CROWDFORGOOD - YERC EPIIC Platform Design Challenge Part 3

Welcome to the "CROWDFORGOOD - YERC EPIIC Platform Design Challenge Part 3". Topcoder and YERC (Yellowstone Ecological Research Center) are working together to create a new platform to monitor, understand, and improve the health of our planet’s ecosystems called EPIIC (Ecosystem Prognosis Impacts Information Cooperative). This collaboration is part of the “Crowd for Good” initiative (Topcoder's non-profit program) and we are inviting all Topcoder Designers to join and take part in this project to create a better future for our environment.

This is the 3rd challenge of the YERC Topcoder design series challenges planned for the EPIIC project. Even though it’s a non-profit program (No cash prizes available in the challenge), there are YERC Exclusive Swag and TCO20 Points available in this challenge series for the winners along with interesting Grand Prizes at the end of the challenge series.

Read the challenge specification carefully and watch the forums for any questions or feedback concerning this challenge. Let us know if you have any questions in the challenge forum!
CHALLENGE PRIZES

• TCO20 Points (AVD-Large)
• YERC Topcoder Points that can be collected in this challenge series to get the GRAND PRIZES once the project complete (1st place 1700 points, 2nd place 800 points, 3rd place 250 points)
• YERC swag (hats and maps) for the top 3 winners

BACKGROUND OVERVIEW

• This platform, called EPIIC (Ecosystem Prognosis, Impacts, and Information Cooperative), will be an open-source, collaborative effort built on scalable, cloud-based services, to be used by people around the world to help ecosystems around the world in need of protection and restoration. 
• For this initiative to succeed, it will require lots of data in a timely manner, a robust cloud-based infrastructure, and enthusiastic users of the data who will participate in modeling complex ecological systems.
• More information about this project background can be found from this LINK

CHALLENGE GOALS

• Create design screens for Citizen Scientist and Field Biologists Roles

DESIGN CONSIDERATION

• Design Simplicity to presented datasets information
• Use colors or great visual contrast to highlight a comparison of important information.
• Intuitive for the user; should never be left asking "what do I do next?"
• Simplify the display for pages that may be over overcrowded with information
• Needs to have the same consistency with our design base from the previous design challenge

USER STORIES

• You can find all user stories from this google drive LINK 
• For this challenge we will focus on the following user stories:
  • Citizen Scientist
  • Field Biologists

SCREEN REQUIREMENTS
For this challenge, we are looking for the below screens to be created in your submission. The screen functionality details listed below need to be applied as much as possible. However, If there is a better way to accomplish the same goal, then feel free to take creative liberties:

Citizen Scientist Screen Requirements
01) General Screens

• Scientist roles will have all guest and member roles (duplicate the guest and member screens to show the flow from login and see all features that guest and members have) with some new additional features mentioned below.

02) Citizen Scientist Dataset Analysis Screen

• Citizen Scientist will be able to join or subscribe into projects or datasets and will be able to conduct research in collaboration with other EPIIC stakeholders
• For large datasets, the Citizen Scientist want to be able to download a subset for a geographic area by specifying the upper left and lower right GPS coordinates of a bounding box--similar to COASTER.
• Provide a feature where Citizen Scientist can run an analysis to the dataset from the EPIIC platform 
• This analysis should be happen before the dataset being downloaded by the Citizen Scientist, so probably a filter look a like but it filled in with specific analysis methods or filtering the data like daily avg, anomaly trend maps, summarizations, or use another mathematical analytics to the data 

03) Dataset Approval Screen

• Before able to download and use the dataset, the Citizen Scientist needs to ask for a YERC Approval first
• Show terms and condition that needs to be agreed by the Citizen Scientist along with all document standards and guidelines so the citizen scientist can generate data amplification products for sharing and collaboration with other members of the community

04) Report Screen

• Once Approved, the Citizen Scientist would have full access to a wide variety of services needed to be informed and manage ecosystems (but no modeling).
• The Citizen Scientist usually will use the datasets from the EPIIC platform to build ecosystem assessment or annual reports on the “State of the Ecosystem”
• The Citizen Scientist could generate a vast number and type of report, popular articles, journal articles, popular media, policymakers

