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[Music]

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welcome everyone um and welcome back

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after afternoon tea think firstly thank

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you to catherine for the amazing

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conversation that we had about shovel

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ready glamour graduates

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uh next up we have ingrid and catherine

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ingrid drives practice change in digital

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transformation of humanity's research

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and cultural heritage

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through the development of new

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technologies and national infrastructure

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she's a leader and volunteer in the

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international lodlam which is linked

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open data for libraries archives and

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museums and ai for lamb which is ai for

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libraries archives and museums and in

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those communities and she's also a

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metadata nerd and a bit of a tech head

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and she's also fabulous

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uh catherine has is also joining us

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who is an ai for lam co

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committee volunteer she has worked with

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archives in the show since 2003 and is

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currently the associate director at the

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royal melbourne institute of technology

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or rmit library

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she is a phd student in her final year

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at monash university and catherine is

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also the past editor of the australian

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society of archivist journal archives

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and manuscripts and is currently on the

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editorial board member for the archives

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and records journal so over to you

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lovely ladies thanks

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thanks sarah lovely to be here with you

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today um

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i'm coming to you today from none or

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land

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and i'd like to pay my respects to

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elders past present and emerging and i'd

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like to introduce my co-speaker

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catherine jarvi

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thank you great to be here everyone nice

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to meet you and i would also like to pay

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my respects to their elders past present

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future and anybody here today

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great so we're going to talk to you

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today it's going to be a bit of a

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conversation between catherine and i

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about the grassroots action that's been

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going on in the regional chapter for ai

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forum by libraries archives and museums

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we spoke at the uh go glam mini

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conference last year

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and we just thought we'd provide a bit

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of an update

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to let you know what we've been up to

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where we think we're heading and why we

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think you might like to be involved in

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some way shape or form

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so we'll just kick off

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okay so there's a bunch of us that have

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come together to do some coordination

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and you can see that there's quite a

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sprinkling there of people from

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australia who've taken on coordination

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activities not everybody's active at the

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same time

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people's lives of course

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interrupt um and their ability to

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participate is welcomed whenever it's

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available and um

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they can take a back seat whenever they

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need to so we've had people move in and

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out of the coordination group

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and

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people come to this

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idea of ai for lamb and what we might do

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as a community a little bit differently

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which is great

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so we're going to cover four questions

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today why take a grassroots approach

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why does community building across group

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boundaries matter

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who have we heard from and what have we

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learned and what happens next

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so we're going to enter into a bit of a

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conversation and we really look forward

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to your questions or comments as we go

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through

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so catherine i'm going to hand this one

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to you

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why do you think a grassroots approach

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was appealing

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yeah so for me i thought i'd talk to my

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motivation for joining and that was

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because being a grassroots group you get

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a whole different cohort of people from

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various different

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backgrounds different levels of

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organization different types of people

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so

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[Music]

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my particular interest in

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ai

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and applying that into my workplace

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setting was to see what other people

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were doing how they were applying ai

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within their personal projects or their

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technical projects at work and because i

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work in a library we haven't got any ai

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projects underway

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when i began

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aiflam a year ago

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so i was hoping to learn from my peers

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and really bring that back to the

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librarians within the university to say

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hey there's this great project that

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others are doing we could do something

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similar or these are the skills that we

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could acquire particularly because my

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role is

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associate director of engagement

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we want to engage our staff to

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really upskill in ai where it's

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necessary for their role or where their

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role can be built and expanded upon its

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cur its current form and also recruit in

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to the library the skills required but

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we need the projects

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for to attract those those people and um

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create those position descriptions and

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create opportunities for people to come

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into the library so that was my

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motivation and the reason why i thought

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joining a grassroots group like ai for

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lamb would be useful to me it hasn't

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necessarily panned out yet i'm still on

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the hunt for you know

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as we grow and expand i'm still looking

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for that perfect position description to

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create within the library or perfect

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project to start and kick off but i'm

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sure it will happen

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yeah that's really good it's nice and

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concrete

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i really like when we talked about this

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that this was a really clear motivation

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and it was quite different to mine

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because

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i'm not in a management role i'm

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managing an infrastructure project at

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anu but i became

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really interested in ai because i went

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overseas to have a talk to

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some colleagues in norway

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who were doing um who'd kicked off this

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whole community and it just kind of blew

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my mind

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and i

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really could see the need to have a

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cross-cutting agenda because there were

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so many different viewpoints to sort of

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try and draw together and to learn from

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to complement whatever i might be able

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to bring

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and

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i really liked the grassroots approach

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because i could see that it would

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create a nice complement to the

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professional associations that many in

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our community belong to

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and it's quite hard to kind of pull all

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those different parts of the glam

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equation together let alone bring them

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together with the research

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community and bring them together with

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the technical community so that was what

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really appealed to me

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about the whole idea of a grass roots

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approach and also i guess

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in relation to those different

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viewpoints

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to be able to translate ai technology

