Project Title

Project DARE (Data Analytics Raising Employment): An Employer Driven Approach to Prepare the Youth Workforce for a Data Driven Future 

Project Year

2016   

Project Number

HRD 04 2016A 

Project Session

Session 2   

Project Type

Standard 

Project Status

Project in Implementation   
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Project No.

HRD 04 2016A 

Project Title

Project DARE (Data Analytics Raising Employment): An Employer Driven Approach to Prepare the Youth Workforce for a Data Driven Future 

Project Status

Project in Implementation 

Publication (if any)

 

Fund Account

APEC Support Fund 

Sub-fund

ASF: General Fund 

Project Year

2016 

Project Session

Session 2 

APEC Funding

146,380 

Co-funding Amount

189,120 

Total Project Value

335,500 

Sponsoring Forum

Human Resource Development Working Group (HRDWG) 

Topics

Human Resources Development 

Committee

SOM Steering Committee on Economic and Technical Cooperation (SCE) 

Other Fora Involved

 

Other Non-APEC Stakeholders Involved

 

Proposing Economy(ies)

United States 

Co-Sponsoring Economies

Australia; Japan; Malaysia; Peru; Chinese Taipei; Viet Nam 

Expected Start Date

01/01/2017 

Expected Completion Date

31/12/2017 

Project Proponent Name 1

Chris Watson 

Job Title 1

Senior Advisor for APEC Affairs, International Labor Affairs Bureau 

Organization 1

US Department of Labor 

Postal Address 1

200 Constitution Ave., NW, Washington, DC 20210, USA 

Telephone 1

1-202 6934858 

Fax 1

Not Applicable 

Email 1

Watson.Christopher@dol.gov 

Project Proponent Name 2

Tracy Huang 

Job Title 2

Senior Consultant 

Organization 2

C&M International 

Postal Address 2

Not Applicable 

Telephone 2

Not Applicable 

Fax 2

Not Applicable 

Email 2

Not Applicable 

Declaration

Chris Watson and Tracy Huang 

Project Summary

Jobs requiring a familiarity with data analysis are forecasted to dramatically rise, resulting in a massive shortage of qualified employees. Some economies face a shortage of 1.5 million data analytics-enabled managers and analysts, costing billions of dollars in lost revenue annually (Source: McKinsey, 2016). Action must be taken urgently to avoid data-illiteracy becoming a significant constraint to economic growth. 

This project will convene experts in 2017 to determine the data analytics competencies employers are demanding (a “Data Analytics
Competency Checklist”) to enable APEC youth to secure the jobs of tomorrow and move with ease in tomorrow’s labor market.  In addition, the project will seek to catalyze partnerships among employers, academic institutions and other interested stakeholders to implement the Checklist’s recommendations.

Relevance

There is a fundamental mismatch between the needs and expectations of employers and the skills of young job seekers.  This mismatch is an unnecessary drain on economic growth.  The number of employers who cannot find qualified candidates to fill open positions is near historic proportions. 36% of employers claim they cannot find the talent they need; in Japan this figure is 81% (Source: Manpower Group, May 2014). 

At the same time, jobs requiring a familiarity with data analysis are forecasted to dramatically rise, resulting in a massive shortage of employees with the necessary skills.  Some economies could face a shortage of 1.5 million data analytics-enabled managers and analysts, costing some economies hundreds of billions of dollars in lost revenue annually (Source: McKinsey, 2016). The Business-Higher Education Forum (BHEF), an organization of Fortune 500 CEOs and academic leaders dedicated to addressing education and workforce challenges, has also identified data science as a priority for shared action. The talent gap can be bridged if more students are prepared for “deep analytical positions” but such action must be taken urgently to avoid data-illiteracy becoming a significant constraint to economies. 

This project will determine the data analytics competencies employers are demanding in young workers in order to enable APEC youth to secure the jobs of tomorrow and move with ease in tomorrow’s labor market. 

This is project supports Rank 1 as it addresses human capital development, education, skills development, and alignment of education and training to the regional labor market needs and youth employment.

