Humanitarian OSM Team/HOT Microgrants/Community Impact Microgrants 2021/Proposal/Mapping local plastic pollution challenges that contribute to flood risk intensification: The case of Morogoro urban, Tanzania
Your project
This is an opportunity for you to tell us about your project. In this section we'd like to hear about your community, which local challenge your project addresses, what you plan to do and how, your sustainability plan, and how you plan to share your stories.
Describe the local challenge your project is addressing
In this section please describe in detail the challenge that your project addresses. We recommend your response be a minimum of 200 words and a maximum of 400 words.
Flooding is one of the leading disaster, local people are the ones who mostly affected. Flash floods have been a major challenge to high developing regions in developing countries. Morogoro region in Tanzania is among of regions. The rate of urban development is higher than infrastructure development and maintenance. Blocked and clogged drains have been a major source to urban floodings in Morogoro urban. Plastics plays an important role in facilitating drains clog upon its combination with other solid waste. And responsible people are aware of and try their best to improve drains but when rains comes, it proves that nothing have been tackled. Unavailability of plastic pollution datasets have obscured disaster management teams and urban planners on the trend of the state of plastic pollution as distributed geographically specifically on and near drainage systems. This project address local plastic challenge to flooding disaster intensification. The project will develop broad plastic pollution dataset that will be easily accessible, sufficient and available open source to support decision making on disaster management proactively.
Describe your project
In this section, please provide specific details about your mapping objectives. This should include: how you will contribute to help solve the local challenge you are addressing, what you aim to achieve with funding, what volume of mapping you plan to complete and how, and the number individuals are you aiming to include in mapping activities. We recommend your response be a minimum of 200 words and a maximum of 400 words.
The overall objective of this project is to provide data driven decision support on flood disaster risk and management. The project will address plastic pollution data collection in Morogoro region, Tanzania as a pilot region, Training of community member on the methodology used to facilitate future scope of the project, and develop a base estimation of plastic pollution as distributed geographically. The project outcome is to provide free results, data access and base estimation of plastic pollution that can be used by disaster risk and management teams and urban planners for prioritizing areas of great risk, so they can act early and mitigate the disaster. The project funds will ensure availability of resources used from field to remote analysis, in addition it will energize our mappers, other community members and volunteers to undertake the project effectively and efficiently. The project pilot area is Morogoro urban district (Tanzania) where five wards will be mapped namely; Mazimbu, Mbuyuni, Mji Mkuu, Sabasaba, Sultan area ward. The pilot area has approximately 101 km2 out of 531 km2. The project will spend three months on field work only, each ward to be mapped in two week. A team of 20 mappers will spread systematic to accomplish the mapping activities of whole ward. 1 Community member from sub ward level who are not mapper will accompany a team of mappers to provide assistance on the street layout and they will secure a training on the methodologies used to spread the project for future scope. At least 100 Volunteers from all over the world will provide assistance to interpretation of data by counting the number of plastics they recognized in picture (to be done online by at most 2 month). All volunteers will be provided with training also.
Describe your sustainability plan
In this section please describe how your activities will continue post-funding. If you are applying for funding to purchase equipment, explain who will store/use the equipment you purchase, and if you have long term sustainability plans for your community's development. We recommend your response be a minimum of 200 words and a maximum of 400 words.
The project post-funding activities includes (1) launching of plastic pollution mapping campaign accompany by trainings both on site and online trainings on how to map by capturing images and uploading to respective server to contribute in solving both local and global plastic challenges. This launching expected to involve partnerships with governments institutions, NGOs and community based organization to help scale the campaign as fast as possible. Through partnerships, our community will expose to other opportunity for its survival. (2) Our community plan to develop web portal for easy data interpretation (counting of plastics on images) that will help to preserve more volunteers on the pitch. The web portal will be our baseline investment platform as we will engage in mapping of complex aspects through georeferenced photographing. The web portal will be a center hub for labelling image datasets aimed to develop broad data that will be used as input to train machine learning/ deep learning model to detect plastics from images automatic. Development of AI powered model is the future scope of this project. Web portal will be our key product for achieving and securing both spatial and non-spatial data collection projects that can ingest revenue for the survival of our community.
What are your community defined project goals, and how do you define project success?
Please explain you project goals. This can include: setting goals such as "we will train X number of new mappers", "we will register as a legal entity", or "the data will be used by X", and why these goals are important to your community such as "we intent to be legally registered so that we can receive more grant funding in the future", "we intend to engage X number of women in mapping activities so that we can empower local women" or "we want to build a partnership with X so that our data will be used and trusted". We recommend your response be a minimum of 200 words and a maximum of 400 words.