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well was really important to me

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personally probably because i've had a

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lot of involvement over the last

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i don't know how many years

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with technology development and it's

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really important um not to take uh

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technologies at face value and that

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critical kind of thinking

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seemed to be a really nice niche to

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enter into with others because you get

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so much use from other perspectives

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so yeah that's kind of why the

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grassroots approach and catherine and i

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thought that this this is a good way of

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conveying to you the reasons that people

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have stepped up to just be part of the

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slack channel that we've got and also to

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help with coordination

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so catherine i'll hand it back to you

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around community building

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yeah so as i said we're looking to build

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our ai philam community and

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i find that the events that we do have

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and the conversations that we have

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within ai for lamb is a good

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conversation starter within my library

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so i can share the links to our youtube

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videos with them

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uh

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we're really big users of yammer within

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rmit libraries so

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i can share the links there and have

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local conversations about it

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it has been hard to get people to talk

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about ai i think they might be wary

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about it so i'd be interested to have a

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chat um

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later in our conversations in the

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questions

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but um

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i think making people feel

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less scared about ai i think there's

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this impression that maybe you know

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robots will take over

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librarians jobs or archivists roles uh

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it's about you know talking about the

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opportunities i feel to expand uh what

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we're doing and create new roles that

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incorporates both the human and the

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technology together

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uh so i feel that has really

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being part of ai for land has helped me

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have that conversation and bring that

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conversation into my workplace

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also i'm studying a grassroots animal

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rights organization so i

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really interested in communities as part

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of my phd research and that research is

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about

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appraisal within communities and

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appraisal being how

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archives are stored created and why and

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for how long

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not only by people but by technologies

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and that i think has really led to an

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interest in alignment with that study

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with linked open data the open web and

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really thinking about how communities

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can empower themselves to be their own

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archivists and again not necessarily

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while you're challenging the traditional

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archival models you're not necessarily

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putting the archivist out of a job it's

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partnering with archivists so

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that's really aligned there i feel that

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in my workplace it's about making feel

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people feel comfortable about the ai

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conversation and in my studies thinking

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about how we can empower communities in

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their own archival practice without

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putting the archivists out in the coals

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that it's a partnership

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yeah that's um i think the the comfort

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we had a bit of a chat um in prepping

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for this talk about how important

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feeling comfortable with technologies is

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and i guess because my background is

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lobby background

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literacy and dexterity have always been

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elements of library practice where

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you're teaching people about new ways to

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find information or new types of

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information or new ways to create

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information

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that's definitely been an element of

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practice and

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yeah i guess

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the community building for me was really

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important because i think

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we get the best out of each other

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because of our slightly different

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approaches to things

288
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and because i've worked in e-research