Objectives

·  Quantify the shortage of data analytics-enabled workers in the APEC region and, if possible, estimate the economic opportunity at stake.

·  Determine the competencies needed so APEC youth are employable in a data-driven future. This “Data Analytics Checklist” will be developed by convening: employers (heads of HR of private sector and government employers that have a need for data analytics workforce); academic leaders (university provosts), organizations such as Association of Pacific Rim Universities (APRU) and APEC study centers; international organizations and other experts/stakeholders (e.g., OECD, ILO, BHEF); instructional design experts; ministries of education (individuals with oversight of curriculum, workforce readiness, or youth); ministries of labor.

·  Drive adoption of the Checklist in youth training and curriculum by catalyzing partnerships among employers, academic institutions and other interested stakeholders.

·  Ultimately, the objective is to increase the number of data analytics-enabled youth in the APEC region that employers are demanding. This project does so by creating a Checklist (the “Data Analytics Checklist”) for employers to communicate the competencies they need in today’s job market to educational leaders.  These educational leaders can then use the Checklist to equip their youth with the skills to consume, capture, and synthesize data and information to develop and communicate data-driven insights that drive value in a data-driven future.

Alignment

The project addresses the commitments made in the following statements: 

·  23rd APEC Economic Leaders’ Declaration: “Work closely with businesses, education and training providers, employment services, and civil society to understand the skills needed by industry and to develop education and training programs that will equip people with the skills and competencies to join the workforce and fulfill their potential.”

·  6th APEC Human Resources Development Ministerial Meeting Statement: “Maximize the opportunities afforded by globalization by improving our workforces’ capabilities…” and “exchange information on active labour market measures, good practices and policy tools that help deliver social protection more effectively so we can enable all citizens and vulnerable groups to have equal opportunities to share the benefits of economic growth.”

·  HRDWG 2014-2016 Strategic Plan: “Develop 21st century knowledge and skills for all”

·  HRDWG 2016 Workplan: “Promote science, technology, engineering and math (STEM) in the education of it human resources to cultivate talents for innovation and strengthen innovation capacities of MSMEs.”

·  Priorities for APEC Host Economy Peru: Investing in Human Capital Development

·  Port Moresby Joint Statement on the 2015 High Level Policy Dialogue on Human Capacity Building:

- We recognize and support the conduct of training programs for skills  development  to  help  workers  achieve  competencies required to meet industry demand;

- Work  towards  the  development  of  the  APEC  workforce    to possess  21st  Century  Skills – in  collaboration  with various private  industry  sectors;

- Focus  on  21st  Century  Skills  at  all  levels  of  education  and human capacity building through the pursuit of skills mapping in   cooperation   with   industries,   the   labor   ministries   and research institutions, noting how these skills, together with the technical   competencies   of   the   workforce, will   promote development  of  a  highly  skilled  productive  workforce  able  to meet  the  advanced  technology  requirements  of  21st  century jobs and lead to improved labor market outcomes.

TILF/ASF Justification

Skill shortage and skill mismatch are serious problems in many APEC developing economies. According to the Asian Development Bank (ADB), per capita income in a typical developing economy can more than double in twenty years if ‎cognitive skills can reach levels seen in more advanced economies. Furthermore, an ADB report shows that when education is aligned with private sector investment, there are better results in skills development. 

The Checklist will be employer-driven, ensuring alignment of recommended skills with employer needs for all economies, including developing economies. The data analytics competencies identified by the Checklist through an Advisory Group with multilateral organizations, private sector, governments, and education institutes will provide the guidance needed for developing economies to bring not only cognitive skills in the education system, but ones that align with private sector investment, driving the necessary capacity building and economic growth in the economies. 

Developing economies will be involved in the Advisory Group to provide input into—and help finalize—the Checklist based on their own experiences and examples so the final Checklist will be applicable to the needs of developing economies. Several of the co-sponsors of the project are also developing economies.

