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MILLENNIUM CHALLENGE CORPORATION

NOTICE OF FUNDING OPPORTUNITY #95332418N0004

Data for Youth Services Collaborative Project in Côte d’Ivoire

Data Collaboratives for Local Impact Program (DCLI) program

Cover Letter

November 30, 2017

Dear Applicants, The Millennium Challenge Corporation (MCC) is pleased to launch this Notice of Funding

Opportunity (NOFO) for an exciting, innovative, and results-based project, “Data for Youth

Services Collaborative (DYSC) Project in Côte d’Ivoire.” This project is one of two proposed investments to leverage the data revolution and empower stakeholders in Côte d’Ivoire to use data to improve lives through better decisions, budgetary alignment and optimization as well as citizen engagement. Specifically, this NOFO reaches out to organizations with demonstrated experience, creativity, and know-how to design and reliably oversee a series of strategic investments to achieve specific outcomes primarily related to data supply, developing the data ecosystem, and increasing involvement of youth, as well as data-related innovation and partnerships in Côte d’Ivoire. The DYSC Project in Côte d’Ivoire falls under a broader Data

Collaboratives for Local Impact Program (DCLI) program that has been successfully operating in

Tanzania since 2016.

This is the initial announcement for this new funding opportunity. The Catalog of Federal

Domestic Assistance (CFDA) number is 85.002 MCC Foreign Assistance for Overseas Programs.

For the purposes of this Notification of Funding Opportunity (NOFO) the term "Grant" is synonymous with "Cooperative Agreement"; "Grantee" is synonymous with "Recipient"; and

"Grant Officer" is synonymous with "Agreement Officer".

Eligible organizations interested in submitting an application should read this NOFO thoroughly to understand the nature of the work required, eligibility and application submission requirements, and the evaluation process. The funding opportunity number is #95332418N0004.

Key dates related to this NOFO are as follows:

Milestone Target Date

Issue Date November 30, 2017

Phase I Pre-Application Teleconference December 12, 2017

Window open for the subpartners to submit the Expressions of Interests that will be posted

December 1, 2017 through January 15, Deadline for the Phase I Questions Two windows for questions: first is from December 1 through December

13, 2017, and second from December

23, 2017 through January 2, 2018 https://www.mcc.gov/initiatives/initiative/mcc-pepfar-partnership https://www.mcc.gov/initiatives/initiative/mcc-pepfar-partnership

Milestone Target Date

Anticipated Amendments to NOFO responses to Questions

Phase I

Several will be issued

Deadline for Phase I Applications (Concept Paper) January 5, 2017

Phase I Applicants are notified Estimated January 12, 2018

Phase II Pre-Application Conference (Selected Phase II

Applicant Teams), In-Person/Teleconference

TBD

Deadline for Final Phase II Questions Submittal Two windows for questions: first is from January 12 through January 17, 2018, and second from January 23 through January 26, 2018

Anticipated Amendment response to Questions Phase II several will be issued

Deadline for Phase II Applications February 2, 2018

Candidate Applicant Team Presentations March 2018

Selected Applicant Team Onboarding Target Timeframe Late March 2018

The successful Applicant (Team of Prime and Consortium members) will be selected through a two-phase application process that will be completed consistent with the Open Contracting

Principles.1 Additional notification milestones pertinent to this process will be posted on www.grants.gov and are further described in Section H.

Program (Project) Name: Data for Youth Services Collaborative Project in Côte d’Ivoire

Notice of Funding Opportunity Number: # 95332418N0004

Questions and correspondence for this NOFO should be directed to the point of contacts specified in Section D. MCC’s responses will be posted on www.grants.gov under this NOFO number.

Issue of this NOFO does not constitute a commitment from MCC to award the program. All applications and submission costs are at the Applicants’ expense.

1 For more information refer to:

http://www.opencontracting.org/2013/06/20/introducing_the_open_contracting_principles/ http://www.grants.gov/ http://www.grants.gov/ http://www.grants.gov/ http://www.opencontracting.org/2013/06/20/introducing_the_open_contracting_principles/

We encourage you to apply to this exciting new funding opportunity, working with us to increase the availability and use of data for decision-making, including in subnational areas where it may be most useful, and to enable greater development impact!