Field Biologist Screen Requirements
05) Browse Projects Screen

• This user will be able to involve with the full turnkey process, starting with collecting observations (empirical) data in the field (Greater Yellowstone Ecosystem) 
• Provide features where the user can explore and browse all projects in the EPIIC Platform
• Ability to join any projects in the EPIIC as part of the team member to journey into the inner workings of an Ecosystem and gather the EPIIC diagnostics important to sustain its health and engage in restoration and recovery as needed

06) Project Training Screen

• After joining a project, the Field Biologist should be able to see and find required training information before able to jumping into the real environment and collecting data needed for the project
• Provide an area or sub-screen where it has all information at one place, from Manual Guide/Training workflow contains instructions, step by step tutorials, articles, video, etc to learn field protocols and understand how observations of Nature are the fundamental foundation of EPIIC
• Provide training information regarding equipment, workflow to collecting data, or anything else such as what kind of sensors and how it works, how to maintain them, replace them if needed, or deploy new, improved sensors to augment by human sensing (equipped with cell phone apps, drones, and cameras)
• The training information will be different for each project (depends on sensor type being used to collect the data, etc)

07) Project Journal Screen 

• The user may want to devise their own study parallel to the fieldwork that might include non-destructive sampling (e.g., photographic surveys) and engage in writing blogs for YERC in addition to their personal interests (e.g., journalism)
• Provide screens where they can record their experience while gathering data (photos, videos, articles, journals) to the project

IMPORTANT

• Keep things consistent. This means all graphics styles should work together
• All of the graphics should have a similar feel and general aesthetic appearance

MARVEL PROTOTYPE

• We need you to upload your screens to Marvel App
• Please request for marvel app in the challenge forum 
• You MUST include your Marvel app URL (in your marvel app prototype, click on share and then copy the link & share it with your notes/comment on this link while you upload)

DOCUMENTATION

• Design Base (Winning Design from a previous challenge): 
  • Marvel Prototype Link
  • Google Drive Link 
• Two sample datasets from Amphora Platform can be downloaded from This Google Drive Link 
  • "The WaterQuantity file": is a CSV file that contains the depth and temperature data from a sensor for May-Oct 2019.  The depth data is used by in rating curve formula for each site.  For this site, the rating curve formula is 36.18864474767676 + 159.27689683566635x where x is the depth value.  For example, on June 6, 2019, at 7:20 am, the depth was 2.018 and the discharge was 353.0927 cubic ft/s
  • "The NPP file": is a 64 x 110 GeoTIFF raster image where each pixel represents the value of NPP for an 8km square area in the Greater Yellowstone Ecosystem (GYE).  NPP is generated from satellite imagery and measures the difference between how much carbon dioxide is taken in by plants compared to how much is put out by them. This difference is the total amount of carbon dioxide taken in by plants and is called net primary productivity (NPP).  In order to give you an idea of scale, the resolution frequently used for statistical modeling is 100 or 250 square meters.  So for the GYE, this dataset with 100m resolution grows from 7040 pixels to 45,056,000

BRANDING GUIDELINES

• Follow our Existing Design Base 

TARGET DEVICE

• Desktop: minimum 1440px width with Height adjusting accordingly

TARGET AUDIENCE

• EPIIC Scientist (In Scope)
• EPIIC Field Biologist (In Scope): ‘human sensor’ that help with collecting data for EPIIC Platform, usually equipped with a cell phone app and minimal training or a well-seasoned professional biologist
• Guest Role (Out of Scope)
• EPIIC Member (Out of Scope)
• EPIIC Site Admin (Out of Scope)
• EPIIC Steward (Out of Scope)

JUDGING CRITERIA

• Your submission will be judged on the following criteria:
  • Consistency with our design base
  • Overall idea and execution of concepts
  • How well does your design align with the objectives of the challenge
  • Execution and thoughtfulness put into solving the problem
  • The overall design and user experience
  • Cleanliness of screen design and user flow
  • Ease of use

SUBMISSION AND SOURCE FILES
Submission File

• Submit all JPG/PNG image files based on Challenge submission requirements stated above

Source File

• All source files of all graphics created in either Sketch (Recommended), or Adobe XD and saved as an editable layer

Declaration File  

• Declaration files document contains the following information:
  • Stock Photos Name and Source Links from an allowed sources
  • Stock Art/Icons Name and Source Links from an allowed sources
  • Fonts Name and Source Links source from an allowed source
  • MarvelApp share link for review 

FINAL FIXES

• As part of the final fixes phase, you may be asked to modify content or user click paths