Researcher Guide to Writing a Climate Justice Oriented Data Management Plan

The Digital Humanities Climate Coalition, which began as an initiative between the SHL Experimental Ecologies group, and working groups within Edinburgh, Southampton, and the Turing Institute, has just launched the Researcher Guide to Writing a Climate Justice Oriented Data Management Plan.

This should be of interest to anyone who’s considering applying for UKRI funding (or any funding), or who is already running a project. It’s a slinky little two page guide exploring how we can reframe data management within research projects, to put appropriate emphasis on climate justice. It emphasises what can be done now, within existing frameworks. In an appendix, it also explores how the DMP section might transform in the future.

A researcher Guide to Writing a Climate Justice Oriented Data Management Plan — Get it here!

We expect to iterate fairly rapidly, and welcome all feedback and suggestions, as well as potential deeper collaboration. If you’d like to signal boost on Twitter, here’s James’s tweet launching the guide.

The Digital Humanities Climate Coalition

After some wonderfully galvanising encounters in late 2021, Digital Humanities Climate Coalition is now officially a thing. It’s a collaborative and cross-institutional initiative focused on what DH researchers (broadly construed) can do in times of climate crisis and climate transition, especially understanding and improving the environmental impact of DH research. Participants are based at HE institutions and DH Centres across the UK, Ireland, and Northern Europe. There are three working groups doing things over the course of 2022, plus a reading group. If you’d like to find out more or get involved, you can do so here.

Communicating Climate Risk

Save the date: 1 October, 12:30-17:00

Communicating Climate Risk workshop

If the goal of climate communication is to compel decision-makers to act, then for too long our methods haven’t worked. Many desperately want to tackle the risks posed by climate change, but are confounded by mountains of complex, technical data.

So how can academics present climate risk in ways that are meaningful and effective for this audience? How can they ensure communication is part of their thinking from the outset, not just at the end of a research project? Who exactly are the end-users of climate risk research, and what are their needs?

This online afternoon workshop will be jointly delivered by UCL’s Climate Action Unit and the Analysis under Uncertainty for Decision-Makers network (AU4DM). We will draw on interdisciplinary expertise to equip participants with the critical skills to communicate on climate risk.

Speakers will share insights across three broad topics: why risk communication is difficult, what decision-makers want (and need), and how to present climate risk information. A final, fourth session will invite participants to co-design communication tools for the future.

We need the big stories, the stories that engage and inspire.

At the same time, we also need tools to present more niche information.

And throughout, we also need to be always conscious of the politics of climate chance communication: the ways our communications shape whose voices are heard, and whose decisions count.

Speakers and facilitators:

Martine Barons (Warwick)
Mark Workman (Imperial)
Polina Levontin (Imperial)
Jo Lindsay Walton (Sussex)
Freya Roberts (UCL)
Kris de Meyer (UCL)
Lucy Hubble Rose (UCL)

This is an open workshop that will be especially relevant to climate and environmental scientists, and others whose work involves communicating or relying on scientific knowledge about climate and the environment. It is part of the COP26 Universities Network’s climate risk conference.

The Chain

The Chain has just launched as a series of interlinked reflections from theorists, artists, activists, and others of the Intersections: Feminism, Technology and Digital Humanities (IFTe) network and beyond. Each link in the chain responds in some way to the previous entry, and offers suggestions for entries to follow. Are algorithmic voices gendered? Are algorithmic voices friendly? Who does the work? Can the subaltern do a TED talk? How can we reimagine ourselves in a zoomified world? Start exploring these questions, and others.

We’re launching the Chain as a 3-month writing project that responds to contemporary circumstances where we can’t meet easily, where we are zoom-swamped, and zoombified, where glancing interactions are rarely possible. We are missing times and moments when ‘breaking out’ isn’t a zoom function, when serendipity doesn’t have to be programmed, when ‘walk throughs’ are in physical space, and where interventions follow on. We are missing the kinds of entangled modes of thinking and doing this kind of flow more easily enabled; writing about media art, coding that speaks to theory, practice that finds articulation in words.

This Chain was funded by UKRI-AHRC and the Irish Research Council under the ‘UK-Ireland Collaboration in the Digital Humanities Networking Call’(grant numbers AH/V00199X/1 and IRC/V00199X/1).

“A (not ethically unproblematic) zombie resurrection of George”

SHL’s James Baker has a fascinating blog post about his use of AI to explore the curatorial voice of historian Mary Dorothy George.

I’ve written this post in the hope that it’ll help others with similar interests take a similar approach to automated text generation, not least as one of my challenges right now is how to read the outputs of simGeorge, how to grapple intellectually as a historian with fabricated catalogue entries in the style of Mary Dorothy George.

Elsewhere: Curatorial Voice: legacy descriptions of art objects and their contemporary use

Data for Black Lives

Just a timely signal boost for Data for Black Lives:

Data for Black Lives is a movement of activists, organizers, and mathematicians committed to the mission of using data science to create concrete and measurable change in the lives of Black people. Since the advent of computing, big data and algorithms have penetrated virtually every aspect of our social and economic lives. These new data systems have tremendous potential to empower communities of color. Tools like statistical modeling, data visualization, and crowd-sourcing, in the right hands, are powerful instruments for fighting bias, building progressive movements, and promoting civic engagement.

But history tells a different story, one in which data is too often wielded as an instrument of oppression, reinforcing inequality and perpetuating injustice. Redlining was a data-driven enterprise that resulted in the systematic exclusion of Black communities from key financial services. More recent trends like predictive policing, risk-based sentencing, and predatory lending are troubling variations on the same theme. Today, discrimination is a high-tech enterprise.

See also: