Esri Education Conference 2016 – day 1

I’ve been working with Geographic Information Systems (GIS) since 1988. During the first 2 years, I wasn’t even aware that what we were doing was GIS – it was a mapping/inventory system that run on second generation PC (80286 processors) and was used to map facilities. Once I’ve discovered that this was a GIS, the next thing was ‘and ESRI Arc/Info is the software that you should check’. I’ve heard a lot over the years about the Esri User Conference, but haven’t had the chance to attend it, so this year I’m filling in the gap in my experience of the world of GIS. I’m giving a keynote at the Esri Education User Conference (EdUC), and I’ll attend some other parts of the general User Conference, and report on the experience.

The Education UC opened up with interest in creativity. Angie Lee, who opened the conference, noted her inspiration to the theme from learning about the makers movement and the growing interest in teaching students to code. She noted that many aspects of GIS encourage creativity: developing a story map or building an app. The opportunity that are emerging with new technologies  This is also true in science for the development of hypotheses and methodologies.

The two keynotes on the first day are by Dave Zaboskiwp-1466874989913.jpg
(Professional Artist / Creative Consultant) a former Senior Animator with Disney. Dave suggest that people have an innate ability of creativity. Creativity that is common at a young age but disappear later. Creativity is the willingness to do try things, it’s the courage to take risks. It’s the act of turning a thought into a thing, but we tend to get lost in the process. Resolute imagination is leading to magical results. The approach that he suggests is highlighting a spiral iteration instead of trying to move directly at a goal. There are five key attributes: first – believe in what they are doing. Have a clear narrative, and trying to reduce noise to increase the signal. You can think of things you have no control about them (A list),  issues that you can influence (B list), and a D+ list of things that make you lighter & happy, that make the ‘signal’ in life. The A list should not considered – someone else is going to take care of that and it will be their D+ list. The B list, can be solved at one thing a day, and then focus on the main issues. Then you can focus on the D+ list. Need to collaborate, and risk in a powerful way – when iterating you need to be confident that you can try again. Need to know that it might require throwing work that you have already done. Need to learn to trust you own abilities. Need to be able to allow instead of cognitive dissonant to have allow for information to have creative confusion until the information organise itself in a way that make sense. Completion is also important: acknowledge that people that were involved, analyse and celebrate. When you can declare that you have completed, you can move to the next challenge. Creators believe, iterate , collaborate, risk, and complete.
wp-1466981055360.jpgThe second keynote was by Dominique Evans-Bye, Science Teacher, Clark Magnet High School. She gave a detailed presentation on teaching GIS in high school through project based learning – including diving and operating ROVs. She’s working with low income students, many are from immigrants families. The first project in 2006 that the students done was to analyse sediments and heavy metals in the Los Angeles Harbour. The students collected samples and then analysed the level of contamination in them, and visualising the information on a GIS. In the next stage, they examined contamination in lobsters and they analysed the tissues, with mass spectrometers. They found high arsenic levels. The students gain confidence, and learn through iteration and use the online tutorials of ArcGIS Online and offline to develop skills and use them to analyse their information. The exploration of the problem lead to new questions and ways to represent the information. The students are doing also applications with the Esri collector app, to understand how the litter can end up in the ocean. Another project involved them analysing albatross  migration. Through classes on environmental GIS which was problem oriented and based on all the skills that they’ve gain in operating the research process itself. The students are collaborating, and see the process from projects where they’ve been involved in data collection to analysis. Students experience collaboration with scuba divers from NOAA and other bodies. The students won awards and scholarships as a result of their effort. There are major benefits for creating a creative learning environment with high school students and allowing them to develop their learning through problem solving.

In an afternoon session, I presented a talk that Patrick Rickles prepared, titled GIS and Citizen Science: Combining Open Source and Esri Technologies. The presentation focused on the way that some of the technologies that are developed in the ExCiteS group, such as GeoKey and Community Maps, can work with Esri technologies. The presentation open by explaining the needs and requirements – the interdisciplinarity of the group, and the type of areas that we work with. He then demonstrate, using the work of Challenging Risk project in Seattle, which looks at participatory methods for community preparedness to earthquake and fire. The context of the project mean that there can be 2 way data sharing – from the community to local government so they can see the information in ArcGIS Online, and information from the open data store can be shared on Community Maps. Several other examples for Esri technologies that are in use are shown.


