AAG 2015 notes – day 4 – Citizen Science & OpenStreetMap Studies

The last day of AAG 2015 is about citizen science and OpenStreetMap studies.

The session Beyond motivation? Understanding enthusiasm in citizen science and volunteered geographic information was organised together with Hilary Geoghegan. We were interest to ‘explore and debate current research and practice moving beyond motivation, to consider the associated enthusiasm, materials and meanings of participating in citizen science and VGI.’

As Hilary couldn’t attend the conference, we started the session with a discussion about experiences of enthusiasm – for example, my own experience with IBM World Community Grid.  Jeroen Verplanke raised the addiction in volunteer thinking projects, such as logging in to Zooniverse or Tomnod project, and time fly-by. Mairead de Roiste described mapping wood-pigeon in New Zealand – public got involved because they wanted to help, but when they hear that the data wasn’t use, they might lose interest. Urgency can also be a form influencing participation.

Britta Ricker – University of Washington Tacoma – Look what I can do! Harnessing drone enthusiasm for increased motivation to participate. On-going research. Looking at the Geoweb – it allow people to access information, and made imagery available to the public, and the data is at the whim of whoever give us the data. With drones, we can send them up when we want or need to. Citizen Science is deeply related to geoweb – challenge is to get people involve and make them stay involved. We can harness drone enthusiasm – they evoke negative connotation but also thinking about them for good – humanitarian applications. Evidence for the enthusiasm is provided by YouTube where there are plenty of drone video – 3.44M – lots of action photography: surfing community and GoPro development. People are attached to the drone – jumping to the water to save them. So how the enthusiasm to drones can be harnessed to help participatory mapping. We need to design a workflow around stages: pre-flight, flight, post processing. She partnered with water scientists to explore local issues. There are considerations of costs and popularity – and selected quadcopter for that. DJI Phantom Vision 2+. With drones need to read the manual and plan the flight. There are legal issues of where it is OK to fly, and Esri & MapBox provide information on where you can fly them. Need to think of camera angle – need also to correct fisheye, and then process the images. Stitch imagery can be done manually (MapKnitter/QGIS/ArcGIS). Possible to do it in automated software, but open source (e.g. OpenDroneMap) is not yet good enough in terms of ease of use. Software such as Pix4D is useful but expensive. Working with raster data is difficult, drones require practice, and software/hardware is epensive – not yet ready to everyone. NGOs can start using it. Idea: sharing photos , classifying images together by volunteers.

Brittany Davis – Allegheny College – Motivated to Kill: Lionfish Derbies, Scuba Divers, and Citizen Science. Lionfish are stunning under water – challenging to differentiate between the two sub species but it doesn’t matter if you’re trying to catch them. They are invasive species and are without predators, exploded – especially from 2010. There is a lot of informational campaign and encouraging people to hunt them, especially in dive centres – telling people that it is a way to save a Caribbean reefs. When people transform themselves from ‘benign environmental activity’ to ‘you tell me that I can hunt? cool!’. Lionfish is tasty so having the meat for dinner is a motivation. Then doing ‘lionfish derbies’ – how many can you kill in a day. Seen a lot of enthusiasm for lionfish derbies. Trying to sign up people to where they go but they are not recording where they hunt the lionfish. People go to another site for competition as they want to capture more. REEF trying to encourage a protocol for capturing them, and there are cash prizes for the hunting. They use the catch to encourage people to hunt lionfish. Derbies increase in size – 14832 were removed from 2009 to 2014 and some evidence for the success of the methodology. There was a pressure on ‘safely and humanely capture and euthanase these fish’ – challenge for PADI who run special scuba courses that are linked to conservation. People hear about the hunting and that motivate people to go diving. There is a very specific process of REEF sanctioned lionfish derby, so trying to include recording and public information. But there are challenges below the depth of recreational divers. She also explored if it is possible to improve data collection for scientists.

Cheryl Gilge – University of Washington – The rhetorical flourish of citizen participation (or, the formation of cultural fascism?) offered a theoretical analysis of citizen science and web 2.0 as part of a wider project to understand labour relationships and power. She argues that there is agency to the average citizen to link to their environment. They have the ability to contribute, and to receive information is part of Web 2.0. As a technology layer, it changes both the individual and society levels. The collaboration and participation in Web 2.0 is framed around entrepreneurialism, efficiencies, and innovation. The web is offering many opportunities to help wider projects, where amateur and expert knowledge are both valued. However, there is a risk of reducing the politics of participation – semblance of agency. Democratic potential – but also co-opting the spirit is in evidence. There is plenty of examples of inducing individuals to contribute data and information, researchers are eager to understand motivation over a long period. Rational system to explain what is going on can’t explain the competing goals and values that are in action. The desire to participation is spread – fun, boredom etc. From understanding people as ‘snowflakes’ to unashamed exploitation. Why do people contribute to the wider agenda? As provocation, harnessing crowd potential to neoliberalisation agenda of universities. We give freedom to the efficiency and promise of digital tools. Government promise ‘open government’ or ‘smart cities’ that put efficiency as the top value. Deep libertarian desire for small government is expressed through technology. The government have sensors that reduce cost of monitoring what is happening. In the academic environment – reduce funding, hiring freeze, increase in pressure to publish – an assumption that it is possible to mechanically produce top research. Trading in ideas are less valued. Desire for capacity of information processing, or dealing with humanitarian efforts – projects like Galaxy Zoo require more people to analyse the masses of data that research produces, or mapathons to deal with emergencies. Participants are induced to do more through commitment to the project and harnessing enthusiasm. Adding inducement to the participants. She introduce the concept of micro-fascism from Guattari  – taking over freedoms in the hope of future promises. It enable large group formation to happen – e.g. identities such as I’m Mac/PC – it is harder to disconnect. Fascism can be defined as an ideology that rely on the masses in believing in the larger goals, the unquestioned authority of data in Web 2.0. Belief in technology induce researchers to get data and participation regardless of the costs. Open source is presented as democracy, but there are also similarities with fascism. Participation in the movement and participants must continue to perform. It bring uncomfortable participation – putting hope on these activities, but also happens in top down and bottom up, and Web 2.0. What is the ethical role of researchers who are involved in these projects? How do we value this labour? Need to admit that it is a political.

In a final comment, Teresa Scassa pointed that we need to consider the implication of legitimising drones, killing fish or employing unpaid labour – underlying all is a moral discomfort.

Afternoon, the two sessions on OpenStreetMap that Alan McConchie and I organised, taking the 10th birthday of OSM as a starting point, this session will survey the state of geographical research on OpenStreetMap and recognising that OSM studies are different from VGI. The session is supported by the European COST Energic (COST Action IC1203) network: European Network Exploring Research into Geospatial Information Crowdsourcing.

