ASIS&T 2011 — Day 2

Last week was ASIS&T 2011. I put together a series of blog posts, one to cover each day. I had every intention of making them pretty, but it’s been a week and it doesn’t look like that’s going to happen. So here — in raw form — are my notes from Monday, Oct. 9, 2011.

Plenary:
How To Identify Ducks In Flight
Steve Kelling

Starts with duck identification. Males different identification marks than female. ~100 species in US.

Citizen Science Projects: Captcha, Fold It (proteins folded), Galaxy Zoo (digital map ID of galaxy)

eBird
Pretty dull interface, but asks for necessary information about sightings.
1.7 million of checklists worldwide, 99% data collected in 2011

Building community:
Key: understanding audiences!
Using crowdsourcing techniques to develop their community (pic of Crowdsourcing book)
My eBird, names on lists (’cause everyone likes to see their name in print), competitions
Tools to access the data submitted in different ways

Use mashup technologies — Google maps & purple dots

1,300,000 hours volunteered to eBird

Data use:
humans the only one who can identify biodiversity. Equipment can observe individual items such as environmental conditions.
Data ONE: how to pull all the data together and create meaningful associations between the datasets
data interoperability challenges
link semantic relationships & syntactic data

Used dublin (Darwin) core, expanded out to to create system that researchers can use.
50-75 publications per year from dataset

Create the data, also provides access to data and publishes results. Full scale!
Concerned with scalability — local to regional to national

Can see migratory patterns over time
Zoom in to allow land managers to see impacts of decision on bird species
Allows to see habitat preferences of birds — unknown before project started

How to apply information?
State of the Birds report from Secretary of the Interior — biological indicator
How birds use public lands? GIS analysis overlay public lands map w/ birds
Most birds found on BLM lands (BLM energy extraction, not conservation)

Used during oil spill to track affects on birds
Found very few died from result of spill

Gulf of Mexico environmental report card
several environmental indicies, grade for different regions

Next?
NEXrad imagery to see migration + sounds at different locations
Sounds hard to identify to species, use to sound waves to use machines to identify birds. Very accurate
Use to see how birds migrate, make forecasts to help mitigate hazards to birds (wind turbines, skyscrapers, etc)

Sessions:

Ux: Novelty Aesthetic appeal, usability, focus attention, felt involvement, endurability
Why needed for framework of human / information interactions?

Background
Literacy
Demographics
Process
Behavioural
Self-report
Outcome
User Engagement Scale (31 point scale)
Interviews
Reflection on the research product

Snapshots, log files, interviews
Change in competence? Needs? Motivation? Comprehension?

Affects
Contextual Variables Measurements
Context = mood, activities prior to info interactions
Experience = perceptions and memories of interactions
Preference = changes in info behaviours

Emotions can affect how a user completes a task. Does a user have information preferences? Better interaction or worse interaction = stronger the memory.

Credibility
Continuity — prior experience & knowledge
Pertinent eval — Subjective assessment
Heuristics — judgements based on mind’s basic computations

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Sara Written by:

I'm an Information Architect and Taxonomist in the greater Philadelphia, PA area. Mad about metadata. Incessant organizer. Knowledge monger. Information seeker. Wisdom chaser. Curiosity has yet to kill this cat!