IMPACT MOSAIC / DISABILITY INCLUSION

Building a more inclusive Nigeria.

A tribute to Chief Ayuba Gufwan, and an invitation to partner.

As Executive Secretary of the National Commission for Persons with Disabilities (NCPWD), Chief Ayuba Gufwan is widening participation for people with disabilities across Nigeria, together with the Commission’s partners.

An independent, source-linked showcase. The learning sandbox requires JavaScript; the documented story and downloads remain available below.

Ayuba Gufwan and Lanre Issa-Onilu seated together, shaking hands at the NOA engagement. — Chief Ayuba Gufwan and NOA Director-General Lanre Issa-Onilu at an inclusion engagement.
NOA headquarters, Abuja · Report: 2025-12-10 · Photograph published by FMINO

Chief Ayuba Gufwan.

Appointed on 6 August 2024, Gufwan brings a background in law and disability advocacy. FMINO's leadership profile describes more than three decades of advocacy and an approach built on development partnerships.

Read the leadership profile

More of his story.

WHO: From neglect to inspiration
WHO profiles Gufwan as a polio survivor, mobility advocate and vaccine champion. A historical account of his work before his NCPWD appointment.
Wheels of Hope: Who is Ayuba?
A partner account of his education, Beautiful Gate and locally built mobility devices. Partner-reported history and totals are not independently verified here.
Beautiful Gate: the organisation?s story
Beautiful Gate describes the mobility workshop in Jos and its origins with Ayuba Gufwan and Ron Rice. This is the organisation?s own account.
TheCable: Gufwan on inclusion and public priorities
A first-person interview on education, accessibility, disability data and the Commission?s priorities. Statements and proposed initiatives remain attributed to the interview.

Chief Ayuba Gufwan seated at a table, speaking into a microphone. — Chief Ayuba Gufwan, in the photograph published with FMINO’s leadership profile.
Nigeria; photograph venue not specified · Report: 2024-10-26 · Photograph published by FMINO

Participation, in practice.

1. Mobility and participation

Reported delivery · Otukpo, Benue State · Report: 2025-10-11

Rows of colourful three-wheeled mobility devices arranged at the Otukpo activity. — Tricycles pictured in the mobility-support report, delivered through a partnership with Beautiful Gate and Senator Abba Moro.
Otukpo, Benue State · Report: 2025-10-11 · Photograph published by The Qualitative Magazine

A joint mobility-support activity brought tricycles and assistive devices to persons with disabilities in Otukpo.

Gufwan / NCPWD's role: NCPWD participated in the partnership. Gufwan spoke at the event and commended the collaborators.

Partner credit: Beautiful Gate Handicapped People Center and Senator Abba Moro.

Evidence and activity status: The media report describes distribution. Recipient totals, sustained device use and economic outcomes have not been independently verified here.

Read source

2. Skills and livelihoods

Reported delivery · Nigeria; distribution venue not specified · Report: 2025-07-07

Participants, including wheelchair users, beside fertilizer sacks and boxes at the agricultural-support activity. — Participants at the Commission’s agricultural-support distribution.
Nigeria; venue not specified in report · Report: 2025-07-07 · Photograph published by FMINO

The Commission reported distributing fertilizers and basic farming tools to participants organised through disability associations.

Gufwan / NCPWD's role: Lawrence Idemudia represented the Executive Secretary at the distribution. The wider skills agenda includes an announced Amnesty International collaboration.

Partner credit: Participating disability associations, including JONAPWD, the Nigerian Association of the Blind and the Nigerian National Association of the Deaf.

Evidence and activity status: Published 7 July 2025; the body states 7 June and an inconsistent weekday, so the activity date remains uncertain. No yield or income improvement is established. The separate November skills partnership is proposed collaboration, not completed training.

Read source

Skills partnership report

3. Inclusive education

Advocacy and discussion · UBEC, Abuja · Report: 2024-09-26

Gufwan, seated on the right, speaking across a meeting table with a UBEC official. — Gufwan during the UBEC partnership discussion on inclusive education.
UBEC, Abuja · Report: 2024-09-26 · Photograph published by FMINO

At UBEC, Gufwan called for learning materials, assistive devices and better access to education for children with disabilities, including girls.

Gufwan / NCPWD's role: Gufwan participated in the courtesy visit and advocated for collaboration and support for rural communities.

Partner credit: Universal Basic Education Commission and its special-needs team.

Evidence and activity status: The report documents advocacy and partnership discussion. It does not establish that NCPWD provided the proposed materials, opened schools or achieved educational outcomes.

Read source

4. Civic participation

Delivered engagement · Abuja / Edo and Kwara monitoring · Report: 2024-09-21

Chief Ayuba Gufwan holding a microphone and gesturing with an open hand. — Gufwan speaking during election monitoring at the Commission’s situation room.
NCPWD headquarters, Abuja · Report: 2024-09-21 · Photograph published by FMINO

The Commission’s situation room monitored participation in the Edo governorship and Kwara local elections. Gufwan spoke to journalists about voting rights.

Gufwan / NCPWD's role: Gufwan personally addressed the monitoring activity. NCPWD’s disability desk reported both access support and unresolved barriers.

Partner credit: NSCDC disability desk officers; INEC was discussed in the report.

Evidence and activity status: A polling-unit access barrier in Edo required assistance. Violence in one Kwara ward was also reported. Monitoring and reported assistance do not establish universal access or nationwide voting outcomes.

