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Initial ISS Workshop Content Except Session 1
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# Participatory Design Workshop Outline
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## [Session 1: Welcome & Framing (10 minutes)](../session1/index.md)
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[Session 1: Welcome & Framing (10 minutes)](../session1/index.md)
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## [Session 2: Individual Idea Generation (15 minutes)](../session2/index.md)
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[Session 2: Individual Idea Generation (15 minutes)](../session2/index.md)
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## [Session 3: Small Group Clustering (20 minutes)](../session3/index.md)
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[Session 3: Small Group Clustering (20 minutes)](../session3/index.md)
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## [Session 4: Collaborative Use Case Development (25 minutes)](../session4/index.md)
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[Session 4: Collaborative Use Case Development (25 minutes)](../session4/index.md)
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## [Session 5: Group Feedback (15 minutes)](../session5/index.md)
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[Session 5: Group Feedback (15 minutes)](../session5/index.md)
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## [Session 6: Synthesis &: Next Steps (5 minutes)](../session6/index.md)
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[Session 6: Synthesis &: Next Steps (5 minutes)](../session6/index.md)

AI_For_Scientific_Discovery_Participatory_Design_Workshop/session1/index.md

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```{include} ../timers/timer-10-minutes.md
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```
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```{warning}
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- Should we say generative AI / AI / agentic AI / agentive AI?
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- Discuss with team, and then maintain consistency everywhere.
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```

AI_For_Scientific_Discovery_Participatory_Design_Workshop/session2/index.md

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```{include} ../timers/timer-15-minutes.md
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```
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```{admonition} Prerequisites
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- Each participant has a print out with overlapping content from Session 1 for anchoring the rest of the workshop.
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- Each participant has sticky notes of 3 colors:
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- Yellow
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- Green
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- Red
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- 1 Easel pad on each table.
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```
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```{admonition} Goal
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:class: tip
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Come up with specific challenges in your research domain, where you think tools powered by generative AI (or agentic AI) could be useful.
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Aim for 5-8 ideas per person.
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Individual idea generation is encouraged, but talk to other participants (and us) if you are stalled.
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```
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- Use <span style="background-color:green;color:white;">green sticky
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notes</span> for: `Existing AI-Powered Ideas.` For example, solutions you have
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heard about.
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- Use <span style="background-color:yellow;">yellow sticky notes</span> for:
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`Problems Within Your Research Context.` For example, what frustrates you?
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Where could you appreciate more support?
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- Use <span style="background-color:red;color:white;">red sticky notes</span>
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for: `Concerns With Integrating AI.` For example, what would be some risks in
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integrating AI in the research workflow with respect to your field?

AI_For_Scientific_Discovery_Participatory_Design_Workshop/session3/index.md

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```{include} ../timers/timer-20-minutes.md
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```
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## Within Table Sharing & Idea Clustering (~15 minutes)
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```{warning}
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- Should facilitators join?
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```
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- Participants share their sticky notes with other members at their tables.
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- Group and cluster similar problems together naturally.
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- Look for patterns across disciplines and come up with themes.
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- Goal is to organize and understand, but not to judge the idea.
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## Sharing with Everybody (~5 minutes)
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```{warning}
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- Should facilitators do the sharing with everybody bit?
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- Timing could be tight, confirm the concrete step here with rest of the team.
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```
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```{admonition} Prerequisites
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- One of the facilitators opens up a Google Doc that is screen shared with the room for note taking. Share the link of the Google doc with everybody (through a QR code).
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```
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- Each table briefly shares its main problem clusters with the room and the note
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taker puts the notes in the Google doc.
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- Other tables can add sticky notes if they have related ideas.
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- People can look for surprising connections across other scientific fields.