OpenStreetMap Studies 1 

Jennings Anderson, Robert Soden, Mikel Maron, Marina Kogan & Ken Anderson – University of Colorado, Boulder – The Social Life of OpenStreetMap: What Can We Know from the Data? New Tools and Approaches. OSM provides a platform to understand human centred computing. The is very valuable information in OSM history file, and they built a framework (EPIC OSM) that can run spatial and temporal queries and produces JSON output that can be then analysed. They are use existing tools and software frameworks to deliver it. The framework was demonstrated: can ask questions by day, or by month and even bin them by week and other ways. Running such questions which are evaluated by Ruby, so easy to add more questions and change them. They already use the framework in a paper in CHI about the Haiti earthquake (see video below).  Once they’ve created the underlying framework, they also developed an interface – OSM Markdown – can embed code and see changesets, accumulative nodes collected and classification by type of user. They are also providing information with tags. When analysing Haiti response, they see spike in noted added and what they see in buildings – the tags of collapse=yes

Christian Bittner – Diverse crowds, diverse VGI? Comparing OSM and Wikimapia in JerusalemChristian looked at differences in Wikimapia and OSM as sources of VGI. Especially interested in the social implications such as the way exclusion plays in VGI – challenges between Palestine/Israel – too contradicting stories that play out in a contested space, and there are conflict and fights over narratives that the two sides enact in different areas. With new tools, there is a ‘promise’ of democratisation – so a narrative of collaboration and participation. In crowdsourced geographic information we can ask: who is the crowd, and who is not? Studying social bias in OSM is a topic that is being discussed in the literature. The process is to look at the database of OSM. Analysing the data and metadata and used the municipal boundaries of Jerusalem. Simplified representation of the city, and region are classified by majority – Arab or Jewish. Then used cartograpms according to size of population and the amount of information collected.In OSM, Jewish areas are over-represented, while Arab areas are under-represented. Bias toward male from privileged socio-economic background as participants. In Wikimapia, the process is tagging places and uses visual information from Google. Wikimapia is about qualitative information so objects are messy and overlap, with no definitions of what consist of a place. In Wikimapia, there is much more descriptions of the Arab areas which are over-represented. The amount of information in Wikimpaia is smaller – 2679 objects, compared to 33,411 ways in OSM. In OSM there is little Arabic, and more Hebrew, though Latin is the most used language. Wikimapia is the other way around, with Hebrew in the minority. The crowd is different between projects. There are wider implications – diverse crowd so diverse VGI? VGI is diverse form of data, and they are produced in different ways from different knowledge cultures. He call for very specific studies on each community before claiming that VGI is general form of information.

Tim Elrick  & Georg Glasze – University of Erlangen-Nuremberg, Germany –  A changing mapping practices? Representation of Places of Worship in OpenStreetMap and other sourcesThe start of the process is noticing that churches are presented on official maps, but not a masques, noticing how maps are used to produce specific narratives. What happen in new forms of mapping? In Google Maps, the masque is presented, but not the church, in OSM both are mapped. What is happening? In the old topographic maps, the official NMAs argue that it provides a precise representation – but failing to do so in terms of religious differences. Some state do not include non-Christian places of worship – the federal mapping agency came with symbols for such places (masques, synagogues) but the preference from the states NMAs was for a generic mark for all non-Christian places that do not differentiate between religions. USGS just have single mark for house of worship – with cross. The USGS suggested to carry out crowdsourcing to identify places of worship so they are willing to change. In OSM there are free tagging and marks for religion, but the rendering dictate only some tags. In 2007 there was suggestion to change rendering of non-Christian places. Once Steve Chilton created cartographic symbols for the change. OSM do-ocracy can lead to change, but in other places that use OSM this was not accepted – there are different symbols in OpenCycleMaps. In Germany, there are conflicts about non visible places of worship (e.g. Masque in social club). Adaptive approach to dealing with location in OSM. In Google there is a whole set of data sources that are used, but also crowdsourcing which go to moderators in Google – no accountability or local knolwedge. Places of worship is not transparent. Categorisation and presentation change with new actors – corporate and open data. Google use economy of attention.

Alan McConchie – University of British Columbia – Map Gardening in Practice: Tracing Patterns of Growth and Maintenance in OpenStreetMap. Looking at history of OSM. Editing existing features is an important as adding new ones – having to collaborate and dealing with other people data. In the US, OSM is a mixed of volunteer and imported data – it’s ongoing aspect of the project. Questions: do the ‘explorers’ stick around? the people who like empty spaces . Do imports hinder the growth of the community? and does activity shift to ‘gardening’? The TIGER import in 2007 have been significant to the growth of the project. There are also many other imports – address in Denmark, French land cover, incomplete land cover imports in Canada. There was community backlash from people who were concerned about the impact of imports (e.g. Crowe 2011; Fredrik Ramm, 2012, Tobias Knerr, 2015). The debate is also between different regional factions. There is an assumption that only empty areas are exciting. That is problematic in terms of someone joining now in Germany. New best practices that are evolving Imports in Seattle were used to encourage the community and build it. Zielstra et al. 2013 explored imports show different growths, but not so simple as just to pin it on imports. Alan takes the ‘Wiki Gardening’ concept – people who like to keep things tidy and well maintained. Analysing small areas. Identifying blank spots, but trying to normalise across city in the world – e.g. population from the gridded population of the world. Exploring edits per month. We see many imports happening all the time. At individual city, explore the behaviour of explorers and those that never mapped the unknown. In London, new mappers are coming in while at Vancouver the original mapper are the one that continue to maintain the map. There is power law effects that trump anything else, and shift to new contributors and it is not clear cut.

Monica G. Stephens – University at Buffalo – Discussant: she started looking at OSM only few years ago, because of a statement from Mike Goodchild that women are not included, so done survey of internet users in Google Maps and OSM. She found that geotagging is much more male – more then just sharing image. In her survey she noticed gender bias in OSM. Maps are biased by the norms, traditions, assumptions and politics of map maker (Harley 1989). Biases – but biases of map maker – bikes in Denver (what interest them), or uneven representation of Hebrew in Jerusalem, or Religious attributes. Also there is how the community makes decision – how to display information? what to import? There are issues of ethos – there are fundamental differences in UK and Germany communities to US mapping communities. This lead to interesting conversations between these communities. There are also comparison, Wikimapia, Google Maps, Topo Maps – the tell us what OSM is doing. OSM democracy is more efficient and responding to communities ideas. The discussions on tagging childcare – rejected but there are discussions that led to remapping of tags in response to the critique. Compare to Google Maps, who was creating local knowledge? in Google Maps 96% of reviewers are male (in Google Map Maker 2012), so the question is who is the authority that govern Wikimapia.

OpenStreetMap Studies 2  included the following:

Martin Loidl – Department of Geoinformatics, University of Salzburg – An intrinsic approach for the detection and correction of attributive inconsistencies and semantic heterogeneity in OSM data. Martin come from data modelling perspective, accepting that OSM is based on bottom-up approach, with flat data modelling and attributes, with no restriction on tag usage. There are attributive inconsistencies. Semantics heterogeneity is influencing visualisation, statistics and spatial analysis. Suggesting to improve results by harmonization and correction through estimation. There has been many comparison of OSM quality over the years. There is little work on attribute information. Martin suggested an intrinsic approach that rely on the data in OSM – expecting major roads to be connected and consistent. Showing how you can attributes in completeness. Most of the road in OSM are local roads and  and there is high heterogeneity, but we need them and we should care about them. There are issues with keeping the freedom to tag – it expose the complexity of OSM.

Peter A. Johnson – University of Waterloo Challenges and Constraints to Municipal Government Adoption of OpenStreetMap. The collaboration of MapBox with NYC – agreement on data sharing was his starting point and motivation to explore how we can connect government and citizens to share data. Potentially, OSM community will help with official data, improve it and send it back. Just delivering municipal data over OSM base map is not much – maybe we need to look at mirroring – questions about currency, improvement of our services, and cheaper/easier to get are core questions. Evaluating official data and OSM data. Interview with governments in Canada, with range of sizes – easy in large cities, basic steps in medium and little progress in rural places. No official use of OSM, but do make data available to OSM community, and anecdotal evidence of using it for different jobs unofficially. Not seeing benefits in mirroring data, and they are the authoritative source for information, no other data is relevant. Constraints: not sure that OSM is more accurate and risk averse culture. They question fit with organisation needs, lacking required attributes, and they do see costs in altering existing data. OSM might be relevant to rural and small cities where data is not being updated.

Muki Haklay – University College London COST Energic – A European Network for research of VGI: the role of OSM/VGI/Citizen Science definitionsI’ve used some of the concepts that I first presented in SOTM 2011 in Vienna, and extended them to the general area of citizen science and VGI. Arguing that academics need to be ‘critical friends’, in a nice way, to OSM and other communities. The different talks and Monica points about changes in tagging demonstrate that this approach is effective and helpful.

