Citizen Science @ Computational Foundry, Swansea, Festival of Ideas

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The Computational Foundry at the Swansea University organised two days “Festival of Ideas” as part of the activities to celebrate its opening. The first day was organised by Ben Shneiderman and focused on aspects of AI, while the second day, curated by Jenny Preece, focused on citizen science. The summary here is from the second day, which was open by Alan Dix, the Foundry director explaining that citizen science is providing new ways of understanding the social impact of data and technologies.

DSC_1716.JPGSetting the Scene: New Agendas, Broader Impacts (Professor Jenny Preece, University of Maryland).  The Computational Foundry considering how to integrate citizen science. There are opportunities for those who are coming from the science side, and the computational side – but there are tremendous opportunities for those in citizen science and Human-Computer Interaction in the field of citizen science. This is a day of action – a range of speakers on citizen science, from doing face to face – in the estuary and the field; but also an online platform on a large scale – the Zooniverse. We see also citizen science in an overseas environment, and in the context of education and public participation in science.

Jenny’s journey to citizen science came from interaction design and information studies. The aim is for interactions – new agendas research, practice, managing a local project. The broader impact – making an impact here in Swansea, but also on the wider world. We might develop a report of these new agendas and impacts. The aim is to develop a report for CSTP. Her personal journey – love the environment, and keen birders – and when NSF put out a call about social computing, she saw an opportunity to get into this area. Citizen science has a very long history within science but not within computing. In 2009, citizen science was defined by Rick Bonney and Jonathan Silvertown in papers at the time, which mostly about a partnership between scientists and volunteers to collect and analyse data. This has now shifted to a wider definition – from setting questions to producing output, and this wider understanding of citizen science is important to the way it is thought off. The work that she’s been doing recently, include small, place-based projects in NatureNet: technology for community environmental learning – see the video at videohall.com/p/963 and a paper in PNAS 2019. The project is addressing crowdsourcing – what are the special computational there? You are not using ML, drones, AI or any of this. The idea of crowdsourcing the design – that was something that made it different in terms of the NSF way to fund it. When started, the aim was to suggest design ideas of the things that they like and what they want to change. Very few design ideas came forward on a website that was set to allow participants, but there was an issue of confidence. They spend a lot of time to help small community groups to deal with watershed monitoring – the goal of the researchers was to have a preliminary map of local action projects.  In the participatory design process, the designers were thinking about a community of practice – but the participants thought that they are communicating with each other, so how to consider affinity network of ideas, and create a much more open software for sharing and communication, working together. Also, there is highly important local leadership – which can change over the lifetime of the project: from managing a team to dealing with technology. One of their participants, who is a plumber, noticed that in heavy rain events the rubbish is swept to the local river, and took his plumbing students to learn about water issues through citizen science. dsc_1717.jpgAnother project that is known in citizen science is eBird which includes amazing data visualisations of species distribution, migration and recently machine vision that is being used. The scale is from 2002 – but over 370m sighting of 10,313 species. Loads of opportunities for people in the visualisation area. iNaturalist is a social network with 20k observation a day, with 1.4m users, and aiming for 50M by 2020. There are many projects. SciStarter, and Wildlabs.net as a place for opportunities to computer scientists. Major issues – for scientists – enough data, trustworthy data, and long-term citizen participation.dsc_1718.jpg

For citizens – learning and contributing, but then they want to be acknowledged and valued. For computer scientists – it gives an opportunity to contribute to issues that are important: privacy, managing data. Some of the things that we can think of: people – how to diversify and involve more people? data quality; project management; technology and tools; values and ethics; and policies – have some real bite in different parts of the world. For Jenny – want to see leveraging the skills of HCI and citizen science to advance both, and use our knowledge to mitigate the impacts of climate change and biodiversity loss. Alan Dix – the messiness of this data is putting challenges that are very valuable.

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DSC_1721.JPGCitizen Science in Swansea and the Gower Peninsular (Professor Geoff Proffitt  University of Swansea). Trained as a botanist and marine science. Worked in the Wetland Trust and set a nature reserve in Wales, and habitat restoration – digging holes and filling them with water. Worked in GCRF work in the Gambia, to carry out recording in people in estimating the carbon that is locked in the mangrove, as part of REDD++ funding and can lead to mangrove restoration.  Citizen science in Swansea – the type of work that is being carried out. e.g. Dan Forman works on Barn owl diet project – getting local active natural history groups and students who are examining the food and see the changes in the diet of owls. Military sites are acting as a nature reserve – e.g. in Castlemartin and that is evidence of the botany of the site. Another project is about coastal otter and diets – people are reporting on dead otters, siting of them alive, and got over 3500 records from across the UK. They are being restored and help in formulating coastal otter strategy for the UK. In the site of Cym Ivy, which is an area that is on by National Trust, there is a new salt marsh as a result of a breach in the sea wall. Since 2016, and collecting otter spraints and understanding diets – also use camera traps. Within a year there is a growing salt marsh with rapid changes. The National Trust are considering what they’ll do in other sites. They also running Bioblitzes in Swansea with 30-100 members of the public: it builds confidence, interest, and awareness. The Rosehill quarry in the centre of Swansea, it is being used as a site. There are also – Clearwing moths distribution – using traps that imitate the smell of a female and that attracts species. The information allows the recording of many observations. Another project is the Oriel Science and the Swansea Science Festival (7000 people attending). The Oriel Science is op up discovery events with a wide range of engagement across the sciences and engineering. Managing to reach out to people who are from areas that are usually not involved in science (high deprivation index). dsc_1723.jpgAnother researcher, Richard Unsworth, involved in marine aspects – seagrass project to record them and collect evidence globally. The Seagrass spotter includes 900 people in 64 countries that projects evidence with 2100 observation. There is evidence in different places. Projectseagrass.org and Seagrassspotter.org is allowing collecting and sharing data. The BTO also carry out data collection and there are projects in the area of Swansea. The university also has an SSSI nearby – Crymlyn Burrows.

Restoring habitats – there are lots of work that is inspired by it and the UN declare the next decade to focus on restoration. Logistics – recruiting people is through places where you meet people, link to existing networks, and helping to get volunteers through connections. It is challenging to get people involved in apps.

DSC_1724.JPGThe COASST Project (Professor Julia K. Parrish, Associate Dean, College of the Environment, University of Washington). COASST has been running for 19 years. Natural scientists – the science goes to scientific publications, and to decision making. We need to technology as a replacement of people, a way to play, a wall and disconnector. But let’s think of technology as an amplifier to connect to nature and community, it also can act as an extender of sense, patterns, and scale. Issues of Wellbeing, we need to extend from humans to Gaia – the planetary systems. Citizen Science is about science, community, education, and enjoyment. There are lots of goals of citizen science – she’s on the area of hand on. The usual view of science is about a process that starts with a hypothesis, then experiment, results and conclude – but there is the need to put in a discover of pattern and wonder before hypothesis and also bear witness. Coastal Observation focuses – monitoring dead bird. COASST – deconstruct science: evidence first, deduction second. Second Demystifying science – no jargon, explain the process. Using science – bear witness and take action. In the COASST programme there is a contract, to survey carcases of marine bird in a given area, collect the foot, standard measurements and digital information. Recording on paper is – because of economics, context (sun, water).

There is a process of identifying the bird according to the foot and other identifying. 950 monthly participants, 4700 people participate since inception. 33% of people are retired, and the economic means to be retired. Average age 51, 65% male. The training – only 50% of people that get into training know birds. As people collect more data they get better – over 70% accuracy and higher. There is also a seasonal pattern – after a year, most people know the about 85% get the correct answer. What are the high/low pattern over the year, and that is something that professional ornithologists don’t know and they develop a good concept of the yearly average,. Active people after a year – hands-on programmes retain people over a long time. With long term retention rates: asking new participants why they joined, and long term participants why they stayed. The new people are interested in birds, the environment. dsc_1731.jpgLong term is staying to be outdoor, to contribute to the science, and to the COASST programme. There is also an aspect of personal identity between new and long term participants. There are differences between people who are going alone and experience the data collection, and then there are people who are joining pairs – so they are going with multiple people (nexus person that goes with different people to the activities). We need to design for loners and for social connectors (nexus). The data provides a good understanding of yearly patterns. There are also die off events that happen and records. COASST help in climate impacts, harmful algal blooms, changes in predator distribution and much more. There is an ability to record a mass die-off event in St Paul Island. They back calculate how far carcasses will get to the beach and can estimate and model mortality, which was 60 to 70 times higher than normal. That led to Die-off alert, of just reporting people in Alaska – it’s a food source, and can’t collect eggs: important for local practices. DSC_1729.JPGThere are events of many events of the region – can see the large scale pattern over space and time. By looking at the temperature of above normal patterns and the heating in Alaska and you can see the impact of increased mortality of birds. There are impacts of science and people – impact on coastal communities in Alaska, and in Indian communities in Washington, and ocean acidification that harms mussels. Let’s think about technology as wellbeing: connect people to passion, creativity, allow people to learn, increase ownership and stewardship of the natural world, increase realization and help them to take action. Most people are curious, attached to a place, but a very small group of people want to become scientists – and people would fundraise for the project than the analysis, and they want to see the scientists doing the work. Not making everyone a scientist, but making everyone involved.