Read source

5. Services closer to communities

Announced plan · Abia State / Southeast Nigeria · Report: 2025-01-19

Governor Alex Otti holding a microphone beside a seated woman at the Abia partner engagement. — Governor Alex Otti at the partner engagement covered in the regional-access report. Gufwan is not pictured in this frame.
Abia State · Report: 2025-01-19 · Photograph published by FMINO

During a working visit to Abia, Gufwan advocated for a Southeast zonal office to make the Commission easier to reach.

Gufwan / NCPWD's role: Gufwan led the appeal for a facility. Governor Alex Otti approved a facility for the proposed office.

Partner credit: Abia State Government and Governor Alex Otti.

Evidence and activity status: The report documents advocacy and facility approval. It does not establish that the office opened or confirm current services. The photograph depicts the partner engagement, not Gufwan.

Read source

6. Accessibility and enforcement

Reported training · Hawthorn Suites, Garki, Abuja · Report: 2025-06-14

Security personnel and other participants, including wheelchair users, posing together in front of a training banner. — Participants at the accessibility and anti-discrimination enforcement training. Individual identities are not assigned in this group frame.
Hawthorn Suites, Garki, Abuja · Report: 2025-06-14 · Photograph published by FMINO

NCPWD and Nightstone Global organised capacity-building training for security personnel and taskforce officers on accessibility and anti-discrimination enforcement.

Gufwan / NCPWD's role: The report attributes a keynote address to Gufwan and also names Director of Compliance and Enforcement Ikem Ochigbelam as his representative.

Partner credit: Nightstone Global Ltd, NSCDC personnel and participating stakeholders.

Evidence and activity status: Training and certificate presentation are reported. Personal attendance is not inferred from the keynote attribution or group photograph. Subsequent enforcement activity and barriers resolved remain unverified.

Read source

7. Health and community outreach

Reported delivery · Karonmajiji, Abuja · Report: 2025-12-19

Community members waiting by tables where medical staff provide outreach support. — Community members and the medical team at the 18 December 2025 outreach. Lawrence Idemudia represented Gufwan.
Karonmajiji, Abuja · Report: 2025-12-19 · Photograph published by FMINO

The Commission reported a medical outreach in Karonmajiji on 18 December 2025, bringing medical support closer to community members.

Gufwan / NCPWD's role: Lawrence Edelifo Idemudia, Director of Social Integration, represented Gufwan. The Commission’s Social Integration department supervised the activity.

Partner credit: TLM, CHAI, CBM and Sightsavers, identified as development partners in the report.

Evidence and activity status: Published 19 December, describing the previous day’s outreach. Wider medical provision was proposed after this pilot. No independently verified treatment total or longer-term health improvement is asserted here.

Read source

8. Stronger institutions

Delivered engagement · Abuja / national coordination · Report: 2025-12-10

Gufwan, on the right, and CBM’s Abdulaziz Musa holding a publication together at a meeting table. — Gufwan and CBM Country Director Abdulaziz Musa at the partnership engagement.
CBM office, Abuja · Report: 2024-10-31 · Photograph published by FMINO

Gufwan led an engagement with NOA on disability awareness and inclusion. A joint technical committee was announced to coordinate next steps.

Gufwan / NCPWD's role: Gufwan also visited CBM on 31 October 2024 to discuss accurate disability data and stronger cooperation. NCPWD sought NOA’s outreach capacity. Separately, the May 2026 NDMIS stakeholder workshop documented work toward harmonised disability data.

Partner credit: Christian Blind Mission; National Orientation Agency; NDMIS stakeholder coordination reported by OSSAP-SNEO.

Evidence and activity status: The CBM visit and NOA meeting took place; further CBM cooperation and committee delivery and nationwide coverage remain unverified. The NDMIS workshop is design work, not evidence of a deployed database or a live connection to this demonstration.

Read source

CBM report · NDMIS report

Milestones during his tenure.

2024-08-06 · Appointment announced

Appointment

The Presidency names Ayuba Gufwan as Executive Secretary of NCPWD.

Read source

Evidence caveat: Ayuba Gufwan’s appointment was announced on 6 August 2024.

2024-09-21 · Civic participation

Delivered engagement

The Commission’s situation room monitored participation in the Edo governorship and Kwara local elections. Gufwan spoke to journalists about voting rights.

Read source

Evidence caveat: A polling-unit access barrier in Edo required assistance. Violence in one Kwara ward was also reported. Monitoring and reported assistance do not establish universal access or nationwide voting outcomes.

2024-09-26 · Inclusive education

Advocacy and discussion

At UBEC, Gufwan called for learning materials, assistive devices and better access to education for children with disabilities, including girls.

Read source

Evidence caveat: The report documents advocacy and partnership discussion. It does not establish that NCPWD provided the proposed materials, opened schools or achieved educational outcomes.

2024-10-31 · CBM partnership engagement

Delivered engagement

Gufwan discusses accurate data and stronger cooperation with CBM. Subsequent delivery is unverified.

Read source

Evidence caveat: Gufwan’s Abuja visit discussed accurate data, coordination and deeper cooperation; subsequent delivery is unverified.

2025-01-19 · Services closer to communities

Announced plan

During a working visit to Abia, Gufwan advocated for a Southeast zonal office to make the Commission easier to reach.

