scholarly journals LEGO as Language for Visual Communication

2019 ◽  
Author(s):  
Stuart Flack ◽  
Kevin Ponto ◽  
Travis Tangen ◽  
Karen B. Schloss
Keyword(s):  
Air Quality ◽  
Data Collection ◽  
Citizen Science ◽  
Data Visualization ◽  
Visual Communication ◽  
Data Capture ◽  
Children And Families ◽  
Science Data ◽  
Community Based ◽  
Question Survey

We are using LEGO for a variety of new tasks like surveys, data capture, and data visualization. We have found that LEGO is a low-tech high-touch approach to mapping and data visualization. Through two projects we explore how standard LEGO sets can be used with both children and adults to gather information, present it in an appealing way, and catalyze memorable conversations about that information in community based settings. The first project, “What Color is?” used LEGO to conduct and visualize answers to a 21 question survey with children and families at the 2018 Wisconsin Science Festival. The second project uses LEGO to visualize citizen science data on air quality on the South and Westside of Chicago. We believe that using LEGO for data collection and visualization will enable new forms of fact driven community based advocacy.

Ten years of citizen science data collection of wetland plants in an urban protected area

2015 ◽  
Vol 162 (4) ◽  
pp. 365-373 ◽  
Author(s):  
Fabrizio Buldrini ◽  
Antinisca Simoncelli ◽  
Stefania Accordi ◽  
Giovanna Pezzi ◽  
Daniele Dallai
Keyword(s):  
Data Collection ◽  
Citizen Science ◽  
Protected Area ◽  
Wetland Plants ◽  
Science Data

scholarly journals Estimating disease vector population size from citizen science data

2021 ◽  
Vol 18 (184) ◽  
Author(s):  
Tam Tran ◽  
W. Tanner Porter ◽  
Daniel J. Salkeld ◽  
Melissa A. Prusinski ◽  
Shane T. Jensen ◽  
...  
Keyword(s):  
Data Collection ◽  
Citizen Science ◽  
Large Scale ◽  
Species Abundance ◽  
Natural World ◽  
Tick Population ◽  
Science Data ◽  
Tick Abundance ◽  
Vector Population ◽  
Public Datasets

Citizen science projects have the potential to address hypotheses requiring extremely large datasets that cannot be collected with the financial and labour constraints of most scientific projects. Data collection by the general public could expand the scope of scientific enquiry if these data accurately capture the system under study. However, data collection inconsistencies by the untrained public may result in biased datasets that do not accurately represent the natural world. In this paper, we harness the availability of scientific and public datasets of the Lyme disease tick vector to identify and account for biases in citizen science tick collections. Estimates of tick abundance from the citizen science dataset correspond moderately with estimates from direct surveillance but exhibit consistent biases. These biases can be mitigated by including factors that may impact collector participation or effort in statistical models, which, in turn, result in more accurate estimates of tick population sizes. Accounting for collection biases within large-scale, public participation datasets could update species abundance maps and facilitate using the wealth of citizen science data to answer scientific questions at scales that are not feasible with traditional datasets.

A Standards-based Data Catalogue integrating scientific, community-based and citizen science data across the Arctic

2021 ◽  
Author(s):  
Torill Hamre ◽  
Finn Danielsen ◽  
Michael Køie Poulsen ◽  
Frode Monsen
Keyword(s):  
Citizen Science ◽  
Scientific Community ◽  
The Arctic ◽  
Observation System ◽  
Data Systems ◽  
Science Data ◽  
Community Based ◽  
Horizon 2020 ◽  
Research And Innovation ◽  
Data Collections