Beneficiaries and Outputs

Outputs: 

·  A Data Analytics Competency Checklist: A list of competencies to guide economies and academic institutions to equip their youth with the skills to consume, capture, and synthesize data and information to develop and communicate data-driven insights that drive value in a data-driven future. This Checklist will serve as a guide to train and educate APEC youth in data skills needed by employers in the region, and be incorporated as appropriate into higher education institution’s curricula. 

·  A Research Paper on Data Analytical Needs in the APEC Region: A paper that will quantify the shortage of data analytics-enabled workers in the APEC region and, if possible, estimate the economic opportunity at stake. 

·  A two-day Advisory Group Meeting: The meeting held prior to the HRDWG meeting will bring together 21 APEC economies’ employers, academic leaders, international organizations, and government officials in the workforce and education sphere to provide recommendations to the Checklist (location of meeting TBD). The meeting will also serve to build support among relevant experts and stakeholders, including potential pilot economies and institutions, to train and educate the next generation of APEC youth with the data analytic skills needed by employers. The meeting outcomes will be reported out at the HRDWG meeting. 

Outcomes: The development of the Checklist will be a guide for all education institutes to educate APEC youth in data-analytics skills needed by employers in the APEC region in a data-driven future. The vision is that education institutions will adopt the Checklist, in part or in whole as appropriate, to enable APEC youth to procure the data-analytic skills needed for the jobs of tomorrow so they may move with ease in the labor market. Medium-term outcomes include: 

·  Awareness of the economic impact of the shortage of data analytics-enabled workforce: While we are aware of studies in a few economies estimating the jobs and economic losses at stake, a research report of the APEC region as a whole will provide the urgency and evidence needed to take action and provide policy makers and leaders in educational institutions with the economic argument to highlight the shortage of data analytical-enabled youth. 

·  Identifying the skills needed by employers for today’s big data era: The Data Analytics Competency Checklist will allow employers to communicate the competencies they need in today’s job market to education leaders. It will be a guide for economies and educational institutions to develop data analytic curricula for APEC youth entering into the workforce, and meeting employer needs for skills needed in the job market. The vision would be for economies and educational institutions to increase the number of data analytics-enabled youth in the APEC region that employers are demanding by equipping their youth with the skills to consume, capture, and synthesize data and information to develop and communicate data-driven insights that drive value in a data-driven future. 

·  Bridging the unemployment gap by addressing skills needed by employers in a data-driven future: The Advisory Group Meeting on the margins of HRDWG will convene not only experts in government and educational institutions, but most importantly employers who can voice the needs of what is needed for today’s workforce. This will allow for policy makers and educational institutions to understand the employers’ needs, and to shape the direction of the skills taught to the youth workforce to better match the needs required by the market. If the Checklist drives the necessary changes in educating the youth workforce, there would be potential to increase employment and lower the unemployment rate. 

Beneficiaries: The participants in the Advisory Group will include: 

·  Employers: This project is unique in that it looks at the youth employment issue from an employer driven perspective. Through this project, employers will be able to communicate the skills needed in their workforce. Employers will most likely represented by the companies’ Human Resources departments and those who directly work in business divisions who have a need for data analytical enabled employees. The individuals participating in the advisory group will have an understanding of the data analytical competency skills needed to succeed on the job in their company  ABAC endorsed the project in 2016, and several ABAC members have also expressed their interest in taking part in the project. Companies that have expressed initial interest in Project DARE include Wiley, Moody’s, IBM, and PwC. The PO will continue to identify private sector employers through HRDWG nominations. These employers, and more who stand to benefit from the project, will be recruited.

·  Government officials from labor and education ministries: The officials will be invited to take part in the Advisory Group Meeting to finalize the Data Analytics Competency Checklist. The project will enable APEC economies to better understand the skills needed by employers in the APEC region in a data-driven future, and support them in shaping education and workforce training policies accordingly.

·  NGOs, multinational organizations, educational experts who are knowledgeable about education curricula and workforce training policies. Currently those identified include the OECD, the Asian Development Bank, the International Labour Organization, the Business-Higher Education Forum (BHEF), and the European Commission EDISON Data Science Framework (which carried out a similar data science competency project across EU). 