Sincerely, Taylor Wolf

Agreement Officer

MCC/Washington

Page i

Table of Contents SECTION A. PROGRAM and PROJECT DESCRIPTION

1. AUTHORITY

2. INTRODUCTION

2.1 MCC, PEPFAR and Data

2.2 Data Collaboratives for Local Impact

2.3 DCLI Tanzania

3. PROGRAM BACKGROUND

3.1 Ivorian Data Ecosystem

3.2 Problem, Root Causes and Opportunities

3.3 Côte d’Ivoire Program Logic and Proposed Investments

3.4 Sector Focus and Connection to Sustainable Development Goals

4. PROJECT DESCRIPTION

5. PROJECT OUTCOMES

5.1 General

5.2 Potential Activities and Programmatic Considerations

5.3 Connectivity Between Projects

5.4 Establish Project Management and Coordination

5.5 Establish Project Financial Management

5.6 Monitoring & Evaluation

5.7 Lessons Learned and Outreach

6. RISKS AND MITIGATION STRATEGIES

7. KEY PERSONNEL AND OVERALL STAFFING

8. DELIVERABLES

9. PERIOD OF PERFORMANCE AND KEY MILESTONES

Annex I – M&E Framework and Illustrative Indicators

I.1 General

I.2 Problem Diagnostic

I.3 Program Logic

I.4 Monitoring

I.5 Evaluation

Figure 1: Data Collaboratives for Local Impact – Detailed Problem Analysis

Page ii

Figure 2: Data Collaboratives for Local Impact – Program Logic

SECTION B. FEDERAL AWARD INFORMATION

1. PURPOSE OF AWARD

2. ESTIMATED FUNDING AND NUMBER OF AWARDS

3. PERIOD OF PERFORMANCE AND START DATE

4. SUBSTANTIAL INVOLVEMENT

SECTION C. ELIGIBILITY INFORMATION

1. ELIGIBILITY REQUIREMENTS

1.1 Prime/Lead Applicant

1.2 Partnerships and/or Consortia

1.3 Budget Allocation and Local Content

2. COST SHARING OR MATCHING

SECTION D. APPLICATION AND SUBMISSION INFORMATION

1. MCC’s POINTS OF CONTACT

2. OVERVIEW OF APPLICATION PROCESS

3. SUBMISSION OF QUESTIONS AND TELECONFERENCES

4. CONTENT AND FORM OF APPLICATION SUBMISSION

4.1 Application Submission Instructions

4.2 Content and Format of Application Submissions – Phase I

4.3 Content and Format of Application Submissions – Phase II

5. DUNS AND SAM REQUIREMENTS

6. EVIDENCE OF RESPONSIBILITY

7. REQUIRED CERTIFICATES, ASSURANCES AND REPRESENTATIONS

8. SUBMISSION DATES AND TIMES

9. INTERGOVERNMENT REVIEW

10. FUNDING RESTRICTIONS

11. OTHER SUBMISSION REQUIREMENTS

SECTION E. APPLICATION REVIEW INFORMATION

1. MERIT REVIEW CRITERIA IMPORTANCE

1.1 Phase I: Concept Paper (100 points total)

1.2 Phase II: Complete Application, by MCC invitation only (100 points total)

2. REVIEW AND SELECTION PROCESS

2.1 Technical Review and Selection Process

Page iii

2.2 Evaluation for Cost Effectiveness and Cost Realism (Phase II only)

SECTION F. FEDERAL AWARD ADMINISTRATION

1. FEDERAL AWARD NOTICES

2. ADMINISTRATIVE AND NATIONAL POLICY REQUIREMENTS

3. MCC TECHNICAL OFFICE INVOLVEMENT

4. REPORTING

5. PROGRAM INCOME AND GENERATED INTEREST

SECTION G. FEDERAL AWARDING AGENCY CONTACT(S)

SECTION H. OTHER INFORMATION

Page iv

List of Acronyms

Acronym Full Term

ADAPT Advanced Data Planning Tool

AfDB African Development Bank

AIDS Acquired immune Deficiency Syndrome

AO Agreement Officer

AODC Africa Open Data Conference

AOR Agreement Officer's Representative

CAIDP Commission d’Accès à l’Information d’Intérêt Public et aux

Documents Publics

CFDA Catalog of Federal Domestic Assistance

CFR Code of Federal Regulations

CI Côte d’Ivoire

CNTIG Comité National de Télédétection et d’Information Géographique

CPA Certified Public Accountant

CSO Civil Society Organization

DAC Data Analytics Center

DCLI Data Collaboratives for Local Impact

DLI Data for Local Impact

DREAMS Determined, Resilient, Empowered, Aids-free, Mentored, and Safe

DUNS Data Universal Numbering System

DYSC Data for Youth Services Collaborative

ENSEA École nationale supérieure de statistique et d'économie appliquée

FAPIIS Federal Awardee Performance and Integrity Information System

FAQ Frequently Asked Question

GAAS Generally Accepted Auditing Standards

GoCI Government of Côte d’Ivoire

GPSDD Global Partnership for Sustainable Development Data

GSA General Services Administration

HIV Human Immunodeficiency Virus

IATI International Aid Transparency Index

IBC Interior Business Center

ICT Information and communications technology

IDRC International Development Research Center

IHE Institution for Higher Education

INP-HB Institut national polytechnique Félix Houphouët-Boigny

M&E Monitoring and Evaluation

MCC Millennium Challenge Corporation

MOA Memorandum of Agreement

Page v

Acronym Full Term

MoH Ministry of Health

MWF Mandela Washington Fellowship

NGO Non-Governmental Organization

NICRA Negotiated Indirect Cost Rate Agreement

NOFO Notice of Funding Opportunity

NSO National Statistics Office

ODC Other Direct Cost

ODIN Open Data Inventory

OGP Open Government Partnership

OSM OpenStreetMap

PARIS21 Partnership in Statistics for Development in the 21st Century

PD Project Description

PDF Portable Document Format

PEPFAR President's Emergency Plan for AIDS Relief

PM Project Monitor

SAM System for Award Management

SC Selection Committee

SDG Sustainable Development Goal

SF Standard Form

Section A, Page 6

SECTION A. PROGRAM and PROJECT DESCRIPTION

1. AUTHORITY

Pursuant to the Millennium Challenge Corporation Act of 2003, as amended, the United States

Government (USG), as represented by the Millennium Challenge Corporation (MCC), is seeking support for the activities described below, and requests applications from eligible organizations

(see Section C of this NOFO) to manage and implement the Data for Youth Services

Collaborative, which is one of two anticipated core investments considered in Côte d’Ivoire under

MCC partnership with the United States President's Emergency Plan for AIDS Relief (PEPFAR), a program referred to as the Data Collaboratives for Local Impact (DCLI) that has also included several investments in Tanzania since 2016. The prime award(s) resulting from this NOFO will be administered in accordance with the following:

2 CFR 200 UNIFORM ADMINISTRATIVE REQUIREMENTS, COST PRINCIPLES,

AND AUDIT REQUIREMENTS FOR FEDERAL AWARDS (http://www.ecfr.gov/cgi-bin/text-idx?tpl=/ecfrbrowse/Title02/2cfr200_main_02.tpl)

MCC’s STANDARD PROVISIONS (attached to NOFO)

MCC’s GRANTS AND COOPERATIVE AGREEMENT MANUAL

PEPFAR STEWARDSHIP AND OVERSIGHT ACT OF 2013

(https://www.govtrack.us/congress/bills/113/s1545/text)

2. INTRODUCTION

2.1 MCC, PEPFAR and Data

MCC is a government corporation as defined in section 103 of title 5, United States Code, established by the U.S. Congress. It is an independent agency separate from the Department of

State and the United States Agency for International Development (USAID). MCC applies an innovative philosophy to foreign aid; it’s mission is to provide assistance that will support economic growth and poverty reduction in carefully selected countries that demonstrate a commitment to just and democratic governance, economic freedom, and investments in their citizens. Eligible countries develop, in coordination with MCC, a program agreement (Compact) that is then implemented during five years. Our model is defined by core principles, of selectivity, country ownership, transparency, and a focus on results. For more information on MCC, please visit www.mcc.gov.

Over its 13-year history, MCC has developed extensive experience setting up country-led programs inspired by data. MCC is a world leader in data transparency, ranking among the top three most transparent aid organizations in the world in Publish What You Fund’s 2016 Aid

Transparency Index. MCC is committed to ensuring that the exponential pace of the data revolution enables more inclusive growth, innovation, and participation by communities that will benefit from development the most but currently have the least access to technology and data.

http://www.ecfr.gov/cgi-bin/text-idx?tpl=/ecfrbrowse/Title02/2cfr200_main_02.tpl http://www.ecfr.gov/cgi-bin/text-idx?tpl=/ecfrbrowse/Title02/2cfr200_main_02.tpl https://www.govtrack.us/congress/bills/113/s1545/text https://en.wikipedia.org/wiki/United_States_Congress https://en.wikipedia.org/wiki/United_States_Department_of_State https://en.wikipedia.org/wiki/United_States_Agency_for_International_Development http://www.mcc.gov/ http://data.mcc.gov/

Section A, Page 7

The United States President's Emergency Plan for AIDS Relief (PEPFAR) is using and sharing data in unprecedented ways for greater transparency, accountability, and impact. In an effort to do the “right things in the right places at the right time”, PEPFAR is using data to strategically target geographic areas and populations with the highest HIV burden to accelerate progress toward epidemic control. PEPFAR is also opening its data through the PEPFAR Dashboards, enabling all to view, download and utilize PEPFAR data, to optimize program effectiveness and foster mutual accountability. PEPFAR is committed to putting data at the center of decision-making to achieve the greatest impact for investments and achieve an AIDS-free generation. For more information, please visit www.pepfar.gov/pepfar/.

2.2 Data Collaboratives for Local Impact

The $21.8 million Data Collaboratives for Local Impact (DCLI) program is led by MCC and funded by PEPFAR. The DCLI vision is to enable and showcase use of data by government, citizens, and other stakeholders in partner countries to support PEPFAR programming and the fight HIV/AIDS. The ability to use data for decision making is also expected to enable partner countries to enhance their own programs, align their scarce budgets with priorities and equip them with the data skills needed be able to better leverage the data revolution. The program’s sectoral focus is HIV/AIDS and health, gender equality, economic growth, and education.

DCLI has been operating in Tanzania since April 2016 through four interconnected projects, the

Tanzania Data Lab (dLab), the Data for Local Impact Innovation Challenge (DLIIC), Data Zetu, and a collaboration with the Global Partnership for Sustainable Development Data. Plans are underway for two additional core projects in Côte d’Ivoire.

The nature and timing of DCLI fits into the broader context of the global data revolution, including the formation of the Global Partnership for Sustainable Development Data (The Global

Partnership)2. Data and the types of initiatives that advocate for greater data openness such as the

International Open Data Charter3 and Open Contracting4 can potentially unlock billions in additional economic value in sectors such as education, transportation, energy and health, thereby giving rise to entrepreneurial businesses, innovation, and improved, more-efficient services.

DCLI is aligned with broader U.S. government efforts to maximize the effectiveness of U.S.

foreign assistance through more effective programs, greater transparency and accountability for results.

2.3 DCLI Tanzania

MCC and PEFPAR selected Tanzania as the program’s first country. There, the program established the dLab that provides training and data science support services; the DLIIC, an innovation hub that enlists and supports entrepreneurs in designing data-based solutions; and Data

Zetu (“Our Data” in Swahili), a project that exposes subnational level authorities and others

2 For more information on the GPSDD, see http://www.data4sdgs.org/ 3 http://www.opendatacharter.org/.

4 http://www.open-contracting.org/.

http://data.pepfar.net/ http://www.pepfar.gov/pepfar/ https://dlab.or.tz/ http://dliinnovationchallenge.com/ file:///C:/Users/rowlandc/Documents/DCLI/CIV/datazetu.or.tz/ http://www.data4sdgs.org/ http://intranet.mcc.gov/department/DCO/divisions/pepfar/Documents/CI_NOFOs/datazetu.or.tz/ http://intranet.mcc.gov/department/DCO/divisions/pepfar/Documents/CI_NOFOs/datazetu.or.tz/

Section A, Page 8 stakeholders to the benefits of data use. Together, in about 1 year these projects have jumpstarted data use in Tanzania, created a portfolio of almost 20 data “use stories” and achieve the following to date:

Over 1,000 individuals, principally from the health sector have been trained at the dLab;

and, the university where the lab is hosted is developing a data science curriculum for its students ensuring a future supply of data experts in country. The lab has also attracted complementary organizations to its space such as the local chapter of the Humanitarian

Open Street Maps (OSM) that routinely maps priority PEPFAR district and a Flying Lab led by WeRobotics in support of greater use of drones for humanitarian purposes.