DSC_1733.JPGThe Wisdom of the online crowd – Citizen science with the Zooniverse (Dr. Helen Spiers, Biomedical Research Lead of the Zooniverse Platform,  Department of Astrophysics, University of Oxford). Coming from developmental epigenetics and started in 2016 and covering some of the work of the universe. Currently the development of mobile apps etc. Zooniverse started from the story of Big Data in many fields of science, and especially in astronomy – we need data curation and human pattern recognition. The story started with Galaxy Zoo. The algorithm of the time couldn’t provide morphological information of galaxies, as Kevin couldn’t calculate all the galaxies – but analysed 50,000 galaxies, and it became Galaxy Zoo. The project was successful – 70,000 classification per hours, but that allows to complete analysis in a matter of months instead of years. The data was of better quality than the expert could do – more eyes on each image. There are many scientific outputs from Galaxy Zoo, but also unknown unknowns – e.g. Hanny Voorwerp. That has moved into cells with electron microscopy (with Crick Institute). There is much data that need annotation – annotation tools that allow providing recognition of cell data. The volunteer data quality is as good as experts. This allows understanding the nuclei of different cells – it opens up the ability to new areas in biology. DSC_1734.JPGThe work of volunteers can form the basis for ML. 1.75m registered users, and projects across science, humanities, and supporting humanitarian efforts. The Zooniverse project builder allows the growth in the projects and supporting different types of source data and the types of activities that you can carry out with it. Challenges include the need to understand how to facilitate engagement and scientific efficiency and it provides an opportunity to learn across projects. Looked at the volunteers’ behaviour across 63 Zooniverse projects, but found out several things: artificial scarcity can be associated with engagement – in most projects that shows a peak at the start and then dropping to an activity. when the research team upload the data in each time when it was available on a weekly basis, it raised the interest in the project and provided multiple peaks. The lessons need to be learnt with caution. Some projects get into high participation inequality, and also age and gender bias and there is a tension between social inclusivity in contrast to scientific efficiency. There is a need to be inclusive in study design – e.g. a project about body organs and checking people anatomic knowledge – there was an aim to have a more inclusive reach. This is an unusual project: it’s about data collection and how it can be used in a different way. There is also exclusivity – specialised crowds can provide specific skills – when there are needed expertise or local knowledge, or maybe you want task naivety crowd. Zooniverse also offer a linkage between ML and human contribution. e.g. throwing images that are surely not relevant, and asking the crowd to classify only those that the computer wasn’t confident about. Algorithms and volunteers offer different behaviour. There is also a lot of value in algorithmic diversity – computers can also be used to create engaging tasks, but need to be careful about using it – removing images without anything, reduced engagement in the project (the Snapshot Safari example of removing all the blanks which reduced engagement). There is an ethical issue – are you wasting people time. The future of Zooniverse is about Human:Computer collaboration, need to have a smart subject assignment – allocating tasks and ensure an engaging experience and combining modes of citizen science – interoperable systems, giving feedback. The communities are changing – e.g. DSC_1735.JPGGalaxy Zoo is very proactive which meet offline, and there are questions about the nature and characteristics of communities. Don’t waste people time – the commitment is to ensure scientific efficiency and find other ways of engaging people in an interesting way. The issue of inclusivity – how is the Zooniverse management team gatekeep the community? there is a review process, and also sharing it with volunteers who are happy to review project application – 50,000 repeat volunteers, which are self-selected, who provide feedback and say if the project is suitable for the Zooniverse. Very few of the projects that are scientifically valid, failed. There was a project that was thrown out – about facial characteristics. There is a different review of scientific relevance.

Extreme Citizen Science Professor Muki Haklay, Professor of
Geographical Information Science and co-director of the Extreme Citizen
Science group, Department of Geography, UCL

DSC_1736.JPGCitizen Science Inquiry: Contemporary Approaches (Professor Eileen Scanlon, Open University) talking about citizen science enquiry – the nQuire team. Citizen science inquiry is the general approach to it. Eileen sees citizen science as a way to enthuse people in science and engage them. There is a lot of things that were talks: scientific literacy and wider STEM learning. Then there are issues of volunteers and how they are involved in data collection and analysis. From the point of history, citizen science goes back to the 17th C and been going for a long time. Modern citizen science provides new ways of engaging online – such as Zooniverse or iNaturalist. At the Open University, they’ve done nQuire-it, iSpot and Situ8 that is about annotating physical places.dsc_1737.jpg First, they look at the personal inquiry project – inquiry-based learning across formal and informal settings (www.pi-project.ac.uk). Was coming from an interest in digital technology and learning, and was focusing on 12-16 old, and were searching for outdoor settings that allow students to link to issues that are relevant to them and within their areas. Inquiry-based learning is appearing in the education literature, and scaffolding the process can help people to learn through inquiry. It can be used through different stages in the learning process. Personalisation is important, but you do need to have a limitation – e.g. you can’t work with teenagers about issues of their daily diet: sharing it with other people in their immediate social circle is problematic. In Milton Keynes and Northampton, they manage to engage students in the investigation of urban heat islands. The work is summarised in the book “orchestrating inquiry learning”. The work was developed within the formal approach. At the same time, work by Vickie Curtis lead to the analysis of online citizen science (in her book). dsc_1738.jpgThe research on who engage and to what extent, you get a different picture – Vickie was a participant observer, and in Foldit where the science was very high – the participants were interested in games. The positioning of the people who participate in citizen science. Next, they worked with Nominet Trust and developed nQuire-it – so using smartphone sensors. They’ve done a co-design of an informal system with students and created different ways of exploring the world. The investigations were called “missions” – develop things that the participants are personally interested in and also to the book on “Citizen Inquiry” – citizen science + collaborative inquiry learning + crowdsourcing. The way that they are seen Citizen Inquiry is to think about a link between inquiry learning and citizen science. Trying to think about how these things are brought together. Another project, by Jess Carr is looking about representing ‘publics’ – e.g. developing the workaround advocacy research groups. In inclusive research is part of the work. By the collaboration with the BBC lead to extend citizen inquiry to allow mass surveys (in http://www.nquire.org.uk) which include confidential survey missions, and open social missions. The BBC helped in developing a joint platform and different missions were developed – from survey of sleep pattern, to work with FutureLearn, and to an authoring tool. One work that is currently happening is in the Forst 404 Experiment about different environmental sound and running a podcast. There are issues with owns data and ethical questions about such projects. There are also other activities – such as iSpot and Treezilla. Citizen science inquiry can provide about participation and personally relevant research. Evaluating learning is tricky. Open questions include how can citizen science projects raise interest in STEM and provide appealing science learning? Can citizen science have an impact on the participant’s identity – allow them to identify roles for themselves in the practice of science? The reputation system of iSpot is especially valuable (the Zookeys paper cover that).

The speakers had a common panel, exploring what are the new ideas and agendas that are emerging from the day. point of impact on the world, and science in general and can help; social inclusion that came in both days; growth in computing in challenges; including computers as participants; education;

From today – how we maximise the impact of the data that we produce and that we’re going to produce? How can we take the datasets that are being produced and how they are being used? Data can be repackaged and reused. Another thing is education and there is no impression of getting young people engaged with these types of project – informal involvement and practical science activity. There is a certain “flight from science” and we need to consider how to involve the youth into it. There are both men and women, and there are people who are leaving education (e.g. young males in the UK). There are lessons in museums that engage with citizen science: learning citizen science, DITOs, and the awareness of Ecsite and Aztec. From COASST there are issues about finding older adults because of the year-long needs of the project, but they do have cross-generation participation. There are also issues about the integration of citizen science and inquiry into education – but we need to be articulate about what we’re doing within citizen science. There is also a lot of data on different platforms, and linkage between seagrass and specific birds that are eating it and direct connection is something that ecologists don’t know how to link. There are also people who collected data over a long time and the data and in some cases, this is not shared. There is plenty of information on hatching and egg laying day when they are a very long time, but it is in small notebooks that need to be digitised and used – and this information needs to be collected, as otherwise will be lost. There are issues of a lot of unexpected information within environmental information – examples include the ozone layer reprocessing, or that looking at old records or mass die-off events are showing information that was not known before. This is an issue that we might want ML and other methods of uncommon analysis to provide us. There are also cultural identity issues – about the role of experts and the disrespect of experts: is citizen science are amateur scientists? Or are they are not like experts? Choice c – and there is a wider distribution. Mass mortality events that started in early 2000 made the front page, and right-leaning business groups wanted to hear about it as much as to conservation groups. The business groups was a demonstration of local people collecting information and managing their place. Citizen science is not left or right leaning and it gives a lot of communities to hold information and interpret it – that’s the democratisation. We are not doing the deficit model – bringing people to be like us. But is it useful to link citizen science to political debate? Citizen science can take out the politics and focus on the fact – using an agreed measurement and approach that is societally agreed. In the water projects, people became more educated about the situation so they could lobby the officials to act. There is also an opportunity to bring it the data as a way to challenge difference: it is about empowerment and not about right or wrong. Back to the engagement of kids – the ethical assumptions: if there is data collection then the parent is responsible for the data? In the OU system, there is a concern and that need to be addressed and it is an issue in school settings. There are also options for managing data by the teachers and let students deal with data, pictures, etc. It is tricky on how to engage in advance with parents and children – but it can lead to impacts on parents, too. There are also issues – e.g. reporting about the impact of pollution on an ecological site, and then claims that the site is spoiled so it can be used for development. There are lessons to be learned from Citizen Science: Theory and Practice special issue on ethics, and the Citizen Science Association ethics working groups. The ideas that are emerging and resources that are coming along is to find new questions.