The direct beneficiaries and users of the Checklist will primarily be tertiary education institutions that incorporate competencies in curriculum for APEC youth.  The direct beneficiaries and users of the research quantifying the shortage of data science-enabled workers will primarily be tertiary education institutions (to encourage them to implement the Checklist), as well as government officials who can shape education and workforce training policies. 

The project’s ultimate beneficiaries include:

·  APEC Youth seeking to participate in the workforce and benefit from labor mobility (geographical and occupational) but lack the necessary data analytic skills to fill opening positions by employers.

·  Employers seeking to employ data analytics-enabled workforce.

.  APEC economies seeking fuller employment, especially among youth.

Dissemination

Project outputs for dissemination include: 1) A Data Analytics Competency Checklist 2) A Research Paper on Data Analytical Needs in the APEC region. These will be disseminated: 

Within APEC:

·  HRDWG: Outcomes will be communicated through in-person and electronic format to the forum.

·  PPSTI: PO will aim to brief the PPSTI, and outcomes will be communicated through in-person and electronic format to the forum.

·  ABAC:  PO will aim to brief the ABAC, and outcomes from this project will be communicated through in-person and electronic format to the forum. 

Outside APEC: Outcomes will be disseminated through in-person and electronic format to relevant stakeholders such as academic institutions and industry organizations positioned to further disseminate the Checklist. 

We also aim to leverage existing online platforms and use the APEC online publication database and APEC website to share the Checklist and the research study which are outputs from the project.

Gender

To ensure participation from both men and women, the Project Overseer (PO) will proactively seek representation by both men and women with expertise to contribute to the Checklist. The PO is cognizant that certain study fields closely related to data-analytics in STEM (science, technology, engineering and mathematics) may have gender imbalance, so additional effort to engage both men and women in the Advisory Group will be taken to ensure there is a wide perspective of views considered in the project.

The project seeks to increase all youth labor participation—both men and women—in the APEC region. The research paper will reflect a gender component by aiming to report on the workforce needs and opportunities by breaking down by gender as data is available. This will allow the research to identify whether there is a gap in women involvement in the data analytical field, and the impact of this gap in the economy. The Checklist will include explanations of how adoption of the Checklist should be applied to both men and women, with a strong focus to ensure women are not left behind.  In 2014, G20 Leaders committed to “bring more than 100 million women into the labour force” and acknowledged that this would “significantly increase global growth and reduce poverty and inequality.”  Ensuring that the skills identified by the Checklist apply to young women entering into the workforce will not only benefit women, but also APEC economies’ GDPs. It is reported that raising female labor force participation would raise GDP in the United States by 5 percent and in Japan by 9 percent.

Work Plan

Timeline

Activities / Output

Economies/Stakeholders Involved

January

1. Develop Terms of Reference and scope of work for research paper (to quantify the shortage of data science enabled workers in the APEC region) and select researcher

Project Overseer (USA) with other stakeholders to provide input

January

Identify and recruit the Advisory Group

PO (USA), HRDWG, and other stakeholders to provide input

February

Develop meeting agenda, confirm workshop timing and venue

PO (USA) with other stakeholders to provide input

March

Issue invitation to May Advisory Group meeting

PO (USA)

April

Develop first draft of “Data Analytics Checklist”

PO (USA) with other stakeholders to provide input

May

Hold Advisory Group meeting on the margins of the HRDWG (May 22-24) or Human Resource High Level Meeting (May 25)

Multi-sectoral representatives from APEC economies

June

Circulate Checklist to HRDWG, ABAC, PPSTI and other relevant APEC bodies

PO (USA)

Risks

Risk

Management Approach

Disagreement among project contributors over content of Checklist due to differences in different APEC economy employer needs

An initial draft of the Checklist will be developed to ensure the inclusion of input from diverse stakeholders, including industry employers, education, labor and other government officials, academic institutions, and NGOs.

Logistical challenges in meeting preparations

The project team will be in regular communication with the various stakeholders and the hosting institution in Vietnam. Regular communication channel will allow the project team to address logistical challenges as they arise on a swift basis.

