Humanitarian OSM Team/HOT Microgrants/Community Impact Microgrants 2021/Proposal/Mapping Flash Flood Prone Wards of Mzuzu City
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.
Mzuzu City is one of the fastest-growing cities in Malawi and is the third-largest urban center after Lilongwe and Blantyre. It has a population of 221,272 and it has experienced the highest intercensal growth rate in Malawi at 5.4 percent (beating the national average of 2.9 percent annual population growth) contributing to a population density of 1,516 people per square kilometer (beating the national average of 186 people per square kilometer). This has contributed to uncontrolled development in fragile areas leading to environmental degradation and consequently disasters. Moreover, Mzuzu City is prone to flash floods. For example, In April 2016, the city of Mzuzu experienced the worst floods ever recorded since its establishment, 15 settlements were affected, 19,000 people were displaced, seven people died and seven camps were set up to accommodate the displaced. Participants in the Vulnerability and Capacity Assessment (VCA) that the Malawi Red Cross Society conducted (see https://www.gis-malawi.com/resources/pdf/Mzuzu%20ECHO%20STRIM%20eVCA%20Report.pdf) in November 2019 said that the major underlying factors for floods in the city are poor drainage, poor waste management, and uncontrolled development and settlement in fragile areas especially around streams. Poor drainage and solid waste and wastewater management in slums such as Salisbury in Chibanja do not only contribute to flooding but also disease outbreak hazards especially Cholera. In order to solve the problem of poor drainage systems, new drains have to be constructed, existing ones need repair and rubbish and soil should be cleared from existing drains while widening them at the same time. To inform such activities, the multiple stakeholders involved, from City Council up to the communities, need adequate data and information with the right spatial and temporal resolution. However, this data and information as well as corresponding flood models are currently missing. Our project, therefore, aims to collect and make data available that would help to improve the drainage system in Mzuzu City through an adequate model.
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.
Our flood model development with community mapped data includes three steps (1) data acquisition, (2) validation of the data collected, (3) model development and implementation. Our proposal will leverage the approaches as developed for the Ramani Huria https://ramanihuria.org/en/ project.
- Our data survey will use simple and easily accessible local devices and tools to have an affordable and replicable approach. Our project will adapt the ODK forms as developed for Tanzania. In terms of tags see https://wiki.openstreetmap.org/wiki/Dar_es_Salaam/Ramani_Huria#Drainage). They form a comprehensible survey on drainage elements, with clearly defined features that cannot be accidentally overseen, such as their geographical attributes and system states that may cause flooding such as maintenance states and clogging. We propose to segment blockage (e.g. 50%, 75%, or 100% blocked) and add which artificial objects (plastic waste) or vegetation cause the clogging. For the most part, drainage features are visible on the surface and located alongside roads. This makes it easy for mapping requiring little training. A bit more training will be required for the use of the GNSS Ardusimple ublox devices with antennas that enable capturing drainage vertical height. We aim to map 15 wards of Mzuzu City (Zolozolo west, Zolozolo East, Chibanja, Mchangautuwa west, Mchengautuwa East, Jombo, Mzilawayingwe, Katawa, Kaninginina, Msongwe, Luwinga, Chiputula, Msasa, Chibabwi, and Nlhoronge/Lupaso) deploying 15 enumerators (three groups of 5 each covering five wards). A group will first finish one ward before shifting to the next.
- The survey will be quality assured for completeness of attributes and topological connectivity. If errors are encountered, the data must be recorded again or the survey design may be modified, forming an iterative relationship with the previous step of the process. The datasets will be made available freely and openly so that other surveyors or users can comment on and benefit from the data.
- The quality assurance is followed by the model development phase during which the acquired data is used to build and calibrate a flood model using suitable hydrodynamic modeling software (the model development is led by the MSc student jointly supervised by VU Amsterdam, 510, and OSM Malawi and not funded through the microgrant). The model will increase the understanding of the causes of the flash floods, giving recommendations for DRR interventions such as early warning systems development or implementation of mitigation measures.