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Citizen Science 2019: Designing technology to maximize cultural diversity, uptake, and outcomes of citizen science

 

DSCN3339This blog post was written by Michelle Neil of ACSA with edits by me (yay! collaborative note taking!) (apologies for getting names wrong!) 

The session was structured in the following way: first, each person presented their issue, and then they answer questions that were presented by other panel members. The questions that we managed to get through are:1)  What changes have you made to your design in order to be more inclusive or reach out to people beyond your “usual suspects”?

2)  How can we promote stronger partnerships between HCI/UX design & citizen science in order to produce technology that encourages inclusion?

3)  How do we begin to engage communities in the design of technologies and technology-based learning experiences, particularly within diverse communities and with diverse participants?

The session was organised by Jessie Oliver (Queensland University of Technology)Jessie’s research in about engaging people with acoustic citizen science particularly birders.  what are the barriers and challenges about looking at acoustics?

A1 What do people want to do? Be inside or outside? Musicians may be the key for acoustic citizen science more then birders.  Showed birders spectrographs of the bird sounds and they are not interested – they want to see birds!

A2 get it recognised as something that is worth looking at. Then keep diversifying. Then ask more / different groups.

Jonathan Brier (University of Maryland) Looking at how we do the science of citizen science and bug people about security and privacy. working on national portals of citizen science. interested in what we do on larger systems and how they change.
A1 Site needs to be compliant so people of all abilities need to be working

Q2 ask.  Go to the uni students! Also, go to the lowest level of technology.

Muki Haklay (University College London) in the context here, focus on research with non-literate groups on data collection and analysis but highlighting how paper-based prototyping in the field (including a chicken that walks on the prototypes) can help in effective design. Namibia - Map Visualisation Session2_Moment2
A1 how do we include train-spotters in citizen science? why?  Plane spotters used to be mocked until a database was needed about illegal planes….. the moment you start thinking about not your regular community but those that are more detail-oriented then we have inbuilt citizen scientists.

Q2 how he started in HCI – got into the area without knowledge from undergraduate computer science studies, so only learned it during PhD (with the help of Angela Sasse at UCL), and therefore know that need to collaborate with mainstream HCI experts on different projects, or working with MSc students.

Jenny Preece (University of Maryland) interest in citizen science on biodiversity of data collection.  Book  – Interaction Design that will come out soon in 5th edition and include 5 citizen science case studies.
Citizen science and human-computer interaction are both interested in humans. cit sci wants people to participate while HCI wants to see how people interact.

A1.  Don’t ask people to give you their design ideas. They don’t know what they are or they are scared to do so. Need to ask it differently

A2.  After hurricane Katrina libraries were a huge sanctuary so most people went to libraries to give people a centre of focus with a community and talking to the outside world.

Tamara Clegg (University of Maryland) new to citizen science. try to help people scient-ize in their everyday lives through designing technology and make learning experiences. NatureNet project is trying to reach communities that are underrepresented to do projects that better sustain their communities by using technologies.

A1. Titles can alienate people. come and help us make our technology better works better. Make it practical and relevant and communicable.

A2 Used HCI undergraduates as part of their assignment to do usability studies on tech as part of their degree. Also created the standards in accessibility. Have more conversations.  Also, (questions from the audience about hurricane Katrina aftereffects) equity social justice as started to take shape in the community.
Grant Miller (University of Oxford – Zooniverse)  Helped build over 100 citizen science projects in citizen science. engaged over 2 million people so far. PenguinWatch. The barrier to entry couldn’t be lower. Remove the barrier or get it as low as humanly possible.  Provide pathways for deeper engagement and connect with researchers. use plain language increases engagement.

A1 volunteer translation app in zooniverse so anyone can do projects.  Don’t ever ask anyone to be a citizen scientist on your project! Keep the barrier to entry as low as possible.

A2 ask for people who do have broadband to help those who don’t. e.g. directing first responders to help those who are in trouble from the other side of the world.

FROM THE FLOOR

Andrew Robinson

A1 If people were recording pokemon go but actually doing biodiversity that would be huge! We went for gamers with questagame. we are taking them outdoors. its an example of a non-traditional citizen scientist.<

Maryan Misouri

A1 Ended up working with people who were blind. very challenging. took more time, differently set up.

A2 Petra (Barcelona).  Explore hackerspaces, makerspeaces etc.

A2  Take a more basic approach. 80 rural counties in NC where broadband is not even accessible. Primarily done via telephone line so can’t assume good data transfer. Most affected people don’t have broadband. how do you do citizen science when you don’t have broadband? or you’ve had a hurricane?

Muki answer:  there are persistent digital divides. In some low-income communities, they leave school at 16 years old and don’t touch a computer. Have to re-learn after 5 years how the technology works again due to advances in interface design so don’t assume that everyone knows how to use computers. Need to look at south-north innovations – e.g. Ushahidi Brck.  local-mesh networks. .

Jennifer shorts-valler (?)

no communication. Recently taken over a Citizen Science project. How do we make it the best it can be? HCI folks were not on the radar. How do we connect the researchers and the HCI together? (Jessie to connect)

Daniel Powell uni of Maryland

Undergrads want to make an app for everything. what else is out there? Who else do we go to? How do we find these partnerships?

Muki – consider an empathy project. force student to deposit smartphones and use a function phone for a week.  In my field, there is a problem that most people don’t know how to read maps but the people in GIS think that everyone can read them. Issues of empathy between communities and those that design tech for them. Latest technology gets you into the top conferences but you can innovate on the function form. Get the empathy in.

Jessie created workshops and paid to bring citizen scientists plus brought in HCI people to co-create and was very fruitful

Jenny suggested developing an INTERACTIONS article and something similar with citizen science journal

Mark Handrichaw uni Ottowa

timing of the relationships and partnerships. need to have everyone together at the start. so you don’t go down rabbit holes.

yourong veee uni Washington

we are the best people to understand the users not the web designers. a difference of the partnership.

JESSIE: partnership doesnt exlude money.

Grant: get ownership and buy-in so get them interested (designers etc) treat them in the same way as volunteers but pay them.

Julie Sheerd Natural history of Denmark

Asking people to do an experiment and ask them to fill into a database. most said too hard and filled in the hard copy sheet instead. what about all these places online.  need an advocator in each country.

Jessie: need someone paid to collate and enter data. Privacy issues. need to make a clearinghouse that we can all use.

Tammy: the challenge in entering information into computers is a common one. If you are with family it is always easier to do something on a paper rather than entering onto the phone.

Vinny vandee design laboratory of san Diego

know the best practices but not everyone does. need a basic tutorial which describes<

JONATHAN we could add these ideas and FAQ on the associations’ websiteGuidelines are only general. number rof different guidelines.  A question of people being able to find it. Needs to be customisable to the community.

Ortez  (?)

wants to create a game that is super connected but it is super expensive. Paris has BirdLab. Costs $50k Euros. I don’t know how to find the money. How do you find the money? (Talk to Andrew from Questagame or Zooniverse but depends on what type of engagement you want).  Do you want it to actually be a game? explore all possibilities.

Can use the principles from community engagement of going where people are – in physical space but also online. need to go to where people are. the example is #RimFire01 observation spot on the way to Yosemite . Check the hashtag #Rimfire01

Using twitter or facebook (Andrew) we have a tendency that our motivations are everyone else. What motivates citizen scientists? Financial? gamers? Repercussions of using twitter and facebook for citizen science. A lot of people aren’t aware of this”

Sydney

Flip the conversation. Citizen science work is getting kids outside. How do we include audiences who are disabled / too scared to go outside involved? how can we do it in a way that brings everyone in?

Brian Brown at Standford (TAMMY) – VR – count the healthy options in the community.

