H01 electron microscopy with object segmentation and original 2 µm scale bar NeuroTrailblazers · Module 22

Scientific Writing and Presentation

Teaching Deck

Human cortex · H01
Object segmentation over electron microscopy

H01 release · Lichtman Lab / Harvard & Connectomics at Google · CC BY 4.0
Shapson-Coe et al. (2024) · doi:10.1126/science.adk4858

Module 22 · NeuroTrailblazers

Learning Objectives

  • Design a coherent scientific talk from connectomics evidence
  • Adapt explanation depth for expert and non-expert audiences
  • Handle audience questions without overclaiming
  • Make hidden presentation norms explicit for trainees
Module 22 · NeuroTrailblazers

Session Outcomes

  • Learners can complete the module capability target.
  • Learners can produce one evidence-backed artifact.
  • Learners can state one limitation or uncertainty.
Module 22 · NeuroTrailblazers

Capability Target

Deliver a 10-minute connectomics talk with evidence-linked claims, explicit uncertainty, and audience-appropriate language, then respond to questions without overclaiming. Operationally: every slide carries one claim and names the dataset version behind it, you can write down in advance the two questions you are most likely to be asked, and you have a rehearsed answer to each that ends in a next test rather than a defense.

Module 22 · NeuroTrailblazers

Concept Focus

1) Evidence-first narrative

  • Technical: each major slide maps to one core claim and one evidence source: a named figure panel, a metric with an effect size, and the dataset version it came from. Build the claim tree before opening slide software. A claim with no evidence node is background and belongs in a sentence, not a slide.
  • Plain language: do not ask the audience to infer your logic. A listener reconstructing why slide 5 follows slide 4 is not listening to slide 6.
  • Misconception guardrail: a compelling narrative arc can carry a claim the evidence does not support.
Module 22 · NeuroTrailblazers

Core Workflow

  • Build the claim tree on paper: question at the root, two or three claims, one evidence item and one caveat under each, deleting any claim you cannot attach evidence to.
  • Write the time budget for your slot, then select the minimal slide set that preserves the inferential logic; every surviving slide must answer "which node of the claim tree is this?"
  • Draft the one-line provenance statement for the data slide: species and region, imaging modality and resolution, segmentation pipeline, proofreading or materialization version, and any exclusion criterion.
Module 22 · NeuroTrailblazers

Core Workflow (continued)

  • Rehearse against a timer with no audience and cut to the budget, then rehearse again with transitions spoken aloud, because the sentence carrying slide 4 into slide 5 is the one people improvise badly.
  • Run peer critique with one narrow brief: mark every sentence where the spoken claim is stronger than the slide's evidence.
  • Write the two most likely questions and a three-sentence answer to each, choosing the answer shape from the question-type taxonomy.
Module 22 · NeuroTrailblazers

Core Workflow (continued)

  • Revise with explicit uncertainty statements, checking the rung is identical in slide, speech, and prepared answer.
Module 22 · NeuroTrailblazers

Run of Show (60 min)

  • 00:00-08:00 | Framing and exemplar
  • 08:00-18:00 | Claim tree workshop
  • 18:00-30:00 | Slide drafting sprint
  • 30:00-42:00 | Peer critique round
  • 42:00-54:00 | Q&A simulation
  • 54:00-60:00 | Debrief and competency check
Module 22 · NeuroTrailblazers

Misconceptions to Watch

  • Misconception guardrail: a compelling narrative arc can carry a claim the evidence does not support.
  • Misconception guardrail: caveats can be dropped for a general audience because they would not understand them anyway.
  • Misconception guardrail: answering confidently is what makes an answer credible.
  • Misconception guardrail: speaking faster is a legitimate way to fit more material into a fixed slot.
  • Misconception guardrail: hedging weakens a talk and should be minimized.
  • Misconception guardrail: every question in Q&A is an attack that must be rebutted.
Module 22 · NeuroTrailblazers

Studio Activity

Scenario: You are presenting one connectomics result to mixed audience members (domain experts + trainees). Use your own result if you have one. Otherwise: in a cortical EM volume, layer 4 excitatory neurons form 3.2x more synapses onto PV+ interneurons than a degree-preserving null model predicts, from 847 connections at a specific materialization version, with roughly a third of the relevant arbors proofread. Two people in the room work on segmentation; one is a physiologist who has never opened an EM volume.

Module 22 · NeuroTrailblazers

Activity Output Checklist

  • Evidence-linked artifact submitted.
  • At least one limitation or uncertainty stated.
  • Revision point captured from feedback.
Module 22 · NeuroTrailblazers

Assessment Rubric

  • Minimum pass: claims are evidence-linked and caveats visible; language is audience-appropriate without technical distortion; Q&A responses include limits and follow-up tests; the deck names dataset and version.
  • Strong performance: anticipates likely critiques and addresses them proactively; balances accessibility with methodological precision; concedes the valid part of a challenge while defending the rest; keeps the same uncertainty rung in slide, speech, and answer.
  • Common failure to flag: overcompressed methods leading to overclaiming, jargon-heavy explanation with missing context, and defensive Q&A that asserts authority instead of citing evidence. Flag over-conceding too: abandoning a supported result under mild challenge is a calibration failure, not modesty.
Module 22 · NeuroTrailblazers

Exit Ticket

Write your 60-second talk opener with the core question, one evidence-backed finding, one explicit caveat, and one sentence pre-empting the challenge you most expect. Read it aloud against a timer; if it runs past 60 seconds, cut the background sentence first.

Module 22 · NeuroTrailblazers

References (Instructor)

  • Gopen and Swan (1990) - clarity principles for scientific prose.
  • Technical Track Journal Club papers for evidence-backed slide narratives.
Module 22 · NeuroTrailblazers

Teaching Materials

  • Module page: /modules/module22/
  • Session kit: /teaching/sessions/module22/
  • Worksheet: /assets/worksheets/module22/module22-activity.md
Module 22 · NeuroTrailblazers

00:00-08:00 | Framing and exemplar Instructor demonstrates one evidence-linked opening slide. Show two versions of the same opener, one starting with field history and one with the question. Script line: "You have sixty seconds before the audience decides how hard to listen." 08:00-18:00 | Claim tree workshop Learners draft question-claim-evidence-caveat map, capped at three claims. Circulate asking one question only: "what is the evidence node under this claim, and which dataset version?" 18:00-30:00 | Slide drafting sprint Build 4-slide mini-talk (problem, method, result, limitation). Require the provenance line and a named uncertainty rung. Early finishers draft backup slides, not more main slides. 30:00-42:00 | Peer critique round Review for clarity, caveat visibility, and claim discipline, under one narrow brief: mark every place the spoken claim outruns the slide's evidence. 42:00-54:00 | Q&A simulation Each learner answers two critique questions. Assign types so everyone gets one methods challenge and one alternative-explanation question. Name the type before judging the answer. 54:00-60:00 | Debrief and competency check Submit revised claim language and one uncertainty statement, then name the question you most fear. That list is next session's material.