Discussant: Alan McConchie – University of British Columbia. The later session looked at intrinsic or extrinsic analysis of OSM – such as Martin’s work on internal consistency, there are issues of knowing specific person in the bits of the process who can lead to the change. There is a very tiny group of people that make the decisions, but there is a slow opening towards accountability (e.g. OSM rendering style on Github). There are translation of knowledge and representation that happen in different groups and identifying how to make the information correctly. There is a sense of ‘no one got the right answer’. Industry and NGOs also need to act as critical friends – it will make it a better project. There is also critical GIS conversations – is there ‘fork’ within the OSM studies? We can have conversations about these issues.

Follow up questions explored the privacy of the participants and maybe mentioned it to participants and the community, and also the position as participant or someone who alters the data and as a researcher – the implications of participatory observations.

AAG 2015 notes – day 3 – Civic Technology, Citizen Science, Crowdsourcing and mapping

The sessions today covered Civic technology, citizen science, and the new directions in mapping – Open Source/Crowdsourcing/Big Data

First, Civic technology: governance, equity and inclusion considerations, with Pamela Robinson – Ryerson University (Chair) and Peter A. Johnson – University of Waterloo, Teresa Scassa – University of Ottawa and Jon Corbett – University of British Columbia-Okanagan. The Discussant is Betsy Donald – Queen’s University.

The background of the panel is participatory mapping (Jon), government use of open and geoweb tools (Peter), law (Teresa), urban planning (Pamela), and geography (Betsy) .

First question for the panel: what are the challenges to civic technologiy support government?

Peter – taking technology perspective. Looking at Chicago Open Data site – had a section that doesn’t only deliver CSV that is, actually, specialised knowledge. They have a featured data set – you can download it, or look at it on the map. The ‘problem landlord dataset’ only show points on the map – no information what does it mean or how it came about. The focus is on tech-savvy users that will access open data, and assumption of tech-intermediaries who will use it for civic purposes. If that is the case, shouldn’t it be city staff who use the data and act as infomediaries? Pamela – looked at civic hackathons (see yesterday). City staff are asked to make  a business case for open data and hackathon. It ask to bring business thinking into something that is not about civic engagement (how you monetise that?). It’s a weird tool in terms of the aim of the process which are not financial. There is also pressure to demonstrate an outcome of ‘killer app’ and they are more about bringing people together with tech knowledge and civic minded people. Teresa – open data is equated with free – from regulations, costs, no limitation to use. There are costs associated in making the data free in the first place, and that is a problem in terms of government not giving thought to these costs. Datasets are being opened without due thought to privacy concern. Is open data just a subsidy to companies that use to pay for it? Also free from regulations – part of neoliberalism view of removing all the bureaucracy that is halting the market. But part of it is there with social justice perspective – e.g. requirement about accessibility, language, regulations that are there to protect vulnerable people against abuse. So the concept of free is not simple. Also what happen when the government pass it to the private sector, so they circumvent their own regulations, or the private sector to use the data but without protection. Jon – problematise the question. Relationship of municipal and state. There are examples in Canada that don’t fit the model – e.g. first nation governance. There the data is not that simple. The other issue is the support to government – is the open data movement can be used to resist and challenge government? Renee – the non-profit open north use data to cause problems to the city and demonstrated corruption in government – a very tech-savvy  organisation. Pamela – some forms of collaboration is to get out of the way of community organisations to allow them to do the work. Jon – there can be high level of cynicism on how the data is going to be used. Access to data is not the same as accessibility. There are issues of scale – in large cities there are enough capacity but in smaller cities there is no capacity in government and or civic society to deal with data. Pamela – in Toronto there are urbanists community coming in search of tech support. There are blurred lines between civil servant and civic engagement in free time. Thomas (audience) – in Chicago, people build visualisation at a county budget, also exposing data about closing schools. Also good applications such as streamlining expunging negative records to allow people to develop new career http://www.expunge.io/. There was also the city lands project – http://largelots.org/ – you can buy a lot for $1, and that can be a burden to people who are involved. Renee – heterogenise the state, not to think about local government as ‘them’ and it is organisation in which people make decisions about opening or resisting opening data. There are plenty decisions that are done at individual level. Also worth looking at prior data acquisition. There are examples of extracting data from the city and relationships before the open data. Betsy – what open government mean? What about digital divides? gender, age, social-economic background. Mike – there is a need to consider Marxist notion of free – it is not free in reality as it just allow people to be consumed into a system with different power relationship. I’ve raised that ‘open government’ is coming from view of ‘government as platform’. Renee – civic tech is a mutating terms over the years. Teresa – open government rhetoric are around transparency and accountability where the agenda is around innovations and market solutions to civic problems.
The second question was: How would we start to evaluate the impact of civic technology? Peter – what metrics will we use? money (time saved, internal and external benefits, eyeballs – evaluating hits). Municipal staff want to measure that they do and are looking to justify their work. Jon – need to evaluate impact and value. Scale, and point of evaluation. Scale of interaction and intervention. Should projects be evaluated by the number of people involved? We usually evaluate during the project lifetime but fail to do longer analysis. need to understand long term impacts – beyond page views. Teresa – which impact – economic? use? engagement? from privacy perspective – when government encourage engagement through Google or Twitter – you are actually giving data to Big Data engines not just the government. There is erosion of public/private distinction in services, leading to erosion of citizen rights and recourse? When transit apps record information, there is plenty of information that leaks to private sector companies who don’t have the same responsibilities and obligations. Pamela – civic for whom? when there are income distribution is so different in cities, and we need to understand digital divide at the city level. Teresa – some of the legal infrastructure to deal with protection and access to information when private sector work so closely with the government. Betsy – there are groups that work in big tech companies, which were curios of geographers and what they do, but no idea of social science. Privacy have been given away. Jon – there are windows of opportunity around edifices of open data, where are we going to end up? Teresa – contracting out to external companies can lead to issues of data ownership and that require managing it at the contracting stage.

Citizen Science and Geoweb, with Renee Sieber (Chair) with talks covering a range of areas – from cartography to bird watching.

Andrea Minano – University of Waterloo – Geoweb Tools for Climate Change Adaptation: A Case Study in Nova Scotia’s South Shore. Her work explores the link between participation and citizen science. In terms climate change adaptation it is about understanding impacts in local context, lack of risk awareness – and it also political issue. The participatory Geoweb can be used to display and share information online. She carried out research in Nova Scotia which rely on fisheries, most people live by the shore. People are aware and they’ve seen climate change in front of them – Municipal Climate Change Action Plan (MCCAP) are being developed. Each of the 5 municipalities that she worked with created plan and they are concerned with flooding. They had 3D LiDAR data and can visualise prediction of floods and return periods, but they didn’t know how to use it and what to do with it. She created two prototypes and tested them. She used satellite images as backdrop, she made LiDAR data usable on the web. AdaptNS allow multiple geographic scales and temporal scales – allow people to show concerns and indicate them on the map. Carried out a workshop of 2 hours with 11 participants. People were concerned about critical infrastructure – single road that might be flooded. The tool help people to understand what climate change mean and adaptation discourse at wider scales.

Jana M Viel – UW-Milwaukee – Habitat Preferences of the Common Nighthawk (Chordeiles minor) in Cities and Villages in Southeastern Wisconsin. Nighthawk is active in dawn and dusk – new tropical migrants, they don’t do much during the day. They nest on the ground or flat gravelled roofed. They experience slow population decline in the last 40 years. Maybe there is lack of roof sustrate – not enough gravelled roofs – volunteers started installing gravelled section on roof with little success. In Wisconsin, they try to understand the decline with data from breeding bird survey , Wisconsin nightjar survey, Wisconsin Breeding Bird Atlas – studies don’t cover urban area and lacking observation in dusk. There is a limitation, that need to do the study in the months when the birds are there. The aim of the research is to help monitoring and improve methodology. The study measured some variables in the field but then used other geographic information for analysis. There was help from both volunteers and organisation – there was special volunteer trianing – easy because it’s one type of bird that people should recognise. Volunteers – reason: love birds, fun, help conservation. Half of the people that participate are retired and most people with education and not for profit. Some volunteers drop out but not too many. People used phones to navigate to survey site. People use point count with paper forms. Information was also recorded on eBird. Results – total 31000 survey hours, with 1412 survey in which 98 nighthawks where detected. Isseus: no data, problems with Google Maps, unfamiliar with technology. The summary – success in carry out baseline survey. Clear research question, clear protocol, training and resources, need coordinator that is active, researchers need to update about the analysis and do outreach and thanking volunteers. Sustainability and who will continue the work is an issue – answering phone calls.