JOHNATHAN: Google hangouts used to engage others who can’t get there.

ALICE SHEPPARD:  Potential for soundscapes in citizen science. SoundScape, Project Soothe. Have you heard this bird?

HUSH City app.

MICHELLE _ sometimes HUSHCity app is used by parents who have kids who can’t handle loud noises. motivations.<

TAMMY’s QUESTION<

How do we engage?

MUKI starts from failure.  Coming into the area long after there were racial tensions. Somalis were not included and realised that at the end of the project. Needed to check the gov census first before you go into an area. Passive inclusiveness vs assertive inclusiveness.

GRANT; try to realise that your failing at it. Go and talk to diverse communities. Sitting with 6 blokes in Oxford asking the question means you haven’t started right.< VINNET PANDEY: Anytime I go into a formal meeting and pitch my project I went first into a kombuchaHUSH workshop. made friends. got into the community. JENNY:  be prepared to be very persistent and just keep trying. Ideally,  spend 1 to 2 years with a community so I know them really well before writing the grant proposal TAMMY:  Best one yet has been with my church. JESSIE:  buy-in is so important. started as a participant observer. So thrilled when I realised that they valued my work. FIND THE RIGHT PERSON IS TO GO IN AND WHO THEY HAVE TO SEE> DO THE RESEARCH!

FINANCIAL

Need to trick the organisation to get money? Include funds in your budget for community involvement / interns.

Developing mobile applications for environmental and biodiversity citizen science: considerations and recommendations

The first outcome of the December 2016 workshop on apps, platforms, and portals for citizen science projects was the open access paper “Defining principles for mobile apps and platforms development in citizen science“, which came out in October 2017.

Lunaetal2018Fig3.pngThe workshop, which was organised by Soledad Luna and Ulrike Sturm from the Berlin Museum for Natural History, has led to a second output – a chapter in the book Multimedia Tools and Applications for Environmental & Biodiversity InformaticsThe invitation for contributions came at the right time with the first workshop in December 2016. The Chapter was completed in August 2017 and finally came out at the beginning of the month. A year from submission to getting it in press, which is fairly common in academic publications.

The chapter is different from the journal article, in providing more detailed examples of applications, and summarising aspects of systems in use and data standards that can be applied.

The abstract of the paper is:

The functionality available on modern ‘smartphone’ mobile devices, along with mobile application software and access to the mobile web, have opened up a wide range of ways for volunteers to participate in environmental and biodiversity research by contributing wildlife and environmental observations, geospatial information, and other context-specific and time-bound data. This has brought about an increasing number of mobile phone based citizen science projects that are designed to access these device features (such as the camera, the microphone, and GPS location data), as well as to reach different user groups, over different project durations, and with different aims and goals. In this chapter we outline a number of key considerations when designing and developing mobile applications for citizen science, with regard to (1) interoperability and data standards, (2) participant centred design and agile development, (3) user interface & user experience design, and (4) motivational factors for participation.

The chapter can be accessed using the following link Luna et al 2018 Developing mobile applications for citizen science – enjoy reading!

 

Lessons learned from Volunteers Interactions with Geographic Citizen Science – Morning session

On the 27th April, UCL hosted a workshop on the “Lessons learned from Volunteers Interactions with Geographic Citizen Science“. The workshop description was as follows:

“A decade ago, in 2007, Michael Goodchild defined volunteered geographic information (VGI) as ‘the widespread engagement of large numbers of private citizens, often with little in the way of formal qualifications, in the creation of geo­graphic information, a function that for centuries has been reserved to official agencies.’ (p.2). The collection and use of this type of crowdsourced geographic data have grown rapidly with amateurs mapping the earth’s surface for all kind of purposes (e.g. collecting and disseminating information about accessibility in urban centres, for crisis and emergency response purposes, mapping illegal logging in remote areas and so on). A subset of these activities has been described as ‘geographic citizen science’ and includes scientific activities in which amateur scientists (volunteers) participate in geographic data collection, analysis and dissemination within the context of a scientific project (Haklay, 2013) or simply by using scientific methods and equipment. Although, there is an extensive discussion in the VGI and geographic citizen science literature about opportunities as well as implications (e.g. data coverage, data quality and trust issues, motivation and retainment of volunteers and so on), examples from the actual interaction are not so widely discussed, neither has evidence been collected from a broad spectrum of case studies to demonstrate how volunteers interact with those technologies and applications, what they are looking for and what it is that they need/try to accomplish (at a scientific, project and personal level) and what are the common design mistakes that influence interaction.” The following is a summary of the talk and presentations:

Welcome & Instructions – Artemis Skarlatidou the workshop is linked to our ERC funded project Intelligent Maps (ECSAnVis) and  EU funded Doing It Together science (DITOs) and the COST action – our work deal with geographical applications of citizen science and data collection. There is the COST Action CA15212 which got 243 members in 39 countries – all exploring aspects of citizen science – Work Group 1 (WG1) for scientific quality, WG2 education, WG3 society-science policy, WG4 the role of volunteers in citizen science, WG5 data and interoperability, and the synergies in WG6. In WG4, which Artemis lead. we’re looking at stakeholder mapping, motivation, needs and interaction issues, and mapping citizen science across Europe. Another relevant group is the ICA Commission on use user and usability issues, the International Society for Photogrammetry & remote sensing that have a WG V/3 that look at citizen science and crowdsourced information. Sultan Kocaman explained the ISPRS link – WG V/3 focus on the promotion of regional collaboration in citizen science and geospatial technologies within the focus of ISPRS area of education and outreach.

Louis Liebenberg presents Smartphone Icon User Interface design for Oralate Trackers – Louis Liebenberg who for 3 decades have been developing software to allow hunter gatherer to protect their knowledge of tracking. One of the challenges that Louis address is the understanding how our scientific thinking evolved. Louis suggests that tracking is an example for hypothesis testing and rational thinking that evolved in in tracking by hunter gatherers. He worked with !Nate from the San people since 1985 – the context of technology use by San for a long time. Already 100 years ago, hunters discovered that arrow points can be made from fence wire and started using them. This is an example of how hunter-gatherers adopt to technologies around them. Hunter-gatherers are not isolated: they always interacted and traded. Developing a software for a smartphone (you can get an Android phone for $10 in South Africa today), is similar to adopting the fence wire for the arrows 100 years ago. He learned from master trackers – the level of sophistication of trackers is astonished him since the mid 1980s. In the Kalahari, dogs were introduced in the 60s, and therefore the knowledge of tracking and the practices of hunting change. He used tracking and certification in it in order to secure employment. Master trackers are expected in an egalitarian society to show humility, so it is possible to miss them if you go and ask “who’s the best tracker here?” – the certification is a way to provide recognition and work. The tracking provided employment in the 1990s in surveying the movement of animals in the Kalahari. The persistent hunt – when you do it without any equipment, running animals down until they die from exhaustion which is an adaptation that humans have to be able to do that. Karoha was one of the persistence hunters but also able to use CyberTracker and use the system. Parallel to the software, Louis develop the tracker certification, to know if the data is reliable. As Master Trackers die, the knowledge is lost, so the certification provides an opportunity to encourage the younger generation to develop the knowledge and benefit from it. The level of details in animal tracks is very high. There is a high level of ambiguity in tracking and requirement to learn about claw marks and knowing what are the possibilities then it is possible with high certainty to understand which animal it was. Trackers also develop hypotheses on why the shape of hoofs is the way it is, and interpret activities of animals from the track – for example, identifying new ways of interpreting the behaviour of an animal that was not observer before. For example, the ability to guess that caracals are jumping upright in an attempt to catch a bird. CyberTracker started with the early Apple Newton with a GPS module, and then evolved into the Palm Pilot and continue to evolve. The interface was very limited in drawing icons – icons are either phonetic symbols (e.g. using a wheelbarrow to describe an item that sounds similar to the word in Africans). The details can be very extensive – species, age, number, male/female and so home. The data can provide information on abundance and potential of work are the communities. In a project in the Congo, they follow the trackers of different animals and they could show they Ebola impact Chimpanzees, Gorilla, but also other animals and then this was important to understand that you can identify Ebola in wildlife before it spreads into the human population. There is also a wide use of CyberTracker in citizen science on monitoring endangered species, and different projects by indigenous communities  Australia. They can also show that there are different results from what ecologists identify. A paper from 1999 about Rhino was co-authored by a tracker, demonstrating different models of publishing with citizen scientists. The first high impact that was co-authored by trackers was published recently in biological conservation. Questions: how to communicate from hypothesis by hunter-gatherers to the scientific sphere? The need is collaboration: data collected and organised by the trackers, and then the scientists write the report, but providing a report is challenging. The reality is co-authoring as there is always need for mentoring, reciprocal approach between scientists. Louis also circulates papers with experienced scientists to improve the paper. We all need peer review support. In terms of consent and engagement: there is a need to develop the relationship of trust and understanding – the first people who were involved in CyberTracker worked with Louis for 5 years, and Louis engaged as a tracker before they were willing to work with him. Some of the early papers in the Kalahari used trackers without mentioning their name even though the trackers carried out the research. Scientific institutions are one of the last authoritarians institutions – citizen science. Scientific elitism is intransigent and this makes citizen science exciting.