Schedule conflicts from sought speakers or experts

The project will partner closely with various stakeholders to draw from a substantial pool of the world’s highest quality speakers and experts on data analytics education and training. Enhanced recruitment will overcome scheduling conflicts that arise for target attendees.

Checklist slow to adapt into education policy given the different barriers and guidelines in how education institutions develop curricula in APEC economies

The Checklist will not only serve as a benchmark of skills that employers seek in the era of big data, but as an awareness tool for economies to realize the employers’ needs for a skilled data analytics workforce, so that change can be made in the long run.

Even if education institutions are slow to adopt the Checklist recommendations for their own education system, supplemental ways in the short term to train and educate youth workforce, such as through online courses or training workshops, may also address the skills gap outside the more traditional education institutions and curricula.

Monitoring and Evaluation

The ultimate indicator of impact/success is the increase in data analytics-enabled youth entering the workforce with the competencies employers are demanding, including a high number of women. 

Interim indicators include the following:

·  Increase in the number of tertiary education institutions offering curricula addressing the Data Analytics Competency Checklist;

·  Increase in the number of data analytics-enabled youth entering the workforce, including women;

·  Increase in the number of employers citing greater availability (reduced shortage) of data analytics-enabled candidates to fill open positions

·  Reduction in the number of open, unfillable positions requiring data analytics skills

·  Strong participation at the advisory group with 12 experts and 40 participants across preferably 15 or more economies. 

Assuming resources are available, a baseline will be explored to identify and measure the indicators. This will allow the project to have reasonable and realistic target goals that can be quantified. The target of the percentage in increase for the indicators will partially be guided by the baseline of current data analytical course offerings and workforce shortages. 

Information that may be considered to assess the indicators include:

·  Surveying tertiary educational institutions to track the number of institutions offering curricula with competencies in the Data Analytics Competency Checklist;

·  Surveying educational institutions to determine enrollment and completion rates of curricula with competencies in the Checklist;

·  In the long term, surveying employers to see if educational institutions that adopt Checklist competencies in its curricula result in an increased number of data analytics-enabled youth meeting industry needs, including women. 

The information may be preliminarily collected by the PO through an online survey a year after unveiling of the Checklist by targeting the advisory group members and HRDWG economy representatives (to be distributed to their respective educational institutions).

Linkages

Engagement:

·  The Project Overseers (PO) have been actively engaging with HRDWG, PPSTI, and ABAC to brief representatives on the project. ABAC endorsed the project and PPSTI welcomed the initiative.

·  The project also seeks to build its work on existing efforts to encourage more data analytics-enabled youth, including by partnering with the Business-Higher Education Forum (BHEF), an organization of Fortune 500 CEOs and academic leaders dedicated to addressing education and workforce challenges, which has been working on this issue domestically in the United States. 

Previous Work: This project complements several HRDWG projects including the following. The project will aim to connect with the relevant HRDWG projects to see how their experiences may be valuable input in the Checklist and possible future pilot or implementation actions:

·  the China-proposed “Education for Quality Growth: Competencies, Employability and Innovation” project, which seeks to build technical support and recommendations ahead of the 6th APEC Education Ministerial Meeting (4 – 6 October 2016, Lima);

·  the Peru-led project “International Symposium and Workshop on Strategies for Strengthening Employability (Soft) Skills” (10-11 September 2016, Lima);

·  the Australia-led project “Skills Mapping Across APEC Economies” that developed a picture of employment projections, skill shortages and the supply of skills in the APEC region;

·  the Korea-led proposal on an “APEC Framework for Boosting Youth Employment and Entrepreneurship” that seeks to elevate and mainstream youth employment across APEC.

·  the Australian-led APEC Occupational Standards Framework project; and

·  the Australian-led Occupational Standards Framework project report. 

To the extent that there is interest form other groups the proposal will be shared with other APEC fora including the Policy Partnership on Science, Technology and Innovation (PPSTI). 