Through the innovation challenge, over 4,000 entrepreneurs are participating in competitions. Scalable innovations with direct relevance to PEPFAR programming are emerging, from ways that predictive data analytics can reduce school dropout, a factor correlated with increased risk of contracting HIV/AIDs, to SMS-based solutions linking health experts to people who need care or helping to verify medicine stocks a local pharmacies.

At the subnational level, local officials have been trained to understand the data which they collect thereby both improving the quality of data while also enabling them to use it to for planning and prioritization.

With support from DCLI, Tanzania officially joined the Global Partnership for

Sustainable Development Data - and the Tanzanian National Bureau of Statistics is establishing data baselines that will help track progress towards SDGs.

On account of these promising results, the DCLI program was selected by the Organization for

Economic Cooperation and Development (OECD) as one of 45 case studies in their recently published 2017 flagship report: Data for Development.

3. PROGRAM BACKGROUND

3.1 Ivorian Data Ecosystem

Generally, the Côte d’Ivoire country level data ecosystem5, while in need of strengthening, is upward bound. Côte d’Ivoire was first ranked by the Open Data Barometer in 2016, scoring fairly well on readiness (policies), but poorly on implementation and impact. While some data exists, it is not available in a format (i.e. digital and machine readable) that enables sharing and interoperability – and the capacity to use the data that is available is insufficient.

Data Ecosystem Enabling Environment

Legislative commitments are in place to open data: There is an equivalent of a freedom of information Act, including an organization responsible for its enforcement, Commission d’Accès à l’Information d’Intérêt Public et aux Documents Publics (CAIDP).

5 A data ecosystem considers: Supply of data, demand for and use of the data, the technical capacity to generate, collect, compile and analyze the data, and the enabling environment (laws and policies) that enable access to information by the public, promote sharing and transparency.

http://ramanihuria.org/ http://ramanihuria.org/ https://werobotics.org/ http://www.data4sdgs.org/master-blog/2017/6/26/people-are-the-heart-of-the-data-revolution http://www.data4sdgs.org/master-blog/2017/6/26/people-are-the-heart-of-the-data-revolution http://www.oecd-ilibrary.org/development/development-co-operation-report-2017/glossary_dcr-2017-46-en;jsessionid=1i4m69m6ewuej.x-oecd-live-02 http://opendatabarometer.org/4thedition/detail-country/?_year=2016&indicator=ODB&detail=CIV http://www.caidp.ci/ http://www.caidp.ci/

Section A, Page 9

The GoCI joined in the Open Government Partnership (OGP) in 2015, proposed an action plan in 2016, and established a government open data portal with about 60 data sets (many are as recent as 2016). This portal is separate from that developed by the African

Development Bank (AfDB), which can be viewed here.

Côte d’Ivoire’s ambition is to position itself as the leader of francophone Africa, as the technological and ICT hub in West Africa – and there are efforts in this regard to attract investments from the technical and pharmaceutical sectors: VITIB is a private company

(the government is a minority stakeholder) whose mission is to grow a free trade zone of primarily biotech and ICT companies. So far, progress is slow and most of the space is empty.

Cell phone penetration is 100% and Internet access is currently on the order of 30% - and improving rapidly. Investments are being made in ICT infrastructure: There are plans to lay 6,000 km of fiber optics (already completed 1,500) and establish 1,500 community computer centers (only 30 thus far).

The Comité National de Télédétection et d’Information Géographique (CNTIG) counsels the GoCI and private institutions, on matters related to geospatial information – and encourages greater data sharing and data use among government ministries.

Data Supply

Côte d’Ivoire has an Open Data Portal with data sets covering health, ICT, education security and agriculture with the largest breadth and scarcely covering employment, social protection, law/justice and economy/finance. Most of these datasets lack disaggregation and some are listed but lack downloadable files or are PDFs visually representing the data.

The portal is currently geared towards reporting rather than data sharing.

The Open Data Inventory (ODIN) ranks Côte D’Ivoire 147 of 173 countries assessed, lower than the regional median (14th in West Africa) across all three major data categories

(overall, coverage and openness). The highest levels of coverage and openness are on social statistics; the lowest levels are on environmental statistics. Social statistics has the lowest coverage of gender, poverty & income, and education facilities; health outcomes and data on reproductive health are weak; and the subscore for economic statistics is devoid of money and banking stats, and is weak in labor statistics and government finance. While disaggregation, and non-proprietary scores are strong, there are weaknesses in recent data availability, metadata availability and administrative levels; and absence of machine readable data, terms of use and download options. The ODIN recommends that the GoCI publish more data sets.

Based on input received during meetings, progress is uneven and ministries are not sharing data with each other. In fact, rather than coordinating through data linkages, sharing and interoperability, ministries coordinate through “focal points”, i.e. individuals charged with carrying certain themes (e.g. SDG focal points exist in each ministry).

