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Vera-Choqqueccota S, Belmekki BEY, Alouini MS, Teodorescu M, Haussler D, Mostajo-Radji MA. Reducing education inequalities through cloud-enabled live-cell biotechnology. Trends Biotechnol 2024:S0167-7799(24)00209-9. [PMID: 39209603 DOI: 10.1016/j.tibtech.2024.07.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 07/20/2024] [Accepted: 07/29/2024] [Indexed: 09/04/2024]
Abstract
Biotechnology holds the potential to drive innovations across various fields from agriculture to medicine. However, despite numerous interventions, biotechnology education remains highly unequal worldwide. Historically, the high costs and potential exposure to hazardous materials have hindered biotechnology education. Integration of cloud technologies into classrooms has emerged as an alternative solution that is already enabling biotechnology experiments to reach thousands of students globally. We describe several innovations that collectively facilitate real-time experimentation in biotechnology education in remote locations. These advances enable remote access to scientific data and live experiments, promote collaborative research, and ensure educational inclusivity. We propose cloud-enabled live-cell biotechnology as a mechanism for reducing inequalities in biotechnology education and promoting sustainable development.
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Affiliation(s)
- Samira Vera-Choqqueccota
- Live Cell Biotechnology Discovery Laboratory, University of California Santa Cruz, Santa Cruz, CA 95060, USA; Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95060, USA; Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95060, USA
| | - Baha Eddine Youcef Belmekki
- Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia
| | - Mohamed-Slim Alouini
- Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia
| | - Mircea Teodorescu
- Live Cell Biotechnology Discovery Laboratory, University of California Santa Cruz, Santa Cruz, CA 95060, USA; Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95060, USA; Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95060, USA; Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA 95060, USA
| | - David Haussler
- Live Cell Biotechnology Discovery Laboratory, University of California Santa Cruz, Santa Cruz, CA 95060, USA; Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95060, USA; Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95060, USA
| | - Mohammed A Mostajo-Radji
- Live Cell Biotechnology Discovery Laboratory, University of California Santa Cruz, Santa Cruz, CA 95060, USA; Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95060, USA.
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Parks DF, Voitiuk K, Geng J, Elliott MAT, Keefe MG, Jung EA, Robbins A, Baudin PV, Ly VT, Hawthorne N, Yong D, Sanso SE, Rezaee N, Sevetson JL, Seiler ST, Currie R, Pollen AA, Hengen KB, Nowakowski TJ, Mostajo-Radji MA, Salama SR, Teodorescu M, Haussler D. IoT cloud laboratory: Internet of Things architecture for cellular biology. INTERNET OF THINGS (AMSTERDAM, NETHERLANDS) 2022; 20:100618. [PMID: 37383277 PMCID: PMC10305744 DOI: 10.1016/j.iot.2022.100618] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/30/2023]
Abstract
The Internet of Things (IoT) provides a simple framework to control online devices easily. IoT is now a commonplace tool used by technology companies but is rarely used in biology experiments. IoT can benefit cloud biology research through alarm notifications, automation, and the real-time monitoring of experiments. We developed an IoT architecture to control biological devices and implemented it in lab experiments. Lab devices for electrophysiology, microscopy, and microfluidics were created from the ground up to be part of a unified IoT architecture. The system allows each device to be monitored and controlled from an online web tool. We present our IoT architecture so other labs can replicate it for their own experiments.