289
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you know

290
00:10:52,800 --> 00:10:57,440
probably for about 12 years now

291
00:10:55,279 --> 00:11:00,959
and it's really altered the way that i

292
00:10:57,440 --> 00:11:03,120
think about um services around

293
00:11:00,959 --> 00:11:05,120
collections glam collections

294
00:11:03,120 --> 00:11:06,880
and of course around research because

295
00:11:05,120 --> 00:11:09,920
i've worked with such a different range

296
00:11:06,880 --> 00:11:13,519
of people and i've really benefited

297
00:11:09,920 --> 00:11:16,240
they've been the occasional argument

298
00:11:13,519 --> 00:11:19,440
around you know uh what ai can and

299
00:11:16,240 --> 00:11:21,040
should do and and uh you know it's

300
00:11:19,440 --> 00:11:23,360
sometimes been intimidating for me

301
00:11:21,040 --> 00:11:25,200
especially when i've had a really you

302
00:11:23,360 --> 00:11:26,320
know toe-to-toe conversation with one of

303
00:11:25,200 --> 00:11:28,480
my physics

304
00:11:26,320 --> 00:11:31,279
um colleagues uh

305
00:11:28,480 --> 00:11:32,880
from my time at arnett um because he

306
00:11:31,279 --> 00:11:36,240
comes at things from a very kind of

307
00:11:32,880 --> 00:11:38,160
particular way and i um i really have

308
00:11:36,240 --> 00:11:39,279
seen the benefit of that and that's why

309
00:11:38,160 --> 00:11:41,120
i think

310
00:11:39,279 --> 00:11:44,240
working across the boundaries is so

311
00:11:41,120 --> 00:11:45,760
important and because it's really clear

312
00:11:44,240 --> 00:11:47,920
in research

313
00:11:45,760 --> 00:11:49,200
and it's just come out in the australian

314
00:11:47,920 --> 00:11:52,800
national collaborative research

315
00:11:49,200 --> 00:11:56,720
infrastructure strategy roadmap that

316
00:11:52,800 --> 00:11:59,440
there is a a role being seen for those

317
00:11:56,720 --> 00:12:01,040
who are perhaps not technical to come in

318
00:11:59,440 --> 00:12:02,320
and bring their different types of

319
00:12:01,040 --> 00:12:04,639
expertise

320
00:12:02,320 --> 00:12:07,120
to ai technology development and

321
00:12:04,639 --> 00:12:09,120
application and it's there out there in

322
00:12:07,120 --> 00:12:11,519
the draft that's just been put out there

323
00:12:09,120 --> 00:12:13,680
in december last year that they see a

324
00:12:11,519 --> 00:12:15,920
specific role for social science and i

325
00:12:13,680 --> 00:12:18,079
would argue for humanities researchers

326
00:12:15,920 --> 00:12:20,480
as well

327
00:12:18,079 --> 00:12:22,800
to bring that expertise to this equation

328
00:12:20,480 --> 00:12:23,680
so i guess that's really underlined for

329
00:12:22,800 --> 00:12:25,120
me

330
00:12:23,680 --> 00:12:26,880
the importance

331
00:12:25,120 --> 00:12:29,360
but also because

332
00:12:26,880 --> 00:12:32,079
that knowledge transfer

333
00:12:29,360 --> 00:12:33,040
does need someone that's trusted

334
00:12:32,079 --> 00:12:35,360
to help

335
00:12:33,040 --> 00:12:37,200
facilitate a conversation or to kind of

336
00:12:35,360 --> 00:12:39,680
test ideas against

337
00:12:37,200 --> 00:12:41,680
and i gave a talk to some nazla

338
00:12:39,680 --> 00:12:44,480
colleagues last year because i could see

339
00:12:41,680 --> 00:12:47,600
a massive opportunity to bring the

340
00:12:44,480 --> 00:12:49,440
social skill sets to this

341
00:12:47,600 --> 00:12:50,839
use of ai technology and its

342
00:12:49,440 --> 00:12:52,480
developments

343
00:12:50,839 --> 00:12:54,800
yeah

344
00:12:52,480 --> 00:12:54,800
okay

345
00:12:55,040 --> 00:12:59,440
so this is the matrix um

346
00:12:57,680 --> 00:13:01,839
uh that we put together for the

347
00:12:59,440 --> 00:13:03,440
community and i guess it just gives you

348
00:13:01,839 --> 00:13:06,000
a bit of a breakdown

349
00:13:03,440 --> 00:13:06,880
of the areas that we're trying to work

350
00:13:06,000 --> 00:13:07,760
in

351
00:13:06,880 --> 00:13:09,360
we're

352
00:13:07,760 --> 00:13:11,040
trying to understand how we can work

353
00:13:09,360 --> 00:13:12,959
with our colleagues across the tasman

354
00:13:11,040 --> 00:13:14,639
and we've had some success with that

355
00:13:12,959 --> 00:13:15,839
through the speaking program which is

356
00:13:14,639 --> 00:13:17,120
terrific

357
00:13:15,839 --> 00:13:18,560
um

358
00:13:17,120 --> 00:13:20,480
we've caught up with each other on a

359
00:13:18,560 --> 00:13:22,399
regular basis it's pretty relaxed i

360
00:13:20,480 --> 00:13:24,399
