DAC_NOFO final.pdf

MILLENNIUM CHALLENGE CORPORATION

NOTICE OF FUNDING OPPORTUNITY # 95332418N0003

Data Analytics Center Project in Côte d’Ivoire

Data Collaboratives for Local Impact Program (DCLI) program

Cover Letter

November 24, 2017

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

Opportunity (NOFO) for an innovative, market-driven, sustainable and results-based project, herein called “Data Analytics Center Project in Côte d’Ivoire.” This project is one of two proposed investments in Côte d’Ivoire to leverage the data revolution and empower stakeholders to use data to improve lives through better decisions, budgetary alignment and optimization and citizen engagement. Specifically, this NOFO reaches out to organizations with an interest in receiving seed capital to rapidly stand up a data science services and training center. This entity will initially be expected to achieve specific outcomes related to the President’s Emergency Plan for AIDS Relief (PEPFAR) and MCC Côte d’Ivoire Compact data-related needs, while concurrently coordinating with a parallel investment in order to develop the data ecosystem, build and diversify client base and assure its sustainability beyond the period of funding. The

“Data Analytics Center” 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 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 #95332418N0003.

Key dates related to this NOFO are as follows:

Milestone Estimated Target Dates

Issue Date November 24, 2017

Phase I Pre-Application Teleconference December 7, 2017

Deadline for the Phase I Questions Two windows for questions: November 28-

December 5, 2017 and second window

December 11-15, 2017 https://www.mcc.gov/initiatives/initiative/mcc-pepfar-partnership https://www.mcc.gov/initiatives/initiative/mcc-pepfar-partnership https://www.mcc.gov/initiatives/initiative/mcc-pepfar-partnership

Milestone Estimated Target Dates

Anticipated Amendments to NOFO responses to

Questions Phase I

Estimated December 7 and December 12

Deadline for Phase I Applications (Concept

Paper)

December 21, 2017

Phase I Applicants are notified Estimated January 9, 2018

Phase II Pre-Application Conference (Selected Phase

II Applicant Teams only), in-Person or via

Teleconference

TBD

Deadline for Final Phase II Questions Submittal Two windows for questions: January 10-12, and second window January 22-26, 2018

Anticipated Amendment response to Questions

Phase II

Estimated January 15 and January 26

Deadline for Phase II Applications January 30, 2018

Candidate Applicant Team Presentations February 2018

Award of Cooperative Agreement March 2018

Selected Applicant Team Onboarding Target

Timeframe

March – April 2018

The successful Applicant (likely a Team of Prime and Consortium members) will be selected through a two-phase application process that will be completed consistent with 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 Analytics Center Project in Côte d’Ivoire

Notice of Funding Opportunity Number: # 95332418N0003

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

Issuance of this NOFO does not constitute a commitment from MCC to award the program. All application 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 opportunity to receive seed capital to create data science delivery capabilities in Côte d’Ivoire, increase the use of data for decision-making, including in subnational areas, and to enable greater country-based capacity to drive 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 Opportunities to Support PEPFAR and MCC Programming

5.5 Establish Project Management and Coordination

5.6 Establish Project Financial Management

5.7 Monitoring & Evaluation

RISKS AND MITIGATION STRATEGIES

7. KEY PERSONNEL AND OVERALL STAFFING

8. DELIVERABLES

9. PERIOD OF PERFORMANCE AND KEY MILESTONES

10. 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

MCC’s POINTS OF CONTACT

OVERVIEW OF APPLICATION PROCESS

SUBMISSION OF QUESTIONS AND TELECONFERENCES

CONTENT AND FORM OF APPLICATION SUBMISSION

4.1 Application Submission Instructions

4.2 Content and Format of Application Submissions – Phase I

3.3 Content and Format of Application Submissions – Phase II

DUNS AND SAM REQUIREMENTS

EVIDENCE OF RESPONSIBILITY

REQUIRED CERTIFICATES, ASSURANCES AND REPRESENTATIONS

SUBMISSION DATES AND TIMES

INTERGOVERNMENT REVIEW

FUNDING RESTRICTIONS

OTHER SUBMISSION REQUIREMENTS

SECTION E. APPLICATION REVIEW INFORMATION

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)