Read source

Evidence caveat: The report documents advocacy and facility approval. It does not establish that the office opened or confirm current services. The photograph depicts the partner engagement, not Gufwan.

2025-06-14 · Accessibility and enforcement

Reported training

NCPWD and Nightstone Global organised capacity-building training for security personnel and taskforce officers on accessibility and anti-discrimination enforcement.

Read source

Evidence caveat: Training and certificate presentation are reported. Personal attendance is not inferred from the keynote attribution or group photograph. Subsequent enforcement activity and barriers resolved remain unverified.

2025-07-07 · Skills and livelihoods

Reported delivery

The Commission reported distributing fertilizers and basic farming tools to participants organised through disability associations.

Read source

Evidence caveat: Published 7 July 2025; the body states 7 June and an inconsistent weekday, so the activity date remains uncertain. No yield or income improvement is established. The separate November skills partnership is proposed collaboration, not completed training.

2025-10-11 · Mobility and participation

Reported delivery

A joint mobility-support activity brought tricycles and assistive devices to persons with disabilities in Otukpo.

Read source

Evidence caveat: The media report describes distribution. Recipient totals, sustained device use and economic outcomes have not been independently verified here.

2025-11-07 · Skills partnership proposed

Announced plan

NCPWD and Amnesty International discuss skills acquisition and inclusion collaboration.

Read source

Evidence caveat: Proposed skills acquisition and inclusion collaboration establishes alignment, not measured outcomes.

2025-12-10 · NOA inclusion engagement

Delivered engagement

A courtesy visit connects the inclusion agenda with NOA’s outreach capacity.

Read source

Evidence caveat: The CBM visit and NOA meeting took place; further CBM cooperation and committee delivery and nationwide coverage remain unverified. The NDMIS workshop is design work, not evidence of a deployed database or a live connection to this demonstration.

2025-12-19 · Health and community outreach

Reported delivery

The Commission reported a medical outreach in Karonmajiji on 18 December 2025, bringing medical support closer to community members.

Read source

Evidence caveat: Published 19 December, describing the previous day’s outreach. Wider medical provision was proposed after this pilot. No independently verified treatment total or longer-term health improvement is asserted here.

2026-05-22 · NDMIS workshop reported

Reported output

A report describes the 18–20 May stakeholder workshop; deployment remains unverified.

Read source

Evidence caveat: The May 18–20 workshop outlined harmonised disability data and proposed integration. Its July target does not verify deployment.

Learning Sandbox.

Build practical skills with guidance and support. The learner, facilitator and Administration screens require JavaScript.

How the Learning Sandbox connects

Three roles, each linked to the other two. Administration sits at the top because it monitors every step.

Administration

Oversees the programme and keeps it fair and safe.

Approves facilitators, new topics, public profiles and which courses are offered
Matches each learner with a suitable facilitator and assigns work for review
Tracks progress, scorecards and outcomes, with a map of where learners are
Answers support notes and keeps the 37 state noticeboards in order
Produces reports and downloads for planning and funding
Sees programme records, but not private teaching conversations

Administration ↔ FacilitatorsApproves teaching and topics · monitors teaching · receives support needs

Administration ↔ LearnersMatches and supports · monitors progress · receives support notes

Facilitators

Teach practical skills and give feedback.

Register their teaching skills and background
Publish a public directory profile, with consent
Teach assigned courses and propose new topics
Mark practical work and answer learning questions
Message their assigned learners privately
Raise a learner’s support needs with Administration

Facilitators ↔ LearnersPrivate teaching · practical work · feedback

Learners

Build skills at their own pace, mostly from home.

Register a profile: access needs, circumstances, skills and goals
Choose a direction: a job, freelancing, a business, personal growth or teaching
Study courses: lessons, quizzes and practical tasks
Ask for a facilitator and message them privately
Keep a scorecard, portfolio and achievement record
Share support notes, use their state noticeboard, and can later apply to teach

Administration monitors every step

RegistrationChecks new learner and facilitator profiles.
ApprovalApproves facilitators, topics and courses.
MatchingPairs each learner with a suitable facilitator.
LearningTracks lessons, quizzes and scorecards.
Practice and supportRoutes work for review and answers support notes.
OutcomesRecords results and reports them.

Research & Data Collection.

A proposed pilot: reliable disability data connected to accessible online teaching.

Impact Mosaic — Connecting people, evidence and accessible learning

Eight opening slides · A proposed pilot for Nigeria

Return to the presentation · Read or print all eight slides

Read the eight slides as a continuous page

1. IMPACT MOSAIC

Connecting people, evidence and accessible learning
A proposed pilot for Nigeria
Building toward reach across the whole country
Jerry Bannister Zachary · Yusuf Strong Mashat
Project Co-Creators

Approved unity artwork: six African people with Nigeria’s flag, including a person with albinism, a wheelchair user, white cane, walking stick, crutch and hijab. AI-generated artwork; no actual participants depicted.

Six African people united with Nigeria’s green-white-green flag, including a wheelchair user and people with a white cane, walking stick, albinism and hijab; the standing person in green leans on a crutch while embracing the team. — Approved Impact Mosaic unity artwork. Illustration, not a participant photograph. AI-generated artwork for Impact Mosaic

2. Table of Contents

Expand a section to see its slides. Every slide in this presentation is listed; select a title to go to it.