To conclude, the funding will allow the local OSM community to accurately map small scale drainage channels using open source tools. This community mapped drainage data will improve the performance of flood models and in this way support better-targeted mitigation and response interventions.
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.
Developing further the flood risk community mapping approach for urban areas as developed in Ramani Huria.
- Build the capacity in Malawi to do accurate drainage surveys including vertical height with the use of affordable GNSS devices. This includes developing open source training material that can be used to train local students/mappers.
- Better interfacing to the technology will be developed as well as very good training materials so that upscaling of the technology to other OSM communities becomes easier and faster. Herefore, 510 will engage with MSc students hydrology from the VU Amsterdam IVM institute and other data volunteers from 510 with software skills.
- Support writing a scientific publication on our project and its results.
Scaling within Malawi to other cities: The 15 enumerators trained will be involved also in future OSM Malawi activities and will be partly also recruited from amongst Malawi Red Cross Society disaster management volunteers so that they can continue to share their skills also with other volunteers.
The Malawi Red Cross Society will submit a proposal to EU ECHO that includes urban preparedness in Blantyre. If awarded, our approach could be replicated to Blantyre.
Currently, work on the drainage system is ongoing in Lilongwe City as well, funded by the World Bank with Engidro (a subcontractor, led by professor António Jorge Monteiro). They are working on creating a drainage inventory (vector with Width, Depth, Invert Level, and Condition) and drainage systems model, but they only use high precision drone data and not community mapped data.
The project will involve students from Mzuzu University as well as faculty (such as Mavuto Tembo) and also Polytechnic Malawi and Chancellor College where the trainer of trainers under MASDAP/OSM have developed capacity in GIS. Under community mapping capacity was developed at regional, district, and some institutions on how to collect, process, and share data. Participants were exposed to GPS for data collection, JOSM for data processing, and OSM as well as MASDAP for data sharing.
Scaling to other countries
We will develop a comprehensive but straightforward OSM oriented method that can be applied to related, data-scarce regions. This method will be shared in OSM and Red Cross platforms such as the Global Dialogue Platform the same approach can be used in other urban contexts in developing countries. Our project will also engage with EU ECHO and World Bank to discuss if they see options for scaling. EU ECHO is currently also developing new approaches for urban preparedness for DRR.
What are your community defined project goals, and how do you define project success?
Please explain your 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.
Our community defined project goals are:
- We will train 15 mappers in total for this campaign.
- We will engage 18 women in the mapping activities as well as 3 female researchers from universities in Malawi such as Chresceuntia Matambo- Msasa from Polytechnic who worked on physical vulnerability of buildings and households’ coping strategies to floods along Mchesi river in Lilongwe City.
- The data we create will be used by City Council, Mzuzu City, Mzuzu University, Department of Disaster Management Affairs (DODMA), Department of Climate Change and Meteorological Services (DCCMS), Department of Water Resources (DWR), humanitarian organizations and other interested Institutions. The data will be shared on public portals such as Malawi Spatial Data Port MASDAP and the Malawi Atlas.
- Our project will seriously take into account the specific vulnerabilities of women, girls, and marginalised groups in the context of flood-induced crises. This will be done by (1) assessing the distribution and prevalence of said vulnerable groups in Mzuzu City, (2) include such information into making sure we map areas equitably (3) by assisting humanitarian organizations in defining targeted interventions to build the resilience of these groups.
Our project successes are defined as in terms of outcomes:
- Increased capacity to map vulnerable drainage systems (through training local mappers and actual mapping)
- Identification of the shortcomings in drainage systems that lead to increased flash flood risk
The overall impact will be that the flash flood risk of flash flood-prone wards is reduced through the improvement of early warning early action and through the implementation of mitigation measures.
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.
The vision is that this initiative has to reach out to other urban areas that are affected by flash floods in Malawi. Such initiatives will ensure that capacity is built for Malawi in the process. There will be specific models developed for different areas responding to different magnitudes of flash floods in specific urban areas.
Again, there is a need to make data available to the public once it is collected and processed, which will help to respond to disasters more easily as data will be available. This availability of data will also prevent duplication of efforts.