think it is but

361
00:13:22,399 --> 00:13:26,160
most people sort of come and go as they

362
00:13:24,399 --> 00:13:28,320
can

363
00:13:26,160 --> 00:13:30,880
we're really looking for more community

364
00:13:28,320 --> 00:13:32,399
leaders to come forward and people to

365
00:13:30,880 --> 00:13:35,760
pick up an initiative that they're

366
00:13:32,399 --> 00:13:36,720
interested in to drive that forward

367
00:13:35,760 --> 00:13:39,680
um

368
00:13:36,720 --> 00:13:40,959
and we've had some really interesting uh

369
00:13:39,680 --> 00:13:42,639
i guess

370
00:13:40,959 --> 00:13:44,000
moments where we've discovered that

371
00:13:42,639 --> 00:13:46,079
because we're on the other side of the

372
00:13:44,000 --> 00:13:47,040
world where a lot of the

373
00:13:46,079 --> 00:13:49,440
action

374
00:13:47,040 --> 00:13:51,120
is not happening like a lot of the ai

375
00:13:49,440 --> 00:13:53,839
for lamb action is happening in the

376
00:13:51,120 --> 00:13:56,240
northern hemisphere that we've got real

377
00:13:53,839 --> 00:13:58,160
um practical challenges around how we

378
00:13:56,240 --> 00:14:00,240
work with our colleagues and the rest of

379
00:13:58,160 --> 00:14:01,600
the world who are doing some terrific

380
00:14:00,240 --> 00:14:04,720
project work

381
00:14:01,600 --> 00:14:06,560
so um i guess these are like this is

382
00:14:04,720 --> 00:14:08,959
just a bit of a snapshot of what we're

383
00:14:06,560 --> 00:14:11,199
trying to do

384
00:14:08,959 --> 00:14:13,360
so catherine listening and learning what

385
00:14:11,199 --> 00:14:15,519
have you listened to and learned about

386
00:14:13,360 --> 00:14:17,199
yeah so there's been so many really

387
00:14:15,519 --> 00:14:18,880
interesting presentations and the

388
00:14:17,199 --> 00:14:20,560
recordings are available on youtube i

389
00:14:18,880 --> 00:14:22,720
just picked one out

390
00:14:20,560 --> 00:14:24,959
as an example about

391
00:14:22,720 --> 00:14:27,440
one that really stood out and

392
00:14:24,959 --> 00:14:29,440
there may be so many more that we could

393
00:14:27,440 --> 00:14:32,560
delve into this year as well but the

394
00:14:29,440 --> 00:14:34,800
csiro hearing about their collections

395
00:14:32,560 --> 00:14:36,959
they've got a living archival living

396
00:14:34,800 --> 00:14:39,120
collection with biological specimens and

397
00:14:36,959 --> 00:14:42,079
organisms that are alive and having to

398
00:14:39,120 --> 00:14:44,320
be catalogued to a sound library um that

399
00:14:42,079 --> 00:14:46,560
has the sounds of birds so the diversity

400
00:14:44,320 --> 00:14:48,560
of the collection is really immense and

401
00:14:46,560 --> 00:14:50,880
that struck a chord with me

402
00:14:48,560 --> 00:14:52,480
thinking about the different databases

403
00:14:50,880 --> 00:14:53,760
and data sets that need to be brought

404
00:14:52,480 --> 00:14:54,880
together to

405
00:14:53,760 --> 00:14:59,040
um

406
00:14:54,880 --> 00:15:01,760
really make those accessible uh i can

407
00:14:59,040 --> 00:15:03,839
relate to that having a system that we

408
00:15:01,760 --> 00:15:05,839
have archival records in our trim and

409
00:15:03,839 --> 00:15:08,480
content manager system and then we've

410
00:15:05,839 --> 00:15:11,199
got the library alma primo system

411
00:15:08,480 --> 00:15:13,040
separate separated out so it's a sort of

412
00:15:11,199 --> 00:15:14,720
perennial problem of how to bring those

413
00:15:13,040 --> 00:15:17,839
together and make them

414
00:15:14,720 --> 00:15:20,079
more easily accessible to our users and

415
00:15:17,839 --> 00:15:21,440
i know um the

416
00:15:20,079 --> 00:15:22,880
state library of queensland have done

417
00:15:21,440 --> 00:15:24,959
some really interesting things to bring

418
00:15:22,880 --> 00:15:27,360
their archives and library systems

419
00:15:24,959 --> 00:15:30,480
together so that one in particular

420
00:15:27,360 --> 00:15:30,480
struck a chord with me

421
00:15:30,720 --> 00:15:34,800
okay so um

422
00:15:33,040 --> 00:15:36,240
i'm going to skip across my areas of

423
00:15:34,800 --> 00:15:38,000
interest because we're running short of

424
00:15:36,240 --> 00:15:39,040
time but um

425
00:15:38,000 --> 00:15:41,199
the

426
00:15:39,040 --> 00:15:43,519
there is a very clear sentiment amongst

427
00:15:41,199 --> 00:15:46,240
the group of coordinators to really

428
00:15:43,519 --> 00:15:48,320
support teaching and learning and there

429
00:15:46,240 --> 00:15:50,399