AI_For_Scientific_Discovery_Participatory_Design_Workshop/session4/index.md

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```{include} ../timers/timer-25-minutes.md
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```
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## Form Interest-Based Groups (Optional, ~5 minutes)
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- Participants can self-organize and move to different tables for the most
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compelling themes.
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- Aim to maintain a decent headcount on each table.
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## Develop Use Cases
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- 1 Easel pad chart paper for 1 use case.
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- Groups work on flip chart paper, building ideas collaboratively.
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- Use Case Template:
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- **The Problem:** What specific research challenge does this address?
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- **The AI Solution:** What would the AI system do? (be specific)
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- **The Data:** What data would be needed to train/run this AI? What data
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would be needed to support the agentic AI?
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- **The Impact:** How would this change scientific practice?
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- **Cross-Field Applications:** How might this work or impact other
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disciplines?
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### For Rich Use Case Development
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- Push for specificity and avoid vague "AI could help with data analysis or
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hypothesis generation".
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- Consider feasibility at some point. Science fiction is great, but not all the
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use cases can be that. What would it take to actually build this?
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- Think about adoption and encourage thinking around, would scientists actually
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use this?
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- Explore unintended consequences and what could go wrong. How could it hurt
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scientific discovery?

AI_For_Scientific_Discovery_Participatory_Design_Workshop/session5/index.md

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```{include} ../timers/timer-15-minutes.md
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```
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## Room Setup (~2 minutes)
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```{warning}
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- Check Arielle's response to Anshul's email re: `We are planning to stick some of the larger easel sheets to the walls for display/voting, is this okay?`
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- Decide dot color for each kind of vote.
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- Resolve below comment with Sarah and rest of the team (2-3 max / don’t put a dot if you think it’s great / risks with any idea / AI safety? / AI skeptical?).
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```
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- Groups post their use case charts around the room.
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## Voting and Feedback (~13 minutes)
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- Participants walk around with voting dots.
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- Place dots on (2-3 max / don’t put a dot if you think it’s great / risks with
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any idea / AI safety? / AI skeptical?):
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- Most innovative use case
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- Most practical/implementable
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- Most relevant to your field
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- Most surprising cross-disciplinary application
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- Participants can add brief written feedback on sticky notes:
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- Focus can be on: "This reminds me of..." or "You could also..."

AI_For_Scientific_Discovery_Participatory_Design_Workshop/session6/index.md

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```{include} ../timers/timer-5-minutes.md
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```
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```{warning}
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- Add QR code for data collection (name, discipline, institution, would they be interested if reach out to them for engaging in the tools we build?)
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```
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- Facilitator highlights emerging themes from voting patterns.
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- Note unexpected interdisciplinary connections.
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- Identify most promising use cases.
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- Team will digitize and share all use cases with participants.
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- Share how these ideas will be developed further?
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- Collect names for continued collaboration and future interviews.
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- Thank participants.
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## Expected Outcomes
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By the end of the session, you should have:
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- 25-35 specific AI use cases documented.
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- Clear identification of interdisciplinary opportunities.
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- Understanding of common research challenges across fields.
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- Network of scientists interested in AI collaboration.
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- Prioritized list of the most promising use cases for development.
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## Follow-Up Actions
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- Digitize and share all use cases with participants.
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- Plan technical feasibility assessments.

AI_For_Scientific_Discovery_Participatory_Design_Workshop/workshop-preparation/index.md

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## Materials Needed
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- Large sticky notes (3 different colors)
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- Markers/pens
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- Flip chart paper or whiteboards
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- Digital collaboration tool (Miro/Mural) as backup
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- Timer
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- Name tags with discipline indicators
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- Voting dots
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- Palm-Sized Post-it Notes
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- 90 sets total
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- 3 different colors
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- 30 sets of each color
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- 75 Markers/Pens
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- 15 Large Easel Pads (flip charts)
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- For participants to cluster their smaller post its, design use cases, and
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display for voting.
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- Voting Dots
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- PCS Colored Dot Stickers
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- 4 different colors
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## Room Setup
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