<p>INTAROS is a Horizon 2020 research and innovation project developing an integrated Arctic Observation System by extending, improving, and unifying existing systems in the different regions of the Arctic. INTAROS integrates distributed repositories hosting data from ocean, atmosphere, cryosphere and land, including scientific, community-based monitoring (CBM) and citizen science (CS) data. Throughout the project, INTAROS has been working closely with several local communities and citizen science programs across the Arctic, to develop strategies and methods for ingestion of data into repositories enabling the communities to maintain and share data. A number of these CBM and CS data collections have been registered in the INTAROS Data Catalogue. Some of these collections are hosted and sustained by large international programs such as PISUNA, eBird, Secchi Disk Study and GLOBE Observer. Registration in the INTAROS Data Catalogue contributes to making these important data collections better known in a wider community of users with a vested interest in the Arctic. It also enables sharing of metadata through open standards for inclusion in other Arctic data systems. This catalogue is a key component in INTAROS, enabling users to search for data across the targeted spheres to assess their usefulness in applications and geographic areas. The catalogue is based on a world-leading system for data management, the Comprehensive Knowledge Archive Network (CKAN). With rich functionality offered out of the box combined with a flexible extension mechanism, CKAN allows for quickly setting up a fully functional data catalogue. The CKAN open-source community offers numerous extensions that can be used as-is or adapted to implement customised functionality for specific user communities. To hold additional metadata elements requested by the partners we modified the standard database schema of CKAN. The presentation will focus on the current capabilities and plans for sustaining and enhancing the INTAROS Data Catalogue.</p>

scholarly journals The National Eclipse Weather Experiment: use and evaluation of a citizen science tool for schools outreach

2016 ◽  
Vol 374 (2077) ◽  
pp. 20150223 ◽  
Author(s):  
Antonio M. Portas ◽  
Luke Barnard ◽  
Chris Scott ◽  
R. Giles Harrison
Keyword(s):  
Data Collection ◽  
Citizen Science ◽  
Primary Schools ◽  
Weather Data ◽  
Atmospheric Effects ◽  
Science Data ◽  
Science Technology ◽  
And Mathematics ◽  
Citizen Science Project

The National Eclipse Weather Experiment (NEWEx) was a citizen science project for atmospheric data collection from the partial solar eclipse of 20 March 20. Its role as a tool for schools outreach is discussed here, in seeking to bridge the gap between self-identification with the role of a scientist and engagement with science, technology, engineering and mathematics subjects. (The science data generated have had other uses beyond this, explored elsewhere.) We describe the design of webforms for weather data collection, and the use of several external partners for the dissemination of the project nationwide. We estimate that up to 3500 pupils and teachers took part in this experiment, through the 127 schools postcodes identified in the data submission. Further analysis revealed that 43.3% of the schools were primary schools and 35.4% were secondary. In total, 96.3% of participants reported themselves as ‘captivated’ or ‘inspired’ by NEWEx. We also found that 60% of the schools that took part in the experiment lie within the highest quintiles of engagement with higher education, which emphasizes the need for the scientific community to be creative when using citizen science projects to target hard-to-reach audiences. This article is part of the themed issue ‘Atmospheric effects of solar eclipses stimulated by the 2015 UK eclipse’.

An evaluation of a citizen science data collection program for recording wildlife observations along a highway

2014 ◽  
Vol 139 ◽  
pp. 180-187 ◽  
Author(s):  
Kylie Paul ◽  
Michael S. Quinn ◽  
Marcel P. Huijser ◽  
Jonathan Graham ◽  
Len Broberg
Keyword(s):  
Data Collection ◽  
Citizen Science ◽  
Science Data ◽  
Data Collection Program ◽  
Collection Program

scholarly journals The Citizen Science Landscape: From Volunteers to Citizen Sensors and Beyond

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Christina L. Catlin-Groves
Keyword(s):  
Social Networks ◽  
Data Collection ◽  
Citizen Science ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
High Speed ◽  
Image Data ◽  
Science Data ◽  
Current State ◽  
Data Upload

Within conservation and ecology, volunteer participation has always been an important component of research. Within the past two decades, this use of volunteers in research has proliferated and evolved into “citizen science.” Technologies are evolving rapidly. Mobile phone technologies and the emergence and uptake of high-speed Web-capable smart phones with GPS and data upload capabilities can allow instant collection and transmission of data. This is frequently used within everyday life particularly on social networking sites. Embedded sensors allow researchers to validate GPS and image data and are now affordable and regularly used by citizens. With the “perfect storm” of technology, data upload, and social networks, citizen science represents a powerful tool. This paper establishes the current state of citizen science within scientific literature, examines underlying themes, explores further possibilities for utilising citizen science within ecology, biodiversity, and biology, and identifies possible directions for further research. The paper highlights (1) lack of trust in the scientific community about the reliability of citizen science data, (2) the move from standardised data collection methods to data mining available datasets, and (3) the blurring of the line between citizen science and citizen sensors and the need to further explore online social networks for data collection.

Sign in / Sign up

Export Citation Format

Share Document