Public-Private Partnerships in Online Content Moderation | IGF 2023 Open Forum #95

Arguments

Importance of national partnerships between private, public, and civil society for a robust data economy

---

Need for an intermediary to manage data pooling

---

Report

The focus of the analysis is the significance of national partnerships between the private sector, civil society, and governments in establishing a robust data economy. These partnerships are deemed essential at a national level, bringing together stakeholders to collaborate on developing and managing data resources.

The argument presented highlights the necessity of national partnerships for effectively implementing a data economy. The involvement of the private sector, civil society, and governments is seen as vital in addressing the challenges and opportunities related to data sharing and utilization.

The analysis stresses the need for all relevant parties to form synergistic partnerships to effectively tackle these issues, as they are critical for progress. Additionally, the analysis emphasizes the need for an intermediary to oversee and manage data pooling. Data pooling is deemed valuable for companies as it enables greater access to diverse data sources.

However, commercial sensitivity issues can arise from data pooling. Therefore, an intermediary is recommended to facilitate and navigate the complexities of data pooling, ensuring that commercial sensitivities are appropriately addressed. Furthermore, the analysis advocates for the creation of universal international standards for data sharing.

The presence of different data regulations and licenses in each country is considered an obstacle to effective data sharing. Government obstructions in accessing data are also recognized as hindrances to technological advancement. To overcome these challenges, the establishment of international standards is recommended.

This includes considering South-South cooperation in standard setting to ensure comprehensive and inclusive standards. Lastly, the International Governance Forum (IGF) Secretariat is specifically mentioned as being tasked with setting international standards. This underscores the recognition of the IGF's pivotal role in developing standards and guidelines for the governance and management of data resources on a global scale.

In summary, the analysis highlights the importance of national partnerships in fostering a robust data economy. The involvement of the private sector, civil society, and governments is pivotal in tackling challenges related to data sharing and utilization. The need for an intermediary in managing data pooling, the creation of universal international standards for data sharing, and the role of the IGF Secretariat are all key points addressed in the analysis.

Overall, the analysis provides valuable insights into the considerations and recommendations for the effective development and management of data resources.

Arguments

Forming partnerships between public and private sectors can be challenging due to language barriers and differences in procedures

---

Public and private partnerships can lead to successful projects and data collection in fields like agriculture and healthcare

---

Governments should have the political will to form partnerships

---

Report

Forming partnerships between the public and private sectors can be challenging due to language barriers and differences in procedures, often leading to frustration. The public sector, such as the government, possesses the reach and assets, while the private sector, particularly start-ups, offer innovation.

However, their differing communication methods and procedures can create obstacles in establishing effective collaborations. One solution to ease the formation of public-private partnerships is to have a facilitator with experience working in the public sector. This individual can bridge the gap between the two sectors and facilitate engagement.

Additionally, international development agencies, experienced in working with both public and private sectors, can contribute to the formation and facilitation of these partnerships. Successful examples of public and private partnerships exist, particularly in agriculture and healthcare. These collaborations have led to significant projects and data collection.

For instance, a company formed partnerships with public health institutions, gaining access to a hundred years of data on Africans. Another project in agriculture involving the government and a public university resulted in the creation of the largest disease and pest data sets in the world.

These success stories highlight the potential for effective collaboration between public and private sectors. Adhering to data protection laws is crucial when handling sensitive data in these projects. It is important to consider the data protection laws of the country of operation.

Even in the absence of specific regulations, following a standard like the General Data Protection Regulation (GDPR) ensures the secure handling of sensitive information. Maintaining data privacy and security is vital in public-private partnerships. The political will to form partnerships is crucial for governments.

Partnerships can help address the toughest challenges within a country by utilizing data-centric or artificial intelligence solutions. Governments should recognize the potential benefits of collaborations and demonstrate the necessary commitment and support to foster their formation. Furthermore, the success of public-private partnerships within a government often relies on internal political agreement and consensus.

Merely having a few agencies willing to fund these partnerships is insufficient; there needs to be broader recognition and agreement within the government. Creating an environment where different agencies within the government understand and value the potential impact and efficiency of collaboration is essential.

In conclusion, forming partnerships between the public and private sectors can be challenging due to language barriers and differing procedures. However, having a facilitator with experience in the public sector and involving international development agencies can facilitate the formation and success of these partnerships.

Public and private collaborations have the potential to achieve significant milestones and data collection, particularly in agriculture and healthcare. Adhering to data protection laws and regulations is crucial when handling sensitive information. Governments should demonstrate the political will to form partnerships and strive for internal consensus and support within their agencies.

By doing so, they can effectively address the toughest challenges within their countries, harnessing the power of partnerships for the benefit of all.

