pumpkin fruit fly, water melon fruit fly, cucumber fruit fly
Monitoring and Evaluation 2019 activities and workplan for 2020
1. Monitoring and Evaluation
2019 activities and workplan for 2020
Anicet Sambala
International Institute of Tropical Agriculture (IITA)
Africa RISING ESA Project review and planning meeting
11 – 12 September 2019, Dar es Salaam, Tanzania
2. Outline
1. Main M&E activities in 2019
2. Key project results (Targets & outcomes)
3. Data management in Dataverse
4. Workplan for 2020
3. M&E activities in 2019
1. Reviewed research protocols & workplans and defined the critical
dataset of FtF indicators for each research activity
2. Conducted M&E support visits to Karatu, Kongwa & Malawi, also to
Provide definition and guidance on FtF & custom indicators
Support data collection (FtF, exposure & scaling-up)
Collect basic information on beneficiaries
3. Updating the Beneficiary and Technology Tracking Tool (BTTT)
4. Tracking & reviewing data quality and process requests in Dataverse
5. Updated PMMT
6. Reviewed the ESA M&E framework
4. Project beneficiaries/1
Target HH participating directly
in AR research Phase II
Direct beneficiaries from BTTT
update 2019
2019 2020 2021
Total 7,338 8,259 9,410
Tanzania 1,950 2,073 2,228
Malawi 3,188 3,986 4,982
Zambia 2,200 2,200 2,200
• Malawi: 4,649
• Tanzania: Update going on
• Zambia: Update going on
5. Project beneficiaries/2
Targets HH in AR development
partner activities phase II
Targets and Achievement with
the current partnerships
2019 2020 2021
Total 242,851 275,197 298,038
Tanzania 100,188 110,207 121,227
Malawi 95,907 118,234 130,055
Zambia 46,756 46,756 46,756
Targets
Training Actual
Total 74,066 22,371
Tanzania 4,066 2,371
Malawi 70,000 20,000
Zambia
Achievment
6. Key project outcomes- 2019
Tanzania Malawi Zambia
Farmers worked with to validate tech/s 8,466 6,400 50,000
Technologies validated 53 10 13
Longterm trainings (PhD's ) 4 4
Longterm trainings (MScs) 11 9 2
Number of development partners 52 6 12
7. Scaling-up farmers – breakdown/1
AR Research Partner Development partner Partner identified
responsibilities
Target HH Individuals
reached
MoU status
Dr. Christopher-IITA Islands of Peace (IoP) Scaling Post-harvest
technologies (Harvesting,
Storage and low-cost
mechanisation
IITA and IoP
Dr. Job Kihara-CIAT Tanzania Agriculture
Research Institute
(TARI)
Participate in testing
technologies
150 by 2021 4000 CIAT and TARI
District extension
office- Babati District
Council
Participate in testing
technologies
600 by 2021 650 persons
& 98 farmers
CIAT and Babati
District Council
Dr. Wanjiku Gichohi
(ICRISAT)
WFP Scaling up of nutrition
interventions on
complementary food and food
safety
NIL NIL Under discussion
Dr. Justus Ochieng
(WorldVeg)
Islands of Peace (IoP) Scaling of technologies
(ONGOING)
818 by 2021 262 CIAT and Babati
District Council
8. Scaling-up farmers – breakdown/2
AR Research Partner Development partner Partner identified
responsibilities
Target HH Individuals
reached
MoU status
Dr. Regis Chikoyo
(Malawi)
Malawi Ministry of Agriculture
and irrigation development-
district offices
Co- implementation of field
days & Expansion
40,000 by
2021
20,000 Not completed
SANE (Strengthening
Agriculture and Nutrition
Extension)
Training of Extension workers
& Lead Farmers through
exchange visit
30,000 by
2021
Under discussion
Prof. Muzanila-SUA Not done NIL NIL NIL Once released
Dr. Elirehema Swai
(HOMBOLO)
LEAD Foundation Scaling of terrace
technologies (ONGOING)
20,000 by
2021
815
champion
farmers
F=353;
M=462
Africa RISING
implementers and
LEAD Foundation
Dr. Jumbo Bright
(CIMMYT)
Meru Agro tours and
Consultants
Seed multiplication and retail 300 by 2021 Nil Under discussion
9. Scaling-up farmers – breakdown/3
AR Research
Partner
Development
partner
Partner identified
responsibilities
Target HH Individuals
reached
MoU status
Dr. Jumbo
Bright
(CIMMYT)
Aminata Quality
Seeds
Interested in new QPM
hybrid varieties
Plan to engage
them in the Final
testing of the new
QPM for release
Dr. Ben
Likuyu (ILRI)
Word vision (Int.