3. Talent is everywhere. Access to learning should be too.

Through Beautiful Gate, your work has helped remove mobility barriers for people like James Ahumbe.
We propose to build on that foundation through adaptive snowball recruitment and a participant register capturing people’s skills, interests and learning needs.
This would help us connect participants with suitable teaching, monitor their learning progress and adjust support as their needs change.

Historical Beautiful Gate beneficiary, identified by name and photograph on page 3 of Wheelchairs for Nigeria’s July 2023 newsletter. The source identifies James Ahumbe as a cobbler who received a replacement tricycle. The photograph shows him with that tricycle; it does not show shoemaking or establish that Beautiful Gate taught him his trade. The proposed learning pathway and sandbox are separate prospective work; no partnership, endorsement or learning outcome is implied.

Wheelchairs for Nigeria · newsletter archive

James Ahumbe smiling while seated on a tricycle wheelchair, wearing a navy shirt and resting one hand on its red hand pedal. — James Ahumbe with a tricycle wheelchair. Wheelchairs for Nigeria’s July 2023 newsletter, page 3, identifies him as a cobbler who received a replacement tricycle through Beautiful Gate. The photograph shows mobility support, not shoemaking or skills training. Photograph published by Wheelchairs for Nigeria; photographer not named

4. Building on your work: one database, an adaptive cycle

Your community relationships, outreach and practical support
Proposed extension: Designed together
Adaptive snowball recruitment: Invite voluntary participant referrals through trusted connections. Use recorded recruitment evidence to adjust the next round, investigate gaps and decide where to focus effort.
Understand needs: Review recorded skills, interests and access needs with participants to understand the learning and support that would suit them.
Match teaching: Use recorded interests and learning needs to identify suitable teaching. The learner and facilitator agree the arrangement.
Support practice: Use the agreed learning plan and support needs to guide accessible teaching, practical tasks and feedback.
Monitor & review: Record learning progress and recruitment evidence in the database. Use progress to adjust support and recruitment evidence to refine outreach.
Participant database: Keep recruitment details, skills, learning needs, agreed support and progress together. These records inform decisions throughout the cycle.
Adaptive snowball recruitment: Recruitment feeds the database; its records guide the next round.
Adaptive snowball recruitment: Adaptive recruitment feeds the participant database. Recorded recruitment evidence guides each new sampling round.
Understand needs: Skills, interests and learning needs
Match teaching: Agree suitable teaching with the learner and facilitator
Support practice: Accessible teaching and practical feedback
Monitor & review: Monitor recruitment evidence and learning progress, update the participant database, then use the updated records to refine recruitment, teaching and support. The cycle repeats.
Participant database: Recruitment routes; Skills and interests; Learning needs; Agreed teaching and support; Learning progress
Recruitment evidence → outreach: Recruitment evidence informs each new outreach round; the cycle repeats.
Learning progress → support: Learning progress informs teaching and support adjustments.
Proposed pilot for Nigeria · Records inform decisions throughout the cycle

Conceptual proposed pilot pathway for Nigeria, not an observation of an existing end-to-end service or an agreed partnership. Build on Gufwan’s community relationships and practical support; confirm the existing process with his team. Adaptive snowball recruitment, the participant database, teaching arrangements and monitoring require joint design. Recruitment evidence informs outreach; learning progress informs teaching/support. Registration and optional research remain separate. Foundation photographs document a Beautiful Gate/Senator Abba Moro mobility partnership and Gufwan’s historical UBEC education discussion. Partner credits remain explicit; photographs are not pilot activity or evidence of delivered learning. Illustrated stages are conceptual. The closed loop represents continuing programme improvement, not a requirement for individual participants to remain indefinitely. Recruitment populates the database. Its records inform all subsequent needs, teaching and support decisions; monitoring updates those records and informs later adaptive recruitment. Decisions remain participant/facilitator-led, not automatic database actions. No model fit, participant records, recruitment outcome or pilot activity is depicted.

5. Adaptive snowball recruitment

Building on your community connections
Your relationships already connect people to support.
Who are we missing—and how can we reach them?
Each round shows who our networks reach — so we can go looking for who they miss.
Round 1: Start with varied trusted contacts. A few starting contacts, spread across different communities.
Round 2: People invite others they know — if they choose. Referrals spread through personal networks. Some groups are not reached yet.
Round 3: Check who's missing, change where we look. Add a new starting contact inside the group not yet reached, or use another route.
Next round: start again from Round 1 with what we learned.
Key: Starting contact; Reached through a referral; Not reached yet
Referrals make it snowball.
Checking and changing course makes it adaptive.
People with few connections may need other routes.
How we learn from each round (proposed Bayesian refinement): p(θ | D) ∝ p(D | θ) p(θ)
How each round helps us learn: Start with your team's community knowledge. Record who joins, through which route, and how much outreach effort was needed. Update what we expect from each route—and how uncertain we are. Use that evidence to agree the next round, keeping attention on harder-to-reach groups.
What the symbols mean: θ = recruitment rates being estimated. D = recruitment records. p(θ) = starting expectations. p(D | θ) = how well each possible rate explains the records under the model. p(θ | D) = updated understanding. ∝ = “is proportional to”.
Proposed model · Decisions remain with the team
Potential gaps to assess together: People not yet reached; Groups reached less often; Access barriers

Proposed pilot method for Nigeria, not an existing fitted model or observed recruitment result. Confirm current referral, recording and adaptation practices with Gufwan and his team; do not assume these are missing. Complementary routes remain important. Bayesian updating is an optional proposed refinement, not a requirement of snowball recruitment. Define the likelihood, priors, route attribution, dependence, effort and safeguards jointly before fitting a model. Review uncertainty, inclusion and access alongside recruitment efficiency. No probability sample or population representativeness is established. Referral-based recruitment over-represents well-connected people and people similar to the starting contacts, and can miss isolated people; changing starting contacts and routes between rounds reduces, but does not remove, this bias. This is not respondent-driven sampling. Referrals and research are voluntary and do not determine access to learning/support. Documentary photograph shows mobility devices at a historical partnership activity, not recruitment or proposed pilot activity.