Arguments

Discussion on public-private data partnerships

---

Microsoft appears heavily involved in data partnerships

---

Generating revenue and philanthropic work are considered as trade-offs

---

Helani Galpaya is curious about the internal dynamics of a large company like Microsoft and the potential conflicts of incentives among different business units given the differences in project timelines.

---

There are data protection laws in some countries that prohibit the transfer of data, even for research purposes

---

In light of restrictive data transfer laws, utilising techniques such as federated learning, which keeps the data within the countries of origin, could be a solution

---

The value of data increases when multiple companies and government departments pool their data together

---

Report

Public-private data partnerships are crucial in understanding and achieving the Sustainable Development Goals (SDGs). Microsoft, a key player in these partnerships, not only shares data but also provides infrastructure, capacity building, and sets standards. However, there is a trade-off for companies like Microsoft between generating revenue and undertaking philanthropic work due to their commercial nature.

Balancing these trade-offs requires careful consideration and strategic decision-making. Investing in low digitally connected countries is seen as a long-term vision that can contribute to achieving the digital SDGs and bridging the digital divide. Data protection laws pose challenges to data sharing and research collaborations, but techniques like federated learning offer potential solutions to work around these restrictions.

Data pooling can also maximize the value of data by pooling resources from multiple companies and government departments, leading to collective insights. To ensure data privacy and security in data pooling scenarios, it is important to involve a trustworthy party.

By leveraging the expertise and resources of both the public and private sectors, we can make progress towards the SDGs and create a sustainable future.

Arguments

Public-private data partnerships in the Global South have tangible value in monitoring and achieving Sustainable Development Goals

---

Successful partnerships take time and depend on trust building

---

Large firms with global reach are better able to sustain such relationships

---

Report

A research study involving 94 countries has emphasised the value of public-private data partnerships in the Global South for monitoring and achieving Sustainable Development Goals (SDGs). The study identified a total of 394 data actions within these partnerships, with a specific focus on SDGs related to climate action, sustainable cities and communities, and good health and well-being.

It is important to note that not all SDGs hold equal importance across different regions. Climate action, sustainable cities and communities, and good health and well-being were found to be the most commonly addressed SDGs in these partnerships. This implies that these particular goals are deemed more urgent and relevant within the Global South.

However, the research also acknowledged certain challenges in establishing successful public-private partnerships. Time and trust-building were identified as crucial elements for ensuring the success of these collaborations. Partnerships require dedicated efforts and active participation from both public and private entities.

It is imperative to invest time in developing trust between the stakeholders involved to overcome potential obstacles and achieve desired outcomes. Furthermore, the research suggests that large firms with global reach are better equipped to sustain these relationships. Their established networks and resources make them better positioned to navigate the complexities of public-private partnerships.

This observation could have implications for future partnership establishment, with an emphasis on involving influential and globally connected corporations. Another key argument presented is the significance of having a legal framework in place to enable and support these partnerships. A well-defined legal framework can provide clarity on the roles and responsibilities of each party involved, facilitate decision-making processes, and offer protection for all stakeholders.

The presence of a legal framework can enhance the effectiveness and efficiency of public-private partnerships. Additionally, the research highlights the pivotal role of brokers in the success of public-private partnerships. Brokers act as mediators or facilitators between the public and private entities, bridging skill and capacity gaps, and providing technical infrastructure.

Their involvement adds value to the collaboration by ensuring effective communication, negotiation, and coordination between the parties, ultimately leading to more successful outcomes. In conclusion, public-private data partnerships hold tangible value in monitoring and achieving SDGs in the Global South.

However, establishing successful collaborations requires time, trust-building, and the involvement of large firms with global reach. The presence of a legal framework and the role of brokers as mediators or facilitators are crucial factors that contribute to the success of public-private partnerships.

By considering these elements, stakeholders can enhance their efforts in achieving sustainable development goals in the Global South.

Arguments

Microsoft, apart from providing discounts and donations, created the Microsoft Cloud for nonprofit organizations. This is aligned around a common data model, making technological solutions for nonprofits more manageable and serving their mission with a lower investment.

---

Microsoft believes in contributing to the community as part of its corporate social responsibility. They track their work against SDGs and also has collaborations across different sectors to promote access to data.

---

Microsoft believes economic growth must be inclusive

---

Mike Flannagan appreciates the collaboration between his organization and governments worldwide

---

Mike Flannagan supports more global standardization on data privacy and data protection

---

Report

Microsoft has demonstrated a strong commitment to supporting nonprofits worldwide by providing nearly $4 billion in discounts and donations. These contributions aim to facilitate the work of nonprofit organizations and help them fulfill their missions more effectively. In line with this commitment, Microsoft has developed the Microsoft Cloud specifically for nonprofit organizations.

