarkOpen Innovation, The Future of Online Research at Scale, Collective Intelligence
Vaish, Rajan., Gaikwad, S., Kovacs, Gezza., Veit, Andreas., Krishna, Ranjay., Ibarra, Imanol., Simoiu, Camelia., Wilber, Michael.,
Belongie, Serge., Goel, Sharad., Davis, James., and Bernstein, Michael.
UIST 2017: ACM Symposium on User Interface Software and Technology, (Acceptance rate of 22.5%)
picture_as_pdf paper link website bookmarkgoogle scholar emoji_events ACM UIST Best Paper Honorable Mention, top 2.5% of the technical paper submissions Press: "A Stanford-led Platform for Crowdsourced Research Gives Experience to Global Participants"(Stanford News) open_in_new

[ C.2 ]Crowd Guilds: Worker-led Reputation and Feedback on Crowdsourcing Platforms

bookmarkWork of the Future, Socio-economic Sustainability, Gig Economy
Gaikwad, S. with Crowd Research Collective Members.
CSCW 2017: The ACM Conference on Computer-Supported Cooperative Work and Social Computing (Acceptance rate of 25%) picture_as_pdf paper bookmarkgoogle scholar

[ T.1 ]Crowdcomputing and Citizen Science for Large-Scale Experiments

bookmarkComputational Social Science Experiments, Societal Computing Systems, Collective Intelligence,
Gaikwad, S., Dsouza, Sohan., Vuculescu, Oana., Mao, Andrew., and Rahwan, Iyad.
IC2S2 2017: International Conference on Computational Social Science

[ D.1 ]The Daemo Crowdsourcing Marketplace

bookmarkSocietal Computing Systems, Socio-economic Sustainability, Market Design, Work of the Future
Gaikwad, S. with Crowd Research Collective Members.
CSCW 2017: The ACM Conference on Computer-Supported Cooperative Work
picture_as_pdf paper code open source software code bookmarkgoogle scholar

[ SP.4 ]Prototype Tasks: Improving Crowdsourcing Results through Rapid, Iterative Task Design

bookmarkSocietal Computing Systems, Socio-economic Sustainability, Market Design, Work of the Future
Gaikwad, S. with Crowd Research Collective Members.
AAAI HCOMP 2017: AAAI Conference on Human Computation
picture_as_pdf paper code open source software code bookmarkgoogle scholar

[ SP.3 ]Designing a Constitution for a Self-Governing Crowdsourcing Marketplace

bookmarkWork of the Future, Governance Structure Online Communities
Gaikwad, S. with Crowd Research Collective Members.
Collective Intelligence 2017: ACM Collective Intelligence Conference
picture_as_pdf paper code open source software code bookmarkgoogle scholar

2016

[ C.1 ]Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms

bookmarkSocietal Computing Systems, Game Theory, Socio-economic Sustainability, Market Design, Work of the Future, Trust
Gaikwad, S. with Crowd Research Collective Members.
UIST 2016: The ACM Symposium on User Interface Software and Technology, (Acceptance rate of 20.6%)
In the readings of Human Computation classes at KAIST, Cornell University, University of Washington
picture_as_pdf paper code open source software code bookmarkgoogle scholar

[ SP.2 ]Crowd Research: Research At Scale

bookmarkOpen Innovation, The Future of Online Research at Scale, Collective Intelligence
Vaish, Rajan., Gaikwad, S., Ginzberg, Adam., Ibarra, Imanol., Kovacs, Geza., Krishna, Ranjay., Morina, Durim., Mullings, Catherine.,
Simoiu, Camelia., Veit, Andreas., Wilber, Michael., Zhou, Sharon., Belongie, Serge., Goel, Sharad., Davis, James., Bernstein, Michael.
Stanford HCI Design Open House 2016 picture_as_pdf poster