Documented community outreach: reported interviews, July 2026

Swedish adaptive snowball sampling precedent: 771 respondents, 35 diagnoses/impairments; feasibility, not proof of representative coverage

Adapting snowball recruitment for hard-to-reach groups: Sadler et al., 2010, Nursing & Health Sciences

Limits of referral-based sampling for hidden populations: Magnani et al., 2005, AIDS

Bayesian recruitment allocation research: proposed modelling context, not Nigerian field evidence

6. A participant database that guides learning and support

Building on the need you have already identified
Ayuba Gufwan, TheCable interview, 15 November 2025: “In the long term, we plan to build a comprehensive, disaggregated database of PWDs in Nigeria.”
Our proposed contribution for Nigeria
Learners: Adaptive snowball recruitment
Facilitators: Volunteering or recruitment
Recruitment records populate the participant database from the first recruitment round. Record location and recruitment route alongside the participant-agreed profile.
Participant database: Learner skills, interests & goals; Learner access & support needs; Facilitator skills & availability; Agreed pathways & progress
Records inform decisions with participants and facilitators: Understand needs; Match teaching; Plan support together; Review progress
Facilitator records describe teaching skills and areas, availability and whether they join through volunteering or recruitment. Agree teaching scope before matching.
Plan support together means participants, facilitators and the team agree what help is needed, who will arrange it and when. A plan is not confirmation that support has been delivered.
Update records as goals, support and progress change.
Proposed participant database for Nigeria · Not the official national database

TheCable interview published 15 November 2025 records Gufwan’s national database ambition and describes consultants/data collection already underway at that time. This is dated interview context, not a claim about the current status of national data. Our independent proposed participant database for Nigeria is a scoped learning/support contribution, not the national database, a census, a complete population register or an agreed official integration/partnership. Records begin during recruitment and are updated with learners and facilitators throughout the learning cycle. Facilitators can join through volunteering or recruitment; teaching scope, skills and availability are reviewed before matching. These are proposed profile categories, not new accounts, approved appointments or delivered services. Collect only agreed necessary information, keep optional sensitive/research disclosures separate from access to services, and agree consent, stewardship and role-based access before real collection. Diagram shows proposed categories and human decisions, not real records, numerical outcomes or an automatic decision engine. The FMINO photograph is separate from the interview: it depicts Gufwan speaking in a leadership profile published 26 October 2024; no interview photo, event date or venue is inferred.

Read the interview · TheCable · 15 November 2025

7. One cycle complete — the next one starts better informed

Each stage reaches a goal that meets a need
1. Recruit: Reach people often missed
2. Understand needs: Know each person's skills, goals and access needs
3. Match teaching: The right skill with the right facilitator
4. Support practice: Accessible learning that becomes real skill
5. Monitor & review: Know what is working, and for whom
Participant database: Records what happened at every stage
The next round starts here: Progress evidence and Participant and facilitator feedback feed back from stage 5 into stage 1. What worked continues. What didn't, changes.
Every round meets a need, records what happened, and uses success and feedback to plan the next round.
Proposed cycle · No results yet · Measures agreed together during pilot design

Conceptual proposed pilot cycle for Nigeria, not an existing service, an agreed partnership or observed results. Stage goals describe intended needs met, not achieved outcomes. Progress evidence and participant and facilitator feedback inform the next round; how success is measured, who reviews it and how often are to be agreed with Gufwan’s team during pilot design. Repeating the cycle is programme improvement; individual participants are not required to stay. Recruitment changes between rounds follow the adaptive snowball approach on slide 5 and claim no representative coverage.

8. Thank you

Success is achieved together.
Communities, facilitators, partners and people with disabilities — reaching, teaching and learning across Nigeria.
Your trusted community relationships
Shared records that guide every decision
Learning that becomes real skill
Photograph: Ayuba Gufwan with President Bola Ahmed Tinubu and Bill Gates, June 2025, when Gates dedicated his Commander of the Order of the Federal Republic honour to Gufwan.
IMPACT MOSAIC: Connecting people, evidence and accessible learning
Jerry Bannister Zachary · Yusuf Strong Mashat
Project Co-Creators
Independent proposal · The photograph records a 2025 national honour, not an endorsement of this proposal

Closing slide. The photograph was published by Inclusive News Network on 5 June 2025 with its report that President Tinubu conferred the CFR on Bill Gates, met Gufwan as NCPWD Executive Secretary, and that Gates dedicated the award to Gufwan. The photographer is not named; the image is shown unchanged. It records Gufwan’s recognition and does not show, imply or establish any endorsement of, involvement in, or partnership with Impact Mosaic or this proposal by Gufwan, President Tinubu or Bill Gates. The Impact Mosaic artwork repeats the AI-generated cover illustration; no actual participants are depicted.