Lessons from supporting non-literate forest communities in the Congo-Basin to record their Traditional Ecological Knowledge – Michalis Vitos & Julia Altenbuchner the context of the Congo-basin is the second largest rainforest. This is a forest with 29 million people, with at least 500,000 nomadic communities that rely on resources. The forest is divided into concessions and then they are sued for resource extraction – how to make local groups heard? Local communities are excluded from protected areas. In the last few years, some legislation is changing – e.g. the FLEGT of the EU to control timber import and request for social payback and responsibility. ExCiteS collaborated with communities to support such process with technology. The challenges are dealing with non-literate groups who are also non-technologically literate. We use pictures as a way to communicate: the application working in a simple fashion – showing categories of things that people want to map, each category is leading to more specific options – the information can be captured and deciding if we want to save information and we can collect video and audio that are geotagged. In 3 simple steps, information can be captured. The process starts with a dialogue of what important for the communities, and then with this agreement on what will be collected. We do explore the usability of the application. About 70% can use the application, but 30% have a problem with categories – you follow a path of mapping banana, avocado and cacao – this requires categories, e.g. one of the set. Some participants found that confusing. Adding more icon to the category is becoming more complex. One approach was to test audio feedback in a local language – explaining the icons and what they mean. The experiments with the audio feedback help a bit, but not a lot. The next step was to go directly to the final icons and go directly to the final card – adding an NFC chip and adding the control to it. Participant finds the specific icon and then touch the card with the phone. With Tap&Map the success rate gets close to 100%.

Julia – the next issue is making sure that communities can manage their data- the vision is of intelligent maps  – having data collection, then local data repository and management, and then visualisation. But there is a challenge of the mapping and this was done by using UAVs and creating within a short time a high-resolution imagery. However, people don’t need maps as they know their area, but the maps are for communication. The maps are being used to check how the map is used – people felt under a lot of pressure when using the map. and the next experiment was not to put under pressure, and instead of doing a treasure hunt: going and looking for data by trying to find German Christmas decorations. The tracks of the people who participated in the study we can see how they looked for information. What we know is that people can use maps and understand them – the reference map. Now we want the thematic information – so when people take ownership and correct issues: this was done using the icons that were used as a resource and then to correct information. People were doing well in correcting information using a Tap&Map approach. We get feature corrections over 90%. This an ad-hoc approach: even without much exposure – we need to allow people to be sensors and the brains behind it.

Forest hunter-gatherers and Extreme Citizen Science: Reporting wildlife crime in collaboration with local and indigenous communities in Cameroon through community-led co-design – Simon Hoyte work in Cameroon for the last year and a half with Baka hunter-gatherers. Working in Cameroon in the south-east corner.Working with Dja reserve, working ZSL and 5 communities. In Cameroon, there are many issues with conservation – gorillas, chimpanzees, parrots, pangolins and elephants. Indigenous communities are lots of time are forgotten – those groups are familiar with the forest, with knowledge of 50,000 years and colonial approaches exclude. The technologies that are being used are Sapelli data collection tool, then there is the data management tool GeoKey and the CommunityMaps from Mapping for Change. The process starts with the community free prior informed consent – first starting with the concerns of the community and also building trust by staying overnight in the village and connect on a personal level. That is an important recommendation. Icons are being drawn from the sand, to a paper and then into the app. Functional actions changed from tick to thumbs app, or recording changed. XML layout of the project allow changes in the field. The second recommendation is the co-design that increases motivation. Audio and video are allowing information to be shared, including tracks – it allows a verification. Audio provides more information. Describing what people found. Indicators on the device are important – when recording is active a red icon allows you to see that something is working. The phone is checking for connection every 4 minutes. Using ID screen to recognise reported – can be used elsewhere. The community protocol also addresses who manage who will manage the phone and look after it. The report is upload and shared with the authorities – we need the diverse outcome. So in summary: trust building, co-design, media, feedback, simple tools, anonymous ID, community-led, and diverse outcomes. The map providing further more information.

Community based monitoring of tropical forests using information and communication technology (ICT) – Søren Brofeldt an example for a study that rely on Sapelli and expand the software to create the Prey Lang App: working in Cambodia, in the Prey Lang – 200,00 people who rely on the forest, and huge pressure of deforestation and a lot of the logging is illegal and it is supposed to be protected. The Prey Lang Community Network (PLCN) created around 2005-2007 and it is now a group of 600 people who are doing work over that last 10 years, and patrolling the area, confiscating chainsaw and catch wood and logs. Trying to address logging in the area. 2013 they try to communicate the problem to international society – to do what they wanted to set a forest monitoring programme and create a system to document illegal logging and provide evidence-based advocacy. The issue is to compile information and document breaches. The data is captured by Sapelli, and the information is validated by PLCN and scientists, which then helped in compiling report locally and globally, which then led to the positive platform. The platform was tweaked a bit and include information through a decision tree, they have different aspects. The things that they developed: unique functions – choosing icons or doing activities – they had basic activities in the first version: they have seen it as too simple. They started with 9 basic functions with 614 end-points of activities. By the third version, they had 9 functions, and 1663 options: types of trees, types of information, species and so on. They now have 10 functions (e.g. dropdown, word complete). Complexity does not lead to incorrect use (if training is adequate and added functionality is done in co-designed way). When people are experienced – people who use the app for 2 years can get into more complex functionality over time. Some of the issues with data – poor documents, double counting. over time, human errors are decreasing, and also technical issues. Poor connectivity and technical issue are a major issue – more than local ability to use. High quality is possible with active data management is needed.

Designing Human-Computer Interaction for Citizen Science Initiatives in Rural Developing Regions – Veljko Pejovic & Artemis Skarlatidou we need to understand how we move initiative from developed to developing regions in citizen science application. ICT4D point to environmental constraints: roads, electricity, There are also that this area lack skills in the workforce and cultural constraints. Clashes with assumptions. in the Extreme Citizen Science context: we need to identify solution adaptation in participatory design, there is a need for holistic implementation, and we need to make sure that we think about the whole process – from data collection to policy and this challenging. Finally, we also to consider the champions and engaging then (the book “Geek Heresy” by Toyama talks about it). The aim is to identify guidelines – this was done through participatory studies that are similar in the rural developing world and carried out 9 interviews with researchers with extensive experience in the field. An hour-long interviews x 2. The questions explored different aspects including interactions. The finding – need to mobilise the community by taking into account societal organisation (e.g. egalitarian aspects). Need to find local champions. We need to identify the ecosystem of the technology: chargers, cables. Also need to consider how the technology that was built to a different context work: rough fingertips, reflection in the screens and so on. There is also the issue of using hierarchical icon organisation which is pretty intuitive for educated people but it is challenging for participants (users) and also navigation buttons. This matches evidence from Medhi et al. Chi 2013. Juxtaposing this with illiterate users in urban Brazil, they managed to deal with hierarchical organisation and navigation – might be that the exposure to smartphones helped in developing these hierarchies. Icon design is different, but we can see that realistic icons with context are more suitable to use, not just an object. There are issues of actions and how to represent them. Getting honest feedback on the spot is a challenge – users don’t criticise before (Dell et al CHI 2012 – “yours is better”). Long trust relationship help in getting honest feedback. The participants lack the vocabulary to discuss HCI issues. To maintain motivation, there is a need to make data collection visible and ensure the real-world impact of data collection. Recommendation: develop context-specific apps – not genetic, and consider application interface that matches user’s skills and geographical information is a key.

Introducing user issues of the Global Forest Watch application – Jamie Gibson – developing with Vizzuality better maps and visualisation. Trying to think of citizen-focused GIS, interacting with the citizen in the design. Global Forests Watch (GFW) was developed in the last 3 years, and it is allowing to see the world’s forest and how they change. They wanted to tell a simple story: where forest is gained and lost. With few clicks, you can see the impact of conservation. GFW allow seeing how deforestation is implemented and how it is stopped. There is a need for global engagement – opening it to a whole crowd of people. Forest don’t have a connection to the web, and try to take data online to the field, walk to the area, investigate recent forest loss and report new areas – 4000-5000 users. They aim to integrate citizens into the design process. Forest Watcher is being used in important areas of the world and not where the most connected people area. They analyse where people use the app – when there are forest fires in Spain, people are updating GFW and explore. Use the analytics to find the places where we want more people to look and explore. This is integrated with interviews and usability testing. Working with experts who been working for a long time – including Jane Goodall Institute, Amazon Conservation Team, CAGDF, and BirdLife. As people use the application they build ownership and they provide a better feedback and richer information. In terms of what they learn, including the use of persona to think about monitors: need to have lots of other things that try to sync after the 14 days offline – the internet is slow and changed the app and the back end to make it faster. Use it to understand frustrations and find ways to wow moment. Face, name and story improve the quality of the thinking and understand their frustrations.