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Affiliation(s)
- David F Parks
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Kateryna Voitiuk
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Jinghui Geng
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Matthew A T Elliott
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Matthew G Keefe
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA 94143, USA
| | - Erik A Jung
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Ash Robbins
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Pierre V Baudin
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Victoria T Ly
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Nico Hawthorne
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Dylan Yong
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Sebastian E Sanso
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA
| | - Nick Rezaee
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA
| | - Jess L Sevetson
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Spencer T Seiler
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Rob Currie
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA
| | - Alex A Pollen
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA 94143, USA
- Department of Neurology, University of California San Francisco, San Francisco, CA 94143, USA
| | - Keith B Hengen
- Department of Biology, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Tomasz J Nowakowski
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA 94143, USA
| | - Mohammed A Mostajo-Radji
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Sofie R Salama
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Mircea Teodorescu
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA
| | - David Haussler
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA
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Lee SA, Riedel-Kruse IH. Micro-HBI: Human-Biology Interaction With Living Cells, Viruses, and Molecules. FRONTIERS IN COMPUTER SCIENCE 2022. [DOI: 10.3389/fcomp.2022.849887] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Human-Biology Interaction (HBI) is a field that aims to provide first-hand experience with living matter and the modern life-sciences to the lay public. Advances in optical, bioengineering, and digital technologies as well as interaction design now also enable real and direct experiences at the microscale, such as with living cells and molecules, motivating the sub-field of “micro-HBI.” This is distinct from simulating any biological processes. There is a significant need for HBI as new educational modalities are required to enable all strata of society to become informed about new technologies and biology in general, as we face challenges like global pandemics, environmental loss, and species extinctions. Here we review this field in order to provide a jump-off point for future work and to bring stakeholder from different disciplines together. By now, the field has explored and demonstrated many such interactive systems, the use of different microorganisms, new interaction design principles, and versatile applications, such as museum exhibits, biotic games, educational cloud labs, citizen science platforms, and hands-on do-it-yourself (DIY) Bio maker activities. We close with key open questions for the field to move forward.
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Bhimdiwala A, Neri RC, Gomez LM. Advancing the Design and Implementation of Artificial Intelligence in Education through Continuous Improvement. INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION 2021. [DOI: 10.1007/s40593-021-00278-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Graesser AC, Sabatini JP, Li H. Educational Psychology Is Evolving to Accommodate Technology, Multiple Disciplines, and Twenty-First-Century Skills. Annu Rev Psychol 2021; 73:547-574. [PMID: 34587781 DOI: 10.1146/annurev-psych-020821-113042] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
This article covers recent research activities in educational psychology that have an interdisciplinary emphasis and that accommodate twenty-first-century skills in addition to the traditional foundations of literacy, numeracy, science, reasoning (problem-solving), and academic subject matter. We emphasize digital technologies because they are capable of tracking learning data in rich detail and reliably delivering interventions that are tailored to individual learners in particular sociocultural contexts. This is a departure from inflexible pedagogical approaches that previously have been routinely adopted in most classrooms and other contexts of instruction with no precise record of learning and instructional activities. A good design of educational technology embraces the principles of learning science, identifies the basic types of learning that are needed, implements relevant technological affordances, and accommodates feedback from different stakeholders. This article covers research in literacy, collaborative problem-solving, motivation, emotion, and science, technology, engineering, and mathematics (STEM) areas. Expected final online publication date for the Annual Review of Psychology, Volume 73 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Arthur C Graesser
- Department of Psychology and Institute for Intelligent Systems, University of Memphis, Memphis, Tennessee 38152, USA; ,
| | - John P Sabatini
- Department of Psychology and Institute for Intelligent Systems, University of Memphis, Memphis, Tennessee 38152, USA; ,
| | - Haiying Li
- Department of Enrollment Research and Analytics, Iowa State University, Ames, Iowa 50011, USA;
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Das R, Keep B, Washington P, Riedel-Kruse IH. Scientific Discovery Games for Biomedical Research. Annu Rev Biomed Data Sci 2019; 2:253-279. [PMID: 34308269 DOI: 10.1146/annurev-biodatasci-072018-021139] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Over the past decade, scientific discovery games (SDGs) have emerged as a viable approach for biomedical research, engaging hundreds of thousands of volunteer players and resulting in numerous scientific publications. After describing the origins of this novel research approach, we review the scientific output of SDGs across molecular modeling, sequence alignment, neuroscience, pathology, cellular biology, genomics, and human cognition. We find compelling results and technical innovations arising in problem-oriented games such as Foldit and Eterna and in data-oriented games such as EyeWire and Project Discovery. We discuss emergent properties of player communities shared across different projects, including the diversity of communities and the extraordinary contributions of some volunteers, such as paper writing. Finally, we highlight connections to artificial intelligence, biological cloud laboratories, new game genres, science education, and open science that may drive the next generation of SDGs.