There is also insufficient awareness of the value of data (e.g. Ministry of Health or MoH not seeing value in opening the health facilities registry to the public). This challenge is https://www.opengovpartnership.org/countries/c-te-divoire http://www.data.gouv.ci/ http://www.data.gouv.ci/ http://newafricabusinessnews.com/2016/09/great-cote-divoire-tech-hub-on-the-rise/ http://vitibzonefranche.com/ http://www.cntig.net/ https://data.gouv.ci/ http://odin.opendatawatch.com/

Section A, Page 10 beginning to be addressed with MoH / PEPFAR data alignment work, which will have an impact on DHIS2. However, MoH has been slow in making DHIS2 data available to all.

Data Demand

Demand for good data is high among NGOs, researchers, and students.

Since agriculture, and in particular cocoa production, represents the majority of the Gross

Domestic Production there is interest in modernizing this sector through “e-agriculture” efforts and investments, including provision of training and climate/pricing information to farmers in rural areas.

However, Côte d’Ivoire is lagging in the provision of e-Government services.

Technical Capacity

There are a number of co-working, tech hubs/labs in Abidjan (e.g. Jokkolabs, OVillage, Baby Lab, Orange Fab Lab) – and ongoing efforts to innovate, incubate and/or accelerate promising startups (e.g. Fondation Jeunesse Numerique and/or Orange Fab). However, most innovation is focused on tech and app development, and not on developing broader data literacy, data use or data science skills – all of which could increase skills, employability and are in high demand.

There is also a dynamic young population (an active OSM community of over 1,000 mappers), with entrepreneurs in the tech space, YALI fellows (totaling about 60 including all years 2014-2017).

INP-HB, in collaboration with Orange, will be offering a Master’s in Data Science – Big

Data beginning in Fall 2017. The other of the Grandes Ecoles in Côte d’Ivoire is ENSEA, a recognized center of excellence in francophone West Africa for statistics training, which does not include a data science focus and/or curriculum. The institutions enjoy a strong relationship, in part because the current director of INP-HB was the director of ENSEA for 20 years prior. As part of the MCC Compact, the two institutions will be developing a joint Master’s in Infrastructure Management.

On-going Investments

PEPFAR funding an open geospatial data center (OpenDCH), initially focused on the

MoH and its subnational level representations. DCLI investments would need to be complementary.

MCC’s compact (to be signed in November 2017 and begin operation in the fall of 2018), will include significant investment in education infrastructure and education data management systems is expected to results in an increase in education data sets which can be leveraged across sectors.

The World Bank is funding extension of work (use of OPAL to generate data of value from cellular big data) between Orange and the Senegal National Bureau of Statistics to CI.

A Violence Against Children Survey (VACS) will be conducted in 2018, with a public use dataset becoming available 1-2 years after completion.

http://jokkolabs.net/ http://ovillage.ci/ https://www.fablabs.io/labs/babylab http://www.vitibzonefranche.com/news/smartup.html http://www.orangefab.ci/ https://inphb.ci/1/vues/accueil/index.php http://www.ensea.ed.ci/ http://intranet.mcc.gov/department/DCO/divisions/pepfar/Documents/MCC%20IM/Masters%20Program%20Program%20Design%20Recommendations%20-%20Anne-Claire%20Hervy%20-rev.docx http://www.opalproject.org/about-us/ https://www.cdc.gov/violenceprevention/vacs/VACS-Survey-Methods.html

Section A, Page 11

3.2 Problem, Root Causes and Opportunities

The overall problem to be addressed through the DCLI program is that data are infrequently and ineffectively used to support decision making, at all levels.

Based on consultation and scoping6, the data environment in Sub-Saharan Africa (SSA) countries is evolving but remains constrained on several important fronts, both on the supply and demand sides and at the subnational level. As shown in Annex I, this ultimately results in fewer benefits to people at the local level, both as individuals who could perhaps improve their livelihoods from greater access to, and use of, data, but also as recipients of benefits from investors and service providers, including governments, as well as donors, not-for-profit organizations, and the private sector7.

While it will take time to strengthen the overall data ecosystem, the DCLI program aims to demonstrate that it is possible to bring about positive changes in the use of data within a comparatively short period of time by focusing on improvements related to:

Program decisions

Alignment of budgets and needs

Transparency and mutual accountability8

While the problem diagnosis is expected to be refined over time, key root causes are emerging that spawn interconnecting and self-reinforcing constraints:

1. Demand side: Civil society, the government, private sector, and the general public do not sufficiently value using data in decision making. This stems in part from low data availability, but also from a low understanding of the value of data, lack of ability to locate the data that are available, and low capacity to use that data (data literacy, data manipulation, and visualization) and translate it into actionable information.

2. Supply side: Insufficient data is collected (both insufficient in quantity and frequency), and the data that is collected is of variable (often poor) quality. For what quality, complete data exist, there are no incentives to share among government, donors, civil society, the private sector, and across sectors. Policies affecting open data, standards and protocols and processes related to opening up and sharing of data are nascent.

Integrally related to both, the technical capacity to use data and the enabling environment that facilitates sharing data also constrain the growth of the data ecosystem. Policies and legislation

6 MCC and PEPFAR conducted consultation that has included more than 100 organizations and stakeholders based in Tanzania, Zambia, Kenya, Côte d’Ivoire, Africa more broadly and globally. Scoping involved assessment against components of a country data ecosystem.

7 Private sector refers here to that part of the economy which is run by private individuals or groups, usually as a means of enterprise for profit, and is not controlled by the State.