was some working group activity

430
00:15:48,320 --> 00:15:52,480
last year to try and understand how to

431
00:15:50,399 --> 00:15:54,639
bring people into that process of

432
00:15:52,480 --> 00:15:57,360
learning about ai and

433
00:15:54,639 --> 00:15:59,519
perhaps playing with ai technologies

434
00:15:57,360 --> 00:16:01,920
and that was um just a bunch of people

435
00:15:59,519 --> 00:16:03,680
who decided to come together and work on

436
00:16:01,920 --> 00:16:04,480
that but we managed to forge a bit of a

437
00:16:03,680 --> 00:16:07,199
link

438
00:16:04,480 --> 00:16:09,199
with the wider community

439
00:16:07,199 --> 00:16:11,519
who are doing uh teaching and learning

440
00:16:09,199 --> 00:16:13,440
work and i've got a link there to one of

441
00:16:11,519 --> 00:16:15,920
their outputs because they really went

442
00:16:13,440 --> 00:16:17,759
for it and it's a it looks like a

443
00:16:15,920 --> 00:16:20,320
terrific handbook

444
00:16:17,759 --> 00:16:22,880
for people to go through but i think

445
00:16:20,320 --> 00:16:25,600
this really was um kind of an underlying

446
00:16:22,880 --> 00:16:28,000
motivation was for many people to expand

447
00:16:25,600 --> 00:16:30,160
their understanding and to try and lift

448
00:16:28,000 --> 00:16:33,440
up others as they're trying to kind of

449
00:16:30,160 --> 00:16:34,839
find their way into this technology

450
00:16:33,440 --> 00:16:38,079
so

451
00:16:34,839 --> 00:16:40,240
uh last but not least

452
00:16:38,079 --> 00:16:42,399
what are we up to next um so catherine

453
00:16:40,240 --> 00:16:44,000
i'll throw the ball to you just quickly

454
00:16:42,399 --> 00:16:46,800
well mine's an easy one because all the

455
00:16:44,000 --> 00:16:49,199
details are there on screen and people

456
00:16:46,800 --> 00:16:51,519
can message ingrid that's ingrid's email

457
00:16:49,199 --> 00:16:54,880
address we've got a website that ai for

458
00:16:51,519 --> 00:16:56,959
lamb.org is the broader uh global

459
00:16:54,880 --> 00:16:57,920
website so we are connected into the

460
00:16:56,959 --> 00:17:00,720
global

461
00:16:57,920 --> 00:17:02,639
ai for lamb group but we have

462
00:17:00,720 --> 00:17:05,120
a slack channel as well as a google

463
00:17:02,639 --> 00:17:07,120
drive that is open as well so you all

464
00:17:05,120 --> 00:17:10,480
are welcome and encouraged to reach out

465
00:17:07,120 --> 00:17:14,720
to us and join us in our quest to talk

466
00:17:10,480 --> 00:17:16,160
about all things ai yeah nice one um so

467
00:17:14,720 --> 00:17:18,640
we're looking to have some more events

468
00:17:16,160 --> 00:17:19,919
and talks and alexis tyndall has told me

469
00:17:18,640 --> 00:17:21,600
today that she's definitely up for

470
00:17:19,919 --> 00:17:23,600
driving ahead with that and i think

471
00:17:21,600 --> 00:17:26,400
we're going to have a planning meeting

472
00:17:23,600 --> 00:17:26,400
in february

473
00:17:26,880 --> 00:17:29,679
between

474
00:17:28,000 --> 00:17:30,880
australia and new zealand because we've

475
00:17:29,679 --> 00:17:32,799
got some great colleagues from the

476
00:17:30,880 --> 00:17:34,240
national library of new zealand working

477
00:17:32,799 --> 00:17:35,760
with us

478
00:17:34,240 --> 00:17:37,440
we're looking for more cross-sector

479
00:17:35,760 --> 00:17:39,280
collaborations we had a nice

480
00:17:37,440 --> 00:17:41,600
collaboration with nasa and also with

481
00:17:39,280 --> 00:17:44,640
vala last year just to make sure that we

482
00:17:41,600 --> 00:17:47,200
leverage what we're doing

483
00:17:44,640 --> 00:17:50,480
we've been putting forward this idea of

484
00:17:47,200 --> 00:17:54,240
a big data global challenge and anyone's

485
00:17:50,480 --> 00:17:56,000
welcome to talk to me about that um and

486
00:17:54,240 --> 00:17:57,440
we're looking to try and see

487
00:17:56,000 --> 00:17:59,039
how we can work with our peers on the

488
00:17:57,440 --> 00:18:02,240
other side of the world i've just had an

489
00:17:59,039 --> 00:18:03,840
email from tom cromer at stanford and

490
00:18:02,240 --> 00:18:06,000
svenar

491
00:18:03,840 --> 00:18:07,679
from the norwegian national library to

492
00:18:06,000 --> 00:18:09,600
see how we can work with each other

493
00:18:07,679 --> 00:18:11,120
because they had a terrific fantastic

494
00:18:09,600 --> 00:18:13,200
futures conference

495
00:18:11,120 --> 00:18:14,799
on the other side of the world last year

496
00:18:13,200 --> 00:18:16,640