Kevin Sparks, Alexander Klippel &Jan Oliver Wallgrün – The Pennsylvania State University with David Mark – NCGIA & Department of Geography, University at Buffalo – Assessing Environmental Information Channels for Citizen Science Land Cover Classification. Kevin looked at COBWEB goals – the project is enabling citizens to collect data and working with them to deal with data quality. Geo-Wiki project which allow people to manage information about land cover. Kevin looked at Degree confluence Project – collected 770 photos and link them to land cover database, and corresponding value to each one of them. – they have 7 samples in each class of the 11 land cover classes – then compared lay participants, vs educated lay participants vs experts. They ask people to select class and say how confidence they are. They created experiment with ground-based photo and another with ground & aerial-based images. Participants recruited through AMT. There was 45.97% agreement with National Land Cover Data. when shown the aerial image, reduced to 42.97% – when looking at the confidence level, the success goes to 71.91% agreement. Variation in participants, interface and stimuli – you see similar patterns that are not influence by these factors but by the semantic nature of land cover classification. Aerial photoes favour more homogonized classes.

Robert Edsall – Idaho State University –  Case Studies in Citizen-enabled Geospatial Inquiry. Exploring from cartographic perspective and interested how society interact with maps. How maps being intermediaries in citizen science projects. From Citizen Science 2015 ocnference, he noticed that there is a growing understanding of the potential of citizen science to be collaborative or co-created projects. In Geogrpahy, we got success in VGI. Asking people to develop hypotheses is less developed, although that happened in PPGIS and PGIS. Participatory GIS and citizen science are parallel in helping the shaping of the environment. Rob is interested in visualisation and visual analytics. Collabroative citizen science does seem to be a good match for visual analytics. Although the tools are sometime design for experts, they can be used by citizens. Incorporating serious games seem to work in some cases – and attract citizen scientists (MacGonigal 2012). We can think of volunteered geographic analysis. Now we can look at examples – nature mapping in Jackson Hole to suggest to people that they can analysed their data, after a while, people disengaged and didn’t want to expose their data and other reasons. The second case study is about historical data – images from different collection, but they are not catalogued or geolocated. They are doing Metadatagems project that helps people to locate information. People can specify ranges and location. We can enable engaged citizens in higher levels of the analysis.

New Directions in Mapping 2: Open Source, Crowd-sourcing and “Big Data”. With Matthew Zook – University of Kentucky (chair) Sean Gorman – Timbr.io Inc. ,  Andrew Hill – CartoDB, Courtney Claessens – Esri , Randy Meech – Mapzen and  Charlie Lloyd – Mapbox.

Questions: future of the map and the mapable? question that what can be mapped doesn’t need to be mapped. Definition of what is the map and what is mappable changes. Mapping is becoming so pervasive that it ‘disappear’. Fear about view of the world that is not representative – only of the digital haves. If the future of the map is crowdsourced what should we do about places that are left out? History the map was always biassed.

What does ‘open mapping’ mean? Is open source/FOSS still a real thing and how do we maintain an open mapping ethos? agreement on the panel that open source is here to stay, and a belief that open mapping where companies and different bodies collaborate to share data openly will win over proprietary datasets.

How do we address the uneven nature of crowd-sourcing and its impact on what and where is mapped? Assumption that people want to map empty areas and it is less motivating when the map is full (wonder if that is true). Issues of what do we do if the crowd falsify information. It is not either/or, we should have an hybrid of government and crowdsourced information together. Need to understand that community diverse and data is diverse – imports, power users, one timers, local and people from far away.

How might we push geographers/mappers ‘beyond the geotag’ and consider other other (and non-spatial) aspects of data? By dragging just the geo part from data in its context, we are losing a lot of important information. Need to tell stories about geo and integrate narratives. We need to tell real stories more naturally. Need to consider relational mapping – we are in network society and extending into different spaces. Adding meaning to mapping has remained difficult – maybe should promote slow mapping. People do create maps and get meaning from them. Fast mapping – it’s easy to make bad map that doesn’t give you any information that help you to understand place. What people are getting out of maps? What happen when you produce bad maps and how to tell it to people?

AAG sessions – Critical GIScience, GeoWeb and Citizen Science

The Association of American Geographers conference is just around the corner – between 21 and 24 April, held in Chicago. I’ve already marked some sessions that I think worth noting (and was involved in the organisation of several sessions, too). Here is a list of interesting sessions, following suggestion to do so by David O’Sullivan and Jim Thatcher:

Tuesday 21st April

8:00 1187 #CritGIS: Pedagogies of Critical GIS – session exploring ‘the pedagogy surrounding critical engagement with societal implications of contemporary digital geospatial technologies’, with Matthew W. Wilson, Ellen Kersten, LaDona G. Knigge, Alexander Tarr,  Francis Harvey, and Clinton Davis.

At the same time, there is a mini-symposium of three sessions, starting with 1156 Digital Connectivity, Inclusion, and Inequality at the World’s Economic Peripheries  (papers session) asking ‘what difference people expect better connectivity to make at the world’s economic peripheries’.

10:00 1256 Digital Connectivity, Inclusion, and Inequality at the World’s Economic Peripheries 2 (papers session)

12:40 1456 Digital Connectivity, Inclusion, and Inequality at the World’s Economic Peripheries 3 (papers session)

Also at 12:40 1487 Where’s the Value? Emerging Digital Economies of Geolocation (panel session) with Jeremy Crampton, Rob Kitchin, Elvin K. Wyly, Agnieszka Leszczynski, David Murakami Wood, Julie Cupples and
Sam Kinsley

2:40 1587 #CritGIS: Social Justice and GIS: Past, Present, and Future –  aimed to ‘reflect, reconsider, and prognosticate on the social, political and ethical issues that GIS brings to bear’ (papers session)

Wednesday 22nd April

For most of the day, there are four sessions dedicated to reflection on Public Participatory GIS or Participatory GIS.

8:00 2153 Looking Backwards and Forwards in Participatory GIS (Papers session)

10:00 2253 Looking Backwards and Forwards in Participatory GIS: Session II (Papers session)

1:20 2453 Looking Backwards and Forwards in Participatory GIS: Session III (Papers session)

2:40 2553 Looking Backwards and Forwards in Participatory GIS: Session IV (Panel session), including Bandana Kar (Chair), and Renee Sieber, Nancy J. Obermeyer, Melinda J. Laituri and myself as panellists.

In Parallel, there are a set of session on critical studies of data and crowdsourcing, including

8:00 2125 Critical Data, Critical Technology: In Praxis (papers session) a session exploring ‘how practitioners are mobilizing data, technologies, and analytics in ways that resonate with ‘critical data and technology studies’.’

10:00 2225 Critical Data, Critical Technology: In Theory 1 (papers session)

1:20 2425 Critical Data, Critical Technology: In Theory 2 (papers session)

After these symposia, there is a citizen science / VGI papers session

3:20 2543 Utilizing Citizen Science for Supporting Geospatial Applications

Finally, there is a papers session about Critical GIS and teaching

5:20 2627 Teaching and Doing Critical GIS in the Undergraduate Classroom ‘This session focuses on the challenges and possibilities of teaching and doing critical GIS in the undergraduate classroom.’