Lessons learned from Missing Maps – Jorieke Vyncke Her personal background is in interest in work that links to humanitarian purposes, and since 2017 is the missing maps coordinator. She is looking at the humanitarian organisation focus -more than 34,000 staffers in MSF and about 470 locations around the world. In many parts of the world there are empty maps and not geographical data. They discover OpenStreetMap and working with the American and British Red Cross, HOT and over 40 partners. They have principles from the Ostrom on working with groups. They compare rural and urban parts. In Idjiwi in DRC, the east of Congo – working with a multitude of problems: violence, refugees and more. Due to a measles outbreak, they needed population and mapping data. Included 250 remote volunteers who mapped 28,000 building in about a week. This helped in creating population estimation – critical for the logistical planning. They managed to identify 94% of the population. An example from Bangladesh in Hazaribagh informal settlement. The area was mapped with both local and remote mapping – including factories and tanneries – locating the workers that they wanted to reach – combining students from the university with workers that were reached through the union. The experience of mapping is done by the technical local students to make things happen. Using smartphones and field papers process. Paper is still effective, and then also the edit data in pairs on how to do the mapping – the end result provided an occupational health survey. The process motivated the community and they continue to use it. In different areas, they use remote mapping but the most important thing is to create a local mapping community and that makes a decision between empowerment and remote mapping with the importance of saving life.

Keynote: Approximated Reality: the use of digital tools by traditional communities in the Amazon – Vasco van Roosmalen working in Ecam – Equipe Conservacao Amazonia in Brazil since 1999. The big challenge is how to reconcile different visions of what the world is. In the Xingu area in Brazil, there was a need to create an ethno-map of the region. The community discusses what they want to map and how they want to represent them, but it also needed to be cartographically accurate as this is how you communicate with external bodies. The whole map is created for the community: to use resources, to remember the dead and to defend their land (using patterns of body paint). We can see that protected areas in the Xingu. Another area that he was involved in mapping is near Surinam – in an area the size of Holland with 2000 people, the community recorded information about their region. This helped in justifying the resources and the protection of the area. An area that is very rough to access, and the local survey by the community managed to map the area done that in 6 maps. The community collected much more data than what the map can show – over the coming years, they mapped with different groups millions of hectares and they developed a process of creating the maps. The collaboration with Google Earth Outreach led to the interaction with Chief Amir of the Surui. The link with commitment with Rebecca Moore helped in filling up areas that are missing and attaching video and audio to the map. They then wanted to record illegal logging using mapping tools and this was done with OpenDataKit – the data collection challenges are accuracy, ease of use, speed, etc. In 2008 started to understand REDD and developed the Surui Carbon Project – need a tremendous amount of data from the air and from the ground. The use of information such as the circumference of trees was done with ODK. They use Garmin devices: they weren’t scratch resistance. Now they use a Samsung smartphones that are cheap and can be replaced easily. For the GPS in the rainforest, it is challenging and they use barcode on the trees. They used the ODK build but discovered that it is not an easy interface: using a programmer in the staff and that is a limitation in terms of allowing to build forms easily. The project managed to demonstrate that indigenous people can collect data but the REDD credits were more challenging and they got them in 2013. Cultural maps where created in other indigenous lands in Brazil. The importance not just to demarcate the land but to collect data and help them to manage the area. Today there are many challenges – 13% of the Brazilian territory. In the Brazilian Amazon, there are many communities – 25 mil people of which only 350,00 indigenous for example, Quilombola groups and many other groups. There was no information on other groups and some of them are disadvantaged – e.g. Quilombola required mapping 7000 communities, they are descendent of West African slaves – they were persecuted, faced a lot of violence, and when slavery was abolished they were forgotten, but from the 1980s they are recognised in the constitution, but not enough recognised officially. His team was involved in creating a new map of the 7000 communities for which only on a team of 40 is looking after in the government level in Brasilia. They used approaches that are similar to the Indigenous mapping in order to record information and manage the land. They had people who became experts in mapping and then demonstrating how to map the land using google earth and demonstrating data collection. The communities also collect socio-economic data – using ODK and understanding their community and developing a life plan for the area (plan for the next 10-30 years). The question is who is listening to the information but by whom. A social network analysis of Facebook (which is 83% of users in Brazil use) Looking at interactions show that local association are not linked to environment, human right and there is missing links to health, to a specific campaign on the Belo Monte Power Plant but it is not linked to the community. They care about health, education, income, and only fifth is the environment – need to talk about what matters to communities. How to make conversations about them in the centre of the discussion and move beyond putting them in the corner of the environment. We need to engage with people with their communities in a way that makes sense to them.

 

 

 

 

 

 

 

New paper: Usability and interaction dimensions of participatory noise and ecological monitoring

The EveryAware book provided an opportunity to communicate the results of a research that Dr Charlene Jennett led, together with two Masters students: Joanne (Jo) Summerfield and Eleonora (Nora) Cognetti, with me as an additional advisor. The research was linked to the EveryAware, since Nora explored the user experience of WideNoise, the citizen science noise monitoring app that was used in the project. There is also a link to the Citizen Cyberlab project, since Jo was looking at the field experience in ecological observation, and in particular during a BioBlitz. The chapter provides a Human-Computer Interaction (HCI) perspective to the way technology is used in citizen science projects. You can download the paper here and the proper citation for the chapter is:

Jennett, C., Cognetti, E., Summerfield, J. and Haklay, M. 2017. Usability and interaction dimensions of participatory noise and ecological monitoring. In Loreto, V., Haklay, M., Hotho, A., Servedio, V.C.P, Stumme, G., Theunis, J., Tria, F. (eds.) Participatory Sensing, Opinions and Collective Awareness. Springer. pp.201-212.

The official version of the paper is on Springer site here.

Citizen Cyberlab Summit (day 2)

DSCN1165The second day of the Citizen Cyberlab Summit followed the same pattern of the first day: Two half day sessions, in each one short presentations from guest speakers from outside the project consortium, followed by two demonstrations of specific platform, tool, pilot or learning, and ending with discussion in groups, which were then shared back.

The first session started with History of Citizen Sciences – Bruno Strasser (Uni Geneva) – looking at both practical citizen science and the way it is integrated into the history of science. The Bioscope is a place in Geneva that allowing different public facing activities in the medical and life science: biodiversity, genetic research etc. They are developing new ways of doing microscopy – a microscope which is sharing the imagery with the whole room so it is seen on devices and on turning the microscope from solitary experience to shared one. They are involved in biodiversity research that is aimed to bar-coding DNA of different insects and animals. People collect data, extract DNA and sequence it, and then share it in a national database. Another device that they are using is a simple add-on that turns a smartphone can be turned into powerful macro camera, so children can share images on instagram with bioscope hashtag. They also do ‘Sushi night’ where they tell people what fish you ate if at all…
This link to a European Research Council (ERC) project  – the rise of citizen sciences – on the history of the movement. Is there something like ‘citizen sciences’? From history of science perspective, in the early 20c the amateur scientist is passing and professionals are replacing it. He use a definition of citizen science as amateurs producing scientific knowledge – he is not interested in doing science without the production of knowledge. He noted that there are a lot of names that are used in citizen science research. In particular, the project focus is on experimental sciences – and that because of the laboratory revolution of the 1930s which dominated the 20th century. The lab science created the divide between the sciences and the public (Frankenstein as a pivotal imagery is relevant here). Science popularisation was trying to bridge the gap to the public, but the rise in experimental sciences was coupled with decline of public participation. His classification looks at DIYbio to volunteer computing – identifying observers, analysers etc. and how they become authors of scientific papers. Citizen science is taken by the shift in science policy to science with and for society. Interest in the promises that are attached to it: scientific, educational (learning more about science) and political (more democratic). It’s interesting because it’s an answer to ‘big data’, to the contract of science and society, expertise, participation and democratisation. The difference is demonstrated in the French response following Chernobyl in 1986, with presentation by a leading scientists in France that the particle will stop at the border of France, compared that to Deep Horizon in 2010 with participatory mapping through public lab activities that ‘tell a different story’. In the project, there are 4 core research question: how citizen science transform the relationship between science and society? who are the participants in the ‘citizen sciences’ – we have some demographic data, but no big picture – collective biography of people who are involved in it. Next, what is the ‘moral economies’ that sustain the citizen sciences? such as the give and take that people get out of project and what they want. Motivations and rewards. Finally, how do citizen sciences impact the production of knowledge? What is possible and what is not. He plan to use approaches from digital humanities process. He will build up the database about the area of citizen science, and look at Europe, US and Asia. He is considering how to run it as participatory project. Issues of moral economies are demonstrated in the BOINC use in commercial project. 

