Why:
Technical and non-technical barriers to effective collaboration often hamper progress, especially when highly productive groups with diverse expertise and computational backgrounds work on common problems. Overcoming these barriers and learning from collective experience is critical for ensuring successful outcomes.
What:
This two-part workshop will be conducted in an idea/innovation labs format with meeting facilitators. The goal is to bring together thought-leaders and practitioners in data-driven open science projects with participants from areas emphasizing Astronomy, Earth Sciences, Computational and Information Sciences, Mathematics, and Cyberinfrastructure.
We’ve dubbed the two workshops “Lemon” and “Lemonade” labs. During the Lemon Lab (Spring 2019), we openly discussed challenges in inter- and transdisciplinary collaborations and brainstorm ideas on improve productivity and outcomes. At the subsequent Lemonade Lab (Fall 2022), participants will prototype ideas and solutions identified during the Lemon Lab workshop in a codefest/hackathon-style event — turning “lemons” into thirst-quenching “lemonade.”
More details of the workshops are available in the NSF proposal here.
Who, When & Where:
After a very long hiatus we finally have the dates and venue finalized for the concluding activity of the Lemon Labs series. Keeping with the tradition of organizing events at fun locations, our amazing colleagues at UT Knoxville have managed to secure a popular venue and accommodations near Great Smoky Mountains (Park Vista, Gatlinburg) during fall foliage.
Dates: 17-20 October 2022
Location: Park Vista Hotel, Gatlinburg, TN
Closest Airport: McGhee-Tyson Airport (TYS), Knoxville, TN
To refresh our collective memory the goal of the two workshops “Lemon” and “Lemonade” labs (funded by NSF). During the Lemon Lab, we discussed challenges in inter and transdisciplinary collaborations and brainstormed ideas for improving productivity and outcomes (summarized in our PLoS paper).
Many of you have incorporated parts of what we discussed in the PLoS paper into new collaborations, courses, and labs. For the Lemonade Lab, participants will share some of their experiences and suggest improvements to the initial recommendations. The key activity for Lemonade lab is to reimagine the technical/computing/collaboration components for the knowledge commons aspects for your discipline/community and sketching/prototyping ideas and solutions in a codefest/hackathon-style.
Our participants will include practioners that build/support platforms/tools for Data Science workloads and we will form teams that collectively work on focused topics of interest. We will hold pre-workshop planning zoom sessions so we can make this event productive for everyone. This event will not have a virtual component (all in person) as we expect smaller teams to wander off to a hike/walk and work where they feel comfortable.
Please RSVP your attendance using this form. NSF funds will support the travel and lodging, we will send details on booking your travel in two weeks.
Feel free to contact us if you have any questions/suggestions.
Organizers:
Mona Papes (Univ. of Tennessee, Knoxville)
Faryad Sahneh (Univ. of Arizona)
Stephen Kobourov (Univ. of Arizona)
Nirav Merchant (Univ. of Arizona)
