Michael Gartner: Difference between revisions
(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...") |
No edit summary |
||
| (One intermediate revision by the same user not shown) | |||
| Line 2: | Line 2: | ||
|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 | ||
|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. | ||
Latest revision as of 02:29, 12 November 2022
| Michael Gartner | |
|---|---|
| Timezone | America/Los Angeles (GMT−08:00/GMT−07:00) |
| Institutional Affiliation(s) | University of Washington
|
| Group(s) | Table 3, Computable Graphs |
| Table Assignment | Table 3
|
Discord
Page Schemas#Creating a new Schema Page schemas is mostly a handy way to generate boilerplate templates and link them to semantic properties. A Form (using Page Forms is something that is an interface for filling in values for a template.
For an example of how this shakes out, see Category:Participant Template:Participant Form:Participant
- go to a `Category:CategoryName` page, creating it if it doesn't already exist.
- Click "Create schema" in top right
- If you want a form, check the "Form" box. it is possible to make a schema without a form. The schema just defines what pages will be generated, and the generated pages can be further edited afterwards (note that this might make them inconsistent with the schema)
- Click "add template" If you are only planning on having one template per category, name the template the same thing as the category.
- Add fields! Each field can have a corresponding form input (with a type, eg. a textbox, token input, date selector, etc.) and a semantic property.
- Once you're finished, save the schema
- Click "Generate pages" on the category page. Typically you want to uncheck any pages that are already bluelinks so you don't overwrite them. You might have to do the 'generate pages' step a few times, and it can take a few minutes, bc it's pretty buggy.
Workshop Submission
What's your interest in this workshop?
With what "frame" do you approach the workshop? (or identity)?
Practitioner
What materials can you contribute to the workshop for consideration?
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-estimated Topics