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

FEDERAL AWARD NOTICES

ADMINISTRATIVE AND NATIONAL POLICY REQUIREMENTS

MCC TECHNICAL OFFICE INVOLVEMENT

REPORTING

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

SME Small and Medium Enterprise

SMS Short Message Service

SOW Scope of Work

SPE Senior Procurement Executive

SSA Sub-Saharan Africa

TIN Taxpayer Identification Number

USAID United States Agency for International Development

USG United States Government

VACS Violence Against Children Survey

YALI Young African Leaders Initiative

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 receive seed funding to manage and implement the Data

Analytics Center Project, 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 https://www.mcc.gov/initiatives/initiative/mcc-pepfar-partnership 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 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.

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 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/

Section A, Page 8

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 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 300 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

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://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/ 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

Section A, Page 9 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).

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.

http://www.caidp.ci/ http://www.caidp.ci/ 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

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 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 is 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.

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

Section A, Page 11

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.

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

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.

http://www.opalproject.org/about-us/ https://www.cdc.gov/violenceprevention/vacs/VACS-Survey-Methods.html https://en.wikipedia.org/wiki/Profit_(accounting) https://en.wikipedia.org/wiki/State_(polity)

Section A, Page 12 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 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:

Data Analytics Center (DAC): The focus of this application, 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

Pedro and Bouaké, where the MCC Compact will be operating – as demand for those services arises. The specific root causes and key constraints that will be addressed through this project include:

Insufficient translation between data and information that results in a failure by government, funders, civil society, and others to use data and diminished feedback and demands of accountability by citizens;

Low understanding of the value of data science that results in failure of agencies to recognize the value in using data and insufficient data sharing across sectors; and

Insufficient translation between data and information, among others.

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

Section A, Page 13

Data for Youth Services Collaborative (DYSC): A concurrent NOFO to this one, the proposed Data Services for Youth Collaborative (DYSC) 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 assist in applying already-developed applications to Ivorian issues. DYSC can also be thought of as helping to foster a data environment where the DAC will be able to thrive by making more data available and identifying and building skills of data champions. 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.

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 – and, where possible, DCLI also supports the priority PEPFAR programmatic objective of reducing new HIV infections among adolescent girls in target districts, a goal that is also central to

PEPFAR’s 3-year DREAMS partnership, as one of its potential data impact applications. 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).

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.

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4. PROJECT DESCRIPTION

MCC is seeking support of a local organization registered or based in Côte d’Ivoire or a local organization in consortium with an international (or regional) organization (the “Applicant”) to finalize the design and implement the “Data Analytics Center” Project. Specifically, this

NOFO is reaching out to organizations with an interest in receiving seed capital to rapidly stand up a data science services and training center. This entity will initially be expected to achieve specific outcomes related to the President’s Emergency Plan for HIV/AIDS (PEPFAR) and MCC

Côte d’Ivoire data-related needs, while concurrently coordinating with a parallel investment

(Section A.3.3) in order to build and diversify its “client base” so as to assure its sustainability beyond the period of grant funding.

As a core investment focused on the data use or demand side of the Ivoirian data ecosystem, the

Data Analytics Center (DAC) will focus on the provision of data science services and targeted training of beneficiaries of those services in translation of data into action through training and support. These activities will take place principally at the subnational level and will be targeted to stakeholders that include PEPFAR, MCC, the Ministry of Health and Education, the Institut

National de la Statistique and others (see section A.3.1). 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 Global Health, gender equality, and economic growth and empowerment. Based out of a primary hub in Abidjan, the location of which will need to be strategically selected, DAC’s subnational services will deploy to serve programmatically important regions – including but not limited to PEPFAR DREAMS districts

Man, Daloa, Abobo East, and Cocody, as well as San Pedro and Bouaké, where the MCC Compact will be operating - as demand for those services arises.