Lifelong learning & DIY AFM – En-Te Hwu (Edwin) from Academia Sinica, Taiwan). There are different ways of doing microscopy at different scales – in the past 100 years, we have the concept of seeing is believing, but what about things that we can’t see because of the focused light of the microscope – e.g. under 1 micron. This is possible with scanning electron microscope which costs 500K to 2M USD, and can use only conductive samples, which require manipulation of the sample. The Atomic Force Microscope (AFM) is more affordable 50K to 500K USD but still out of reach to many. This can be used to examine nanofeatures – e.g. carbon nanotubes – we are starting to have higher time and spatial resolution with the more advanced systems. Since 2013, the LEGO2NANO project started – using the DVD head to monitor the prob and other parts to make the AFM affordable. They put an instructable prototype that was mentioned by the press and they called it DIY AFM. They created an augmented reality tool to guide people how to put the device together, and it can be assembled by early high school students – moving from the clean room to the class room.  The tool is being used to look at leafs, CDs – area of 8×8 microns and more. The AFM data can be used with 3D printing – they run a summer school in 2015 and now they have a link to LEGO foundation. They are going through a process of reinventing the DIY AFM, because of patenting and intellectual property rights (IPR) – there is a need to rethink how to do it. They started to rethink the scanner, the control and other parts. They share the development process (using building process platform of MIT media lab). There is a specific application of using the AFM for measuring air pollution at PM2.5. using a DVD – exposing the DVD by removing the protection layer, exposing it for a period of time and then bringing it and measuring the results. They combined the measurements to crowdcrafting for analysis. The concept behind the AFM is done by using LEGO parts, and scanning the Lego points as a demonstration, so students can understand the process. 

wpid-wp-1442566370890.jpgThe morning session included two demonstrations. First, Creativity in Citizen Cyberscience – Charlene Jennett  (UCLIC, UCL) – Charlene is interested in psychological aspects of HCI. Creativity is a challenge in the field of psychology. Different ideas of what is creativity – one view is that it’s about eureka moment as demonstrated in Foldit breakthrough. However, an alternative is to notice everyday creativity of doing thing that are different, or not thought off original. In cyberlab, we are looking at different projects that use technologies and different context. In the first year, the team run interviews with BOINC, Eyewire, transcribe Bentham, Bat Detective, Zooniverse and Mapping for Change – a wide range of citizen science projects. They found many examples  – volunteers drawing pictures of the ships that they were transcribing in Old Weather, or identifying the Green Peas in Galaxy zoo which was a new type of galaxy. There are also creation of chatbots about their work -e.g. in EyeWire to answer questions, visualisation of information, creating dictionaries and further information. The finding showed that the link was about motivation leading to creativity to help the community or the project. They created the model of linking motivation, learning through participation, and volunteer identity that lead to creativity. The tips for projects include: feedback on project progress at individual and project level, having regular communication – forum and social media, community events – e.g. competitions in BOINC, and role management – if you can see someone is doing well, then encourage them to take more responsibility. The looked at the different pilots of Cyberlab – GeoTag-X, Virtual Atom Smasher, Synthetic Biology through iGEM and Extreme Citizen Science. They interview 100 volunteers. Preliminary results – in GeoTag-X, the design of the app is seen as the creative part, while for the analysts there are some of the harder tasks – e.g. the georeferencing of images and sharing techniques which lead to creative solutions. In the iGEM case they’ve seen people develop games and video. in the ExCiteS cases, there is DIY and writing of blog posts and participants being expressive about their own work. There are examples of people creating t-Shirt, or creating maps that are appropriate for their needs.They are asking questions about other projects and how to design for creativity. It is interesting to compare the results of the project to the definition of creativity in the original call for the project. The cyberlab project is opening up questions about creativity more than answering them. 

wpid-wp-1442679548581.jpgPreliminary Results from creativity and learning survey – Laure Kloetzer (university of Geneva). One of the aims of Citizen Cyberlab was to look at different aspects of creativity. The project provided a lot of information from a questionnaire about learning and creativity in citizen science. The general design of the questionnaire was to learn the learning outcomes. Need to remember that out of the whole population, small group participate in citizen science – and within each project, there is a tiny group of people that do most of the work (down to 16 in Transcribed Bentham) and the question of how people turn from the majority, who do very little work to highly active participants is unknown, yet. In Citizen Cyberlab we carried out interviews with participants in citizen science projects, which led to a typology of learning outcomes – which are lot wider than those that are usually expected or discussed in the literature – but they didn’t understand what people actually learn. The hypothesis is that people who engage with the community can learn more than those that doesn’t – the final questionnaire of the project try to quantify learning outcomes (informal learning in citizen science – ILICS survey). The questionnaire was tested in partial pilot. Sent to people in volunteer computing, volunteer thinking and others types. They had about 700 responses, and the analysis only started. Results – age group of participants is diverse from 20-70, but need to analyse it further according to projects. Gender – 2/3 male, third female, and 20% of people just have high school level of education, with 40% with master degree or more – large minority of people have university degree. They got people from 64 countries – US, UK, Germany and France are the main ones (the survey was translated to French). Science is important to most, and a passion for half, and integrated in their profession (25% of participants). Time per week – third of people spend less than 1 hour, and 70% spend 1-5 hours – so the questionnaire captured mostly active people. Results on learning – explore feeling, what people learn, how they learn and confidence (based on the typology from previous stages of the project). The results show that – people who say that they learn something to a lot, and most people accept that they learn on-topic knowledge (about the domain itself – 88%), scientific skills (80%), technological skills (61%), technical skills (58%), with political, collaboration skills and communication skills in about 50% of the cases. The how question – people learn most from project documentation (75%) but also by external resources (70%). Regarding social engagement, about 11% take part in the community, and for 61% it’s the first time in their life that they took such a role. There are different roles – translation, moderating forums with other things in the community that were not recognised in the questionnaire. 25% said that they met people online to share scientific interests – opportunity to share and meet new people. Learning dimensions and types of learners – some people feel that they learn quite a lot about various things, while others focus on specific types of learning. wpid-wp-1442679528037.jpgPrincipal Component Analysis show that learner types correlate with different forms of engagement – more time spent correlate to specific type of learner. There are different dimensions of learning that are not necessarily correlate. The cluster analysis show about 10 groups – people who learn a lot on-topic and about science with increase self-confidence. Second group learn on topic but not much confidence. Group 3, like 2 but less perception of learning. Group 4 don’t seem to learn much but prefer looking at resources. 5 learn somewhat esp about computers. 6 learn through other means. 7 learn by writing and communicating, collaborating and some science. 8 learn only about tools, but have general feeling of learning. 9 learn on topic but not transferable and 10 learn a lot on collaboration and communication – need to work more on this, but these are showing the results and the raw data will be shared in December. 

DSCN1160Following the presentation, the group discussion first explored examples of creativity from a range of projects. In crowdcrafting, when people are not active for a month, they get email with telling them that they will be deleted – one participant created activities that link to the project – e.g. tweeting from a transcriptions from WW I exactly 100 years after it happen. In Cornell Lab of Ornithology, volunteers suggest new protocols and tasks about the project – new ways of modifying things. In the games of ScienceatHome are targeted specifically to explore when problem solving become creative – using the tools and explaining to the researchers how they solve issues. In WCG one volunteered that create graphics from the API that other volunteers use and expect now to see it as part of the project. There is a challenge to project coordinators what to do with such volunteers – should they be part of the core project?
Next, there are questions about roles – giving the end users enough possibilities is one option, while another way is to construct modularising choices, to allow people to combine them in different ways. In ScienceatHome they have decided to put people into specific modes so consciously changing activities. There is wide variety of participants – some want to be fairly passive and low involvement, while other might want to do much more. Also creativity can express itself in different forms, which are not always seem linked to the project. The learning from Citizen Cyberlab is that there isn’t simple way of linking creativity and capture it in computer software, but that you need organisational structure and most importantly, awareness to look out for it and foster it to help it develop. Having complementarity – e.g. bringing game people and science people to interact together is important to creativity. Another point is to consider is to what degree people progress across citizen science projects and type of activities – the example of Rechenkraft.net that without the hackspace it was not possible to make things happen. So it’s volunteers + infrastructure and support that allow for creativity to happen. There are also risks – creating something that you didn’t know before – ignorance – in music there isn’t much risk, but in medical or synthetic biology there can be risks and need to ask if people are stopping their creativity when they see perceived risks.