NGO)
Scaling up of Poultry ration
formulation and improved
poultry house
300 by 2020
Regreening
Africa Initiative
(Local NGO)
Scaling up of Dairy feed
ration formulation
FIDE (Local NGO) Scaling up of Dairy & Poultry
feed ration formulation and
improved poultry housing (
ONGOING)
500 farmers
by 2021
78 farmers (43
males and 35
females)
Mutual
agreement
(meeting minutes)
Farm Africa (Int.
NGO)
Scaling up of Dairy feed
ration formulation
(ONGOING)
1000 farmers
by 2021
670 farmers (393
males and 277
females)
Mutual
agreement
(meeting minutes)
10. Exposure farmers – overall
TANZANIA
Number of attendees
District Villages Type of the event or treatment Date Organizer (s) Total Female
Youth (<25
years)
Karatu DC Bashy, Changarawe,
Gyekrumlamb,
Kainam Rhotia,
Slahhamo, Kambi ya
Simba & Burger
Farmer Field Day: Tomato
(Tengeru 97); African Nightshade
(Nduruma-BG16) and Ethiopian
Mustard (ML EM1). 9-13 July,
2019
WorldVeg & IITA
234 101 6
Kongwa Mlali
Farmer field day: Residual Tied
Ridging (RTR) tillage technique 31/05/2019 TARI-HOMBOLO 97 69 30
Kongwa Mlali Farmer field day: Agroforestry
(G.sepium intercrop with maize &
pigeon pea); Contour farming
with G.sepium and In-situ
rainwater harvesting and
fertilizer microdosing 30/05/2019 SUA & ICRAF 107 59 23
TOTAL 438 229 59
11. Dataverse…/1
What’s that?
Centralized data repository for AR-generated data and documentation
Why upload data on Dataverse?
• To ensure research integrity and validation of results
• To increase research efficiency and impact
• To facilitate data security and minimize the risk of data loss
• To enable research continuity through secondary data use
• To ensure compliance with donor requirement
• To link/register AR datasets with USAID DDL (happening now!)
12. Dataverse…/2
Tracking Dataverse data uploads
• Chief Scientists are responsible for ensuring:
• Data collection plan is clearly identified in annual workplans
• Data have been collected and uploaded annually or on an
appropriately regular basis)
• Support to the research teams to identify the appropriate timeline
for open access
• Data managers are responsible for compiling a list (“universe”) of
datasets:
• Collected thus far & those to be collected in FY 2019 and beyond
• Along with info about experiment type and duration
• …by reviewing work plans and progress reports…against which the
completeness of (current and future) datasets on Dataverse can be
assessed.
