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Using photography in research

“Photographs furnish evidence. Something we hear about, but doubt, seems proven when we’re shown a photograph of it.”
Susan Sontag (1977). On Photography.

  

One of the first photographs ever taken was in 1826 from the upstairs window of a house in eastern France. You can just about make out the online of some houses in the distance.

 


Figure 1: Original 1826 photograph 'View from the Window at Le Gras'Since then, photographic techniques and technologies have developed enormously. The photo below was the result of around eight hours of exposure, to make an impression on a metal plate coated with a type of asphalt.

 

Since then, photographic techniques and technologies have developed enormously. The photo below was the result of around eight hours of exposure, to make an impression on a metal plate coated with a type of asphalt. 


Figure 2: Manually enhanced version of the same photograph

 

Today, most of us carry a camera around with us (together with a phone, Internet access and much more), which can take dozens of photographs or films every minute and can store literally tens of thousands of images. Even with a very basic non-smartphone (my trusted Nokia C2!), I was able to take three photos in very quick succession of oranges being distributed from a wholesaler to smaller fruit sellers at a market in Cochabamba, Bolivia:


Figure 3: Wholesale distribution of oranges to re-seller in a market in Cochabamba, Bolivia (2017)

 

The ease of taking photographs and videos has led to an explosion of image-making. The fact that it is so easy to take photos means that people take many of them. But how often do we organise them, filter them, group them, curate them? And, when it comes to fieldwork, what are we actually taking photos for?

 

We know that fieldworkers and researchers will regularly take photos while in the field. Usually we do this to remind ourselves of where we travelled (many cameras today have an inbuilt GPS for geotagging), what we saw and who we talked to. We collect photos to refresh our memories and share them with our colleagues. But we rarely use photographs in a systematic and considered way to improve the quality of our research process as a whole. For instance, we don’t really use photographs as part of data management or analysis.

 

In the newly published resource Using photography in research, I outline a list of some of the ways that photography can be used to collect data (note that I use the term photography to include both still images and video). The longer list is available in the document itself, but here I want to give you an overview of them and show some examples.

 

Photography can be used to record many kinds of information (data)

1. Biophysical elements: land-use patterns, landscapes, crop conditions, etc.


Figure 4: View of landscape (and land-use) around Naubug village, Chimborazo, Ecuador (2018). Even a blurry photograph can be useful at giving a basic overview of how land is used in an area, what crops are grown at different times of year, and what the weather is like (foggy!).

 

2. Material objects: items in a room, houses, documents, posters, prices etc.


Figure 5: Banner for an agroecology market in Cochabamba, Bolivia (2017). Posters can contain a lot of information including names of places, dates, phone numbers, and how particular events are talked about and advertised.

 

3. Social interactions: how people interact in space, how a meeting is arranged, body language, gender and power dynamics, etc.

 

Figure 6: A meeting with researchers/field technicians and farmers in a community in Saquisali, Ecuador. Very noticeable how most of the women are seated at the back and the men are standing, many of them close to the information panels at the front, one person is even taking a photograph of it. Photos like these can very quickly provide an insight into gender dynamics and spatial arrangements that occur during meetings.

 

4. Values/perceptions (in the case of participatory photography): answers to abstract questions about what people value, as well as memories triggered by old photos.

Figure 7: Photograph produced by a participant in a photo-elicitation research project when prompted to photograph 'significant landscapes' [From Beilin, R. (2005) Photo-Elicitation and the Agricultural Landscape: ‘Seeing’ and ‘Telling’ about Farming, Community and Place, Visual Studies, 20(1), pp. 56–68.]

 

5. Sequences/time: different steps of a process, how something changes over time, etc.


Figure 8: Stages of peanut production - field visit, examining the quality in the field, industrial quality control, and value-added peanut snack production, Bolivia (2015)


So that’s a snapshot of some of the ways that photographs can be used in research. But what does it look like to actually use photographs in a project in a deliberate way, to improve the quality of the research process or data?

 

A research example: using photographs to explain data anomalies

One project in Tanzania used photographs to help explain some data anomalies.

 

The study – which examined below ground biodiversity in Tanzania - took samples at several hundred points. At each point, researchers were measuring soil fauna (earthworms, beetles, termites etc) and soil characteristics (texture, N content, pH, etc). In addition, they took a photo of every sampling point… that is; a photo of the site where soil was sampled.

 

When looking at the resulting quantitative data, there was clearly huge variation (e.g. some plots had no earthworms while others had hundreds) but, contrary to expectations, this was not associated with the soil characteristics measured. This led to the research team brainstorming on some possible explanatory factors. They suggested soil moisture, cultivation and the presence of trees might be associated with different levels of soil fauna.

 

All these could be assessed from the photos they had taken. Hence, they looked at the photo of each sample point and developed a scoring system for it: (A) Whether the photo indicated a wet or moist plot; (B) Whether it was under a tree or not; or (C) Whether the plot was cultivated. They then added this data set to the quantitative data ready for statistical analysis.

 

This is an extreme example of using photographs in that a nearly complete data set could be generated from photos and the data here proved useful: those new indicators did indeed help explain some patterns.

 

Conclusion

There are so many ways that photography (both still and moving image) can be used to enhance the research process. Not only can images create a richer and more detailed understanding of the research site and provide context for the data we collect, but they can also add layers of important data that helps us answer our research questions more fully.

 

Have you used photography in your research project? If so, was this intentional and did it contribute to the data analysis? Do please share your experiences ?

Ian Fitzpatrick
Author: Ian Fitzpatrick

Ian is an anthropologist and ethnobotanist with a background in food and farming research, policy and campaigning. He is interested in mixed research methods and working with smallholder farmers. He has worked for the Sustainable Food Trust, Global Justice Now, Sustain, the Food Ethics Council and the New Economics Foundation.

1 comments for "Using photography in research":

Nicolas
Oct 28 2019
Nice post! I rarely think about pictures for easy/useful sources of data in our context, but your example shows that it is a mistake. I find it interesting to think of pictures - among other things - as a way to condense tons of relatively vague information, without having to decide what information to measure. A sort of backup data bag: If, while analysing some traditionally collected data, we find that there's a specific piece of information we didn't collect that would be greatly useful, one can dig into this condensed pack of information that are pictures, and check whether some related information is available.

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