2015

[ SP.1 ]Daemo: A Self-Governed Crowdsourcing Marketplace

bookmarkSocietal Computing Systems, Socio-economic Sustainability, Market Design, Work of the Future
Gaikwad, S. with Crowd Research Collective Members.
UIST 2015: The ACM Symposium on User Interface Software and Technology
picture_as_pdf paper picture_as_pdf poster code open source software code bookmarkgoogle scholar Press: "The future of work the peoples uber"(Pacific Standard) open_in_new

2014

[ J.1 ]RNA Design Rules From a Massive Open Laboratory

bookmarkHuman-machine Collaboration at Scale, Citizen Science, Collective Intelligence, Open Innovation
Lee, Jeehyung., Kladwang, Wipapat., Lee, Minjae., Cantu, Daniel., Azizyan, Martin., Kim, Hanjoo., Limpaecher, Alex.,
Gaikwad, S., Yoon, Sungroh., Treuille, Adrien., Das, Rhiju., and EteRNA Participants
PNAS 2014: Proceedings of the National Academy of Sciences of the United States of America
picture_as_pdf paper code software system bookmarkgoogle scholar "Videogamers are recruited to fight Tuberculosis and other ills "(Wall Street Journal) open_in_new "RNA game lets players help find a biological prize"(New York Times) open_in_new "How turning science into a game rouses more public interest"(WIRED) open_in_new "Game lets citizen scientists participate in creating large-scale library of synthetic RNA designs"(Scientific American) open_in_new "Why video games are key to modern science "(CNN) open_in_new "Online game helps predict how RNA folds " (New Scientist) open_in_new


Grants & Funds Raised

The lead author on following grants:

2019

(10) MIT Dean's Grant, the Committee on Scholarly Interactions
(9) MIT Media Lab Travel Grant

2018

(8) MIT Quest for Intelligence Grant; Gaikwad (lead author of the grant proposal) and Danielle Wood
(7) MIT Dean's Grant for the Committee on Scholarly Interactions
(6) MIT Media Lab Travel Grant


2017

(5) MIT GSC Travel Grant
(4) MIT Media Lab Travel Grant
(3) MIT Grad Student Life Grant, the Office of Grad Education
(2) MIT Media Lab StudCom Grant 2017

2016

(1) Knights News Challenge Grant; Gaikwad. with Crowd Research Collective. [Selected in top 20 of 1,000+]

Invited Research Talks & Panels

Topics: Human-centered Machine Learning , Sustainable Development, Market Design

2019

Oak Ridge National Laboratory, Tennessee
Human-centered Machine Learning for Socioeconomic Development

United Nations AI for Good Summit, Geneva
Designing Human-centered AI for Socioeconomic Development

PopTech and RISD, Providence
The Future of Food Exploratory

Dell EMC, Massachusetts
Challenges and Opportunities in Designing Human-centered Artificial Intelligence

2018

Wadhwani Institute for AI, Mumbai
Artificial Intelligence and Society

Ethics and Governance of AI, Harvard Berkman Klein Center and Media Lab, Cambridge
Human-AI Collaboration for Sustainable Market Design

A European Dialog on the Platform Economy, European Trade Union Institute and Partners, Brussels
Daemo, A Self Goverining Crowdsourcing Market

MIT Science Communication IAP Workshop, Cambridge
Summarizing research for a TED-style talk

2017

AAAI Human Computation and Crowdsourcing (HCOMP), Québec City, 2017
Industry Panel on Crowdsourcing. Declined to increase the panel’s gender diversity.

TEDx, BeaconStreet, Boston
The Future of Markets in the Era of Artificial Intelligence Link

The HPI-Stanford summit, Potsdam, Germany
Design Thinking and Crowd Research

Emerging Worlds Initiative, Cambridge
Computing and Sustainable Development

Colloquium on the Human Brain, Providence College
Human Machine Symbiosis

International Conference on Computational Social Science, Germany
Crowdcomputing and Citizen Science for Large-Scale Experiments

2016

ACM UIST, Tokyo, Japan
Boomerang: an Incentive Compatible Reputation System

2014

Xerox Research, Webster, NY
The Science of Human Computation

AI/ML Research Demos

Demo to A. R. Rahman, Grammy and Academy Award Winning Musician
AI for Music and Immersive Experience