in paris and of course none of us could

497
00:18:14,799 --> 00:18:18,240
go so

498
00:18:16,640 --> 00:18:20,799
they're really open and wonderful

499
00:18:18,240 --> 00:18:22,799
colleagues are to be working with

500
00:18:20,799 --> 00:18:23,600
and just to give you a bit of a flavor

501
00:18:22,799 --> 00:18:24,880
of

502
00:18:23,600 --> 00:18:26,480
what the other

503
00:18:24,880 --> 00:18:28,559
people on the other side of the world

504
00:18:26,480 --> 00:18:31,520
were thinking about when they talked

505
00:18:28,559 --> 00:18:33,360
about a global data set amy abby potter

506
00:18:31,520 --> 00:18:34,799
sorry from the library of congress

507
00:18:33,360 --> 00:18:37,679
took this idea

508
00:18:34,799 --> 00:18:39,520
that i put it forward to that conference

509
00:18:37,679 --> 00:18:40,640
to think about what a global data set

510
00:18:39,520 --> 00:18:41,760
might be

511
00:18:40,640 --> 00:18:43,760
and

512
00:18:41,760 --> 00:18:47,039
why we might want to do something like

513
00:18:43,760 --> 00:18:47,039
that and um

514
00:18:47,200 --> 00:18:50,880
these are the kind of themes that came

515
00:18:48,799 --> 00:18:51,760
out through the consultation

516
00:18:50,880 --> 00:18:54,000
but i'll

517
00:18:51,760 --> 00:18:55,760
put a pin in it there and thank you all

518
00:18:54,000 --> 00:18:57,360
for your attention and thank you uh

519
00:18:55,760 --> 00:19:00,640
catherine for jumping in with me at the

520
00:18:57,360 --> 00:19:02,160
last minute and um yeah uh

521
00:19:00,640 --> 00:19:04,320
let's hear what your questions are

522
00:19:02,160 --> 00:19:05,840
thanks thanks everyone

523
00:19:04,320 --> 00:19:07,679
thanks

524
00:19:05,840 --> 00:19:09,600
thank you both that was fantastic and i

525
00:19:07,679 --> 00:19:11,679
love that cats were in the in the word

526
00:19:09,600 --> 00:19:13,120
cloud there so

527
00:19:11,679 --> 00:19:15,520
it was the first thing i noticed was

528
00:19:13,120 --> 00:19:18,000
cats was there um so we've got a couple

529
00:19:15,520 --> 00:19:19,840
of questions for you uh what are the key

530
00:19:18,000 --> 00:19:21,360
challenges in getting grassroots

531
00:19:19,840 --> 00:19:22,640
organizations up and running in this

532
00:19:21,360 --> 00:19:25,039
space

533
00:19:22,640 --> 00:19:27,520
i think well from my perspective it was

534
00:19:25,039 --> 00:19:28,640
about taking a risk um

535
00:19:27,520 --> 00:19:32,080
i sat

536
00:19:28,640 --> 00:19:34,400
in 2020 after being to that conference

537
00:19:32,080 --> 00:19:36,080
um and i went

538
00:19:34,400 --> 00:19:37,840
self-funded went overseas to the

539
00:19:36,080 --> 00:19:40,160
conference

540
00:19:37,840 --> 00:19:42,000
at stanford had an amazing time and

541
00:19:40,160 --> 00:19:44,000
there was one person from australia

542
00:19:42,000 --> 00:19:46,400
there

543
00:19:44,000 --> 00:19:48,720
sarah graham from university of sydney i

544
00:19:46,400 --> 00:19:51,200
was so thrilled and then i thought i

545
00:19:48,720 --> 00:19:53,600
can't bear the idea of not having an

546
00:19:51,200 --> 00:19:55,440
opportunity to get with other people so

547
00:19:53,600 --> 00:19:56,400
i just took a punt

548
00:19:55,440 --> 00:19:58,160
and

549
00:19:56,400 --> 00:20:01,200
i think for me that's the biggest

550
00:19:58,160 --> 00:20:01,200
challenge is actually

551
00:20:01,760 --> 00:20:05,600
creating a space for people

552
00:20:03,919 --> 00:20:08,080
to do what they think

553
00:20:05,600 --> 00:20:08,880
is a good thing to do and to help each

554
00:20:08,080 --> 00:20:09,679
other

555
00:20:08,880 --> 00:20:12,400
and

556
00:20:09,679 --> 00:20:13,840
not to put too much structure around it

557
00:20:12,400 --> 00:20:16,480
and

558
00:20:13,840 --> 00:20:19,840
to support people to come and go

559
00:20:16,480 --> 00:20:21,840
and in particular through this

560
00:20:19,840 --> 00:20:24,400
because people's lives have been going

561
00:20:21,840 --> 00:20:27,440
up and down and people have been amazing

562
00:20:24,400 --> 00:20:29,039
but you know i'm i'm comfortable with i

563
00:20:27,440 --> 00:20:31,679
think a reasonably high level of

564
00:20:29,039 --> 00:20:33,440
uncertainty so that that's my answer

565
00:20:31,679 --> 00:20:35,360
what about you catherine yeah i was

566
00:20:33,440 --> 00:20:37,440
going to say the same uh

567
00:20:35,360 --> 00:20:38,720
and that particularly this group has

568
00:20:37,440 --> 00:20:40,880
been

569
00:20:38,720 --> 00:20:43,120