The project will train at least 100 new mappers from the local community, at least 1000 new mappers from volunteers globally This project will develop broad dataset that will be used by national/regional/district disaster risk and management team and urban planners purposively to intelligently prioritize the risk drains to floods and mitigate proactively; Also it will give a broad picture and initiate researches or modelling on possible movement of plastics to oceans. Our community intend to register as legal entity as soon as possible to alleviate the likelihood and meet the prerequisite for funding from the world biggest donor agents such as USAID, UKAID, IKI etc. Current we work under the custody of Youthmappers network and Sokoine University of Agriculture as our host agent, we aim to scale out and stand as independent community organization that can partner or sign memorandum of understanding with the government such as National bureau of statistics for easy recognition and acceptance of data usage; with universities (from SUA and others) for providing access to grant opportunities; NGOs such as GIZ, GWP, WWF etc. purposively for attracting data collection tenders; and with community organizations such as Youthmappers to access the community easily. The partnership broad aim is to attract or request for funding for biggest and long term projects from the world biggest donors such USAID, UKAID, GCF. We will ensure to involve both mappers, community members and volunteer in equal gender basis to empower more women to contribute to this easiest way of mapping (georeferenced photographing).
What are your community's long term goals?
Please give describe your community's vision. This can include: where you see your community in five years time, how you want your data to be used, future partnerships you'd like to establish, or how you would like your community to grow (or not!). We recommend your response be a minimum of 200 words and a maximum of 400 words.
In 2026, we will be a legal registered entity specializing on data collection. Our data will be easily accessible, sufficient and open source unless the project based donor specify otherwise. We will be hosting a biggest campaign on plastic pollution mapping using georeferenced photographing globally. We will have a web portal where anyone can access from anywhere globally. We expect that our web portal will be important tool for facilitating decision support to policy makers and decision makers, and researchers to modelers. We also expect to contribute a great potential to fighting the fate of plastic pollution. Our partnership vision aims to sign memorandum of understanding with the government such as National bureau of statistics for easy recognition and acceptance of data usage; with universities (from SUA and others) for providing access to grant opportunities; NGOs such as GIZ, GWP, WWF etc. purposively for attracting data collection tenders; and with community organizations such as Youthmappers to access the community easily. The partnership broad aim is to attract or request for funding for biggest and long term projects from the world biggest donors such as USAID, UKAID, GCF. In addition, we will allow data publication to our web portal from our partner organizations.
List the tools you intend to use during your project and why
Please describe which tools you plan to use to collect, update, clean, or store you data and why. For example: "we plan to use HOT's Tasking Manager to coordinate volunteers" or "we will upload our data to X platform because..." We recommend your response be a minimum of 200 words and a maximum of 400 words.
The project will use mobile phone technologies open data kit (ODK) and Kobo collect to collect georeferenced imagery dataset from field. Mobile phone technologies are very cheap, easily accessible and usable by anyone. Kobo toolbox will store all data collected temporarily, google drive will store all collected data permanent. Python libraries especially pandas and numpy will be used to clean our datasets. We recommend python because we expect collection of very large dataset that need automation for its cleaning, python is best and easy to use when it comes to its coding but also it is familiar with our mappers. Google suite service will be used by volunteers globally to access the data in google sheet and edit the column for number of plastic present in respective image. Google sheet allow sharing edits and excel editing is quite familiar by a lot of people. The dataset will be supplied in two phase, phase 1; volunteers will label images, phase 2; dataset will be randomly re-arranged to allow volunteers to re-label for validation. The validation phase also will use google sheet. This validation design is best due to the fact that the project is pilot and it has no any baseline data that can be used for intelligent validation.
Please give examples of how you will use share your stories with others. This can include: how you will publicise your news, where you will collect media content, how you will use social media channels, and if you will reach out beyond your immediate network to share your stories. We recommend your response be a minimum of 200 words and a maximum of 400 words.