8 ‘Mutual Accountability’ refers to stakeholders holding one another responsible for commitments made through creative collaborations between government, citizens, local and international organizations, and the private sector, in the form of a well-established feedback loop aimed at aligning efforts.

https://en.wikipedia.org/wiki/Profit_(accounting) https://en.wikipedia.org/wiki/State_(polity)

Section A, Page 12 affecting open data are still evolving, and data priorities among government (even within and between government ministries), the private sector and civil society are insufficiently aligned.

The above constraints limit the important feedback loop (between citizens at the service delivery level and governments, donors, and the private sector who make development decisions and investments) that is important for programmatic effectiveness and mutual accountability – and even for a data ecosystem to sustainably grow and evolve. Without addressing these issues, the exponential pace of the data revolution may exclude socially disadvantaged communities (the “digital divide”) that have the greatest need for data and evidence-based development programs.

3.3 Côte d’Ivoire Program Logic and Proposed Investments

As shown in Annex I (Program Logic), two specifics investments are being proposed in order to strengthen the Côte d’Ivoire data ecosystem:

1. Data for Youth Services Collaborative (DYSC): The proposed DYSC Project will bring together multiple actors to improve the supply of readily-available, machine-readable, open-format and open-license data. The intention of DYSC is to bolster the availability of data for services to Ivorian citizens in key areas, to engage youth as champions of these services, and to drive innovation by amongst others applying already-developed applications to Ivorian issues. Unlike DAC, DYSC is not intended to be self-sustaining, except through the intrinsic benefits of the data-driven services; or through additional outside funding to address particular data constraints. The specific root causes and key constraints that will be addressed through this project fall under the umbrellas of

“data supply” and “enabling environment,” as well as, through collaboration with DAC, “technical capacity.” Specific root causes and constraints include:

Lack of incentives to share data between stakeholders;

Gaps in data collection;

Variable quality of available data and lack of interoperability; and

Poor translation between data and information.

(Note: Applicants are requested to submit applications only for this component under this NOFO.)

2. Data Analytics Center (DAC): A concurrent NOFO to this one, this project will supply data science services and targeted training of direct and peripheral beneficiaries of those services, at the national and subnational levels. Envisioned as a sustainable project, DAC would include from inception the capacity for revenue generation and a mandate for service-oriented work in the thematic areas of HIV/AIDS and health, gender equality, economic growth, and education. Based out of a primary hub in Abidjan, DAC’s subnational services will utilize space in programmatically important regions – including but not limited to DREAMS districts Man, Daloa, Cocody, and Abobo East, as well as San

Section A, Page 13

Pedro and Bouaké, where the MCC Compact will be operating – as demand for those services arises.

3.4 Sector Focus and Connection to Sustainable Development Goals

DCLI’s sectoral focus is on HIV and health, as well as gender equality and economic growth.

Where possible, DCLI also supports as one of its potential data impact applications the priority

PEPFAR objective of reducing new HIV infections among adolescent girls in target districts, a goal that is central to PEPFAR’s 3-year DREAMS partnership and PEPFAR’s continuing efforts to address the too-high HIV rate in this critical group. Given the strong linkages between education, economic empowerment, health and wellbeing – and lowered risk of HIV/AIDs, in Côte d’Ivoire, DCLI will also more include education as a sectoral focus of its efforts. MCC’s compact (to be signed in November 2017 and begin operation in the fall of 2018), will include significant investment in education infrastructure and education data management systems is expected to results in an increase in education data sets which can be leveraged across sectors.

The program aligns directly with efforts relating to the following SDGs: 3 (Health and Wellbeing);

5 (Gender Equality); 8 (Decent Work and Economic Growth); 17 (Partnerships to Achieve

SDGs)9; and, in Côte d’Ivoire, 4 (Quality Education).

4. PROJECT DESCRIPTION

MCC is seeking support of US, international, African regional, or local Ivoirian organizations (the “Applicant”) to finalize the design and implement the “Data for Youth

Services Collaborative” Project. This project seeks to leverage the Applicant Team’s collective experience, creativity, and know-how to reliably and rapidly oversee a series of strategic investments primarily related to data availability and the enabling environment for data use, increasing involvement of youth and women, as well as data-related innovation, and partnerships in Côte d’Ivoire.

A data ecosystem in any country has four inter-related elements: Supply, demand, technical capacity, and an enabling environment. In Côte d’Ivoire, each of the four elements can benefit

9 It is expected that the Applicant will clearly link their proposal to achieving relevant SDGs and targets/indicators.

For example:

SDG 1 (End Poverty) o 1.4 By 2030, ensure that all men and women, in particular the poor and vulnerable, have equal rights to economic resources, as well as access to basic services o 1.a Ensure significant mobilization of resources from a variety of sources, including through enhanced development cooperation, in order to provide adequate and predictable means for developing countries…to implement programs and policies to end poverty in all its dimensions

SDG 3 (Health) o 3.3 By 2030, end the epidemics of AIDS..,;

SDG 5 (Gender Equality) o 5.b Enhance the use of enabling technology, in particular ICT to promote empowerment of women;

o 5.c Adopt and strengthen sound policies and enforceable legislation for the promotion of gender equality and empowerment of all women and girls at all levels, etc.

Section A, Page 14 from additional effort and investment to make improvements, with the goal of removing constraints from the use of information for innovation and better evidence-based decision making.

The proposed Data for Youth Services Collaborative (DYSC) focuses primarily on the data availability (“supply”) and the policies and processes that limit data use (the “enabling environment“) in the Ivoirian data ecosystem, while a complementary investment (subject of a separate but related NOFO), the Data Analytics Center (DAC) addresses data-use (“demand”).

The projects will work together to develop in-country skills (“technical capacity”).