quite compared to say other groups you

570
00:20:40,880 --> 00:20:46,240
feel the weight of obligation to be

571
00:20:43,120 --> 00:20:48,320
attending and to you know do so many

572
00:20:46,240 --> 00:20:50,240
things for say professional societies or

573
00:20:48,320 --> 00:20:53,679
other other groups that you attend

574
00:20:50,240 --> 00:20:56,159
whereas ingrid is the leader um and just

575
00:20:53,679 --> 00:20:58,080
us as a cultural you know the culture

576
00:20:56,159 --> 00:20:59,840
that we have very supportive of each

577
00:20:58,080 --> 00:21:01,600
other for that the people going in and

578
00:20:59,840 --> 00:21:03,679
out so that is the difference that i

579
00:21:01,600 --> 00:21:06,000
feel has really made a difference to and

580
00:21:03,679 --> 00:21:07,120
encouraged people to come along and have

581
00:21:06,000 --> 00:21:09,280
a go

582
00:21:07,120 --> 00:21:12,320
yeah definitely because sometimes people

583
00:21:09,280 --> 00:21:14,240
have the best ideas all they need is

584
00:21:12,320 --> 00:21:15,360
someone to be a little engine behind

585
00:21:14,240 --> 00:21:17,600
them

586
00:21:15,360 --> 00:21:19,600
and we can all do that for everybody for

587
00:21:17,600 --> 00:21:22,159
each other

588
00:21:19,600 --> 00:21:24,799
okay uh next question is from donna

589
00:21:22,159 --> 00:21:28,159
benjamin who's in the chat um we have an

590
00:21:24,799 --> 00:21:30,960
innovation program at red hat around ai

591
00:21:28,159 --> 00:21:32,720
and ml uh around the use cases i'd be

592
00:21:30,960 --> 00:21:34,559
interested in exploring uh if there's

593
00:21:32,720 --> 00:21:36,799
any opportunities for us to collaborate

594
00:21:34,559 --> 00:21:38,960
with aiphalm uh on some kind of

595
00:21:36,799 --> 00:21:40,159
experiment uh how could we start this

596
00:21:38,960 --> 00:21:41,600
conversation

597
00:21:40,159 --> 00:21:44,320
oh just um

598
00:21:41,600 --> 00:21:48,159
there's my email address

599
00:21:44,320 --> 00:21:49,919
just uh contact uh anytime

600
00:21:48,159 --> 00:21:52,000
that's kind of why we've jumped into

601
00:21:49,919 --> 00:21:53,440
these forums because we're looking

602
00:21:52,000 --> 00:21:55,200
either to be

603
00:21:53,440 --> 00:21:57,520
partners or to help with

604
00:21:55,200 --> 00:21:59,039
broken partnerships

605
00:21:57,520 --> 00:22:02,880
yep

606
00:21:59,039 --> 00:22:04,640
and the next one is

607
00:22:02,880 --> 00:22:06,799
for extending into education have you

608
00:22:04,640 --> 00:22:09,679
thought about reaching out to it

609
00:22:06,799 --> 00:22:10,960
teachers associations

610
00:22:09,679 --> 00:22:13,679
uh

611
00:22:10,960 --> 00:22:16,480
i don't i'm not personally catherine you

612
00:22:13,679 --> 00:22:18,320
we've mainly um reached out to the glam

613
00:22:16,480 --> 00:22:20,799
sector so that could be something we can

614
00:22:18,320 --> 00:22:23,600
put on our to-do list for this year

615
00:22:20,799 --> 00:22:27,520
yeah or whoever asked that question um

616
00:22:23,600 --> 00:22:30,159
you could come along and drive it

617
00:22:27,520 --> 00:22:32,480
um how can we get involved and are there

618
00:22:30,159 --> 00:22:35,120
any prerequisites

619
00:22:32,480 --> 00:22:36,400
no no prerequisites just put your hand

620
00:22:35,120 --> 00:22:38,640
up

621
00:22:36,400 --> 00:22:40,720
and uh it's really great if you can jump

622
00:22:38,640 --> 00:22:43,440
in the slack space uh and if you'd like

623
00:22:40,720 --> 00:22:46,159
to coordinate just get in touch

624
00:22:43,440 --> 00:22:48,799
i'll be delighted to announce that sarah

625
00:22:46,159 --> 00:22:51,520
jermaine has put her hand up um and i've

626
00:22:48,799 --> 00:22:55,400
already got a little list of things that

627
00:22:51,520 --> 00:22:55,400
she might like to do

628
00:22:57,120 --> 00:23:03,520
and one last question um have you seen

629
00:23:00,559 --> 00:23:05,760
ai or ml being used in any hackathons

630
00:23:03,520 --> 00:23:09,120
using information archives at all and do

631
00:23:05,760 --> 00:23:10,720
you see that as a positive or a negative

632
00:23:09,120 --> 00:23:14,000
uh

633
00:23:10,720 --> 00:23:16,640
well not me personally i haven't seen

634
00:23:14,000 --> 00:23:19,039
hacking i've been to a workshop i guess

635
00:23:16,640 --> 00:23:20,559
i went to a workshop hosted by

636
00:23:19,039 --> 00:23:22,640
colleagues at the norwegian national

637
00:23:20,559 --> 00:23:25,039
library just to

638
00:23:22,640 --> 00:23:27,760