Social media platforms (Twitter, Instagram, Facebook and medium) will be our main land pages for sharing the progress of the project activities and different experiences. Emails, WhatsApp, zoom will be our main communication gateway between ourselves and others including those who are beyond our normal network. Our social media accounts will have handled with team nominated from our mappers as a part time activities. Except for medium where it will include almost all mappers and volunteers to write a joint blog based on the experience acquired from field work. 70% of our mapper are rich and good in graphics designing, they will help in designing of social media contents that drive attention and communicate effective about the project. We expect to write and post content on a field work activities basis and weekly basis to summarize what have been done in a short video clip or gif. We will design different content from images to short video clips. Our communication plan will involve WhatsApp mostly because is the mostly used method in our country. Emails will be used to communicate with outside people who are part of the project but are not present in our pilot areas, and zoom meeting will be used to host different trainings to volunteers.
Partnerships
Successful applications will demonstrate one or more partnerships with a local data user. Priority will be given to applications for which the data has been requested by a partnering organisation, or where the partner organisation has expressed interest in collecting the data for a specific use or intervention. Example partners include local non-government organisations (NGOs), community based organisations (CBOs), local governments, companies, universities, schools, and other academic institutions.
Describe who will use your data
It is important that the data you generate during the project is useful, and that it will be used to advance humanitarian and/or development challenges locally. In this section, please include: if the data you will be collecting has been requested by a partnering organisation, if there is an established formal relationship with the partnering organisation, if there is an existing MoU between you and the partnering organisation, and how long have you been working with the partnering organisation. If your organisation or community is going to be the data user, please describe how you will use the data, and how it ties in with your organisation's work. We recommend your response be a minimum of 200 words and a maximum of 400 words.
The project main data user is the local government especially regional/district disaster risk and management team and urban planners. Open street map (OSM) is one of the mostly used platform by urban planners, researchers and disaster risk and management team to access up to date information despite of the fact that there is plenty of data in their database (outdated), and the scale of timeline needed to update data by the government is somehow large. What if we collect data and upload to open street map? It has been recommended by both researchers and urban planners on the development of drainage datasets to tackle floods crisis. For example, in Dar es salaam city planners have expressed a blame on unavailability of drainage dataset that hinder them from engaging and mitigating Dar es salaam floods effectively. Currently Dar es salaam have been mapped to provide that kind of data and this project address the problem for Morogoro urban planners but in different perspective, we will not collect engineering based datasets of drainage systems rather plastics pollutants that contributes to drains clogging. we will fill them with plenty of georeferenced data they need to act effectively in early floods mitigations in Morogoro urban.
Describe any other partnerships you plan to mobilise or establish for the purpose of the project
In this section, please describe any additional partners you might be working with. If there are no additional partners (beyond the data user) this must be stated here. We recommend your response be a minimum of 200 words and a maximum of 400 words.
Seed of hope is our proud partner in this project who will be capable of administering our project financial issues. Sokoine University of Agriculture is our partner and host university on all of our activities. We aim to establish partnership with the local government to ease presentation of our dataset, ensure its safety and applicability as we expect. We aim to mobilize partnership with resilience academy to ease sharing of data to their climate data hub but also to drive attention of resilience academy partners to work with us.
Inclusivity
Successful applications will include a developed strategy for the inclusion of women, girls, and marginalised groups in mapping activities. This includes the number of women, girls or marginalised groups you plan to engage, and the way in which you plan to interact with them.
How will you ensure that your project activities are inclusive?
Please describe how you will engage women and girls, or other marginalised communities in your mapping activities. Please include the number of women, girls or marginalised groups you plan to work with and how, and at which point in your activities you plan to engage them. We recommend your response be a minimum of 200 words and a maximum of 400 words.
The project will be done in 50-50 equal between female and male. From field data collection to data validation, we will ensure equal sharing of duties. During field work, all participant will be 10 females and 10 males, community member also will be alternating for example if today we assisted by male, tomorrow will be by female. On a validation phase which involve volunteers, we plan to host a mapathon based on validation of our dataset that will involves only women. Probably this could drive more attention and participation of female volunteers.
Expansion
Successful applications will show how communities intend to grow community engagement. This includes a practical approach on how many new mappers you aim to recruit and how they will be involved in community activities. Priority will be given to communities that also include a plan for ongoing engagement beyond the grant period. If this is not relevant to your project, please explain why.
Explain how you plan to expand your mapping community
In this section, please include: your approach to recruiting new mappers, how will you engage new mappers, how many new members you plan to recruit, and how will you retain community members throughout the duration of project and beyond. We recommend your response be a minimum of 200 words and a maximum of 400 words.