Demo to Sanjiv Mehta, Chairman Managing Director of Hindustan Unilever
Machine Learning and Sustainable Supply Chain

Demo to Shekhar Kapur, an international film director, actor, and producer
AI and Storytelling
Interesting papers with research acknowledgments

Woolley, Anita., Chabris, Christopher., Pentland, Alex., Hashmi, Nada., and Malone, Thomas., "Evidence For a Collective Intelligence Factor in the Performance of Human Groups"
Science 2010

Teaching, Student Supervision, and Mentoring

Teaching and mentoring have been an indispensable part of my quest to help grow and encourage a generation of creative scholars, scientists, policymakers, and inventors who will collectively engage in solving pressing societal challenges of our time. My mentees' accomplishments give me an immense sense of gratification that cannot be measured. You can listen to my interview at MIT's WMBR 88.1 FM Post-It Wall.

Courses taught/developed as a TA or an instructor
Spring 2020 — Course Project Mentor
MIT 15.376/MAS.664: AI for Impact: Towards Solving Societal-Scale Problems Fall 2017 — Teaching Assistant, Lab Instructor and Curriculum Developer
MIT MAS.S61: Computational/Quantitative Social Science Research Methods 2017-2018 — Instructor and Innovation Mentor
MIT Emerging Worlds: Seminar Course Introduction to Machine Learning for Development
MIT Emerging Worlds: Design Thinking and Innovation Workshop for Women Entrepreneurs
MIT Emerging Worlds: Design Thinking and Innovation Workshop for Executive Program in General Management Spring 2010 — Course Grader
Carnegie Mellon 15 − 859 (B): Machine Learning Theory Spring 2009 — Teaching Assistant
Carnegie Mellon 45 − 881: Entrepreneurial Thought & Action

Tutorials and Classroom Guest Lectures IC2S2 2017
Crowdcomputing and Citizen Science for Large-Scale Experiments
All Hands on Deck 2018
Seafloor to Satellites: Crowdcomputing and Data Across Scales 100 Robots for 100 Kids, Volunteer Robotics Teacher for at-risk Youth
Carnegie Mellon Robotics Institute Spring 2019 Guest Lecture: Human-centered Machine Learning for Socioeconomic Development
MIT 15.226 Modern Business in India

Student Supervision & Mentoring

MIT
Undergraduate Research Opportunity Program (UROP) and SM Program
(1) Yodahe Alemu (MIT EECS), Spring/IAP 2020
(2) Xuenan Ni (MIT SM, Department of Urban Studies and Planning), Fall 2018 and Spring 2019
(3) Ankur Podder (MIT SM, School of Architecture and Planning), Spring 2018
(4) Kealani Finegan (MAS, Wellesley College), Fall 2018
(5) Sourav Das (MIT EECS), Spring 2018
(6) Alice Jin (MIT EECS), Co-supervised. Fall 2017
Some of the students with positions they acquired after the projects
Directly supervised and mentored during the project: Daemo, a Self-governed Crowdsourcing Marketplace
(7) Aditi Mithal (Awarded Google Venkat Panchapakesan Memorial Scholarship, CS grad program at UCLA)
(8) Aditi Nath (CS grad program at Arizona State University)
(9) Ankita Sastry (Info Security grad program Carnegie Mellon)
(10) Karan Rajpal (CS grad program at Cornell University)
(11) Nalin Chhibber (Mathematics grad program at the University of Waterloo)
(12) Prastut Kumar (The Google Summer of Code Berkman Klein Center Harvard University)
(13) Prithvi Raj (Siemens Research and Development, Bangalore)
(14) Rahul Sheth (Undergraduate program at the University of California, Los Angeles)
(15) Radhika Bhanu K (CS grad program at Cornell University)
(16) Vibhor Sehgal (iSchool Grad program at the University of California, Berkeley)
(17) William Dai (Undergraduate program at the University of California, Berkeley)
List of students' research papers mentored as a teaching assistant and/or a colleague
Buolamwini, Joy., Timnit, Gebru., "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", ACM FAT* Conference on Fairness, Accountability, and Transparency (FAT), 2018 open_in_new
Epstein, Ziv., Pennycook, Gordon., Rand, David., "Will the crowd game the algorithm? Using layperson judgments to combat misinformation on social media by downranking distrusted sources", CHI 2019 Conference on Human Factors in Computing Systems open_in_new Ananthabhotla, Ishwarya., Rieger, Alexandra., Greenberg, Dan., Picard Rosalind., "MIT Community Challenge: Designing a Platform to Promote Kindness and Prosocial Behavior", CHI 2017 Conference on Human Factors in Computing Systems open_in_new