Our community will have an increased awareness for local flash flood risk and risk drivers in urban context. In five years, flood-prone wards in urban areas have the knowledge and capacity to build and maintain an adequate drainage system that reduces flash flood risk and related secondary disaster risks such as cholera.
It is wanted that data and method of data acquisition are used and improved in the future for other flood-prone urban areas. Data can be easily accessed via OSM and the methods as well through wiki OSM & scientific (open-source) publication.
Establish a robust relationship with Malawi Red Cross, 510 who will further help in capacity building as they will also take some people on voluntary basis or when there any project requiring more people.
In five years we want to have grown the mapping community to further develop OSM features to lay the foundation for further vulnerability assessments and to invite future research for detailed risk assessments. In a similar way, Ramani Huria in Dar Es Salaam had very positive consequences because of the huge amounts of community mapped data that became available.
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 Open Data Kit Collect application (ODK) is at the core of this project. It is a survey application allowing for advanced questionnaires, with the additional function that it can add geopoints and geotraces to each data entry, making use of the GPS in the smartphone that records the survey. Ramani Huria tested and developed the geotracing function in collaboration with the ODK developers, making it fit-for-purpose to record the stretch of drainage segments. The surveyor starts the geotrace at the beginning of the drainage segment, walks along with it, and ends the geotrace at the end of the segment. A new geotrace is started if the elevation from the starting point of the trace is exceeding approximately 10 centimeters. The drainage mapping team starts with identifying the most downstream point of an area, where the drainage system reaches a water body, records a geopoint and labels it as outflow in the ODK application. Then, they map the drainage system starting from the most downstream point and walk upstream. In this way, the beginning of a geotrace is always the downstream point of a segment, and the end of the geotrace is the upstream point. The cross-sections of drainage segments are measured with measuring sticks and tape measures. The questionnaires in the ODK application are created as XLSForms (a form standard to author advanced forms in Excel). The functions include, for example, metadata, GPS accuracy thresholds, conditional questions, constraints, calculations, and multiple language support. The questions are programmed in Excel using a certain syntax, and then the XLSForm is uploaded to the KoBo Toolbox server. The surveyors then connect to this server in the ODK application, download the form, perform the survey and upload the results again.
The organizational structure of our project will build upon this methodology. Supervisors manage the XLSForms and keep track of the work process. Mappers are out in the field collecting data and upload the survey results to the KoBo Toolbox. Data cleaners download the results and validate it JOSM before uploading the data to OSM. There are also digitisers at OSM Chapter Malawi who were trained and are teaching others, who make maps from aerial imagery, supporting both local and international projects. Such capacity was developed during community mapping where 15 districts that were affected by floods in 2015 in Malawi were mapped. The group that was trained were from different government institutions and district councils.
- Open Data Kit Collect Application
- Android smartphones with GPS
- GNSS Ardusimple ublox devices with antennas
- OSM to add the drainage data?
- Upload data to MASDAP and Malawi Atlas https://www.gis-malawi.com/
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.
The activities and results of this project will be advertised through a dedicated digital outreach campaign, to be hosted on the (social) media channels of the project team as well as its partners. So we will provent social media content that can be used by OSM Malawi, HOTOSM, Government of Malawi (department of surveys), Malawi Red Cross Society, Netherlands Red Cross and others in the Red Cross movement, which reach 193 Red Cross national societies). Also, the results can be shared via the European Commission Disaster Risk Management Knowledge Centre. The Malawi Red Cross Society has also just started an online distance course with Malawi University of Science and Technology (MUST) on Build capacity in geo-spatial data management for improving disaster risk management in Malawi and the new findings can be included in this curriculum.
- https://www.facebook.com/groups/osm.mw/
- https://www.facebook.com/malawiredcross
- Malawi whatsapp groups such as the Malawi Weather Chaser App and disaster management committee apps.
- Mzuzu University
- https://www.510.global/blog-roll/
- https://www.facebook.com/510global/#.
- https://twitter.com/510global#.