Esri Education User Conference talk: Citizen Science & Geographical Technologies: creativity, learning, and engagement

The slides below are from my keynote talk at the Esri Education User Conference 2016. The conference focused on creativity and its relevant to education and the utilisation of GIS (especially Esri software) at different levels of education.

My talk explored the area of citizen science and extreme citizen science and the way geographical technologies contribute to creativity and learning. As I continue to assume that many of the audience don’t know about citizen science, I start with a review of the field as a way to contextualise what we, as a group, try to do.

[The talk is similar, in parts, to other talks that are captured here on my blog (workshop on theory, practice and policy, standards and recommendation for citizen science, or the current developments in ExCiteS). I’m updating the slides with lessons on what seem to work or not in previous talks. Social media is helpful for that – I can see which points people found most useful/meaningful!]

The talk starts with an historical perspective of citizen science, continue with the societal and technical trends that are at the basis of the current growth in citizen science. Having done that, I’m using a typology that looks at domain (academic discipline), technology, and engagement as a way to introduce examples of citizen science activities. I’m using the trailer for the TV series ‘the Crowd & the Cloud’ to recap the discussions on citizen science activities. I also mention the growth of practitioners community through the Citizen Science Associations.

Next, on this basis, I’m covering the concepts and practices of Extreme Citizen Science – what we do and how. I’m using examples from the work on noise, community resource management and earthquake and fire preparedness to demonstrate the concept.

The last part of the talk focuses specifically on creativity and learning from the Citizen Cyberlab project, and I explain the next steps that we will carry out in the Doing It Together Science project. I complete the talk by giving examples for activities that the audience can do by themselves.

Throughout the talk, I’m showing how Esri technologies are being used in citizen science. It wasn’t difficult to find examples – Esri’s GIS is used in BioBlitzes, Globe at Night, links to OpenStreetMap, and support the work that the ExCiteS group is doing. Survey123 and similar tools can be used to create novel projects and experiment with them. ArcGIS Online will be linked to GeoKey, to allow analysis of community mapping efforts. In short, there is plenty of scope for GIS as an integral part of citizen science projects.

Critical GIScientists, we need to talk about GIS and the oil industry…

The Guardian’s Political Science blog post by Alice Bell about the Memorandum of Understanding between the UK Natural Environment Research Council and Shell, reminded me of a nagging issue that has concerned me for a while: to what degree GIS contributed to anthropocentric climate change? and more importantly, what should GIS professionals do?

I’ll say from the start that the reason it concerns me is that I don’t have easy answers to these questions, especially not to the second one.  While I personally would like to live in a society that moves very rapidly to renewable energy resources, I also take flights, drive to the supermarket and benefit from the use of fossil fuels – so I’m in the Hypocrites in The Air position, as Kevin Anderson defined it. At the same time, I feel that I do have responsibility as someone who teaches future generations of GIS professionals how they should use the tools and methods of GIScience responsibly. The easy way would be to tell myself that since, for the past 20 years, I’ve been working on ‘environmental applications’ of GIS, I’m on the ‘good’ side as far as sustainability is concerned. After all, the origins of the biggest player in our industry are environmental (environmental systems research, even!), we talk regularly about ‘Design With Nature’ as a core text that led to the overlays concept in GIS, and we praise the foresight of the designers of the UNEP Global Resource Information Database in the early 1980s. Even better, Google Earth brings Climate Change information and education to anyone who want to downloaded the information from the Met Office.