The project post-activities expect to initiate plastic pollution mapping campaign. The campaign will accompany with a lot of mapathon embedded with prize to attract retention of volunteers and drive in new mappers. This campaign expects to recruit at least 100 new mappers globally that will aid in scaling of campaign activities. Again new recruited mappers will attract other volunteer at their respective area to help contribute in plastic pollution mapping. Transparency is our member retention principles, such that all project we secured or involved in must be shared and all member must provide with all information including project financial flow purposively to build strong trust and accountability among our self.
Collaboration
Priority will be given to applications that collaborate with other OSM communities in the region. This can be country specific or regional and can include collaboration with Youth Mappers Chapters, or members of the HOT community to help with training, validation (as examples). For support in sourcing collaborators, email microgrants@hotosm.org.
Describe other OSM communities you are already working with
This may include Youth Mappers chapters, or members of OSMF (as examples). If you are not already collaborating with an OSM community, please state this and explain how you plan to work with other communities in your project in the following question.
We have been collaborating with OSMTz specifically for delivering training on how to use different tools on open street map platform and field data collection techniques.
Describe other OSM communities you plan to approach, or establish relationships with, for the purpose of the project
We recommend your response be a minimum of 200 words and a maximum of 400 words..
The project plan to reach OSMTz purposively for administering volunteers and providing assistance in both volunteering and advertise volunteering assistance to their network. We aim to collaborate with Open map development Tanzania (OMDTZ) for consultation service on best way to engage in field work; OMDTZ are very experienced in field data collection. The project set much expectations of collaboration with Youth mappers network for labelling tasks and data validation. Youthmappers from all over the world will form large percent of volunteers we expect to acquire.
Project plan and budget
Priority will be given to applications that collaborate with other OSM communities in the region. This can be country specific or regional and can include collaboration with Youth Mappers Chapters, or members of the HOT community to help with training, validation (as examples). For support in sourcing collaborators, email microgrants@hotosm.org.
Budget breakdown
Give your budget breakdown here. If you would like to present your budget in a tabular format, you can use this tool to convert your spreadsheet into a wikitable and paste the code below here
What do you plan to spend the money on? |
Unit being purchased |
Unit description |
Expected cost (in US Dollars) |
Total cost for budget item |
Why is it needed? (please give as much detail as possible) | ||
|---|---|---|---|---|---|---|---|
Project preparation and organization | |||||||
1 |
Transport |
2 |
People |
Lump sum |
$10 USD |
Transportation cost to cover all routes needed during striving for legal permission to conduct field data collection. | |
2 |
Meeting |
2 |
Days |
$20 USD per meeting |
$40 USD |
To complete breakfast for 20 mappers, $1 USD allocated per person | |
3 |
Training |
3 |
Days |
$118 USD per training |
$354 USD |
To complete full day trainings. A cost cover breakfast, lunch and evening tea. | |
4 |
Social media content creator |
1 |
People |
$50 USD |
$50 USD |
Stipend for people who will be concentrating on designing social media content. | |
Field data collection | |||||||
5 |
Reflector jacket |
20 |
Jackets |
$7 USD per Jacket |
$140 USD |
To cover cost for buying reflector jackets for safety and recognition as jacket will be embedded with HOT stickers | |
6 |
Data collectors |
20 |
Days |
$173 USD per day |
$3460 USD |
Stipend to complete field data collection. 20 in total data collector will dispatch in the field, $8.7 USD per data collector. | |
7 |
Community volunteer |
5 |
People |
Lump sum |
$100 USD |
Stipend for community member who volunteer their time to direct data collectors in the respective wards. 1 volunteer will be taken from each ward. | |
7 |
Social media content creator |
1 |
People |
$50 USD |
$50 USD |
Stipend for people who will be concentrating on designing social media content | |
Data preprocessing, labelling and validation | |||||||
8 |
Data cleaning |
2 |
Day |
$17 USD per day |
$34 USD |
Stipend for people who assist in data cleaning. 2 data scientist will assist where by each will receive $8.5 USD per day | |
9 |
Video conferencing |
2 |
Event |
NA |
NA |
Online training on data validation, to be covered by partnering/host institution. | |
10 |
On site data labelers volunteers |
1 |
Wi-Fi |
$30 per week |
$150 USD per 5 weeks |
To complete internet access for volunteers who will work locally | |
