Data of general interest: towards a public partnership with Social Economy

by sogaccelerator | 4 Dec 2023 | Editorial

Data of general interest:

towards a public partnership with Social Economy

8 November 2023 marks the start of NEC ESS Europe, the meeting of the digital Social Economy in France and Europe, organised by SOGA. Its objective? To promote and accelerate digital Social Economy. This event is part of ANCT’s Numérique en commun[s] initiative and is co-funded by Crédit Coopératif. With over 200 participants and more than 80 speakers, the NEC ESS Europe was the catalyst for some fascinating discussions. Here is a report on the discussions at the conference “Data of general interest: towards a public-private partnership with the Social Economy”, which took place in Paris.

people pointing to a computer to collaborate on a joint project

The conference brought together leading figures such as Jacques François Marchandise (Exploranum), Emmanuel Porte (INJEP), Vincent Bachelet (Inno3), Rémy Gerbet (Wikimedia France) and the Deputy Mireille Clapot (CNSP). Together they explored the challenges and opportunities of using data in the digital social and solidarity economy (SE), an increasingly important topic in the digital age.

Advocating for Inclusive Digital Transition

Jacques François Marchandise initiated the discussions with an insightful focus on inclusive digital transition. He emphasized the necessity of dismantling barriers between professional realms. Jacques François Marchandise illustrated his point with the transformative role of digital mediation in various sectors. This, he argued, is key for the successful integration of digital technology across societal spheres.

Data Culture in Associations

Emmanuel Porte took the stage to delve into the subject of data culture within associations. Emmanuel Porte challenged the view of data as a constraint, especially under the RGPD, positioning it instead as a tool for territorial cooperation. Emmanuel Porte highlighted the importance of data perception and utilization in professional training and capacity building within associations. Emmanuel Porte referred to Cahiers de l’action (n°60) “Les associations au défi des données numériques”.

Exploring Data Use in Digital Commons

Vincent Bachelet then shifted the discussion towards the utilization of data in digital commons. Vincent Bachelet questioned various methods for the effective use of collective data, while upholding the principles of digital commons. Vincent Bachelet’s insights opened new perspectives on ethical and collaborative data valorization.

Collaboration in Data Dissemination

Rémy Gerbet emphasized the critical role of collaboration in the dissemination of data of general interest. Rémy Gerbet presented the collaboration between the OMS and the Wikimedia movement during the COVID-19 pandemic as an exemplary case. This collaboration demonstrated how the rapid sharing of validated information can achieve a significant global impact.

Legal Frameworks for Digital Commons

Mireille Clapot, a Member of the European Parliament, concluded the series of talks. Mireille Clapot stressed the need for suitable legal frameworks for digital commons of general interest. Mireille Clapot advocated for a clear legal definition of digital commons and the adaptation of legal and fiscal frameworks. She referenced the CNSP’s Opinion on the Digital Commons, led by Jeanne Bretécher, which offers insights into the challenges and solutions for the development of digital commons.

Conclusion

This conference brilliantly highlighted the complexity and importance of data management in the digital social economy. You can watch the replay on the Social Good Accelerator YouTube channel.

If you are interested in these issues, join SOGA to support us and develop a strong European digital Social Economy.

About the author

Justine Coopman

Communication and Public Affairs Manager

justine(at)socialgoodaccelerator.eu

Économie sociale numérique : une opportunité pour la citoyenneté et la démocratie

by sogaccelerator | 19 Nov 2023 | Editorial

Économie sociale numérique : une opportunité pour la citoyenneté et la démocratie européennes

Le 17 novembre 2023 marquait la clôture de NEC ESS Europe. Cet événement, organisé par le Social Good Accelerator (SOGA), s’inscrivait dans le cadre de l’initiative Numérique en commun[s] de l’ANCT. Il a été cofinancé par le Crédit Coopératif.

L’objectif était clair : accélérer la transition numérique de l’économie sociale et solidaire. Pendant deux jours, plus de 200 participants et 80 intervenants se sont réunis. Ainsi, NEC ESS Europe est devenu un catalyseur de débats riches et constructifs.