A clear constraint on the data ecosystem in Côte d’Ivoire is data availability: only limited data is readily accessible for use and reuse, and the data is scattered in multiple locations, making it difficult to find and use. In addition, there is only a nascent, little-used open data portal. DYSC should bring together multiple actors to improve the supply of readily-available, machine-readable, open-format and open-license data, while addressing key policies and infrastructure constraints which limit data use. The project is intended to bolster the availability of data for services to Ivorian citizens in key areas, to engage youth as champions of these services, and to spur innovation in data use, including applying lessons learned from and solutions proven in other countries to Ivorian issues.

This NOFO and the overall DCLI program does not pretend to fully understand the intricacies and needs of the national data ecosystem and the sub-national target areas, and it does not intend to be explicit as to the details of a solution. It is intended to set a framework from which solutions can be designed by applicants to reach project outcomes. The Applicant is encouraged to provide additional ideas, thoughts and strategies that would lead to stronger overall program integration.

Applicants should ensure their applications reflect how the work to be undertaken will contribute to addressing constraints on the availability and accessibility of data and encourage local empowerment, youth participation, and social inclusion to catalyze solutions. Applicants should demonstrate how and to what extent their strategy and approach will accomplish (or exceed) the requirements of this NOFO.

Applicants are strongly encouraged to develop a consortium of local, regional and/or international partners to leverage capabilities and lessons learned on analogous projects in order to oversee strategic grants, stakeholder involvement, a fellowship program and other tasks seeking to unlock data supply and use in Côte d’Ivoire, while coordinating closely with a second DCLI investment

(the DAC project).

5. PROJECT OUTCOMES

Detailed below are indications of what MCC aims to achieve with this NOFO. The Applicant will, guided by the sections that follow, propose an approach, strategy, and work plan (program description) to achieve the target outcomes.

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5.1 General

The desired outcomes of this project are:

1. To develop and enhance the national enabling environment and availability of data to enable better use of data.

2. To develop the supply and use of data at sub-national levels with a focus on areas that can enhance PEPFAR and MCC program outcomes. Specifically, during the period of performance these areas will be targeted:

Man, Daloa, Cocody, and Abobo East in support of PEPFAR’s DREAMS-like programs

Bouake and San Pedro in support of MCC’s Compact

3. To encourage the country’s youth to become adept in informed, evidence-based decision-making.

4. To fuel innovation and partnerships to enhance the availability and use of data.

In addition to the specific project outcomes, it is expected that the Applicant will also link the proposed interventions to the broader overall DCLI program outcomes. The long-term goal is that data is more frequently and effectively used to support decision-making in Côte d’Ivoire;

enhancing the engagement by key PEPFAR (and MCC) programmatic stakeholders with data.

However, by end of the program, the applicant should seek to document how the project interventions are contributing to:

Improved decisions, Improved alignment of budgets and needs, and

Greater transparency and mutual accountability

Applicants are strongly encouraged to propose innovative, additional and/or alternative ideas, outcomes and activities to those indicated in this Program Description (PD). As noted in Section E.1, the degree to which the application reflects an understanding of the goals to be achieved and demonstrates an ability to contribute to implementation strategy, provide an effective and reliable grant making and oversight mechanism and contribute to a data ecosystem that will enable data-related investments, such as the DAC Project (to be implemented concurrently), to thrive.

5.2 Potential Activities and Programmatic Considerations

DCLI is providing a list of possible interventions/program activities which could be implemented in support of the desired outcomes. DCLI expects applicants to review these suggestions, use them only if appropriate, and also propose additional or alternate actions to meet desired outcomes.

The Applicant in the Concept Paper for Phase I will propose a concept of implementation in the proposed target areas. The Applicant in the Phase II application will present a final strategy and work plan describing how to reach the stated and any additional desired outcomes.

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1. To develop and enhance the national enabling environment for data use.

To fulfill this target outcome, DCLI anticipates that the project would need to:

Develop and advocate for improved data access and privacy policies:

o Facilitate adoption and implementation of the Open Data Charter by the GoCI;

o Develop, socialize and advocate for legislation of a national privacy policy;

o Facilitate CI’s joining of the Global Partnership for Sustainable Development

Data;

Inventory high value data sets, with particular attention to HIV/AIDs and health, gender equality, education and economic growth.

Develop and improve the process and practice of making more data available:

o Facilitate an increase in available data on GOCI’s Open Data Portal - especially in key sectors such as HIV and health, economic growth, gender equality, and education - including not just access to raw data but access through APIs;

o Assist sub-national areas to develop data portals, inventory data, and open key data sets;

o Collaborate with PEPFAR’s OpenDCH project to assist in publication of and access to health data;

o Collaborate with other Ministries government organizations to assist in the publications of other potentially high value data sets including but not limited to different types of data in areas related to health, education, economic growth and gender inclusion.

Develop availability and enhanced use of geospatial data:

o Collaborate with CNTIG, the Centre de Cartographie et Teledetection, or others to augment available data and geospatial analysis o Work with government agencies, at national and sub-national levels, to clearly define and publish fine-grained shape files of political, land-use and cadastral boundaries.

2. To develop the supply and use of data at sub-national levels with a focus on areas that can enhance PEPFAR and MCC program outcomes.

To fulfill this target outcome, DCLI anticipates that the project would need to:

Make better information available to the general citizenry of the targeted area and government personnel responsible for these areas.

http://www.bnetd.ci/bnetd/cct

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Research, document and publish the national and subnational data flows for the listed thematic areas (health and HIV, economic growth, education, including understanding gender equality in each area). This research will enable better development of the data environment and improved movement of data between subnational and national areas.