But technologies are not value-free, and do encapsulate certain values in them. That’s what critical cartography and critical GIS has highlighted since the late 1990s. Nadine Schuurman’s review is still a great starting point to this literature, but most of it analysed the link of the history of cartography and GIS to military applications, or, in the case of the volume ‘Ground Truth’, the use of GIS in marketing and classification of people. To the best of my knowledge, Critical GIScience has not focused its sight on oil exploration and extraction. Of course, issues such as pollution, environmental justice or environmental impacts of oil pipes are explored, but do we need to take a closer look at the way that GIS technology was shaped by the needs of the oil industry? For example, we use, without a second thought, the EPSG (European Petroleum Survey Group) definitions of co-ordinates reference systems in many tools. There are histories of products that are used widely, such as Oracle Spatial, where some features were developed specifically for the oil & gas industry.  There are secretive and proprietary projections and datums, and GIS products that are unique to this industry. One of the most common spatial analysis methods, Kriging, was developed for the extractive industry. I’m sure that there is much more to explore.

So, what is the problem with that, you would say?

Well Architect

Fossil fuels – oil, coal, gas – are at the centre of the process that lead to climate change. Another important thing about them is that once they’ve been extracted, they are likely to be used. That’s why there are calls to leave them in the groundWhen you look at the way explorations and production work, such as the image here from ‘Well Architect‘, you realise that geographical technologies are critical to the abilities to find and extract oil and gas. They must have played a role in the abilities of the industry to identify, drill and extract in places that were not feasible few decades ago. I remember my own amazement at the first time that I saw the complexity of the information that is being used and the routes that wells take underground, such as what is shown in the image (I’ll add that this was during an MSc project sponsored by Shell). In another project (sponsored by BP), it was just as fascinating to see how paleogeography is used for oil exploration. Therefore, within the complex process of finding and extracting fossil fuels, which involves many engineering aspects, geographical technologies do have an important role, but how important? Should Critical GIScientists or the emerging Critical Physical Geographers explore it?

This brings about the more thorny issue of the role of GIS professionals today and more so with people who are entering the field, such as the students who are studying for an MSc in GIS, and similar programmes. If we accept that most of the fossil fuels should stay underground and not be extracted, than what should we say to students? If the person that involved in working to help increasing oil production does not accept the science of climate change, or doesn’t accept that there is an imperative to leave fossil fuels in the ground, I may accept and respect their personal view. After all, as Mike Hulme noted, the political discussion is more important now than the science and we can disagree about it. On the other hand, we can take the point of view that we should deal with climate change urgently and go on the path towards reducing extraction rapidly. In terms of action, we see students joining campaigns for fossil free universities, with which I do have sympathy. However, we’re hitting another difficult point. We need to consider the personal cost of higher education and the opportunity for well paid jobs, which include tackling interesting and challenging problems. With the closure of many other jobs in GIS, what is the right thing to do?

I don’t have an easy answer, nor can I say that categorically I will never work with the extractive sector. But when I was asked recently to provide a reference letter by a student in the oil and gas industry, I felt obliged to state that ‘I can completely understand why you have chosen this career, I just hope that you won’t regret it when you talk with your grandchildren one day in the future’

The end of the ‘ARC/INFO driving licence’ era

The discussion about the future of the GIS ‘profession’ has flared up in recent days – see the comments from Sean Gorman, Steven Feldman (well, citing me) and Don Meltz among others. My personal perspective is about the educational aspect of this debate.

I’ve been teaching GIS since 1995, and been involved in the MSc in GIS at UCL since 1998 – teaching on it since 2001. Around 1994 I was contemplating the excellent MSc in GIS programme in Edinburgh, though I opted to continue with my own mix of geography and computer science, which turned out to be great in the end – but I can say that I have been following the trends in GIS education for quite a while.

Based on this experience, I would argue that the motivation for studying an MSc in GIS over the past 20 years was to get the ‘ARC/INFO driving licence’. I use ARC/INFO as a metaphor – you can replace it with any other package, but ARC/INFO was the de facto package for teaching GIS (and its predecessor ArcGIS is today), so it is suitable shorthand. What I mean by that is that for a long time GIS packages were hard to use and required a significant amount of training in order to operate successfully. Even if a fairly simple map was needed, the level of technical knowledge and the number of steps required were quite significant. So employers, who mostly wanted someone who could make them maps, recruited people who gained skills in operating the complex packages that allow the production of maps.

