The nature of the laboratory is fundamentally changing. Science is being democratized and is now being performed not only in standard academic laboratories, but on single rented benches in incubators, in community laboratories, and in garages.
Clearly, the way scientists have worked in the past is not the way they will work in the future. In the laboratory, everything from experiment setup to the cleaning and washing of materials is becoming automated. New methods of data management, communication and integration are also improving every step in the scientific process from experiment design to execution, to data analysis and collection, publishing and sharing. Instrumentation improvements are helping to expand research capabilities. This will impact not only the quality of life for researchers, but the reproducibility of research, scale of research performed, and cost/quality of research.
Mission Bay Conference Center at UCSF
This meeting brought together a diverse and interdisciplinary group of participants – from biologists, programmers, instrumentation manufacturers, the maker community, journals and funders – to examine innovations that are redefining the laboratory environment and workflow characteristics at every step of the scientific process, as well as the organizational strategies and information systems needed to capture the benefits of automation and democratization. The meeting produced important insights into the laboratory of the future, the specific new technologies that will revolutionize the way science is done, and the strategies that will help to propel innovation forward and make research more reproducible.
The meeting will include exhibition space for companies to showcase their products.
All conference registrants received a one-year complimentary individual or student membership (a $50-150 value) as part of GBSI’s new membership program. Membership benefits include: discounts on training, proficiency testing, and event registration, participation in the GBSI community, advance notice of GBSI offerings, insider news, and much more.
Email for more information.
Len Freedman, Global Biological Standards Institute (Confirmed)
• Creating the Smart Laboratory of the Future, Charles Fracchia, BioBright (10
• Bento Lab: A Portable Analysis Laboratory for Amateurs and Researchers,
Bethan Wolfenden, Bento Bioworks (10 minutes) (Confirmed)
• Democratizing Access to the World’s Scientific Expertise Through a
Marketplace For Outsourced Scientific Research, Rachel Tsui, Science
Exchange (10 minutes) (Confirmed)
• Automation in the Engineering of Novel Biological Systems, Doug Densmore,
Boston University (10 minutes) (Confirmed)
• Molecular Foundry: An Outsourced Nanoscience Research Facility, Branden
Brough, Lawrence Berkeley National Laboratory (10 minutes) (Confirmed)
• Tetrascience: Driving Digital Transformation through the Internet of Things (IoT) for Science, Sal Savo, COO and Co-Founder, Tetrascience (10 minutes) (Confirmed)
• Integrity BioSolutions: Creating High Value Reagents and Custom Instrumentation for the Laboratory, Jason Kahana, President (10 minutes) (Confirmed)
• National Center for Advancing Translational Sciences: Integrating Environmentally Friendly Tactics into a High-Throughput Screening Setting, Carleen Klumpp-Thomas (10 minutes) (Confirmed)
• University of Washington Biofabrication Center: Automating the laboratory with Aquarium Software, Mark Merrill on behalf of Eric Klavins, Professor of Electrical Engineering (10 minutes) (Confirmed)
• Virtually Designing, Executing And Analyzing Biological Workflows, Synthace, Sean Ward, Chief Technology Officer (10 minutes) (Confirmed)
• Building a Global Supply Chain of Reproducible Scientific Methods and Data, Riffyn, Timothy Gardner, Founder & CEO, Riffyn (10 minutes) (Confirmed)
• iBioFAB: Developing and Applying Synthetic Biology Tools to Address Society’s Most Daunting Challenges, University of Illinois at Urbana-Champaign, Huimin Zhao, Professor of Biomedical Engineering (10 minutes) (Confirmed)
• Using Autodesk Genetic Constructor to Design and Manufacture Living Things, Autodesk, Conny Scheitz, Principal Research Scientist(10 minutes) (Confirmed)
• Bioz Stars – Objective Data-Driven Reagent & Tool Ratings, Bioz, Inc., Daniel Levitt, CEO (10 minutes) (Confirmed)
• Robots for Biologists: Automation Has Never Been Easier, Open Trons, Kristin Ellis, Scientific Director (10 minutes) (Confirmed)
• Discover Biology on Demand, Transcriptic, Yvonne Linney, Chief Executive Officer (10 minutes) (Confirmed)
• Open Source Microfluidics for Synthetic Biology, MIT Media Lab, David Sun Kong, Director, Community Biotechnology Initiative (10 minutes) (Confirmed)
• BioIO: A Language Ecosystem for Reproducibility and Collaboration in the Life Sciences, Umech Technologies, Michael Mermelstein (10 minutes) (Confirmed)
• Accelerating Research with Affordable Lab Automation, HackScience, Ignacio Willats, Co-Founders (10 minutes) (Confirmed)
•Cytocentric: When Breath Becomes an Experimental Variable In Vitro, BioSpherix, Ltd., Alicia Henn, Chief Scientific Officer (10 minutes) (Confirmed)
• An Open Source Electronic Notebook for the Scientific Community SciNote, Klemen Zupancic, Chief Executive Officer (10 minutes) (Confirmed)
• Decoding Biology with Machine Learning, Zymergen, Deborah Pascoe, Director, Test Technology Development (10 minutes) (Confirmed)
• BenchSci: Leveraging Machine-Learning to Find the Right Antibody from Publications, Thomas Leung, PhD. Chief Scientist (10 minutes) (Confirmed)
• For Reproducibility, We Need the Methods Behind the Data, Protocols.io, Lenny Teytelman (10 minutes) (Confirmed)
• A Collaborative Platform to Read, Write and Publish, Authorea, Alberto Pepe, CEO (10 minutes) (Confirmed)
• Tackling Computational Reproducibility and Transparency in Scientific Research, Code Ocean, Simon Adar, Chief Executive Officer (10 minutes) (Confirmed)
• Store, Share, Discover Research, Dryad, Meredith Morovati, Executive Director (10 minutes) (Confirmed)
• Promoting Research Resource Identification, Discovery and Reuse, Research Identification Portal, Anita Bandrowski, Specialist, Center for Research in Biological Systems, UC San Diego (10 minutes) (Confirmed)
A key theme amongst the presentations in this meeting have to do with the democratization of biology, putting tools and data in the hands of more people, making it easier to share and how ultimately, this may lead to greater reproducibility of research. Do we think these tools will fundamentally change biology or will change who is doing biotech innovation? Or will these tools just benefit those who are currently working in biology? What questions or concerns do you have about this trend? What developments should be further encouraged and how? Are there issues that the scientific community should be concerned with?
• Will Canine, OpenTrons (Confirmed)
• Meagan Palmer, Stanford University (Confirmed)
• Dr. Sowmya Swaminathan, Nature (Confirmed)
• Lenny Teytelman, Protocols.io (Confirmed)
What are the commercial incentives and business models for scientific reproducibility and enabling automation? How can we get people to adopt these new tools and comply with data sharing? Who is using these tools now? What comes next? Are standards, open source sharing, API friendly instruments at odds with traditional commercialization and differentiation efforts in the industry? How has the traditional models of automation helped or hurt research reproducibility? Can the two be reconciled?
• Jeremy Freeman, Chan Zuckerberg Initiative (Confirmed)
• Timothy Gardner, Riffyn (Confirmed)
• Jennifer Hansen, Bill & Melinda Gates Foundation (Confirmed)
• Alex Morgan, Khosla Ventures (Confirmed)
• Robert Seamans, NYU Stern School of Business (Confirmed)
• Carly Strasser, Gordon and Betty Moore Foundation (Confirmed)