Michael Gartner - Revision history

Jonny at 02:29, 12 November 2022

2022-11-12T02:29:56Z

← Older revision		Revision as of 02:29, 12 November 2022
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	\|Affiliation=University of Washington		\|Affiliation=University of Washington
	\|Table Assignment=Table 3		\|Table Assignment=Table 3
	}}		}}
	{{Workshop Submission		{{Workshop Submission
	\|Interest=My new lab at the University of Washington combines biophysical modeling with experimental measurements to study how cells move their membranes. Our long-term goal is to identify some of the principles that govern the transition from nonliving proteins to living, adapting cells. Such an understanding requires a synthesis of disparate data in molecular and cellular biology that is distilled into conceptual and quantitative models. To further this goal, we also pilot experimental ways to structure and communicate our research. Using Roam Research, we are adapting Joel Chan’s discourse graph extension in order to turn our ongoing research projects into a collective knowledge graph. Our lab cybrarian, Michael Gartner, facilitates adoption by new lab members by developing group conventions and ease-of-use tools within Roam Research. Each lab member will structure their literature review using a discourse graph (Question/ Claim/ Evidence/ Hypothesis) and structure their research project using a novel structure we call a results graph (Question/ Conclusion/ Result/ Issue). We hypothesize that this structure will flatten the learning curve for conducting original empirical research and allow individuals’ intellectual contributions to interleave into a collective project, with more accurate credit attribution for research done. In this workshop, we would like to learn from knowledge synthesis researchers and tool developers to inform, guide, and help scale this pilot project for broader use.		\|Interest=My new lab at the University of Washington combines biophysical modeling with experimental measurements to study how cells move their membranes. Our long-term goal is to identify some of the principles that govern the transition from nonliving proteins to living, adapting cells. Such an understanding requires a synthesis of disparate data in molecular and cellular biology that is distilled into conceptual and quantitative models. To further this goal, we also pilot experimental ways to structure and communicate our research. Using Roam Research, we are adapting Joel Chan’s discourse graph extension in order to turn our ongoing research projects into a collective knowledge graph. Our lab cybrarian, Michael Gartner, facilitates adoption by new lab members by developing group conventions and ease-of-use tools within Roam Research. Each lab member will structure their literature review using a discourse graph (Question/ Claim/ Evidence/ Hypothesis) and structure their research project using a novel structure we call a results graph (Question/ Conclusion/ Result/ Issue). We hypothesize that this structure will flatten the learning curve for conducting original empirical research and allow individuals’ intellectual contributions to interleave into a collective project, with more accurate credit attribution for research done. In this workshop, we would like to learn from knowledge synthesis researchers and tool developers to inform, guide, and help scale this pilot project for broader use.

Jonny at 20:50, 26 October 2022

2022-10-26T20:50:08Z

← Older revision		Revision as of 20:50, 26 October 2022
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	\|Timezone=America/Los Angeles (GMT−08:00/GMT−07:00)		\|Timezone=America/Los Angeles (GMT−08:00/GMT−07:00)
	\|Affiliation=University of Washington		\|Affiliation=University of Washington
			\|Table Assignment=Table 3
	}}		}}
	{{Workshop Submission		{{Workshop Submission

Jonny: Created page with "{{Participant |Timezone=America/Los Angeles (GMT−08:00/GMT−07:00) |Affiliation=University of Washington }} {{Workshop Submission |Interest=My new lab at the University of Washington combines biophysical modeling with experimental measurements to study how cells move their membranes. Our long-term goal is to identify some of the principles that govern the transition from nonliving proteins to living, adapting cells. Such an understanding requires a synthesis of dispar..."

2022-10-26T20:22:51Z

Created page with "{{Participant |Timezone=America/Los Angeles (GMT−08:00/GMT−07:00) |Affiliation=University of Washington }} {{Workshop Submission |Interest=My new lab at the University of Washington combines biophysical modeling with experimental measurements to study how cells move their membranes. Our long-term goal is to identify some of the principles that govern the transition from nonliving proteins to living, adapting cells. Such an understanding requires a synthesis of dispar..."

New page

{{Participant
|Timezone=America/Los Angeles (GMT−08:00/GMT−07:00)
|Affiliation=University of Washington
}}
{{Workshop Submission
|Interest=My new lab at the University of Washington combines biophysical modeling with experimental measurements to study how cells move their membranes. Our long-term goal is to identify some of the principles that govern the transition from nonliving proteins to living, adapting cells. Such an understanding requires a synthesis of disparate data in molecular and cellular biology that is distilled into conceptual and quantitative models. To further this goal, we also pilot experimental ways to structure and communicate our research. Using Roam Research, we are adapting Joel Chan’s discourse graph extension in order to turn our ongoing research projects into a collective knowledge graph. Our lab cybrarian, Michael Gartner, facilitates adoption by new lab members by developing group conventions and ease-of-use tools within Roam Research. Each lab member will structure their literature review using a discourse graph (Question/ Claim/ Evidence/ Hypothesis) and structure their research project using a novel structure we call a results graph (Question/ Conclusion/ Result/ Issue). We hypothesize that this structure will flatten the learning curve for conducting original empirical research and allow individuals’ intellectual contributions to interleave into a collective project, with more accurate credit attribution for research done. In this workshop, we would like to learn from knowledge synthesis researchers and tool developers to inform, guide, and help scale this pilot project for broader use.
|Frame=Practitioner
|Materials=A more detailed description of our project to convert our lab notebooks into knowledge graphs is described in the attached file and the following link: https://wiki.invisible.college/projects/resultsgraph
Also included is a screenshot of our lab's growing discourse graph on cell biology and the cytoskeleton.
|Organizer Topics=Documents, Research Data
}}