Ayuba Gufwan, smiling in a wheelchair and wearing an End Polio Now cap and T-shirt, between President Bola Ahmed Tinubu, who holds a book, and a smiling Bill Gates wearing a national honour medal, in front of the Nigerian flag. — Ayuba Gufwan with President Bola Ahmed Tinubu and Bill Gates, June 2025. Inclusive News Network reported that Gates dedicated his CFR national honour to Gufwan. Not an endorsement of this proposal. Photograph published by Inclusive News Network, 5 June 2025; photographer not named

Building on Gufwan’s foundation.

WHO’s historical profile connects Gufwan’s experience of polio with his work helping others access mobility and education. WHO: From neglect to inspiration.

Beautiful Gate reports more than 24,000 wheelchairs across 28 states, alongside other mobility and education support. These are its own cumulative figures without a reporting date. Beautiful Gate’s own account. A 2017 account describes production in Jos and outreach across 23 states at that time. World Renew: Entering through the Beautiful Gate. Historical reach is not a complete current register.

In his 2025 interview, Gufwan discusses disability data, education and access to services. These are attributed priorities and reported initiatives. TheCable: Interview with Ayuba Gufwan.

November 2026 reporting describes a workshop validating revised KPIs and NDMIS data collection tools, and a call for reliable disability data. Inclusive News Network: Disability data and NDMIS workshop. Possible alignment is a technical discussion; this report does not establish deployment, endorsement or an existing integration with our prototype.

Our contribution as two statisticians.

Jerry Bannister Zachary and Yusuf Strong Mashat propose to contribute recruitment design, data quality checks, coverage monitoring and evaluation. We are two statisticians with a working prototype.

We propose to design varied recruitment channels, check duplicates and missing information, monitor who is being missed, and evaluate the pathway from registration to teaching and demonstrated skills.

Two statisticians helping build a reliable database of people with disabilities and connect participants to accessible online teaching, building on Gufwan’s foundation.

This is an independent proposal. Community access, facilitators, funding, secure operational infrastructure and accommodation support remain to be secured. No endorsement, delivery partnership or access to existing beneficiary records is assumed.

A proposed pilot.

The starting location for a limited pilot will be agreed with partners. Exact communities, eligibility, participant numbers and courses will be agreed during technical scoping.

Proposed activities: accessible voluntary registration, weekly coverage reviews, facilitator readiness checks, learner matching and supported teaching, followed by cohort review.

An approximately 20-week sequence is illustrative. The clock starts only after agreed readiness conditions: responsibilities, community permissions, consent and data arrangements, staffing, funding, secure collection and access support. Stages overlap and may take longer. Completion reviews depend on a full course cycle; registration and national expansion remain open-ended.

Three decisions for a first meeting

Nominate a technical counterpart for a scoping discussion.
Identify potential community introductions, subject to their agreement.
Agree pilot-scoping requirements: communities, eligibility, courses, capacity, data governance, costs and readiness.

Open the Pilot Discussion Brief → · Print or save as PDF in your browser.

Database recruitment and separate research sampling.

People with disabilities

Register voluntarily, describe learning interests and access needs, and choose whether to take up online learning. Registration would not require agreeing to research.

Online facilitators

Recruit people with relevant subject skills, review their teaching and accessibility readiness, and match their availability to learners’ needs.

How sampling fits.

Database enrolment would remain open to eligible people reached through several channels. Our proposed approach is adaptive snowball recruitment: begin with varied community contacts, invite voluntary referrals, review coverage weekly and change outreach where people are being missed. This builds on documented snowball sampling; the adaptive coverage reviews are our proposed addition. It is not formal adaptive cluster sampling and does not create a representative national sample. Representative research remains conditional on a defined target population, a suitable sampling frame and a justified design. Register-based findings describe the covered population; we do not promise national estimates from the register.

In planning. Research recruitment and data collection are not open.

The sampling plan, explained side by side.

The small animations illustrate processes, not participant counts or results. They stop after a few seconds.