Thursday 23rd April

8:00 3153 Big Data – Perils and Promises (papers session) ‘This session focuses on research on big data, geoprivacy and their applications, and seeks to contribute to current debates about the usability of big data in near real-time applications (e.g., crisis mapping, network analysis).’

But also two sessions on Spatial Big Data and Everyday Life, with ‘papers along methodological, empirical, and theoretical interventions that trace, reconceptualize, or address the everyday spatial materialities of Big Data.’

8:00 3150 Spatial Big Data and Everyday Life I

10:00 3250 Spatial Big Data and Everyday Life II

10:00 3253 Citizen Science and Geoweb (papers session) ‘Given the growth of both Geoweb and Citizen Science, this session focuses on research contributing to current debates about the role of citizen science in Geoweb in generating useful data and information for scientific research’

1:20 3444 New Directions in Mapping 1: Research, jobs, and teaching outside the academy  Panel with Britta Ricker (chair) John Bailey, Andrew Hill, Charlie Loyd, Alan McConchie, and Alyssa Wright.

3:20 3544 New Directions in Mapping 2: Open Source, Crowd-sourcing and “Big Data”

But at the same time there is another critical GIS session

3:20 3545 #CritGIS: On the Political Economy of Geospatial Technologies, a panel with Eric S. Sheppard (chair), and Craig M. Dalton, Laura Beltz Imaoka, Francis Harvey and James Thatcher. ‘The panel considers the degree to which political economies have shifted in the development of GIS since its proliferation in the mid- to late-1990s’

Friday 24th April

8:00 4173 Beyond motivation? Understanding enthusiasm in citizen science and volunteered geographic information (papers session) a session that Hilary Geoghegan and I organised. ‘This session seeks to explore and debate current research and practice moving beyond motivation, to consider the associated enthusiasm, materials and meanings of participating in citizen science and VGI.’

There are two session on OpenStreetMap that Alan McConchie and I organised, Taking the 10th birthday of OSM as a starting point, this session will survey the state of geographical research on OpenStreetMap and recognising that OSM studies are different from VGI. The session is supported by the European COST Energic (COST Action IC1203) network: European Network Exploring Research into Geospatial Information Crowdsourcing.

1:20 4444 OpenStreetMap Studies 1 (papers session)

3:20 4544 OpenStreetMap Studies 2 (papers session) 

UCGIS webinar [Geographic information | Citizen] Science: reciprocal opportunities

At the request of Diana Sinton, the Executive Director of the University Consortium for Geographic Information Science (UCGIS), I gave the seminar talk about the linkage between Geographic Information Science and Citizen Science. A detailed description of the talk and the slides are available here.

The webinar announcement is at http://ucgis.org/ucgis-webinars/geographic-information-citizen-science-reciprocal-opportunities. The webinar was recorded, so for UCGIS members it should be available later on.

OpenStreetMap in GIScience – Experiences, Research, and Applications

OSM in GIScience

A new book has just been published about OpenStreetMap and Geographic Information Science. The book, which was edited by Jamal Jokar Arsanjani, Alexander Zipf, Peter Mooney, Marco Helbich  is “OpenStreetMap in GISciene : Experiences, Research, and applications” contains 16 chapters on different aspects of OpenStreetMap in GIScience including 1) Data Management and Quality, 2) Social Context, 3) Network Modeling and Routing, and 4) Land Management and Urban Form.

I’ve contributed a preface to the book, titled “OpenStreetMap Studies and Volunteered Geographical Information” which, unlike the rest of the book, is accessible freely.

Citizen Science 2015 (second day)

After a very full first day, the second day opened with a breakfast that provided opportunity to meet the board of the Citizen Science Association (CSA), and to talk and welcome people who got up early (starting at 7am) for another full day of citizen science. Around the breakfast tables, new connections were emerging. Similarly to the registration queue in the first day, people where open and friendly, starting conversations with new acquaintances, and sharing their interest in citizen science. An indication to the enthusiasm was that people continued talking as they departed to the morning sessions. CSA breakfast

5A Symposium: Linking Citizen Science and Indigenous Knowledge: an avenue to sustainable development 

The session explored the use of different data collection tools to capture and share traditional knowledge. Dawn Wright, Esri chief scientist started with Emerging Citizen Science Initiatives at Esri. Dawn started with Esri view of science – beyond fundamental science understanding, it is important to see science as protecting life, enabling stewardship and to share information about how the Earth works, how it should look (geodesign) and how we should look at the Earth. As we capture the data with various mobile devices – from mobile phones to watches and sensors we are becoming more geoaware and geoenabled. The area of geotechnologies that enable it – are apps and abilities such as storytelling are very valuable. Esri views geoliteracy as combination of understanding geography and scientific data – issues are more compelling when they are mapped and visualised. The Collector for ArcGIS provide the ability to collect data in the field, and it has been used by scouts as well as in Malawi where it is used by indigenous farmers to help in managing local agriculture. There are also abilities to collect information in the browser with ‘GeoForm’ that support such data collection. Maps were used to collect information about street light coverage and buffering the range that is covered. A third method is a StoryMaps.arcgis.com that allow to tell information with a narrative. Snap2Map is an app that allow to link data collection and put it directly to story-maps. There is also a crowdsource.storymaps.arcgis.com that allow collection of information directly from the browser.

Michalis Vitos, UCL – Sapelli, a data collection platform for non-literate, citizen-scientists in the rainforest. Michalis described the Extreme Citizen Science group – which was set up with the aim to provide tools for communities all over the world. In the Congo-basin communities face challenges from illegal logging and poaching , but forest people have direct competition for resources such as the trees that they use, and with the FLEGT obligations in the Republic of Congo, some protection is emerging. The team collaborate with a local NGOs which works with local communities, and there are challenges including literacy, energy, and communication. Sapelli collector is an application work with different levels that allow the data collection area. The Sapelli launcher locks the interface of the phone, and allow specific functions to be exposed to the user. The issue of connectivity was address in communication procedures that use SMS. The issue of providing electricity can be done in different ways – including while cooking. There is a procedure for engaging with a community – starting with Free and Prior Informed Consent, and the process start with icons, using them in printed form and make sure that the icons are understood – after the agreement on the icons, there is an introduction to the smartphones – how to touch, how to tap and the rest of the basics. The next stage is to try it in the field. Sapelli is now available in Google Play – the next stage is to ensure that we can show the participants what they collected, but as satellite images are difficult to obtain, the group is experimenting with drone imagery and mapping to provide the information back to the community. In terms of the results to the community, the project is moving from development to deployment with a logging company. The development of the icons is based on working with anthropologists who discuss the issues with the community and lead the development of the icons. Not all the icons work and sometime need to be change. The process involved compensating the community for the time and effort that they put in.

Sam Sudar, University of Washington – Collecting data with Open-Data-Kit (ODK) – Sam gave a background on the tool – the current version and the coming ODK 2.0. ODK is information management tools for collecting and storing data and making it usable, targeted at resource-constrained environment – anywhere where there is limited connectivity, without assuming smartphone literacy. It is used all over the world. It is being used in Kenya, and by Jane Goodall Institute (JGI) in Tanzania, the Surui tribe use it in Brazil to gain carbon credits, and the Carter Center in Egypt for election monitoring, as well as WWF in Rwanda. The technology is used in very diverse ways. Need to consider how technology empowers data collection. The ODK workflow is first, build the form, collect the data, and finally aggregate the results. ODK build / ODK XLSform is the way to build it in Excel, then there is ODK collect to render the forms, and finally ODK aggregate can run locally or on Google App Engine. There is a strong community around ODK with much support for it. In ODK 1.0 there is no data update on the mobile device, as it replicated the paper process. There is limitation for customisation of the interface, or linking to sensors. ODK 2.0 can provide better abilities and it allow syncing of information even it is done on the cloud. The ODK survey replacing ODK collect, and the ODK tables is a way to interact with data on the device. The intention is to make it possible to interact with the data in an easier way.