With the DAC (i.e. capacity building through targeted training), enable local government and citizens to make better use of data, transforming it into useful information and using it to determine priorities and drive local action.

o Build awareness about data availability and use, especially at a subnational level, by engaging citizens through community groups, media, and other means;

o Complement and enhance efforts of PEPFAR’s OpenDCH investment in select subnational areas.

Seed the local data ecosystem through the creation or enhancement of local technology hubs and innovation spaces.

o Ascertain the presence of data and/or tech hubs in priority subnational areas selected in collaboration with DAC and DCLI, which may include Man, Daloa, San Pedro, Bouaké, and/or within Abidjan (Cocody, Abobo East);

o Solicit proposals from community civil society groups for support of existing or establishment of new data or tech hubs in regions, competitively select from among these, and oversee disbursement of grant funds.

Improve information sharing through opening of data between levels of government -departmental, regional, district, and national – as well as among other organizations such as NGOs, universities, medical institutions, etc.

3. To encourage the country’s youth to become adept in informed, evidence-based decision-making.

To fulfill this target outcome, DCLI anticipates that the project would need to:

Develop a Data Fellows program in coordination with DAC to develop the technical capacity of promising applicants:

o Recruit and manage at least four competitively selected pools of 30-50 qualified candidates per cohort;

o Provide administrative support for the duration of the fellowship, the curriculum of which will be the responsibility of DAC;

o Develop and implement a job placement program for Data Fellows.

Encourage alumni and participants of the State Department’s Mandela Washington

Fellowship program (formerly known as the Young African Leaders Initiative or

YALI) to participate in data advocacy;

Mobilize youth to complete mapping of priority areas for PEPFAR, MCC, GoCI;

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4. To fuel innovation and partnerships to enhance the availability and use of data.

Facilitate the application of open source tools, including mobile and web applications, to the Ivoirian context;

Run challenges and award prizes to address arising needs in the data ecosystem.

o From a pool of qualified applicants, select grant awardees through a competitive process.

o Perform all necessary due diligence, and manage the disbursement to subgrantees.

Establish or co-fund innovative initiatives, collaborations, and partnerships with stakeholders

Applicants are advised to allocate at least $450,000 reserved for innovation and collaboration grants and awards.

5.3 Connectivity Between Projects

DCLI expects that the two projects in Côte d’Ivoire will be openly cooperative and interdependent during the Period of Performance. DYSC will need to work in close alignment with DAC. In addition to the inherent connections and complementary activities between two projects working in the data ecosystem in Côte d’Ivoire, the projects are envisioned as having more concrete connections in the following areas:

Shared staffing, including a Communications Manager, Health/HIV and Gender

Specialist, and M&E Manager. These will be contracted as part of the DYSC project, but will provide services (approximately 50% of effort) to DAC, and to facilitate connections between the two projects and teams.

Shared space, which will be managed by DAC in Abidjan and DYSC in targeted subnational level areas.

Coordination of a Data Fellows program which will be managed by DYSC but to which

DAC will be expected to provide technical resources for training and mentoring, and to advise on job placement for the successful Fellows, as described in 5.2.

DYSC will make a significant effort to develop the data infrastructure in the country, and

DAC is expected to contribute to this effort. DAC is expected to contribute at least 300 person-days of its non-senior data science fellows toward technical work related to activities such as described in 5.2.1.

Applicants are also invited to propose additional project synergies – as well as ideas on how strategic support from DCLI Tanzania projects could be helpful to achieving DAC and DYSC goals in Côte d’Ivoire.

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5.4 Establish Project Management and Coordination

The Applicant will become familiar with relevant documentation that will be provided by the AOR and PM at the cooperative agreement’s start date.

The Applicant will develop an inception report that provides updates to the approach and methodology for designing and implementing the Project and management and technical support to meet the PD’s requirements (for the Period of Performance) as outlined in the application. The

Applicant will also develop and submit a draft work plan to the AOR and PM that (i) details the timeframe and methodology to meet the PD’s requirements (for the Period of Performance) and incorporates key milestones and desired results provided in this PD and (ii) addresses issues raised during negotiations (on the basis of the work plan submitted as part of the application).

Following the submission of the inception report and draft work plan to the AOR and PM, the

Applicant will hold a kickoff meeting with the AOR, PM, and the broader MCC-PEPFAR partnership team. The objectives of the kickoff meeting will be to: (i) introduce the AOR, PM, Applicant team, MCC-PEPFAR partnership team; (ii) ensure a common understanding of the PD and cooperative agreement’s requirements; (iii) clarify roles related to management and oversight of this cooperative agreement; (iv) identify and resolve any outstanding questions arising from negotiations; (v) discuss the inception report and draft work plan, and agree upon next steps; and

(vi) establish and/or confirm collaboration and communication procedures among Project stakeholders.

Based on discussions during negotiation of the cooperative agreement, an overall approach to the work and work plan should be completed.

Following the kickoff meeting and upon receipt of the AOR and PM’s comments, the Applicant will submit a final work plan. The Applicant will monitor the work plan and submit an updated work plan, on a quarterly basis, that reports on progress and details any variances/changes to the initial work plan. In addition, the Applicant will submit bi-weekly status reports, based on a simple outline and template that will be agreed upon with the AOR and PM. As part of the work plan updates and status reporting, the Applicant will establish a process by which the Agreement

Officer (AO)10, AOR and PM will be notified of issues that are likely to affect Project tasks, schedule or goals.

Deliverables…

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