- https://www.forecast-based-financing.org/
- https://www.anticipation-hub.org/
- http://data.ifrc.org/
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.
Bearing in mind that this data is very important as there is a gap this data will be useful to different stakeholders: different players in the field of disaster risk management and response such as government institutions (City Council Mzuzu, DODMA, DWR, DCCMS) and Non-Governmental organizations and Red Cross. Also, universities in Malawi will benefit. International institutions involved in research activities will also benefit from this data, such as World Bank, GFDRR, EU ECHO.
This will be achieved when data is shared on public portals such as MASDAP and when the findings are shared as explained under question 20.
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.
Our project is directly collaborating with the MRCS data team (Gumbi Gumbi, Simon Tembo) and 510 (Marc van den Homberg, PhD) as well as with the VU Amsterdam IVM institute through the MSc student Mees van Milligen de Wit (who just started his MSc research) and his supervisors Hans de Moel PhD and Marleen de Ruiter PhD. This will bring in experience which is vital for the achievement of the modelling goals of the project. Mavuto Tembo from Mzuzu University will support with expertise and data on Mzuzu City. The academia will also be of great importance as they have experience from community mapping and OSM initiatives. Furthermore, Hessel Winsemius from Rainbowsensing (https://rainbowsensing.com/), will support with technical advice based on his involvement in the Ramania Huria project and his supervision of Louise Petterson. Louise was at that time an MSc student now she is an urban resilience consultant at the World Bank Tanzania (see her thesis here https://repository.tudelft.nl/islandora/object/uuid%3A7d1d5b0e-f51c-4287-95fe-1b0f62b85a27 and a publication https://www.frontiersin.org/articles/10.3389/feart.2020.00304/full). Also, Ivan Gayton and Iddy Chazua from OSM Tanzania will support with their on the ground experience in terms of doing drainage community mapping. Francis Nkoka from World Bank Malawi will also assist.
Mzuzu City Council can also assist through their GIS officer Dunisani Mbekeyan
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 team engaged in this exercise will be gender-balanced, for example, we propose 15 people who will be involved in data collection of which 7 will be women in order to achieve a gender balance of 50-50. These women will be empowered so as to ensure not only gender balance but also achieve objectives of the activity. In the past we have trained some women and in data collection using GPS and data processing using JOSM.
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 vision is that this initiative has to reach out to other areas which are affected by floods in Malawi. Such initiatives will ensure Capacity built for Malawi in the process. There will be specific models developed for different areas responding to different magnitude of floods in specific areas.
Again there is a need to make data available to the public once its collected and processed, which will help to respond to disaster easily as data will be available. This availability of data will also prevent duplication of efforts.
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.
Ivan Gayton and Iddy Chazua from OSM Tanzania will support our project. Also, the Chancellor College Youth Mappers in Malawi and different capacity that was developed during Community Mapping where 15 districts that experienced floods in 2015 were mapped. 510 will also support via Missing Maps, Koos Krijnders from 510 has recently organized a mapathon for Karonga district to finish mapping some missing parts. If necessary, this way we can also organize a mapathon for a part of Mzuzu City.
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..
Previously, there were other initiative to train people on GPS/JOSM/OSM/MASDAP/GIS so as to equip them in data collection, processing as well as sharing on public portals. These were from academia, district councils and various Government institutions. Some OSM chapters were also established in the process such as Chancellor Colledge, Mzuzu University and the Polytechnic.
There were also some partnership with institutions such as COOPI where we trained some people from various institutions. Such initiatives would be called upon to be engaged in this exercise.
