Meet new collaborators and learn Complexity Science by doing.
Help to address the unprecedented, interconnected problems created and exposed by this pandemic. Complexity Science is an interdisciplinary and inclusive framework for studying, designing, and controlling Complex systems. Over the course of one weekend, you will learn about Complexity Science from a variety of perspectives while developing solutions in a team setting to address:
Here’s what to expect during this weekend experience:
In-line with social-distancing policy during the COVID-19 pandemic, this weekend event will be entirely virtual
Friday, May 22 - Sunday, May 24
Please plan to participate in the full weekend experience.
Gain exposure to an interdisciplinary perspective on Complexity Science and its application
Work on important problems in small groups, with guidance from experienced mentors and domain experts
Meet potential mentors, coauthors, and cofounders at this unique event, where everyone is open to learning by doing
Carlos leads the Self-organizing Systems Lab. He has been an active researcher since 1997 and has 150 scientific publications in books, journals, and conference proceedings, which have been cited more than 4,500 times. He has given more than 250 presentations at conferences and research group seminars. He has a wide variety of academic interests, including complex systems, self-organization, urbanism, artificial life, evolution, cognition, artificial societies, and philosophy. Carlos is also Editor-in-Chief of Complexity Digest, Associate Editor for the journals Complexity and Frontiers in Robotics and AI, and member of the Board of Advisors for Scientific American.
Check out Complexity Explained by Prof. Gershenson and collaborators.
"Complexity" refers to a large set of interrelated phenomena that have been observed across many academic disciplines, such as physics, biology, sociology, economics, and chemistry.
Aristotle described complex system behavior as when “the whole is more than the sum of the parts.” Such systems contain patterns of nonlinear relationships between their component parts under certain external conditions, causing an unpredictable new phase of system behavior as a whole. The main goal of Complex Systems Theory is to understand the relationship between these patterns of interaction and the properties of the system at higher scales.
This virtual weekend hackathon is for you if you are:
Can you commit to participating all weekend? Teams will be working over the weekend to accomplish a goal together, so out of fairness, we need to be sure everyone who registers can make this commitment.
All backgrounds welcome - your perspective is needed! No direct experience in Complexity Science required.
Attendees will be working in teams over the weekend to accomplish a goal together. We need to make sure everyone who registers can make these time commitments.
5:00 pm - 9:00 pm PST
Get to know the other participants and facilitators, learn about Complexity Science, and co-create Shared Truth with others
9:00 am - 5:00 pm PST
Join a team, choose a Complex problem, and get to work
9:00 am - 4:00 pm PST
Share your team's hard work, make an impact, and stay connected
Solve Problems Related to COVID-19 and Beyond
Registration is Now Closed.
Facilitators will move between teams during the conference, supplying Complexity Science references, impactful connections, problem-solving frameworks, tooling, and relevant data sets. Their mission is to guide the "how" to enable each team to reach their highest potential and accomplish their initial goals, whether that be a research proposal, a business plan, or another outcome.
Python • Systems Engineering • Economics • Governance • Blockchain • Data Science
Zargham is the founder and CEO of BlockScience, an engineering, research, and analytics firm focused on design and analysis of complex networks. Dr. Zargham holds a PhD in systems engineering from the University of Pennsylvania, where he studied optimization and control of decentralized networks. He is currently affiliated with the WU Vienna's Interdisciplinary Research Institute for Cryptoeconomics.
Physics • Information Theory • Discrete Stochastic Processes • Quantum Information
Ariadna is pursuing a PhD in physics. Her research is focused on advancing the understanding of quantum stochastic processes by adapting tools from dynamical systems and information theory to characterize them. She is generally interested in applying these and other quantitative tools to systems with many interacting agents.
Python • R • Computational/Theoretical Chemistry • Control Theory • Information Theory • Deep Learning
Jared is a “full-stack data scientist” interested in control theory and optimization, information theory, and intelligent (AI) systems of all sorts. His background is in computational and theoretical biophysics. He is currently working with the wonderful team at Atomwise, where he works on deep learning model development. This work aims to predict biological activity of a drug molecule from its X-ray crystal structure.
Research • Complex Systems Thinking • Design-led Innovation • Regenerative Leadership • Futurism
Sudebi is a meta-facilitator, futurist, educator and a designer of learning, narratives and regenerative leadership. She designs experiences, engagement and environment that allow people to design their own solutions and narratives using different modes and media. A Creative Facilitator of SEAΔ, a trans-national cross-cultural leadership program, Sudebi has co-founded a design collective, Depicentre, and started a unique pedagogy, art and design-led trans-local initiative, “The Archival City- a site of learning”.