A question from the audience asked if local communities worries about the data collected about them? ODK work with a lot of medical information, but the team doesn’t goes on the ground so it is left to whoever use the system to ensure ethical guidelines are followed. Michalis noted that there are not only problems with external body, but also cultural sensitivities about what data should be seen by whom, and there is an effort to develop tools that are responsive to it.

Tanya Birch, Google Earth – Outreach Community-based field data collection and Google mapping tools the video include Jane Goodall work in Tanzania with Chimpanzee, due to habitat lost, there are less than 300,000 chimpanzee left in the wild. In the video, Lillian Pintea (JGI) noted the importance of satellite images that demonstrate all the bare hills in the area of Tanzania. That lead to improve the life of the local villagers so they become partners in conservation. The local communities are essential – they share the status of the work with the people in the village. The forest monitor role is to work across the area, collect data and monitor it to ensure that they can collected data with ODK. Location information is easier in tablet and then upload it to Google, and then it is shared with global effort to monitor forests. Gombe national park is the laboratory for scaling up across the area of habitat of Chimpanzees and using Google abilities and reach to share it widely.

Another question that came up was: How you have used the tools with youth or challenges of working with young people? Dawn noted that the engagement with youth, the term digital native is true and they end teaching the teachers on how to improve the apps. The presentations discussed the simplicity in technology so you don’t need to know what is going on in the background. Another question is: do people want to change the scale of analysis – standing in the point and taking a picture of a mountain, and how to address different scales? Dawn noted that the map as part of the collection tool allow people to see it as they collect the data and for example allow them to indicate the scale of what they viewed. Michalis noted that there is also the option in Sapelli to measure scale in football pitches, and Luis noted that in CyberTracker, there is an option to indicate that the information was collected in a different place to where the observer is. Data sharing is something that is important, but make sure that it can be exported in something as simple as

6E Symposium: Human-Centred Technologies for Citizen Science 

Kevin Crowston (Syracuse U.) & Andrea Wiggins (U. Maryland  & symposium convener): Project diversity and design implications describe a survey in which most attention was paid to small projects, and by surveying a wider range of projects they discover different practices. To evaluate the design implication they suggested that we need to understand what the goal of the project, the participation activities – from science, conservation, to photography – different things that people are doing, with observations is the most common type of contribution (see First Monday paper). Data quality come up in all the projects and there are different strategies to deal with it. There are diversities of engagement – from conference and meetings to social media. There are also rewards for participation – some projects are not doing rewards at all, others provide volunteer appreciation, training , equipment and another approach is to provide competitive rewards in leaderboards. There are also socialisation – and even formal education. Funding – diverse, from grants, private contributions, to sponsorship and sustainability is an issue.

Mobile and Social Technologies
-Anne Bowser (U. Maryland)  Gamifying phenology with Floracaching app – geocaching for plants – the application focuses on phenology and earlier version was developed for Project BudBurst. Traditional volunteers focus contribution to science, while millennials might be interested in mobile app that is based on games. Embedded maps can be used to create a cache and there is a leader-board and points. Floracaching was created from paper prototyping and focus groups. They found perception of gamification was important to millennials, they also enjoyed competition. Also wanted to be told what to do and feedback on how they’ve done. ‘I’m not going to drive an hour to see a plant bloom’ . Missions can be added to the design and help people to learn the application and the data collection.

-Michalis Vitos (UCL): Sapelli, a mobile data collection platform for non-literate indigenous communities, Michalis covered Sapelli, and the importance of the interface design (see previous session). The design of the icons is being discussed with, effectively, paper prototyping

-Muki Haklay (UCL): Geographical human-computer interaction for citizen science apps (I’ll blog it later!)

-Matt Germonprez, Alan Kolok, U. Nebraska Omaha, & Matt Levy (San Francisco State U.): Enacting citizen science through social media  Matt come from a technology angle – he suggested that social media is providing different form of information, and social media – can it be integrated into a citizen science projects. The science project is to monitor Atrazine which started in 2012, with a process similar to a litmus test, the project worked, but they wanted to use social media in the social setting that they work. Facebook wasn’t used beyond the information, but Twitter and Instagram was used to report observations publicly. The problems – no social conversations, so the next stage they want to maintain social conversation as the next goal. The  project can be found when you search for Lil’ Miss Atrazine.

Developing Infrastructures
-Jen Hammock (Smithsonian Institution): An infrastructure for data distribution and use, the aim of the project of looking at snails – findability problem, a tool that they want to develop is for data search – so following different sources for information, and merging the taxa, location, as well as providing alerts about interests. Notification will be provided to the researcher and to the contributor. There can be knowledge about the person that contribute the information. There are technical and social barriers – will researchers and experienced naturalists be interested in sharing information.

-Yurong He (U. Maryland): Improving biodiversity data sharing among diverse communities. looking at biodiversity – and the encyclopaedia of life. There are content partners who provide the data. She looked at 259 content partners and found 6 types of data providers – and they are professional organisations that operate over time such as IUCN, NHM etc. The second type is repositories, professional database emerge in the 1990s. There are citizen science intiative and communities of interest, such as Xeno-Canto for bird song. Fourth, social media platforms such as wikipedia,  Fifth, education communities who add information while they focus on education and finally subsidiaries. We need to know the practices of the providers more to support sharing of information.

-S. Andrew Sheppard (U. Minnesota & Houston Engineering, Inc.): Facilitating scalability and standardization. Andrew talked about the wq framework. He focused on collection, storage and exchange. Standards are making possible to make projects work together, there are devices, field notes, computers, phones – but it is challenging to coordinate and make them all work together. Web browsers are based on standards are making it possible to work across platforms. Javascript is also supported across platforms. The wq.app provide the ability to collect information. The exchange require sharing data from different sources, Need to build the software to adapt to standards – wq.io is a platform to allow the creation of multiple links. Use standards, HTML5 and build adaptable tools for data exchange

-Stuart Lynn, Adler Planetarium & Zooniverse: Developing tools for the next scientific data deluge. Stuart discussed about their online community. They have 1.2m users. The challenge in the future is that there are going to be many projects and data sources that give huge amount of data. The aim is to partner with machine learning algorithm developers but how to keep the crowd interested and not just give the most difficult cases with no opportunity to learn or progress slowly. Gamification can be stressful, so they try to give more information and learning. They also try to create a community and discuss the issues. There is huge distribution of comments – and deepening engagement. There is no one size fits all and we need to model and understand them better.

Contributors and Communities
-Jenny Preece (U. Maryland): Motivating and demotivating factors for long-term participation – what motivate people to come back again and again. The different motivational aspects – describing the work of the late Dana Rotman who collected information in the US, India and Costa Rica. 142 surveys from the us, 156 from India and also interviews in the three countries. She used grounded theory approach and developed a framework initial, and for long term impact there are internal and external motivation. Demotivations – time, problems with technology, long commitment with the task.

-Carsten Oesterlund, Gabriel Mugar, & Kevin Crowston (Syracuse U.): Technology features and participant motivations, the heterogeneity and variety of participants – how might we approach them? people change over time? looking at zooniverse – specifically planet hunters, there are annotations, talk and other sources of information. The talk pages – new comers and encouraged to annotate and comment about the image and also looking at what other people have done. They also find people that are more experienced. Use of talk change over time, people start putting in comments, then they go down and stop commenting and then later on started putting more information. There is also role discovery in terms of engagement and what they do in their community.

-Charlene Jennet (UCL): Identifying and promoting creativity – creativity is a puzzling question, which is debated in psychology with some people look for breakthrough moment, while other look at everyday creativity. There are examples of projects that led to creativity – such as foldit, in terms of everyday creativity in citizen cyberscience and conducting interviews with volunteers and results include artwork from the old weather forum or the Galaxy Zoo Peas and eyewire chatbots that were created for members. People who are engaged in the project are contributing more to the project. Providing feedback on progress is important, and alos regular communication and personal feedback in blogs and answering in tweeters. Event help and also need to have ability role management.