The ‘ARC/INFO driving licence’ era included an interesting dissonance – the universities were telling themselves that they were teaching the principles of GIScience but the students were mostly interested in learning how to operate a GIS at a proficient level to get a job. I’ve seen and talked with enough students to recognise that many of them, in their daily jobs, rarely used the spatial statistical analysis that we were teaching and they mostly worked at ‘taming the beast’, which GIS was.

As expected, at UCL there was always a group that was especially interested in the principles of GIScience and that continued their studies beyond the MSc. But they are never the majority of the cohort.

The model worked well for everyone – universities were teaching GIS by a combination of principles and training of specific packages and the students found jobs at the end and joined GIS departments in different organisations.

The disruption that changed this arrangement started in the late 1990s, with Oracle Spatial starting to show that GIS can be integrated in mainstream products. The whole process accelerated around 2005 with the emergence of GeoWeb, Free and Open Source GIS (FOSS GIS) and the whole range of applications that come with it. Basically, you don’t need a licence any more. More and more employers (even GIS consultancies) are not recruiting from GIS education programmes – they are taking computing professionals and teaching them the GIS skills. Going through an MSc in GIS to be proficient with a tool is not necessary.

So in an era in which you don’t need a licence to join the party, what is the MSc in GIS for?

The answer is that it can be the time when you focus on principles and on improving specific skills. Personally, that was my route to education. I started working in GIS software development without much more than high school education in 1988. After hearing people around me talking about registers, bugs, polygons and databases I was convinced that I must understand these principles properly. So I went for a degree that provided me with the knowledge. In the same way, I would expect that MSc programmes cater for the needs of people who gain some practical experience with operating geospatial technologies and want to learn the principles or become specialists in specific aspects of these systems.

We already see people doing the MSc while working with GIS – currently studying an MSc by distance learning or in the evening is very popular and I expect that this will continue. However, the definition of what is covered by GIS must be extended – it should include everything from Bing Maps API to PostGIS to ArcGIS.

I can also see the need for specialised courses – maybe to focus on the technical development of geospatial technologies or maybe on spatial statistical analysis for those who want to become geographical information analysts. I would also expect much more integration of GIS with other fields of study where it is taught as a tool – just look at the many MSc programmes that currently include GIS. I’m already finding myself teaching students of urban design, development planning or asset management.
All in all, I’m not going to feel sorry that the ‘ARC/INFO driving licence’ era is coming to its end.

UPDATE: a more detailed version of this post appeared in Cartographica, and can be accessed here or email me to receive a copy.

AGI GeoCommunity ’08 – some reflections

The AGI GeoCommunity ’08 is over – and it was a great conference. Building on the success of last year, the conference this year was packed with good papers and with 600 delegates. I found the papers from Joanna Cook, of Oxford Archaeology, about the use of Open Source GIS as the main set of products in a business environment, and from Nick Black, of CloudMade, on Crowd Sourced Geographical Information especially interesting.

What is especially good about the AGI in general, and the conference in particular, is that unlike other forums that cater for a narrow audience (say mainly neogeographers in Where 2.0, or academics in GISRUK), the AGI is a good forum where you can see vendors, commercial providers, veterans and new users all coming together to talk about different aspects of GI. Even if they disagree about various issues such as what is important, having the forum for the debate is what makes this conference so valuable Just look at the blogs of Ed, Adena, Joanna, Andy and Steven for such a debate to see that there are issues that people will argue about quite fiercely – which is a sign of a great conference.

I’m especially pleased with the success this year of bringing in people from the academic community who presented papers and attended the conference. This interaction is very significant as, through our teaching programmes, we are actually training the people who will join this crowd in the future, and we should keep an eye on the trends and needs of the sector.

For example, one of my conclusions from the conference is that the existing ‘business model’ of the M.Sc. in GIS programmes, which was, inherently, ‘we’ll train you in using [ArcGIS|Mapinfo|other package] so you can get a job’, is over. The industry is diverging, and the needs are changing. Being a GI professional is not about operating a GIS package.

We should now highlight the principles of manipulating geographical information, and, as Adena Schutzberg commented during the debate, train people how to ask the right questions, and to answer the most important ‘So what?’ question about the analyses that they are producing.

We should also encourage our students to participate in forums, like the AGI, so they continue to learn about their changing world.