[globaloutlookDH-l] [Redhd] Fwd: T-AP Digging into Data Challenge and Global Outlook DH

igalina igalina at unam.mx
Thu Jan 21 15:28:27 MST 2016


¡Estas son excelentes noticias!  Muchas gracias por compartir. 

Fantastic news. Thanks for sharing. I see that the next couple of months is for building up teams. Open to collaboration from Mexico. :) 

Best,
Isabel

----------
Dra. Isabel Galina Russell
Instituto de Investigaciones Bibliográficas,
Universidad Nacional Autónoma de México (UNAM)
igalina at unam.mx
@igalina

________________________________________
De: Redhd <redhd-bounces at lists.humanidadesdigitales.net> en nombre de Ernesto Priego <efpriego at gmail.com>
Enviado: jueves, 21 de enero de 2016 03:54 a. m.
Para: Lista de distribución de la Red de Humanidades Digitales (RedHD)
Cc: Ahdig; A list for participants in the ADHO DH Global Outlook Community
Asunto: Re: [Redhd] Fwd: T-AP Digging into Data Challenge and Global    Outlook DH

This is excellent news! As someone on the 'other' side of the Atlantic
(UK in this case), I'm definitely open to collaborations if anyone is
interested...

Exciting times... thanks Alex for updating.

Cheers

Ernesto
Dr Ernesto Priego

@ernestopriego
https://epriego.wordpress.com/
http://www.comicsgrid.com/
Subscribe to the Comics Grid Newsletter: http://eepurl.com/iOYAj




On Wed, Jan 20, 2016 at 8:50 PM, Alex Gil <colibri.alex at gmail.com> wrote:
> Dear all, good news from the NEH. They're new Digging into Data Challenge
> has expanded to now include Argentina, Brazil and Mexico.
>
> Queridos todos, uma boa notícia do NEH. Eles são novo Desafio Cavando de
> Dados agora incluem Argentina, Brasil e México. Deixe-me saber se você vai
> gostar de saber mais, ou se você precisar de ajuda para a aplicação.
>
> Queridos, buenas noticias. La NEH ofrece un nuevo premio para proyectos en
> minado de datos para las humanidades. Déjenme saber si necesitan ayuda con
> la aplicación.
>
>
> ---------- Forwarded message ----------
> From: Bobley, Brett <bbobley at neh.gov>
> Date: Wed, Jan 20, 2016 at 3:41 PM
> Subject: T-AP Digging into Data Challenge and Global Outlook DH
> To: Alex Gil <colibri.alex at gmail.com>
>
>
> Dear Alex,
>
>
>
> I write to engage you and your Global Outlook DH colleagues on the new T-AP
> Digging into Data Challenge.
>
>
>
> I’m pleased to say that we have 16 funders from 11 nations all participating
> in DiD. This includes countries from South America, North America, and
> Europe. Many of these countries are ones I’ve never worked with before and
> I’m keen to learn what kinds of terrific research their scholars are doing!
> I’m also pleased that the countries represent a wide variety of languages
> and cultures. Currently, some of these countries already fund a fair amount
> of digital humanities and digital social science research, while for others,
> this is still a very new kind of work.
>
>
>
> So I think that global outreach will be really important. I very much want
> to get researchers to form teams from across the spectrum of countries. I’d
> love to see some unique partnerships we haven’t seen before, involving
> people and languages we don’t always see in DH or DSS projects.
>
>
>
> So anything you can do to help get the word out or facilitate teambuilding
> would be much appreciated!
>
>
>
> Here’s a quick list of the countries/funders:
>
>
>
> Argentina: MINCyT
> Brazil: FAPESP
> Canada: SSHRC, NSERC, FRQ.
> Finland: AKA
> France: ANR
> Germany: DFG
> Mexico: CONACYT
> Netherlands: NWO
> Portugal: FCT (to be confirmed)
> UK: AHRC, ESRC
> US: NEH, NSF, IMLS
>
>
>
> Here’s a quick list of the national languages:
>
>
>
> Spanish
>
> Portuguese
>
> English
>
> French
>
> Finnish
>
> German
>
> Dutch
>
>
>
> Notes on Applying
>
>
>
> People apply in “teams.” A "team" is a group of principal investigators from
> at least three of the participating countries. Because this is a
> "trans-Atlantic" grant program, each team must have PIs on both sides of the
> Atlantic.
>
>
>
> Notes on Research Topics
>
>
>
> Open to any research questions in the humanities and/or social sciences.
> However, the idea is that you have to be using computational
> methods/approaches at the large scale for your research.  (And large scale
> doesn’t mean big data in the scientific sense; rather it means large for the
> discipline that you are working in.)
>
>
>
> For further details, please see the website!
>
>
>
> Thanks,
>
>
>
> Brett
>
>
>
>
>
> _______________________________________________
> Redhd mailing list
> Redhd at lists.humanidadesdigitales.net
> http://lists.humanidadesdigitales.net/listinfo.cgi/redhd-humanidadesdigitales.net
>
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