-Carl Lagoze (U. Michigan) Inferring participant expertise and data quality – focusing on eBird and there is a paper in big data and society. The standard way is to control the provenance of the data. The library is creating ‘porous zone’ so today there is less control over the who area. There are barriers that break down between novices and experts. How can we tell experts/non experts – this happen across areas, and it is sort of distributed sensor network with weak sensors. are there signal in the data that help you to identify people and the quality of their information.

7C Panel: Citizen Science and Disasters: The Case of OpenStreetMap – 

Robert Soden (University of Colorado, Boulder) described the GFDRR project of Open Cities to collect data for resilience planning and explained the reasons to select OpenStreetMap to use for it. Kathmandu is recognised as at risk place, and there was an aim to identify schools that are at risk, but there was a need to do the basic mapping. There was a local partnership with universities in the area. There was a challenge of figuring out data model – number of stories, usage, roof type, wall type, age. There was a need to make students to collect information that will help in modelling the risk. They produced a lot of training material. The project was successful in collecting the data and enriching the information. The process helped in creating an OpenStreetMap community out of it, and then they launched a local NGO (Kathmandu Living Labs). Trust in the data was important and there was a risk of discrediting the data – to deal with that, they involved targeted users early as well as spot check the data and done a fuller assessment of the data. They launching similar projects in Jamaica. Vietnam and Madagascar. They want to engage people in more than just data collection, and how they can be support to grow the community

Mikel Maron (Humanitarian OpenStreetMap Team) Mikel covered what is OpenStreetMap (OSM), the OSM foundation is a different entity than Wikimedia, which is confusing. OSM are a very wide community of many thousands of people that continue to contribute. Humanitarian OpenStreetMap Team (H.O.T) is following the ‘Cute Cat theory for humanitarian maps’ – use something that is alive and people are used to contribute to, when you need it in emergency situations. OSM is used in many organisation and projects in government. Attempts to map all these organisations is challenging. In Bangladesh, there are 6 OSM projects and require cooperation between agencies – at least all projects contribute to the same database. Organisations find it challenging that they need to support but can’t control. Starting from Gaza in 2009, OSM community started to map the area although there was no specific request. OSM was eventually used to create local tourist map. The community in Gaza didn’t continue – providing long term support is difficult.Haiti 2010 helped in producing the data and it was difficult to coordinate, so that led to the tasking manager. MapGive is providing support through imagery to the crowd – a way to support OSM by utilising the DigitalGlobe database. There are development of linking OSM and citizen science. There is very rich data in OSM and there is need to understand social science and data research.

8E Symposium: Ethical Dimensions of Citizen Science Research
Caren Cooper opened with a list of issues: participation vs exploitation; beneficence, maleficence, autonomy and justice; incentives vs manipulation; IP and data ownership; data misuse, sharing accessiblity; opennes vs privacy and security; cultural competence. 

Holly Menninger led yourwildlife.org – the project that she focusing on – home microbiom at home. Asking dust samples from home that volunteers share and they look at the content. Volunteers want to understand their home but also the science. There was the issue of reporting back to participants – They want to understand the information, and they provided some information and it was a challenge to translate the scientific information into something useful. People are interested in the information at home, sometime due to personal issues – e.g. request to get the results because someone is ill in the house. There is a lag of 2 years between samples and results, and it need to be explained to the participants. There is also an issue that the science is exploratory, which mean that there are no specific answers that can be answered for participants.

Madhusudan Katti explored the appropriation of citizens knowledge. In the realm of IP in traditional knowledge is discussed a lot. Appropriating local knowledge and then publishing when the information came from local knowledge through interviews – but the scientists get the fame. Collecting information about engendered species where there is risk from local community. he mentioned the film Living with elephants which focus on the conflicts between humans and elephants but that also might help poachers.

Janet Stemwedel highlighted that even participant-led citizen science can be helped with DIY science. DIY science it is self efficacy, and control the process, so if the participants running the show, than what can go wrong? Who better to protect my autonomy than me? The answer that autonomy is tricky and need good information about potential risks and benefits and your current choices can hurt future prospects for choosing freely (don’t use autonomy to get addicted, or what you do with your personal information), finally our exercise of autonomy can impact others’ prospects of free choice (DNA analysis have an impact on your wider family). Institutional Research Board (IRB) is a mechanism to think it through – potential consequence (good and bad), who could be impacted? strategies for answering the question. Reasons to resist IRB – not legally required, and the academic scientists complain about it, as well as no access to an IRB.

The reason to get over the resistance is that unintentional harm is not a good thing, also to get feedback from more eyes helped to know about tools and approach. Ethical objectivity is to go beyond just gut feeling and discuss with other people.

Anne Bowser discussed the ethics of gamification – the use of game design elements in non-game contexts (using leader boards). Old weather had an element of games, and also the floracaching as an example. There is labour/exploitation too – in games such as Civilization II is done for fun, while you learn about history. Online games are using different approaches to extract more from their users. Does contribution to science cleanse the ethical issues because it’s not for motives? crowdsourcing was critique in different ways. There are also tracking and privacy, so it also provide habits and all sort of details about the users (e.g. in foursquare) – salesforce is getting badges to encourage people to act in specific ways as employees. Ethical citizen science: treat participants as collaborators; don’t waste volunteer time; volunteers are not computers (Prestopnik & Cowston 2012). Ethical design allow participants to be aware of the implication and decide if they want gamification or not.

Lea Shanley – covering data privacy – her awareness came from working with Native American tribes, with participatory mapping. Tribes started to use participatory GIS. There were many things they wanted to map – and the participants had difference in views about sharing the data or not. Some places were careful and some was not. In disaster response, there is all the social media curation, and many people that are open data evangelist and they started sharing location of first aiders location and actually risking them. In citizen science, there is lack of attention to location – places were they recorded, and even real time information that risk physical security of participants. Face recognition is possible. Information collected by volunteer can reveal medical information that can harm people prospects. sensitive information, sacred sites location, endangered species. Toxic environments can risk volunteers. There are also issues with who interpret and manage the data. social norms and reinforcing social norms. An emerging area is security of social media – crowdsourcing teams where hacked in DARPA red balloon challenge. There can be issues with deliberate hacking to citizen science from people who don’t like it.

Dianne Quigley – Northeast Ethics Education Partnership, that came from issues of environmental and social justice to improve ethical knowledge of researchers. When researchers start with a community they start with discussion of risk/benefits and consider who is getting something out of it. Training graduate students to know how to work with communities. avoid harming – non-maleficence; also informed consent of working with communities, protecting data; justice is a way to think of linguistic diversity, respect to local knowledge, and also recruitment in a fair way in terms of representation. Data management and protocols. There is a need to learn humility – to respect the needs and practices of the community.

There are ideas to start an ethics group in the CSA and consider code of ethics or participant bill of rights. do we need to extend IRB oversight? co-created common rule? is there a value in code of ethics or will it be a dead word? The discussion explored the need bottom up projects which also need to consider the impacts and outputs, communication with the public and promising what the research will deliver, and the investment of time in citizen science by early career researchers can also impact their career prospect. These are challenges that are common in community participatory research.

9A Panel: The brave new world of citizen science: reflecting critically on notions of citizenship in citizen science

The panel is specifically reflecting on the citizenship aspects of citizen science. Citizen science is a significant phenomena, and feeling that need a critical voice within it. What is the place of the citizen in citizen science? question about governance, methodologies practices and methodologies. How does it connect to wider democratisation of knowledge?