This cloud solution is designed around a common data model that addresses the specific needs of nonprofits, such as attracting donors and delivering programs at scale. By leveraging this common data model, nonprofit organizations can access and utilize technological solutions more easily and affordably.

In addition to their financial support, Microsoft embraces corporate social responsibility (CSR) and actively tracks their work against the Sustainable Development Goals (SDGs). They have initiated collaborations across various sectors, including nonprofits, universities, companies, and governments, to promote data sharing and access.

Through these collaborations, Microsoft aims to foster partnerships for achieving the SDGs and drive positive social impact. This approach highlights Microsoft's belief in the importance of community engagement and their dedication to making a difference through technology. Microsoft acknowledges the significance of open data in driving impact, even though full openness may not always be feasible due to privacy or commercial concerns.

They emphasize the value of utilizing data in a more open manner to break down data silos and promote transparency and collaboration. This stance reflects their understanding of the importance of balancing data privacy and the benefits of sharing data for greater societal good.

Furthermore, Microsoft advocates for inclusive economic growth. They emphasize that economic progress should not only benefit shareholders but also consider the well-being and prosperity of a broader range of stakeholders. This is evident in the way Microsoft structures compensation for executives and employees, aligning it with principles of inclusive growth.

In line with the technological advancements of the modern era, Microsoft recognizes the urgent need for building skills globally, with a particular focus on technology, data, cybersecurity, and AI. They acknowledge the existence of a global skills gap in these areas and view their investments in skill building as beneficial both for the world and the future of their company.

By championing skill training and development in these critical areas, Microsoft aims to empower individuals and enhance employability in a rapidly evolving digital landscape. Mike Flannagan, a representative of Microsoft, views the collaboration between Microsoft and governments worldwide as highly valuable.

Such collaborations enable governments to leverage Microsoft's expertise and technology to address common societal challenges effectively. Flannagan also supports the adoption of global standards for data privacy and protection. Standardization in these crucial areas would simplify operations on a global scale and ensure consistency and compliance across borders.

Overall, Microsoft's commitment to supporting nonprofits, tracking their work against the SDGs, promoting data sharing, advocating for inclusive economic growth, building relevant skills, and collaborating with governments reflects their dedication to driving positive change and using technology as a force for good.

Arguments

International collaboration and data sharing in AI research is crucial.

---

Ethical considerations such as transparency and gender equality must be prioritized.

---

Data-sharing lack structured protocol between different countries.

---

Legal framework related to data privacy and protection and data access absent in the MENA region

---

Lack of awareness about potential AI applications in the private sector

---

International collaboration promising for AI development in the MENA region

---

Need to carefully consider ethical and legal framework

---

Efforts are underway in the MENA region to establish international standards for data sharing

---

Progress in establishing international standards for data sharing is slow but noticeable

---

Governments need to establish a governance structure to ensure everyone's involvement and data sharing

---

Private sector should better understand how AI can help them and the significance of structuring and labeling their data

---

Report

The analysis highlights the crucial role of international collaboration and data sharing in AI research, supporting SDG 9: Industry, Innovation and Infrastructure, and SDG 17: Partnerships for the Goals. Accessible data is essential for AI research, and pooling resources, such as computational resources and talent, proves beneficial.

Cross-cultural understanding is also important for translating research into a global aspect. Ethical considerations, including transparency and gender equality, must be prioritised in AI development, aligning with SDG 5: Gender Equality and SDG 16: Peace, Justice and Strong Institutions. However, ethical challenges, such as data privacy, security, and transparency, pose obstacles to international collaboration.

The lack of a structured protocol for data-sharing between different countries hinders progress in AI development. Harmonising legal frameworks to achieve transparency is a challenge, and data use and deployment must consider various aspects of data. The MENA region lacks a legal framework for data privacy and protection, leading to hesitancy among the private sector in providing data due to uncertainty about the benefits of AI.

Efforts are underway in the region to establish international standards for data sharing and create an AI ethics strategy. Governments need to establish a governance structure to ensure the involvement of all stakeholders. The private sector should better comprehend the potential benefits of AI and the significance of structuring and labelling data to contribute to SDG 9: Industry, Innovation and Infrastructure.

In conclusion, international collaboration and data sharing play a vital role in AI research. Ethical considerations, challenges in data-sharing, and the absence of a legal framework for data privacy and protection need to be addressed. Efforts are being made to establish international standards for data sharing in the MENA region.

Collaborative involvement and data sharing are key to efficient AI use and achieving SDG goals.

Arguments

Public-private data partnerships are essential for achieving SDGs.

---

The data community, tech community, and official statistics need to come together to close data gaps.