From community outreach to a growing database and online learning
Stage	Statistical method	In everyday language	Practical time frame
Define coverage	Stratification and frame assessment Group by geography and relevant participant characteristics; document who the available lists exclude.	Plan who we need to reach, so one well-connected community does not stand in for the whole country.	Weeks 1–3 Agree pilot area, eligibility, partners and data arrangements.
Build the register	Adaptive snowball recruitment with purposive starting contacts Monitor referral channels and coverage weekly. Add starting contacts or offline outreach when groups are missing or referrals repeat the same networks. This remains non-probability recruitment; selection chances are unknown.	Ask willing people to pass on an invitation. Check who is being missed, then find new community contacts to reach them. People can register without joining the research.	Weeks 4–8; then ongoing Begin after consent materials and secure registration are ready; agree adaptation rules during the pilot.
Test the process	Accessible questionnaire pilot and response diagnostics Measure interview duration, item non-response and contact-to-completion rates by collection mode.	Try the questions and registration with different people. Fix confusing wording and barriers before expanding.	Weeks 4–6 Retest translations, accommodations and changed questions as needed.
Plan the study size	Precision, design effect and non-response allowance For a proportion: n₀ = z²p(1−p)/e²; invitations ≈ n₀ × DEFF / r, rounded up. This is a starting approximation, not a project target.	Decide how precise answers need to be, allow for grouped sampling and invite extra people because some will not respond.	Weeks 7–9 Use pilot evidence, budget and reporting needs; revise before drawing the sample.
Select and survey	Stratified probability sampling where a usable frame exists Randomly select within defined groups; retain stratum IDs, inclusion probabilities and response dispositions.	For research, draw names fairly from the agreed lists. Keep ordinary registration open and do not substitute convenient volunteers for sampled people.	Weeks 10–15 Requires a checked sampling frame, trained team and agreed study protocol.
Check and estimate	Quality checks, survey weights and confidence intervals Audit duplicates and missingness. Start with wᵢ = 1/πᵢ; justify response adjustments. Estimate uncertainty using strata and clusters.	Check the records, account for unequal selection chances and show how uncertain the research findings are.	Daily during collection; weeks 16–18 for analysis Weights cannot recover people entirely absent from the frame.
Connect online teaching	Demand–capacity cross-tabulation Compare learner interests, language, access needs and availability with reviewed facilitator capacity; monitor unmatched requests.	Find suitable teachers for learners and see where more teaching capacity or connectivity support is needed.	Recruit facilitators in weeks 4–10; match from week 11 Lessons start only when teachers, learners and access support are ready.
Learn and expand	Cohort tracking, completion rates and attrition analysis Follow each starting cohort; report completion with its denominator, missing follow-ups and differences between groups.	See who starts, finishes or needs help. Use that evidence to improve the next intake and reach new areas.	First review around weeks 19–20; monthly thereafter Allow a full course cycle before judging completion. National expansion remains open.

Formula key: z = confidence multiplier; p = anticipated proportion; e = desired absolute margin of error; DEFF = design effect; r = anticipated response fraction; πᵢ = a person’s inclusion probability. A known finite population may need a finite-population correction. Subgroup reporting can require a larger sample; there is no fixed national sample size yet.

Methods draw on World Bank sampling guidance, UNHCR’s explanation of recruitment bias and the DIME data-collection handbook. The time ranges and delivery sequence are our proposed plan.

Proposed framework · from outreach to online learning

Define who and where to reach. Agree eligibility, an initial pilot area and expansion across the six geopolitical zones. Monitor state, rural and urban coverage, gender and access needs. Nationwide reach is the goal; coverage must be demonstrated.
Use adaptive snowball recruitment. Seek varied starting contacts through disability organisations, community groups and training centres, including Gufwan’s networks where agreed. Referrals should share invitations, not another person’s private details. Review coverage and referral yield weekly; add new contacts and assisted, in-person or accessible remote registration where gaps persist. Agree review triggers during the pilot and log each adaptation. Continue looking beyond referral networks for isolated people.
Build and maintain the database. Explain use and consent; collect only necessary contact, location, learning and support information. Separate optional research consent, check duplicates, restrict access and provide correction and withdrawal routes. Pilot accessible questions with people with disabilities; use suitable Washington Group tools for research on functioning, alongside separate questions about learning support.
Recruit facilitators and connect learning. Review subject knowledge, online teaching and accessibility skills. Record availability, languages and capacity, then match learners by goals and support requirements. Identify device, connectivity and accommodation barriers before lessons begin.
Select a separate research sample. Define the study question and the population a usable sampling list covers. Where feasible, randomly select within agreed groups. Calculate sample size from required precision, subgroup reporting, design effects, expected non-response and budget. Record selection probabilities and response outcomes for weighting. Registry-based results describe its covered population; national estimates need a suitable national sampling frame. World Bank sampling guidance informs this design.
Follow up and improve coverage. Track registrations, matches, attendance, completion and unresolved support needs. Check who drops out or remains unreached, and adapt outreach. Report missing data and research uncertainty. Referral counts, statistical weights or Bayesian models alone cannot establish national representativeness.

Proposed measures of success.

Every measure below is proposed for agreement during scoping. No results, budget amounts or performance targets are available. These describe delivery and coverage, without establishing causal impact.

Proposed definitions and collection frequency
Proposed measure	Definition	Collection and review frequency
Proposed registration quality	Count unique registrations meeting agreed verification checks. Report suspected duplicates awaiting review separately; do not count unresolved duplicates as verified.	Check daily during collection; summarise weekly.
Proposed recruitment coverage	Count recruitment by channel and agreed participant group. Show missing location and profile fields as counts and shares of all registrations; retain unknown categories. Multi-channel totals must identify overlaps.	Review weekly, with a dated outreach-change log.
Proposed teaching pathway	Count unique learners requesting teaching, matched, waiting for a suitable match, and starting at least one instructional session. State the observation date and cohort; these stages are not additive.	Update at each transition; summarise weekly.
Proposed attendance and skills	Attendance = sessions attended / sessions scheduled for each starting cohort. Skills = learners demonstrating an agreed assessed skill / all learners starting that cohort. Report numerator, denominator, assessment criteria and unassessed learners; completion review requires a full course cycle.	Record each session and assessment; review monthly and at course-cycle end.
Proposed follow-up and access	Missing follow-ups / all follow-ups due in the period; unresolved access needs / all recorded needs. Summarise voluntary feedback, number invited, number responding and themes, with accessible response routes.	Log as received; review weekly and at cohort follow-up.
Proposed unit costs	Document actual attributable costs and allocation rules for the same period/cohort. Divide by verified registrations, learners starting instruction, and learners demonstrating an agreed skill, respectively. Show each numerator and denominator; a zero denominator means not calculable.	Record expenditure when incurred; reconcile monthly and at pilot review.