This NOFO and the overall DCLI program does not pretend to fully understand the intricacies and needs of the national data ecosystem and 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 seed funding would be provided to an organization or a consortium to provide these solutions to reach project outcomes. The Applicant is encouraged to provide additional ideas, thoughts and strategies that would lead to stronger overall program integration, rapid results and sustainability.

Applicants should ensure their applications reflect how the work to be undertaken will contribute to addressing constraints on the use of data and encourage empowerment, youth participation and social inclusion to catalyze solutions on both subnational and national levels. Applicants should demonstrate how and to what extent their proposed project is likely to accomplish not only the requirements of this NOFO but also achieve bold outcomes in the short, medium, and longer term.

Applicants are strongly encouraged to develop a consortium of regional, international and/or local partners in order to leverage capabilities and lessons learned on analogous projects and to rapidly establish and sustainably maintain data science service capabilities in Côte d’Ivoire.

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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.

5.1 General

The desired outcomes of this project are:

1. To contribute to the development of robust, self-sustaining data science capacity (a self-sustaining “center of excellence” or “data science consultancy”) in service of the public good. Data science work during the period of performance will serve:

a. Clients representing critical USG-funded programs that support the economic and social well-being of Côte d’Ivoire

b. The GoCI, particularly in the areas of health and HIV, economic growth, and gender and social equality, and education

c. Outside organizations: other donors, NGOs, the private sector, and civil society who are working toward the betterment of Côte d’Ivoire.

2. To develop and demonstrate data capacity in select sub-national target areas, enabling local governments and citizens to make better use of data and using it to drive local action in cooperation with critical USG programs. Specifically, during the period of performance these areas will be targeted:

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

b. Bouaké and San Pedro in support of MCC’s Compact

3. To work with and strategically leverage DCLI DYSC project in order to develop a solid business plan and “future client base” beyond the period of funding – and to help DYSC to achieve its outcomes in developing the data ecosystem of Côte d’Ivoire, including:

a. Recurrent training on data literacy, critical thinking, data use for decision-making, and data advocacy as part of a 1-2 month Data Fellowship program established by the DYSC project

b. Technical support and advocacy for improved availability and use of data by the

GoCI

c. Technical support and advocacy for enhanced geospatial data and related services

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

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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 are among the criteria that will be used in selection of a successful application.

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 outcomes listed in Section 5.1. DCLI expects applicants to review these suggestions and propose additional or alternate actions to meet desired outcomes and enable the DAC to thrive beyond the period of performance. 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.

1. To demonstrate robust, self-sustaining data science capacity in service of the public good.

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

Stand up the capacity within two months to support data science services to PEPFAR, MCC, and other programs. “Data science” should go beyond simple data visualization, including data wrangling, cleaning/tidying, statistical analysis across multiple datasets, professional-caliber visualization, etc.

Develop an initial DAC business plan, including identity, branding, assets, services offered, target clients, budget needs and expected income for the first 6 months.

Strategically select and establish a space (or co-locate in an existing space) in Abidjan from which to offer data services and in which to convene small groups of stakeholders.

o Strategically evaluate and select optimal space from which to manage DAC services and conduct activities. Consider options such as co-location with the

MCC-funded Millennium Challenge Account (MCA), the PEPFAR-funded

OpenDCH, the Data Science Master’s Program at INP-HB (in

Yamousoukkro), or another desirable location.

o Establish and manage office space for the DAC and DYSC staff and with access to a convening space for convening stakeholders in Abidjan or other suitable location.