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 | Expected cost (in US Dollars) |
Total cost for budget item | Why is it needed? (please give as much detail as possible) | |
|---|---|---|---|---|---|
| 1 | Meeting with mappers | 1 | $38.96 | $545.45 | This will be the first meeting to communicate the work plan with the mapping team and structure organization. This will cover accommodation, breakfast and lunch for the participants |
| 2 | Train mappers with Equipment | 14 | $38.96 | $545.45 | This training is meant to equip the field team and make them familiar with the equipment i.e. how to use and download data. The team will also be taught how best to collect, organize and store the data before they start the actual field work. |
| 3 | Stipend for Field work for mappers | 14 | $127.09 | $1,779.22 | This is for the upkeep for the field team and it includes accommodation, breakfast and Supper |
| 4 | Validation of data and mapping campaigns | 3 | $38.96 | $116.88 | As team will be doing the campaigns , this is meant for accommodation, breakfast and supper |
| 5 | Local event + Webinar for Capacity Development | 2 | $38.96 | $77.92 | These are meetings that will take place to build capacity. This will involve bringing people together. It will require accommodation, breakfast, lunch and supper for the participants |
| 6 | Communication | 3 | $64.94 | $64.94 | This is meant to cutter for units for communication purpose for the team in the field as well as general communication for organization of the meetings |
| 7 | Writing scientific paper for publishing | 2 | $64.94 | $129.87 | The allocation is meant for supporting the writing and publication of the paper that will be published after exercise has been completed in Mzuzu |
| 8 | Transportation | 3 | $389.61 | $1,168.83 | This is meant for hiring 4x4 Vehicles. There will be 6 vehicles, 2 for each group |
| 9 | Conference facility | 2 | 116.88 | $233.77 | This is required for a data centre where downloading, processing and uploading of the data will be taking place. There will be some few individuals who will be left at the centre as other have gone for data collection in the field |
| 10 | Fuel | 2 | $116.89 | $233.77 | For field data collection and meetings |
| 11 | Internet | 3 | $34.63 | $103.90 | To cater for meetings and Data processing period |
| Total | $ 5,000 | ||||
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 | Months | |||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Month 1 | Month 2 | Month 3 | Month 4 | Month 5 | Month 6 | |||||||||||||||||||
| Schematic work plan for proposed OSM project Mzuzu city, Malawi 2021 | 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 (Acquire equipment & set-up mapping organisation) | ||||||||||||||||||||||||
| Activity 1: Purchase GNSS devices. Make sure all mappers have necessary equipment | ||||||||||||||||||||||||
| Activity 2: Communicate work plan to mappers and structure organisation. Evaluate every month and organise meetings to keep everyone involved | ||||||||||||||||||||||||
| Activity 3: Prepare relevant model for direct use of the OSM data (510 & VU university Amsterdam) | ||||||||||||||||||||||||
| Phase 2 (Data collection) | ||||||||||||||||||||||||
| Activity 1: Train mappers to work with equipment and to correctly acquire data | ||||||||||||||||||||||||
| Activity 2: Develop clear and simple methodology based on succesful previous OSM mapping campaign (Ramania Huria, Tanzania). Use ODK and online survey forms. | ||||||||||||||||||||||||
| Activity 3: Deploy mapping teams to map drainage features in flood-prone wards in Mzuzu | ||||||||||||||||||||||||
| Phase 3 (Data validation & analysis) | ||||||||||||||||||||||||
| Activity 1: Validate data by cross-referencing mapping campaigns | ||||||||||||||||||||||||
| Activity 2: Start of digital data validation by OSM Malawi team, Malawi Red Cross Society data team (with 510), VU Amsterdam (e.g. correct for T-junctions) | ||||||||||||||||||||||||
| Activity 3: Check connectivity of drainage data and reserve time for potentially revisiting inadequately mapped data | ||||||||||||||||||||||||
| Phase 4 (Publication of results and provide data open-source. Document method for potential future mapping campaigns) | ||||||||||||||||||||||||
| Activity 1: Support the implementation of the data into the flood model and validate model outcomes with local experts | ||||||||||||||||||||||||
| Activity 2: Publish data via various open repositories. | ||||||||||||||||||||||||
| Activity 3: Write white paper & blog + blueprint so that other OSM communities can deploy the method | ||||||||||||||||||||||||
| Activity 4: Support the writing of a scientific paper | ||||||||||||||||||||||||
| Activity 5: Organize local event + webinar to build local capacity on the methods used/developed | ||||||||||||||||||||||||
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.
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)