Eugenia Rodrigues (University of Edinburgh, UK) asked: what model of citizenship it promotes? one way is to look at the demographics, but we can ask about the term – possible to use volunteer, amateur, or extended peer community (as in Post-Normal Science). The term citizen include autonomy, creativity, liberty , responsibility, having a stake and other meaning. What are the citizens doing and are we constructing a story that recognises the citizen scientists as a citizen? The story that is appearing in work in North-east of England dealing with water pollution in local woodland, where they noted that the Environment Agency was not doing things satisfactory way, so their need of their local habitat was overlooked. In this case  we have contextual/experiential knowledge and expert monitoring skills to lead to a change. Citizen science can be seen as counter expertise. We need to include – some classification are trying to control the role of the citizens, the need to control levels of participation to improve quality, do not give space for participants to exercise their citizenship fully.

Shannon Dosemagen (Public Lab) – in public lab there are specific attention to environmental monitoring and there is a need to re-imagine the role. In public lab they prefer to use civic science or community science and not citizen science because it can be controversial or different in different places. They also think of scientists and non-scientists not in a supplicant way. Consider how engage people in the whole process. Different roles play out in different ways – they want to be active about it. There are different roles within the community of public lab but it is about egalitarian approach to roles?

Esther Turnhout (Wageningen University) looking at expertise and quality control in citizen science networks for biodiversity knowledge. Biodiversity knowledge is existing in amateur naturalists and they started using the term citizen science. To conceptualise – there are complex relationships with mainstream science. Biodiversity recording been around for a long time and the data is increasing demand for decision making. What it brought with it is demand to professionalise and increase standards and quality. The validation is the complex networks of amateurs, experts, professionals and decision makers – looking at actors in the network. Validation is done in different places with different motivations – there are hierarchical network inside the naturalists groups and enforcing them with novices. The digitise data is compared with existing observation and there is reciprocity between observer and the process of collecting and organise the data. There are lots of things – butterflies, community of observers, the field guide – the process is circular. But increasingly, validation is imposed and procedural. Validation seizes to be collective and the records no longer circulate. The main concern is to keep check where the data go and belong to the observer. The citizenship dependent on not just turning the data into probabilities. There is a need to maintain control over the data.

Rick Hall (Ignite!, UK) there been different learned societies around the country – the learned societies that emerged from the 18th century, the acts of enclosures and the workhouses enslaved large groups in society. Today, we can ask about Internet barons if they are trying to do the same as mill owners. There is a cultural entitlement in the human right declaration. The current president of the Royal Society – finding things for yourself is at the very heart of science. It matter where it takes place – for example in a popup shop that allows community curiosity labs and explore questions that matter to them. Spaces in schools that young people can take ownership over their investigations. In spaces like Lab_13 are spaces to learn how to become a scientist. The issues are asking young people what people want to know know. We need spaces where citizens learn not just science but how to become scientists… We need more community and civic citizen scientists because the world need more curios minds.

Erinma Ochu (University of Manchester, UK) – as a neuroscientist she found her research that it requires empathy and stories as a way the science evolved as powerful and controlling. What happen when you bring science to the public realm? How to ensure that it is inclusive for women and minorities?

For me, the discussion highlighted that it was mostly about collective action and egalitarianism in the production of knowledge -so expertise without hierarchy.

another observer raised the issue of democratisation and what notion of political actions we would like to see within citizen science

The final keynote was from Amy Robinson EyeWire: Why Do Gamers Enjoy Mapping the Brain? demonstrating the game and how it works. Lessons from EyeWire – it’s been running for 2 years and a lot of things that were learned. The idea: if we build it, they will play – that’s not happen. Actually, carefully crafted, slowly built community – creating the tools, learning about how things are used. Media is crucial – 60% of eyewire registration came within 5 days of major media event. Major media event is in facebook, twitter and other social media – suddenly things are coming from media. Facebook page can convert viewers to participants. Media relations are an active engagement, not just waiting for journalist – share all sort of things, and funny things. Reaching out to media also require being prepared to it – and you need to cope with it and capture it. Create internal analytics to understand how the project works. Engagement is also a major issue – there is a huge drop off after two months. By creating games and missions can provide a reason to capture people’s interest. Prestige within the community can work to motivate them – changing the user handle colour can demonstrate the recognition by the project. There are also specific challenges and set their own challenges. Accuracy and efficiency – using the power players in the game to have a bigger role in the project. How do you recognise a potential power players in your game? Design of the entry page is critical – the page is minimalist and reduce the amount of information that you need to enter the system. They have created all sort of interesting collaboration such as fascinating visualisations. There is also need to take risks and see if they are going to work or not.

Abe Miller-Rushing close the conference asking people to share talks and links, as well as posters will come online. We are aiming to create a community and serve the needs. The new board chair, Greg Newman continue with some take aways from the conference which completed the conference.

Another account of the conference is available at https://wildlifesnpits.wordpress.com/2015/02/12/power-of-the-people-thoughts-from-the-first-citizen-science-association-conference/

OpenStreetMap studies (and why VGI not equal OSM)

As far as I can tell, Nelson et al. (2006) ‘Towards development of a high quality public domain global roads database‘ and Taylor & Caquard (2006) Cybercartography: Maps and Mapping in the Information Era are the first peer-reviewed papers that mention OpenStreetMap. Since then, OpenStreetMap has received plenty of academic attention. More ‘conservative’ search engines such as ScienceDirect or Scopus find 286 and 236 peer reviewed papers (respectively) that mention the project. The ACM digital library finds 461 papers in the areas that are relevant to computing and electronics, while Microsoft Academic Research finds only 112. Google Scholar lists over 9000 (!). Even with the most conservative version from Microsoft, we can see an impact on fields ranging from social science to engineering and physics. So lots to be proud of as a major contribution to knowledge beyond producing maps.

Michael Goodchild, in his 2007 paper that started the research into Volunteered Geographic Information (VGI), mentioned OpenStreetMap (OSM), and since then there is a lot of conflation of OSM and VGI. In some recent papers you can find statements such as ‘OpenstreetMap is considered as one of the most successful and popular VGI projects‘ or ‘the most prominent VGI project OpenStreetMap so, at some level, the boundary between the two is being blurred. I’m part of the problem – for example, with the title of my 2010 paper ‘How good is volunteered geographical information? A comparative study of OpenStreetMap and Ordnance Survey datasetsHowever, the more I think about it, the more uncomfortable I am with this equivalence. I feel that the recent line from Neis & Zielstra (2014) is more accurate: ‘One of the most utilized, analyzed and cited VGI-platforms, with an increasing popularity over the past few years, is OpenStreetMap (OSM)‘. I’ll explain why.

Let’s look at the whole area of OpenStreetMap studies. Over the past decade, several types of research paper have emerged.

First, there is a whole set of research projects that use OSM data because it’s easy to use and free to access (in computer vision or even string theory). These studies are not part of ‘OSM studies’ or VGI, as, for them, this is just data to be used.

Edward Betts. CC-By-SA 2.0 via Wikimedia Commons

Second, there are studies about OSM data: quality, evolution of objects and other aspects from researchers such as Peter Mooney, Pascal Neis, Alex Zipf  and many others.

Third, there are studies that also look at the interactions between the contribution and the data – for example, in trying to infer trustworthiness.

Fourth, there are studies that look at the wider societal aspects of OpenStreetMap, with people like Martin Dodge, Chris Perkins, and Jo Gerlach contributing in interesting discussions.

Finally, there are studies of the social practices in OpenStreetMap as a project, with the work of Yu-Wei Lin, Nama Budhathoki, Manuela Schmidt and others.

[Unfortunately, due to academic practices and publication outlets, many of these papers are locked behind paywalls, but thatis another issue… ]

In short, there is a significant body of knowledge regarding the nature of the project, the implications of what it produces, and ways to understand the information that emerges from it. Clearly, we now know that OSM produces good data and are ware of the patterns of contribution. What is also clear is that many of these patterns are specific to OSM. Because of the importance of OSM to so many application areas (including illustrative maps in string theory!) these insights are very important. Some of these insights are expected to also be present in other VGI projects (hence my suggestions for assertions about VGI) but this needs to be done carefully, only when there is evidence from other projects that this is the case. In short, we should avoid conflating VGI and OSM.