Python • Education • Technology • Data Analysis • Business Insights • Modeling
In the past six years at EducationSuperHighway, Justine improved data transparency at the FCC by using school broadband data to create new, insightful metrics that had been otherwise impossible to calculate. As a data manager, she blends the stories told by the data with the organization’s expertise to create insights that power change. At DataKind SF, Justine manages a team of 5 data volunteers.
Complex Systems Modeling • Population Genomics • Bioinformatics
Diamantis Sellis is complex systems modeler at CosmoTech. He has more than 10 years of research experience in bioinformatics, genome complexity and population genetics. He has studied biology and holds an MS in Bioinformatics from Athens University, Greece, and a PhD in evolutionary biology from Stanford University, US.
Global Education Policy • Learning Innovations
Rose works in the international development space, particularly in education and learning across socio-cultural and political contexts. She is currently helping to develop initiatives across 15 countries in Asia.
Neuroscience • Microscopy • Education • Collaborative Drawing
Alexandra has a background in translational neuroscience studying brain injury in early development. She is now pursuing a PhD examining how immune molecules regulate the proper establishment of connections in the brain. Her research is inherently interdisciplinary, and she hopes to bridge even more fields through Free Energy thinking and collaborative drawing.
R • Biostatistics • Disease Modeling • Biomedical Imaging • Computational Fluid Dynamics
Dr. Menon's research is focused on artificial intelligence and data science applied to modeling imaging and time-series data in a variety of areas. He runs the MeDCaVE Lab, which is focused on robust algorithmic analysis of biomedical imaging data augmented with quantitative, physics‐based modeling of cardiovascular mechanics & hemodynamics. He has authored over 75 peer-reviewed publications and abstracts, and has served as a research adviser to dozens of undergraduate and graduate student researchers.
Economics • Statistics • Networks • Data Science
Glenn is an assistant professor of Economics (tenured) at ECARES, ULB. His research agenda focuses on social and economic networks, firm-to-firm relationships, and pricing mechanisms. He is also the founder of Magma, a firm providing data science solutions and strategic consulting to various industries.
Agent-based Modeling • Epidemiological Modeling • Simulation
Marek Laskowski earned his Ph.D. in Computer Engineering at the University of Manitoba in 2011 where he developed novel multi-agent simulation frameworks for modeling complex healthcare systems. His work in this field has been cited by the Centers for Disease Control (CDC) in Atlanta, Georgia. Since then, Marek co-founded the Blockchain Lab at the Schulich School of Business (at York University).
Python • Multi-scale Modeling • Research and Publishing Process • Researcher Mental Health
Jason’s background is in multi-scale modeling, in particular the combination of quantum-scale Density Functional Theory with Molecular Dynamics simulations. He seeks to understand general principles behind emergent behavior in complex systems, and has recently focused his attention on understanding the immediate impact of quantum computing systems.
Python • PCR • Neuroscience • Bioinformatics • Optimization • Data Science
Bleu works with a talented team at SavantX that implements augmented intelligence and quantum computing to solve energy reduction problems at scale. Their current focus is global shipping and the industrial supply chain. Her PhD research leveraged RNA sequencing and bioinformatics to explore biological identity, focusing on neural cell types.
Entrepreneurship • Creativity & Innovation • Mental Health • Diversity • Education
Monica Kang, Founder and CEO of InnovatorsBox®, is an educator at heart, transforming workplaces and communities with the power of creativity. Using innovative services and products, she works with industries worldwide including Fortune 500 companies, higher education, government, and nonprofits. Monica is the author of 'ReThink Creativity', has organized for Startup Weekend over the past 5 years, and previously worked in nuclear nonproliferation.
Human Evolution • Human-Environment Interaction • Technology Change • Cooperation
Dr. Jenn Huff is an archaeologist with an interest in deep time questions about human evolution, human migrations into new landscapes, exchange networks, technology change, and human-environment interactions. She is currently working on a book that looks at human evolution and recent cultural perspectives to explore how humans cooperate.
Psychology • Theories of Change • Sustainable Development
Stéphanie approaches the field of complexity from a social science angle, through her background in systems change, sustainable development, and human process design. With a MSc. in Strategic Leadership towards Sustainability, she works as visual facilitator supporting collective thought processes at conferences and meetings by translating them into sweeping illustrated ‘shared mental landscapes’.
Python • Machine Learning • Network Analysis • Natural Language Processing
Will Hamilton is an Assistant Professor at McGill University and a Canada CIFAR AI Chair. His research focuses on the development of machine learning models for network-structured data. His work has been featured in numerous media outlets, including Wired, The New York Times, and The BBC.