13. Dataverse…/3
Researchers
• Having a Dataverse account gives you more control over your own and
your team’s datasets
• https://dataverse.harvard.edu/dataverse.xhtml?alias=AfricaRISING
• Once you create an account, IFPRI Dataverse administrator will assign
different user rights (administrator, contributor, etc.) as necessary:
• Contributor account (for researchers): allows you to monitor
access to your (restricted) datasets and downloads
• Administrator account (for project manager/chief scientist
account): allowed to add datasets, contribute to existing datasets,
access and review restricted datasets uploaded by team
members
14. Dataverse…/4
Review checklist
• Metadata should be complete and consistent
• PII (Personal Identifying Information -name, phone number, address,
national identification number-) should be restricted
• Supporting documentation (codebooks, survey questionnaires,
sampling methodology, protocols) to assist with proper processing,
extraction, and interpretation of the data should be submitted
• Variables should be appropriately labelled; codebook and values
(including value labels) in the datasets should be consistent.
15. Dataverse…/5
Dataverse dataset and file management
1st Step
Researchers complete Dataverse metadata
template….crucial for proper tagging and
discoverability
2nd Step
Researchers submit completed metadata, de-
identified data files, documentation, and
codebook to IFPRI M&E team
3rd Step
M&E team and Dataverse administrator review
submitted documents and data and uploads
them (interoperability)
16. Dataverse…/6
Identified gaps in submission to Dataverse
• Absence/Incomplete submissions
• PII uploaded while confidential
• Supporting documents not uploaded or incomplete
• Datasets too raw to extract/interpret information; unfriendly for M&E
purposes
Recommended
• Summaries of key preliminary findings be prepared and uploaded into
dataverse
17. Other indicators
Peer reviewed journal articles-Africa RISING Project- ESA 2016-
2019
Country 2016 2017 2018 2019
Tanzania 1 6 8 2
Malawi 3 2 1 1
Zambia 2 3 0 1
TOTAL 6 11 9 4
18. FtF indicators - challenges
1. Understanding FtF indicators (definition, targets, aggregation, etc.)
2. Difficulty in accurately counting number of hectares under improved
management practices & technologies (indicator EG.3.2-25)
3. Absent/Incomplete targets 2019-2021
19. Challenges related to BTT
1. Incomplete information on direct beneficiaries (sex, age, contact info,
primary role, education)
2. Poor recording and documentation of ancillary information (e.g. new
sites, new farmers, dropouts & reasons, technologies tested, etc.)
20. FtF indicators - timelines for reporting
• October 4: Annual FTFMS Webinar
• October 15: FTFMS opens
• October 30 (Internal):
Performance narrative submission to IITA for review
FtF indicators + discrepancy narratives submission to IFPRI for
aggregation
• November 9: Data submission to USAID for review
• November 16: FTFMS data submission deadline
• November 30: USAID data submission approval in FTFMS
21. M&E workplan 2020
M&E Data Manager
1. Interact with AR researchers
to secure necessary data and
information for populating the
BTTT
2. Participate & develop a
centralized database of farmer
field days and scaling
beneficiaries using AR
monitoring tools.
AR Researchers
1. Update & document
beneficiary records (sex, age,
education, contacts, HH
information holder, dropout)
2. Ensure all datasets of research
conducted since 2012 have
been submitted as required
(datasets, metadata &
supporting documents)
22. M&E workplan 2020
M&E Data Manager
3. Review datasets
currently uploaded on
Dataverse by ESA
researchers since 2012
4. Review project
workplans and other
documentation since
2012 and prepare a list
of datasets researchers
proposed to collect
5. Ensure timely (and
complete) submission
of FTF indicators data
for Fiscal Year 2019.
AR Researchers
3. FtF data:
Carefully review your FY2019 targets
and share with the Data Manager
Complete and Submit FtF data on
actual achievements for FT 2019
Ensure consistent and adequate level
of disaggregation
Provide consistent narrative where
actuals and targets differ more than
10%
4. Include in your workplans, M&E
support meetings
23. Questions for discussion
• Are we on the right track, both on the BTTT, scaling-up, and exposure
monitoring?
• Any challenges?
• What would you suggest?
24. Africa Research in Sustainable Intensification for the Next Generation
africa-rising.net
This presentation is licensed for use under the Creative Commons Attribution 4.0 International Licence.
Thank You