Respond to demand-driven data science service requirements, needs, and opportunities from critical USG stakeholders, including PEPFAR programming and the MCC Compact, GoCI, civil society, NGOs, the private sector. The sectors served

Section A, Page 17 should be in line with the DCLI program - including HIV and health, gender equality, economic growth, and education.

o DAC should seek a balance between work funded by USG and that directly serving local Ivoirian stakeholders, GoCI, regional West African or international organizations, etc.

o The majority of the efforts during the period of performance will be in support of PEPFAR programming – and where opportunities arise also in support of the MCC compact, which will be implemented between late 2018 and late

2023. However, over time, the DAC will need to build other sources of funding and diversify the stakeholders for whom it provides its service.

o Projects at the subnational level should be balanced with those focused on the national level.

o Data science services that directly address deficiencies in the use of data for

HIV epidemic control, for economic growth, and to address gender disparities may be offered with support from the other parallel project (DYSC).

Train stakeholders directly related to provided data services in data literacy, data use for decision-making, and data advocacy in order to ensure beneficial use of data analyses and visualizations – and enhanced engagement (through data) of key

PEPFAR and MCC stakeholders. Activities may include:

o Map and prioritize strategic stakeholders who would most benefit from basic data use skills based on PEPFAR, MCC and other investments as well as on existing local constraints (and opportunities) to greater use of data.

o Provide data literacy training to these priority stakeholders as well as the direct beneficiaries of data services. This may include support in use of data for decision-making, developing data-informed work plans, etc.

o Support data-use training needs of DYSC, the MCC Compact, and PEPFAR programs.

Conclude each data science project with a report (deliverable) issued to the soliciting organization, and, where appropriate, work with the soliciting organization to develop an abbreviated report suitable for public release.

2. To develop and demonstrate data capacity in select sub-national target areas, enabling local governments and citizens to make better use of data and using it to drive local action in cooperation with critical USG programs.

Work with the DYSC project to advance the use of data in sub-national areas.

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Deploy data scientists to subnational areas of interest using temporary offices, mobile hubs / “pop-ups,” or existing data/tech hubs or community or co-working spaces such as those supported through DYSC.

Use the data generated by PEPFAR and MCC (e.g., facility level targets, mapping data, education data sets) to generate greater programmatic awareness at the local level for areas where there are existing / upcoming strategic PEPFAR and MCC programs, and inform civic participation in these projects.

Communicate value and outcomes offered by data science services through targeted training, outreach, etc.

3. To work with and support the DCLI DYSC project to achieve its outcomes in developing the data ecosystem of Côte d’Ivoire.

Establish the curriculum for a 1-2 month Data Fellowship to provide practical training to 4 cohorts of 30 fellows that who be competitively selected and funded by the DCLI program (DYSC project) in Côte d’Ivoire;

o Design and implement a 1-2 month curriculum in data literacy, data management, etc. to provide Fellows with the know-how to improve data quality and supply in the government, development partners, NGOs, and the private sector for 4 cohorts of 30 Fellows.

o Support DYSC in recruiting cohorts of Data Fellows o Support DYSC in the creation of a job placement program

Allocate technical resources to development of data-related projects to strengthen the national and sub-national data environment, such as:

o Enhancement of the GoCI data portal o Establishment, demonstration, and support of a process and mechanism for release of data by the GoCI o Identification and preparation of data sets which may be made publicly available o Development of an inventory of government and non-government data and establish a linked index of available data sets.

It should be noted that the above will also strengthen the ability of DAC to do its work, by developing national and subnational data systems, identifying and opening data sets, and gaining knowledge about the data that is available.

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As guidance for these requirements, approximately 300 days of effort by junior but well-trained data fellows should be reserved for data and programming projects managed by DYSC.

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. The level of interworking between the projects on various aspects will need to be determined during the course of the projects. The DCLI team has called out areas in the NOFOs in which the teams would reasonably be expected to work together, where synergies are likely to be found, and where dependencies are required in order to facilitate certain aspects of the project goals. But coordination and interoperation will need to be managed by the teams on the ground, in cooperation with the DCLI team.

DAC will need to work in close alignment with DYSC. 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:

Some shared staffing, including a Communications Manager, Health/HIV and Gender

Specialist, 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 at the subnational level.

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…