11 |
Social media content creator |
1 |
People |
$50 USD |
$50 USD |
Stipend for people who will be concentrating on designing social media content | |
Output dissemination and project report writing | |||||||
12 |
Data modeler |
1 |
People |
$173 USD |
$173 USD |
To cover cost for data scientist who will be paid to develop baseline model for plastic pollution distribution | |
13 |
GIS analyst |
2 |
People |
$8.5 USD per person |
$17 USD |
Stipend for map development | |
14 |
Miscellaneous |
$300 USD |
$300 USD |
To complete extra activities such as buying stationary items, awards to mapathon winners, map printing, sticker printing,etc | |||
Total |
4,928 |
||||||
Project plan
Give your project plan here. If you would like to present your project plan in a tabular format, you can use this tool to convert your spreadsheet into a wikitable and paste the code below here
| Activity | Month | |||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Month 1 | Month 2 | Month 3 | Month 4 | Month 5 | Month 6 | |||||||||||||||||||
| The main project activity is Georeferenced photomapping; it will involve field data collection, data cleaning, labelling, validation and publishing | w1 | w2 | w3 | w4 | w1 | w2 | w3 | w4 | w1 | w2 | w3 | w4 | w1 | w2 | w3 | w4 | w1 | w2 | w3 | w4 | w1 | w2 | w3 | w4 |
| Phase 1: Project preparation and organization | ||||||||||||||||||||||||
| Activity 1: Seek legal permission for field data collection to Morogoro municipality | ||||||||||||||||||||||||
| Activity 2: Project implementation meeting | ||||||||||||||||||||||||
| Activity 3: Developing ODK forms accompany with training on how to capture images | ||||||||||||||||||||||||
| Activity 4: Creating social media content | ||||||||||||||||||||||||
| Phase 2 : Field data collection | ||||||||||||||||||||||||
| Activity 1: Mazimbu ward | ||||||||||||||||||||||||
| Activity 2: Mbuyuni ward | ||||||||||||||||||||||||
| Activity 3: Mji mkuu ward | ||||||||||||||||||||||||
| Activity 4: Sabasaba ward | ||||||||||||||||||||||||
| Activity 5: Sultan area ward | ||||||||||||||||||||||||
| Activity 5: Creating social media content | ||||||||||||||||||||||||
| Phase 3: Data preprocessing, labelling and validation | ||||||||||||||||||||||||
| Activity 1: Data cleaning | ||||||||||||||||||||||||
| Activity 2: Training on data validation | ||||||||||||||||||||||||
| Activity 3: Data labelling (including female mapathon) | ||||||||||||||||||||||||
| Activity 4: Data re-labelling for validation | ||||||||||||||||||||||||
| Activity 5: Creating social media content | ||||||||||||||||||||||||
| Phase 4: Output dissemination and project report writing | ||||||||||||||||||||||||
| Activity 1: Data dissemination to resillience academy for publication in their climate risk databse | ||||||||||||||||||||||||
| Activity 2: Developing baseline model distribution of plastic pollution that will be used to estimate state of pollution in the near future (published in open source server) | ||||||||||||||||||||||||
| Activity 3: Creating static map showing distribution of plastic pollution in the pilot study area | ||||||||||||||||||||||||
| Activity 4: Writing joint blog to publication on medium and other platforms | ||||||||||||||||||||||||
| Activity 5: Creating short video clips representing whole project | ||||||||||||||||||||||||
| Activity 6: Final project report writing | ||||||||||||||||||||||||
Declaration
By submitting this form to Humanitarian OpenStreetMap Team, you certify the information contained in this application is correct, and that if you are awarded a grant, you will use it only for the purposes described above. You will provide written documentation and receipts for all of your expenses to Humanitarian OpenStreetMap Team to demonstrate this. You understand that the decisions made by the HOT Microgrants committee are final.
Frank E Anderson, SMCoSE
Endorsements
Community members are encouraged to endorse your project request here! Please note: We will take endorsements into consideration in the final review but credit will be given to the quality of the application as well as the endorsement (this is not a popularity contest). Endorsements will be checked by HOT’s community team prior to selection to ensure the integrity of the endorsement (ie. that applications are not only endorsed by members of the community that submitted the application)
HOT staff, voting members and board members are welcome to endorse, and give feedback to all proposals. However, those who are taking part in the selection process will not be endorsing or giving feedback due to conflict of interest.
Instructions for Endorsement
- Log in to the wiki if you are not already logged in. - Scroll down to Endorsements and click 'Edit source'. - Add your reason for the endorsement followed by four tilde signs --~~~~ Note: The ~~~~ automatically inserts your name and the current date.
Below is an example an endorsement.
- I fully endorse this project - strong idea and detailed project plan --Kateregga1 (talk) 13:26, 2 February 2021 (UTC)