---

Report

The analysis highlights the significance of public-private data partnerships in achieving the Sustainable Development Goals (SDGs). The speakers stress that the most successful initiatives are those where partners invest time and effort to establish a proof-of-concept, build trust, and adapt and iterate the value proposition over time.

These partnerships play a crucial role in addressing complex global challenges. However, the analysis also acknowledges that there are significant challenges in initiating, completing, monitoring, and scaling up private-public data initiatives. One major hurdle is the lack of coherence across under development and standard operating procedures.

This lack of consistency hampers the efficiency of public-private partnerships for SDGs, particularly in the Global South. The enabling environment required for these partnerships is lacking, despite initial hype surrounding their potential. Overcoming these obstacles is essential in order to fully leverage the potential of public-private partnerships for sustainable development.

In addition to public-private partnerships, the analysis emphasizes the need for collaboration among the data, tech, and statistical communities. There are still critical data gaps that need to be addressed in order to better understand and tackle important global issues such as climate change, poverty, and inequality.

Closing these data gaps requires the convergence of expertise from the data community, tech community, and official statistics. Through this collaboration, a comprehensive and accurate understanding of these issues can be achieved, leading to more effective strategies and actions. Overall, the analysis underscores the importance of public-private data partnerships and collaboration among different communities to achieve the SDGs.

The success of these initiatives hinges on trust, adaptability, and investment of time and effort. By addressing the challenges and working together, stakeholders can unlock the full potential of data-driven solutions for sustainable development.

Arguments

Latin American and the Caribbean region faces different challenges in the data ecosystem and needs more participation from the private sector

---

Successful examples of public-private data partnerships invest time and effort to build trust, establish proof of concept and adapt value proposition over time

---

The established platform and relationship with multinational organization, government, and big companies allows generating trust for new partners

---

Challenges in terms of gathering new funding due to restrictions by private sector or international donors

---

National partnerships and private sector data are key for social and economic development

---

Private sector should be more flexible and open when working with government entities

---

Private sector should share best practices as they operate differently

---

Public sector should strengthen capacities and develop a data culture

---

Report

The Latin America and Caribbean region faces challenges in the data ecosystem and requires increased participation from the private sector. It is known to be one of the most unequal regions in the world, with limited involvement from the private sector in the data ecosystem.

Successful examples of public-private data partnerships invest time and effort in building trust, establishing proof of concept, and adapting value propositions. These partnerships align their projects with the mandates of development, human rights, and democracy, showcasing the potential for collaboration between the public and private sectors.

Active government and private sector initiatives play a crucial role in providing digital and data skills, capacity building, and employability. Philanthropic support and development projects have seen a noticeable shift, with examples such as a project in Jamaica that aims to train youth in digital skills and data literacy.

This positive sentiment reflects the efforts made to bridge the skills gap in the region. To achieve the Sustainable Development Goals, synergy between the private sector, government entities, and civil society is necessary. Multilateral development banks require more collaboration between these stakeholders, emphasizing the significance of collective action in addressing challenges and achieving sustainable development.

The established platform and relationships with multinational organizations, governments, and big companies generate trust for new partners, demonstrating the potential for future collaborations. However, a challenge lies in gathering new funding, as some private sector entities and international donors do not cover operational costs.

This negative sentiment highlights the need for alternative funding sources or increased support from these entities. Adapting the current model is necessary to continue making an impact on the communities being served. This neutral sentiment acknowledges the need for flexibility and evolution to effectively address the evolving needs of the region.

National partnerships and private sector data are crucial for social and economic development. Successful partnerships between the private sector and national ministries have been observed, using data for social and economic development, such as through hackathons. This positive sentiment underscores the potential of data-driven collaborations for positive change.

National ministries should be involved in discussions about data use from the outset, as their involvement is crucial in defining data sets and the focus of solutions. This sentiment aligns with the goal of inclusive and equitable decision-making processes. The private sector should be flexible and open when working with government entities and should share best practices, considering their different operational approaches.

This positive sentiment recognizes the importance of collaboration, knowledge sharing, and adaptive strategies to achieve common goals. The public sector should strengthen its capacities and develop a data culture. This positive sentiment emphasizes the importance of building the necessary skills and mindset within the public sector to effectively utilize data for decision-making and governance improvement.

In conclusion, the Latin America and Caribbean region faces challenges in the data ecosystem, but opportunities for improvement exist. Increased private sector participation, active government and private sector initiatives, and synergy between stakeholders are essential for achieving sustainable development goals.

Building trust, adapting models, and addressing funding challenges are necessary steps in driving positive change. National partnerships, inclusive decision-making processes, and knowledge sharing are vital for social and economic development. The public sector should focus on capacity building and fostering a data-driven culture.

Through these efforts, the region can overcome its challenges and pave the way for a more prosperous future.