give tensorflow a bit of a run over with

639
00:23:25,039 --> 00:23:29,360
a bunch of images and that was really

640
00:23:27,760 --> 00:23:31,440
interesting because

641
00:23:29,360 --> 00:23:32,720
they've got computer scientists in their

642
00:23:31,440 --> 00:23:33,600
library team

643
00:23:32,720 --> 00:23:35,200
and

644
00:23:33,600 --> 00:23:37,440
they're really

645
00:23:35,200 --> 00:23:39,679
working hard to unlock their collections

646
00:23:37,440 --> 00:23:41,039
and in particular around norwegian

647
00:23:39,679 --> 00:23:44,559
language because

648
00:23:41,039 --> 00:23:44,559
many of the um

649
00:23:44,799 --> 00:23:50,400
i guess data sets and technologies are

650
00:23:47,679 --> 00:23:53,039
built heavily around english and they

651
00:23:50,400 --> 00:23:53,840
need norwegian they don't need english

652
00:23:53,039 --> 00:23:56,240
so

653
00:23:53,840 --> 00:23:58,640
i think there are really productive

654
00:23:56,240 --> 00:24:01,120
reasons to get in and have a hack and to

655
00:23:58,640 --> 00:24:03,120
get people around a problem what about

656
00:24:01,120 --> 00:24:05,600
you catherine i've been to one in a

657
00:24:03,120 --> 00:24:08,000
european one through the there's an open

658
00:24:05,600 --> 00:24:10,720
glam forum that i found it out through

659
00:24:08,000 --> 00:24:12,880
there and again the time

660
00:24:10,720 --> 00:24:15,039
it's very northern centric so the time

661
00:24:12,880 --> 00:24:16,880
wasn't very australian friendly so we

662
00:24:15,039 --> 00:24:18,559
find that that's you know a bit of a

663
00:24:16,880 --> 00:24:20,799
hump to get everybody together from

664
00:24:18,559 --> 00:24:23,679
across the globe at the right time frank

665
00:24:20,799 --> 00:24:26,000
um so i was just willing to stay up and

666
00:24:23,679 --> 00:24:28,159
see what that was all about and in terms

667
00:24:26,000 --> 00:24:29,360
of any downsides well there was a call

668
00:24:28,159 --> 00:24:32,799
out for

669
00:24:29,360 --> 00:24:35,760
archival collections to be involved so

670
00:24:32,799 --> 00:24:38,240
uh people were willingly had collections

671
00:24:35,760 --> 00:24:40,799
that they wanted to be hacked

672
00:24:38,240 --> 00:24:42,000
and the risk assessment i guess was left

673
00:24:40,799 --> 00:24:43,919
with those

674
00:24:42,000 --> 00:24:45,919
archival institutions to put their hand

675
00:24:43,919 --> 00:24:49,120
up with i think they were typically

676
00:24:45,919 --> 00:24:50,640
already open and published archival

677
00:24:49,120 --> 00:24:54,080
content so

678
00:24:50,640 --> 00:24:56,559
relatively risk-free in terms of hacking

679
00:24:54,080 --> 00:24:58,720
yeah but i guess that the question means

680
00:24:56,559 --> 00:25:00,880
that there is a gap here for us

681
00:24:58,720 --> 00:25:02,880
given your answer catherine there's a

682
00:25:00,880 --> 00:25:05,039
gap here for us to look at

683
00:25:02,880 --> 00:25:06,400
whether someone wants to come forward

684
00:25:05,039 --> 00:25:09,039
and and

685
00:25:06,400 --> 00:25:11,679
work with others to get a hack up with

686
00:25:09,039 --> 00:25:13,279
cultural collections we had a great talk

687
00:25:11,679 --> 00:25:15,760
earlier today

688
00:25:13,279 --> 00:25:17,039
because acme have made their api openly

689
00:25:15,760 --> 00:25:17,760
available

690
00:25:17,039 --> 00:25:19,279
and

691
00:25:17,760 --> 00:25:22,480
have put some jupiter notebooks out

692
00:25:19,279 --> 00:25:24,880
there on co-lab so i do think it's ripe

693
00:25:22,480 --> 00:25:27,039
for the picking

694
00:25:24,880 --> 00:25:28,480
oh i'll help out a little bit but there

695
00:25:27,039 --> 00:25:29,679
might be other people who might want to

696
00:25:28,480 --> 00:25:32,480
jump up

697
00:25:29,679 --> 00:25:32,480
and pitch in

698
00:25:32,640 --> 00:25:35,600
that's wonderful thank you so much both

699
00:25:34,720 --> 00:25:39,760
for

700
00:25:35,600 --> 00:25:42,559
for speaking to us today um at 4 20

701
00:25:39,760 --> 00:25:45,440
next up we've got moving to self-managed

702
00:25:42,559 --> 00:25:48,159
open access publishing uh from jesse lim

703
00:25:45,440 --> 00:25:50,799
and that will be a fantastic talk i'm

704
00:25:48,159 --> 00:25:53,039
sure so thank you both again and um

705
00:25:50,799 --> 00:25:56,960
hopefully everyone joins ai for lamb now

706
00:25:53,039 --> 00:26:01,080
that i have oh please do join us yeah

707
00:25:56,960 --> 00:26:01,080
thanks thank you