Leadership

(1) Program Committee Computational Sustainability Open Graduate Seminar open_in_new
(2) Program Committee & Co-Organizer The Harvard Center for Research on Computation and Society, Workshop on AI for Social Impact open_in_new
(3) Co-Chair 5th MIT India Conference open_in_new
(4) Co-chair MIT SP Committee on Scholarly Interactions,a graduate student organization dedicated to stimulate and foster intellectual exchanges among the MIT community
(5) Leadership Council MIT Innovating for Billions Initiative
(6) Media Lab Design Rep The MIT GradRat Ring
(7) Co-organizer, EteRNA sessions for Leap@CMU Summer enrichment program for high school students
(8)MIT Media Lab Diversity Committee

Initiatives Founded

At MIT, Neil has spearheaded new initiatives to established research mentoring trainings for MIT graduate, undergraduate, postdoc communities.

(1) Lead and co-founder, MIT Graduate Student Symposium Series
(2) Founder Research Mentoring Initiative for MIT graduate, undergraduate, postdocs community
(3) Co-founder Science, Technology, and Social Justice Speaker Series, MIT SP Committee on Scholarly Interactions

Ecological Arts

Neil is an environmental photographer and an MIT arts scholar. His ecological artwork inspires his scientific endeavors in AI and sustainable development. His exhibition Beyond Boundaries captures the complexities of our planet, including 3,000 years old glacier landscapes, the Western Ghats (Sahyadri) of India, cultures, and pressing societal challenges such as climate change. Neil's photography work has been published in National Geographic. For more information, please visit `Explore the Planet Earth’ on Facebook and Instagram.

The Game of Cricket

Neil’s research draws inspiration from sports and team dynamics. He was a former cricket player— opening batter and leg spinner. In the US leagues, he kept wickets (similar to being a catcher in Baseball) for Jermaine Lawson, former international cricketer, and Harshal Patel, Royal Challengers Bangalore's fast-bowler in the IPL.

Some of the archived man of the match scorecards:
sports_cricket [146 not out]
sports_cricket [71 not out]

Sports Quote: "and so you touch this limit, something happens and you suddenly can go a little bit further. With your mind power, your determination, your instinct, and the experience as well, you can fly very high" -- Ayrton Senna.

Where The Mind is Without Fear

Where the mind is without fear and the head is held high

Where knowledge is free

Where the world has not been broken up into fragments

By narrow domestic walls

Where words come out from the depth of truth

Where tireless striving stretches its arms towards perfection

Where the clear stream of reason has not lost its way

Into the dreary desert sand of dead habit

Where the mind is led forward by thee

Into ever-widening thought and action

Into that heaven of freedom, my Father, let my country awake.

Nobel Laureate Rabindranath Tagore

The Impossible Dream (The Quest)

To dream the impossible dream
To fight the unbeatable foe
To bear with unbearable sorrow
To run where the brave dare not go

To right the unrightable wrong | To love pure and chaste from afar
To try when your arms are too weary | To reach the unreachable star

This is my quest | To follow that star
No matter how hopeless | No matter how far

To fight for the right | Without question or pause
To be willing to march into Hell | For a heavenly cause

And I know if I'll only be true | To this glorious quest
That my heart will lie peaceful and calm | When I'm laid to my rest

And the world will be better for this
That one man, scorned and covered with scars
Still strove with his last ounce of courage
To reach the unreachable star!

Joe Darion (From The Man of La Mancha)