Decision Science • Incident Management • Data Science • HPC
Sean is the CEO of Disaster Tech, a public benefit company applying data science for decision making before, during, and after disasters. Sean has served as Director for Incident Management Integration Policy on the White House National Security Council and is an U.S. Navy veteran.
Open-source Intelligence • Systems Warfare • Distributed Teams
R.J. spends his time infusing complexity science into military and intelligence research to generate best practice for remote teams, civilian or otherwise. He is a serial contributor within the Defense Community, working with complexity-oriented organizations on DARPA grants, research, and inter-agency collaborations. He currently represents Remotor and COGSEC in the information warfare subdivision of a working group on expeditionary warfare in addition to sitting on several other committees and working groups in the IEEE, Department of Defense, and Private Sector.
Design-led Innovation • Transformative and Emergent Leadership • Executive Coaching • Entrepreneurship
Probal is the co-founder and CEO of the design-led collective, Depicentre Consulting. He works on the interfaces of business, learning, design, analytics, innovation and storytelling. With leadership experience across seven countries strengthening his ability to manage cross-cultural & cross-functional virtual teams in complex matrix organisations, he has a passion for driving content & culture driven organisations making economic, social, ecological and educational impact.
R • Computational Biology • Data Analysis • Genetics
Chenling has a background in evolutionary genetics and is now pursuing a PhD in applying both simulation and machine learning techniques to single-cell RNA sequencing data. Her current project is focused on the immunological changes in Multiple Sclerosis patients. Through her wandering across different fields of biology, she finds Bayesian statistical thinking and a free imagination to be the common language of discoveries in complex biological systems.
What will I get out of participating?
Network with the Complexity Science community and come away with a healthy exposure to the depth and breadth of the Complexity field from a variety of perspectives. Meet new collaborators, co-authors, mentors, and friends while learning through a hands-on team hackathon experience. Work toward solutions to the complex problems introduced by the COVID-19 pandemic.
Who is this conference for?
This conference is intended for those who are interested in Complexity Science and are eager to have an impact during the COVID-19 pandemic.
What are the prerequisites for attending?
A healthy curiosity and willingness to work outside of your usual expertise and comfort, and a willingness to share your expertise with others. All sections will be held in English.
Should I do anything to prepare for the conference?
Don't worry about being unprepared, as no one is an expert in all the various fields intersecting with Complexity Science. If you want to consume anything beforehand, perhaps the "Intro to Complexity" course materials from SFI's Complexity Explorer would be best. We'll have facilitators on hand to help with whatever blocks your team as you work toward a solution to your chosen problem.
Should I come with a problem in mind that I'd like to work on already?
Feel free to come prepared with a COVID-19 problem you’d like to gather a team around to solve, or let the creativity flow as you interact with the diverse set of Complexity Thinkers during the event. The choice is up to you.
Who will own whatever is created at the conference?
Attendees own their work. Solution proposals generated during the event will have explicit co-ownership defined by the teams, and are private by default. Attendees will be given the opportunity to opt-in to having their proposals summarized into a one-pager emailed to all attendees after the event and posted on the Complexity Weekend website. Teams are encouraged, but not required, to present their results at the end of the hackathon. Any degree of open-sourcing is celebrated, but not required.
How can I become a facilitator?
We are currently seeking facilitators for Complexity Weekend 2021. Please contact [email protected] if you are interested.
How can I sponsor annual Complexity Weekend events?
We welcome sponsors for our annual conference. Please contact [email protected] for more information.
Who are the conference organizers?
Principal Data Scientist at CloudKnox Security
Cofounder at PhD Mentors
John Paul Gonzales
Complexity Educator & Community Organizer
Co-Chair at Harvard Alumni for Education
Learning Development Manager at The Asia Foundation
Jason Larkin, PhD
Research Scientist at Emerging Technology Center, CMU
Cofounder at PhD Mentors
Jared Thompson, PhD
Senior Machine Learning Engineer at Atomwise
Daniel Ari Friedman, PhD
Postdoctoral Researcher at UC Davis
Previously organized the Stanford Complexity Group
Steven Davis, MBA
Founder at Wicked Innovation Lab
Steering Committee Member at Bay Area Agile Leadership Network
Cofounder at PhD Mentors
Michael Zargham, PhD
Founder at BlockScience
Visiting Scientist at Vienna University of Economics
Founder and Experience Designer, Creative Compassion Initiative
Experience Designer and Creative Lead, Asian Art Museum
Virtual COVID-19 Hackathon - May 22-24, 2020
Registration is Now Closed.