Avec plus de 200 participants et 80 intervenants, NEC ESS Europe a été un catalyseur de discussions passionnantes. Parmi les temps forts, la conférence organisée au Comité économique et social européen (CESE), intitulée :
« Construire une Europe numérique pour le bien commun : l’économie sociale numérique, une opportunité pour la citoyenneté et la démocratie ».

L’économie sociale numérique, moteur de démocratie

La première session a mis en lumière le rôle de la Social Tech comme levier démocratique. Elle a notamment insisté sur la Civic Tech et les données citoyennes.

Gabriela Martin (SOGA) a souligné la nécessité de créer des espaces numériques ouverts et inclusifs.
Julia Herriot (ANCT) a présenté la démarche Numérique en commun[s] et le programme Société numérique. Elle a rappelé les enjeux liés aux financements et aux données d’intérêt général.
Jeanne Bretécher (SOGA) a défendu la numérisation de l’ESS. Selon elle, elle peut soutenir la démocratie et renforcer les services sociaux.
Adrien Duguet (ACTE) a alerté sur les risques liés à la transparence et à la protection des données. Il a insisté : sans confiance, aucune participation démocratique durable n’est possible.
Hendrik Nahr (Make.org) a illustré l’impact de la Civic Tech. Il a cité la campagne EurHOPE, qui mobilise les jeunes Européens avant les élections de 2024.

Enfin, Giuseppe Guerini (CECOP – CESE) a plaidé pour une régulation européenne du numérique. Selon lui, elle doit protéger les citoyens tout en encourageant l’innovation.

Services numériques d’intérêt général et coopération

La seconde session a exploré les services numériques d’intérêt général et les partenariats public-privé. Ces derniers apparaissent comme des leviers essentiels pour la cohésion sociale et territoriale européenne.

Jeanne Bretécher (SOGA) a ouvert la discussion. Elle a rappelé que le “superpouvoir” de l’ESS reste la coopération.
Sara de Heusch (SEE) a insisté sur le rôle unique des coopératives, mutuelles, associations et fondations. Elles peuvent construire un numérique respectueux de la vie privée, durable et démocratique.
Patrick Klein (Commission européenne) a rappelé que la co-création est indispensable. Selon lui, elle conditionne le succès de la transition numérique européenne.
Denis Stokkink (Pour La Solidarité) a présenté le projet Social Tech Academy. Ce programme, porté par SOGA, Egina et Fundación Esplai, vise à développer les compétences numériques dans l’ESS.
Maxime Baduel (délégué interministériel à l’ESS) a insisté sur le rôle de l’État. Il a rappelé que la gestion responsable des données et la montée en compétences sont des priorités.

Ainsi, les intervenants ont confirmé que la transition numérique ne peut réussir qu’en associant les valeurs et les méthodes de l’économie sociale.

Une Europe numérique plus juste et plus démocratique

En conclusion, les intervenants ont affirmé que l’avenir numérique de l’Europe ne peut être uniquement marchand. Pour être durable, il doit s’appuyer sur les valeurs de l’économie sociale et solidaire : coopération, justice sociale, respect de l’environnement et démocratie participative.

👉 Le replay de la conférence est disponible sur la chaîne YouTube du Social Good Accelerator.
👉 Pour contribuer à ce mouvement et soutenir le développement d’une économie sociale numérique européenne, rejoignez la communauté SOGA.

Boost Social Economy with digital: Recommendations from the European Commission

by sogaccelerator | 14 Jun 2023 | Communs & plaidoyer, Editorial, Projets européens

Boost Social Economy with digital:

Recommendations from the European Commission

With the rapid rise of digital technology in our society, it has become imperative to ensure the adaptation of the social economy to this major evolution. Far from prioritizing relentless pursuit of profit, the social economy holds a prominent place by focusing on people and social and environmental issues. To enable this dynamic sector to flourish fully, the European Commission has developed an ambitious action plan for the social economy in December 2021. At the core of this plan, a Council recommendation aims to develop the necessary framework conditions for the thriving of the social economy. In this perspective, our analysis focuses on the recommendation published on June 13, with an emphasis on key digital proposals aimed at promoting the development of the social economy in Europe. So, what are these innovative measures that open up new perspectives for the social economy in the digital era?