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Affiliation(s)
- Rhiju Das
- Department of Biochemistry and Department of Physics, Stanford University, Stanford, California 94305, USA
| | - Benjamin Keep
- Department of Learning Sciences, Stanford University, Stanford, California 94305, USA
| | - Peter Washington
- Department of Bioengineering, Stanford University, Stanford, California 94305, USA
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Rackus DG, Riedel-Kruse IH, Pamme N. "Learning on a chip:" Microfluidics for formal and informal science education. BIOMICROFLUIDICS 2019; 13:041501. [PMID: 31431815 PMCID: PMC6697029 DOI: 10.1063/1.5096030] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 06/13/2019] [Indexed: 05/06/2023]
Abstract
Microfluidics is a technique for the handling of small volumes of liquids on the order of picoliters to nanoliters and has impact for miniaturized biomedical science and fundamental research. Because of its multi- and interdisciplinary nature (i.e., combining the fields of biology, chemistry, physics, and engineering), microfluidics offers much potential for educational applications, both at the university level as well as primary and secondary education. Microfluidics is also an ideal "tool" to enthuse and educate members of the general public about the interdisciplinary aspects of modern sciences, including concepts of science, technology, engineering, and mathematics subjects such as (bio)engineering, chemistry, and biomedical sciences. Here, we provide an overview of approaches that have been taken to make microfluidics accessible for formal and informal learning. We also point out future avenues and desired developments. At the extreme ends, we can distinguish between projects that teach how to build microfluidic devices vs projects that make various microscopic phenomena (e.g., low Reynolds number hydrodynamics, microbiology) accessible to learners and the general public. Microfluidics also enables educators to make experiments low-cost and scalable, and thereby widely accessible. Our goal for this review is to assist academic researchers working in the field of microfluidics and lab-on-a-chip technologies as well as educators with translating research from the laboratory into the lecture hall, teaching laboratory, or public sphere.
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Affiliation(s)
- Darius G. Rackus
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland
| | | | - Nicole Pamme
- Department of Chemistry and Biochemistry, University of Hull, Cottingham Road, Hull HU6 7RX, United Kingdom
- Authors to whom correspondence should be addressed:; ; and
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Interactive programming paradigm for real-time experimentation with remote living matter. Proc Natl Acad Sci U S A 2019; 116:5411-5419. [PMID: 30824592 PMCID: PMC6431204 DOI: 10.1073/pnas.1815367116] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Biology cloud laboratories are an emerging approach to lowering access barriers for life-science experimentation. However, suitable programming approaches and interfaces are lacking for both domain experts and lay users, especially ones that enable interaction with the living matter itself and not just the control of equipment. Here we present a programming paradigm for real-time interactive applications with remotely housed biological systems which is accessible and useful for scientists, programmers, and lay people. Our user studies show that scientists and nonscientists are able to rapidly develop a variety of applications, such as interactive biophysics experiments and games. This paradigm has the potential to make first-hand experiences with biology accessible to all of society and to accelerate the rate of scientific discovery. Recent advancements in life-science instrumentation and automation enable entirely new modes of human interaction with microbiological processes and corresponding applications for science and education through biology cloud laboratories. A critical barrier for remote and on-site life-science experimentation (for both experts and nonexperts alike) is the absence of suitable abstractions and interfaces for programming living matter. To this end we conceptualize a programming paradigm that provides stimulus and sensor control functions for real-time manipulation of physical biological matter. Additionally, a simulation mode facilitates higher user throughput, program debugging, and biophysical modeling. To evaluate this paradigm, we implemented a JavaScript-based web toolkit, “Bioty,” that supports real-time interaction with swarms of phototactic Euglena cells hosted on a cloud laboratory. Studies with remote and on-site users demonstrate that individuals with little to no biology knowledge and intermediate programming knowledge were able to successfully create and use scientific applications and games. This work informs the design of programming environments for controlling living matter in general, for living material microfabrication and swarm robotics applications, and for lowering the access barriers to the life sciences for professional and citizen scientists, learners, and the lay public.
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Roll I, Russell DM, Gašević D. Learning at Scale. INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION 2018. [DOI: 10.1007/s40593-018-0170-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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