APEC’s Comparative Advantage: 

.
While the need for data analytics-enabled workforce is documented in several research studies, the work to date has focused on just a few developed economies. Further, to our knowledge, there has been no effort to act on this identified need by bringing the key stakeholders together to develop solutions, such as ensuring that youth are graduating with the actual competencies employers require.

·  APEC has a strong relationship with private sector and many employers in the APEC region. As the global economy is becoming more data-driven, this project will be a marriage of the two, and allow APEC economies to jointly leverage employer-driven results to address the shortage in data-analytics enabled youth, and allow economies and businesses to make data-driven decisions.

. APEC is uniquely positioned in that it includes both developed and developing economies that can share the experience in addressing this shift in workforce skill needs.

Sustainability

This project will have an ongoing impact after APEC funding is finished in the following ways: 

·  The Checklist will serve as a set of recommendations to education institutions and governments on the skills needed by employers in the data driven future. These will serve as a guide for education institutes and employers to begin conversations to develop curricula, programs, and better equip youth with the skills to consume, capture, and synthesize data and information to develop and communicate data-driven insights that drive value in a data-driven future.

·  Aside from developing the Checklist at the Advisory Group meeting, the meeting will also serve to build support among relevant experts and stakeholders, including potential pilot economies and institutions, to train and educate the next generation of APEC youth with the data analytic skills needed by employers. A session during the meeting will be dedicated to discussing and sharing the recommended next step actions needed to pilot the Checklist, Educational experts will be invited to speak and share how the competencies identified in the Checklist may be incorporated in curricula. These recommendations will be captured in the final outcome document (the Checklist publication). The vision is that this will encourage education institutions and economies to consider piloting the Checklist in its curricula as a next step following the project. Through pilots, the project will maintain momentum and continue to carry an impact far beyond the meeting this year.

.  In 2018, if funding is available, next steps could be planned to survey participating educational institutions and heads of HR of employers to see the gaps that need to be addressed, and regroup to devise capacity building and support needed to adopt the Checklist into curricula for APEC youth.

Project Overseers

Christopher Watson, Senior Advisor for Asia and the Pacific and APEC Affairs, International Labor Affairs Bureau, U.S. Department of Labor, U.S. Delegate to the APEC Human Resources Development Working Group (HRDWG). 

Mr. Watson will be working in close consultation with Tracy Huang, Senior Consultant at C&M International. Ms. Huang has managed and implemented a number of APEC workshops and programs over the last two years. She presently provides program management for several public-private partnership projects in APEC working groups.

Cost Efficiency

Not Applicable.

Drawdown Timetable

Not Applicable.

Direct Labour

Not Applicable.

Waivers

Not Applicable.

Are there any supporting document attached?

No 
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Project No.

Project Title

Project Status

Publication (if any)

Fund Account

Sub-fund

Project Year

Project Session

APEC Funding

Co-funding Amount

Total Project Value

Sponsoring Forum

Topics

Committee

Other Fora Involved

Other Non-APEC Stakeholders Involved

Proposing Economy(ies)

Co-Sponsoring Economies

Expected Start Date

Expected Completion Date

Project Proponent Name 1

Job Title 1

Organization 1

Postal Address 1

Telephone 1

Fax 1

Email 1

Project Proponent Name 2

Job Title 2

Organization 2

Postal Address 2

Telephone 2

Fax 2

Email 2

Declaration

Project Summary

Relevance

Objectives

Alignment

TILF/ASF Justification

Beneficiaries and Outputs

Dissemination

Gender

Work Plan

Risks

Monitoring and Evaluation

Linkages

Sustainability

Project Overseers

Cost Efficiency

Drawdown Timetable

Direct Labour

Waivers

Are there any supporting document attached?

hdFldAdmin

Project Number

Previous Fora

Secretariat Comments

Reprogramming Notes

Consolidated QAF

Endorsement By Fora

PD Sign Off

Batch

Forum Priority

Committee Ranking Category

Committee Priority

PDM Priority

Priority Within Funding Category

Monitoring Report Received

Completion Report Received

PMU Field 1

PMU Field 2

PMU Field 3

On Behalf Of

Proposal Status

Originating Sub-Forum

Approval Status
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