Proposed evidence outputs: a checked register with a duplicate-review log; recruitment and coverage summaries with an outreach-change log; learner matching and waiting lists; cohort attendance and skills summaries; and a review of access barriers, participant feedback and costs. Share only agreed aggregate reporting, with small-group disclosure risks reviewed.

Resources and preparation before recruitment.

Co-design questions, consent and learning arrangements with people with disabilities.
Review existing data tools and discuss possible NDMIS alignment with the responsible technical team; agree definitions, permissions and stewardship before any data sharing.
Assess facilitator capacity, languages, devices, connectivity and accommodation barriers.
Obtain local cost estimates for outreach, staffing, teaching, infrastructure and access support.
Agree responsibilities, readiness criteria and a limited pilot protocol before recruitment.

Agree who provides each resource and who owns collection, safeguarding, teaching and follow-up. A working demonstration does not establish operational readiness.

Sources and review dates.

Historical achievements, reported priorities and our proposed activities are distinguished above. Methodological sources inform the proposal; they do not endorse it.

WHO: From neglect to inspiration · 23 April 2019 · Reviewed 8 November 2026. Historical profile of Gufwan’s mobility advocacy and education pathway.
Beautiful Gate’s own account · Undated · Reviewed 8 November 2026. Organisation-reported cumulative reach; the page does not date the totals.
World Renew: Entering through the Beautiful Gate · 22 November 2017 · Reviewed 8 November 2026. Historical account of wheelchair production and outreach.
TheCable: Interview with Ayuba Gufwan · 15 November 2025 · Reviewed 8 November 2026. Gufwan’s stated priorities and initiatives, attributed to the interview.
Inclusive News Network: Disability data and NDMIS workshop · 4 November 2026 · Reviewed 8 November 2026. Reporting on validation of revised KPIs and NDMIS data collection tools; does not verify deployment or this project’s integration.
UNHCR: Sampling · Online guidance · Reviewed 8 November 2026. Probability and non-probability approaches, including referral bias.
World Bank: Sampling, Weighting & Estimation · Online guidance · Reviewed 8 November 2026. Guidance for a justified survey design and inference.
DIME: Acquiring development data · Online handbook · Reviewed 8 November 2026. Data quality, documentation and confidential-data handling.
Washington Group: Implementation guidelines · Online guidance · Reviewed 8 November 2026. Question selection and implementation for disability statistics.

About.

Two statisticians proposing a pathway from reliable data to accessible teaching.

The co-creators

Jerry and Strong created Impact Mosaic together and have co-authored a research paper.

Jerry Bannister Zachary

Statistician and data scientist · Co-creator

Jerry is a data scientist and wheelchair user who works as a statistician at the Directorate of Academic Planning and Quality Assurance, Abubakar Tafawa Balewa University (ATBU), Bauchi.

Jerry has consistently finished in the top 2 percent of the class in Statistics, at both bachelor’s and master’s level, won the MTN Foundation (MTNF) Scholarship award as an undergraduate, and is now studying for a PhD. Jerry is a member of the Chartered Institute of Statisticians of Nigeria (CISON).

Jerry has authored papers across health, science and the social sciences, and founded JJMB Datascience Hub, a statistical consultancy for researchers, non-governmental organisations and businesses.

Living with disability shapes the work. Jerry’s disability research includes a disability rights assistant (opens in a new tab): a chatbot that answers questions about Nigeria’s Disability Act 2018 and the Constitution, using retrieval-augmented generation (RAG) so that each answer draws on the legal texts themselves.

To connect with Jerry, read the research on Google Scholar (opens in a new tab) and Zenodo (opens in a new tab), browse the code and projects on GitHub (opens in a new tab), or challenge Jerry to a game of chess as bayesianRules on Chess.com (opens in a new tab) or Lichess (opens in a new tab).

Yusuf Strong Mashat

Statistician and lecturer · Co-creator

Strong is a statistician from Bokkos, Plateau State, and lectures in Statistics at Plateau State University, Bokkos. Before that, Strong taught for six years at the Plateau State College of Health Technology, Pankshin, serving as Acting Dean of its School of Health Information Management and Biostatistics.

Strong finished in the top 2 percent of the MSc Statistics class at Abubakar Tafawa Balewa University (ATBU), Bauchi, and has won the prestigious Petroleum Technology Development Fund (PTDF) PhD scholarship. Strong is a member of the Royal Statistical Society (RSS) and the Chartered Institute of Statisticians of Nigeria (CISON).

Strong’s teaching covers sampling, survey design and biostatistics, with census fieldwork for the National Population Commission as an enumerator in 2006 and a trainer of census staff in 2023. For this project, Strong brings sampling design, data quality and evaluation.

To connect with Strong, follow the research on ResearchGate (opens in a new tab).

Strong is happily married with children.

About Impact Mosaic

Impact Mosaic brings together a source-linked showcase of disability inclusion and a Learning Sandbox that shows how learners, facilitators and Administration would work together.

The starting location for a limited pilot will be agreed with partners. Exact communities, eligibility, participant numbers and courses will be agreed during technical scoping.

The showcase is independent. The sandbox uses fictional participants and sample records only.

Proposed statistical responsibilities

Recruitment design, data quality checks, coverage monitoring and evaluation: agree who to reach, check records, identify missing groups and follow starting cohorts with explicit denominators.