wpid-wp-1442679513070.jpgThe final session of the summit was dedicated to Evaluation and Sustainability. Starting with The DEVISE project – Tina Philips (Cornell Lab of Ornithology). Tina is involved in the public engagement part of Cornell Lab of Ornithology . Starting from the work on the 2009 of the Public Participation in Scientific Research (PPSR) report – the finding from the CAISE project that scarcity of evaluations, higher engagement suggested deeper learning, and need for a more sensitive measures and lack of overall finding that relate to many projects. The DEVISE project (Developing, Validating, and Implementing Situated Evaluation Instruments) focused on evaluation in citizen science overall – identifying goals and outcomes, building professional opportunities for people in the field of informal learning, and creating a community of practice around this area. Evaluation is about improving the overall effectiveness of programmes and projects. Evaluation is different from research as it is trying to understand strengths and weaknesses of the specific case and is less about universal rules – it’s the localised learning that matter. In DEVISE, they particularly focused on individual learning outcomes. The project used literature review, interviews  with participants, project leaders and practitioners to understand their experience. They looked at a set of different theories of learning. This led to a framework for evaluating PPSR learning outcomes. The framework includes aspects such as interest in science & the environment, self efficacy, motivation, knowledge of the nature of science, skills of science inquiry, and behaviour & stewardship. They also develop scales – short surveys that allow to examine specific tools – e.g. survey about interest in science and nature or survey about self-efficacy for science. There is a user guide for project evaluators that allow to have plan, implement and share guidance. There is a logic model for evaluation that includes Inputs, activities, outputs, short-term and long-term impacts. It is important to note that out of these, usually short and long terms outcomes are not being evaluated. Tina’s research looked at citizen science engagement, and understand how they construct science identity. Together with Heidi Ballard, they looked at contributory, collaborative and co-created projects – including Nestwatch, CoCoRaHS, and Global Community Monitor. They had 83 interviews from low , medium and high contributors and information from project leaders. The data analysis is using qualitative analysis methods and tools (e.g. Nvivo). The interview asked about engagement and what keep participants involved and asking about memorable aspects of their research involvement. There are all sort of extra activities that people bring into interviews – in GCM people say ‘it completely changes the way that they respond to us and actually how much time they even give us because previously without that data, without something tangible’ – powerful experiences through science. The interviews that were coded show that data collection, communicating with others and learning protocols are very common learning outcomes. About two-third of interviewees are also involved in exploring the data, but smaller group analyse and interpret it. Majority of people came with high interest in science, apart of the people who are focused on local environmental issues of water or air quality. Lower engagers tend to feel less connected to the project – and some crave more social outlets. The participants have a strong understanding of citizen science and their role in it. Data transparency is both a barrier and facilitator – participants want to know what is done with their data. QA/QC is important personally and organisationally important. Participants are engaged in wide range of activities beyond the project itself. Group projects may have more impact than individual projects.
Following the presentation, the discussion explore the issue of data – people are concerned about how the data is used, and what is done with it even if they won’t analyse it themselves. In eBird, you can get your raw data, and checking the people that used the data there is the issue of the level in which those who download the data understand how to use it in an appropriate way. 

wpid-wp-1442679499689.jpgThe final guest presentation was Agroecology as citizen science – Peter Hanappe (Sony Computer Science Lab, Paris).  Peter is interested in sustainability, and in previous projects he was involved in working on accessibility issues for people who use wheelchair, the development of NoiseTube, or porting ClimatePrediction BOINC framework to PlayStation, and reducing energy consumption in volunteer computing. In his current work he looks at sustainability in food systems. Agroecology is the science of sustainable agriculture, through reducing reliance on external inputs – trying to design productive ecosystems that produce food. Core issues include soil health and biodiversity, with different ways of implementing systems that will keep them productive. The standard methods of agriculture don’t apply, and need to understand local conditions and the practice of agroecology is very knowledge intensive. Best practices are not always studied scientifically – with many farms in the world that are small (below 2 hectares, 475 millions farms across the world). There are more than 100M households around the world that grow food.  This provide the opportunity for citizen science – each season can be seen as an experiment, with engaging more people and asking them to share information so the knowledge slowly develops to provide all the needed details. Part of his aim is to develop new, free tools and instruments to facilitate the study of agroecology. This can be a basic set with information about temperature and humidity or more complex. The idea to have local community and remote community that share information on a wiki to learn how to improve. Together with a group of enthusiasts that he recruited in Paris, they run CitizenSeeds where they tried different seeds in a systematic way – for example, with a fixed calendar of planting and capturing information People took images and shared information online. The information included how much sunlight plants get and how much humidity the soil have. on p2pfoodlab.net they can see information in a calendar form. They had 80 participants this year. Opportunity for citizen science – challenges include community building, figuring out how much of it is documentation of what worked, compared to experimentation – what are the right way to carry out simple, relevant, reproducible experiments. Also if there is focus on soil health, we need multi-year experiments.  


I opened the last two Demonstrations of the session with a description of the 
Extreme Citizen Science pilots – starting similarly to the first presentation of the day, it is useful to notice the three major period in science (with regard to public participation). First, the early period of science when you needed to be wealthy to participate – although there are examples like Mary Anning, who. for gender, religion and class reasons was not accepted within the emerging scientific establishment as an equal, and it is justified to describe her as citizen scientists, although in full time capacity. However, she’s the exception that point to the rule. More generally, not only science was understood by few, but also the general population had very limited literacy, so it was difficult to engage with them in joint projects. During the period of professional science, there are a whole host of examples for volunteer data collection – from phenology to meteorology and more. As science became more professional, the role of volunteered diminished, and scientists looked for automatic sensors as more reliable mean to collect information. At the same time, until the late 20th century, most of the population had limited education – up to high school mostly, so the tasks that they were asked to perform were limited to data collection. In the last ten years, there are many more people with higher education – especially in industrialised societies, and that is part of the opening of citizen science that we see now. They can participate much more deeply in projects.
Yet, with all these advances, citizen science is still mostly about data collection and basic analysis, and also targeted at the higher levels of education within the population. Therefore, Extreme Citizen Science is about the extremities of citizen science practice – engage people in the whole scientific process, allow them to shape data collection protocols, collect and analyse the data, and use it in ways that suit their goals. It is also important to engage people from all levels of literacy, and to extend it geographically across the world.
The Extreme Citizen Science (ExCiteS) group is developing methodologies that are aimed at facilitating this vision. Tool like GeoKey, which is part of the Cyberlab project, facilitate community control over the data and decision what information is shared and with whom. Community Maps, which are based on GeoKey are way to allow community data collection and visualisation, although there is also a link to EpiCollect, so mobile data collection is possible and then GeoKey managed the information.
These tools can be used for community air quality monitoring, using affordable and accessible methods (diffusion tubes and borrowed black carbon monitors), but also the potential of creating a system that will be suitable for people with low level of literacy. Another pilot project that was carried out in Cyberlab included playshops and exploration of scientific concepts through engagement and play. This also include techniques from Public Lab such as kite and balloon mapping, with potential of linking the outputs to community maps through GeoKey. 

 Finally, CCL Tracker was presented by Jose Luis Fernandez-Marquez (CERN) – the motivations to create the CCL tracker is the need to understand more about participants in citizen cyberscience projects and what they learn. Usual web analytics  provide information about who is visiting the site, how they are visiting and what they are doing. Tools like Google analytics – are not measuring what people do on websites. We want to understand how the 20% of the users doing 80% of the work in citizen cyberscience projects and that require much more information. Using an example of Google Analytics from volunteer computing project, we can see about 16K sessions, 8000 users, from 108 countries and 400 sessions per day. Can see that most are males – we can tell which route they arrived to the website, etc. CCL tracker help to understand the actions performed in the site and measure participants contribution. Need to be able to make the analytics data public and create advanced data aggregation – clustering it so it is not disclosing unwanted details about participants. CCL tracker library work together with Google tag manager and Google analytics. There is also Google Super Proxy to share the information. 

New paper: Footprints in the sky – using student track logs in Google Earth to enhance learning

screen shot for paperIn 2011-2012, together with Richard Treves, I was awarded a Google Faculty Research Award, and we were lucky to work with Paolo Battino for about a year, exploring how to use Google Earth tours for educational aims. The details of the projects and some reports from the project are available on Richard’s blog, who was leading on many aspects of the work. Now, over 2 years since the end of the project, we have a publication in the Journal of Geography in Higher Education. The paper, titled ‘Footprints in the sky: using student track logs from a “bird’s eye view” virtual field trip to enhance learning’, is now out and describes the methodology that we developed for tracking students’ actions.

The abstract of the paper is:

Research into virtual field trips (VFTs) started in the 1990s but, only recently, the maturing technology of devices and networks has made them viable options for educational settings. By considering an experiment, the learning benefits of logging the movement of students within a VFT are shown. The data are visualized by two techniques: “animated path maps” are dynamic animations of students’ movement in a VFT; “paint spray maps” show where students concentrated their visual attention and are static. A technique for producing these visualizations is described and the educational use of tracking data in VFTs is critically discussed.

The paper is available here, and special thanks to Ed Parsons who advised us during the project.