Enhancing Digital Skills in the Social Economy

To succeed in digital and green transitions, it is crucial to strengthen digital skills within the social economy. The Commission thus encourages member states to support training and skills development by fostering learning exchanges. This approach aims to improve management, entrepreneurship, and digital skills necessary for navigating successfully in this constantly evolving environment.

For example, our project Social Tech Academy, aims to create the benchmark program for the development, dissemination, and sharing of digital skills tailored to the Social Economy. We designed the Social Tech Academy as an educational and digital literacy program to empower actors in the Social Economy and their beneficiaries, including job seekers and youth, in their digital transition. This community-driven program is open-source, democratic, and practical, aiming to empower actors in the Social Economy and individuals distant from employment in their digital transition and professionalization through social digital professions or Social Tech.

Linking Industrial Policy to Digital Transition

To promote social innovation and sustainable economic development, it is important to consider the objectives of the social economy in industrial policies. This will facilitate the transition toward a circular and digital economy, where economic actors can collaborate to maximize the positive impact of the social economy on society. By integrating these two domains, we can create real momentum toward a more inclusive and sustainable future.

It is also important to consider the benefits of the social economy, such as sustainable job creation, promotion of social entrepreneurship, and reduction of social inequalities. By integrating these benefits into industrial policies and facilitating the transition to a circular and digital economy, we can contribute to creating a fairer and more sustainable future for all.

Lastly, it is important to emphasize that integrating the objectives of the social economy into industrial policies should not be seen as an end in itself, but rather as a crucial step toward a more inclusive and sustainable future. By working together to maximize the positive impact of the social economy on society, we can create a movement toward a more sustainable and just future for all.

Encouraging the Development of Community Initiatives

The European Commission actively encourages the development of community initiatives within the social economy. This can take the form of energy communities, shared mobility solutions, digital cooperative platforms, agricultural cooperatives, and local food supply chains. These initiatives allow citizens to access local products and services, thereby strengthening social and territorial cohesion.

In line with this idea of fostering community and exchange, the Commission has announced the opening of the digital social economy gateway. This is a one-stop website providing social economy organisations with information on EU funding, training opportunities, events and country-specific information.

Strengthening Access to Digital Tools and Emerging Technologies

To thrive in a constantly evolving digital environment, it is imperative to enhance access to digital tools and emerging technologies for entities in the social economy. The use of open source, big data, and artificial intelligence is essential to improve the efficiency, productivity, and social impact of social economy entities. By encouraging this digital transition, we open up new opportunities for the social sector and strengthen its role in society.

For example, the organization TechSoup provides software licenses to nonprofit organizations in several European countries, enabling them to access cutting-edge digital tools to enhance their efficiency and social impact.

Unlocking Market Access and Public Procurement

The European Commission encourages close collaboration between the social economy and traditional businesses, particularly through the use of new technologies to access private markets. This collaboration expands the reach of social initiatives and engages a wider audience, thereby enhancing their social and environmental impact. To facilitate this collaboration, it is important to establish appropriate support mechanisms, such as specialized training and financial incentives.

These measures create new opportunities for growth and employment, encouraging businesses to engage more in socially responsible actions. Furthermore, this cooperation can contribute to better integration of the most vulnerable individuals into the labor market by providing them with training and employment opportunities tailored to their specific needs.

Union support for Digital recommendations: Transition Pathways

At the heart of the implementation of these digital recommendations for the social economy, Transition Pathways plays a central role. This strategic framework provides clear guidance to accelerate the digital transition of the social economy. The transition process is complex and multifaceted, requiring careful consideration and close collaboration with all stakeholders. Transition Pathways was developed in collaboration with the Social Good Accelerator and hundreds of stakeholders to ensure an inclusive and tailored approach.

Transition Pathways is an essential tool for guiding the digital transition of the social economy. It offers an inclusive and collaborative approach to accelerate this transition by identifying key steps and specific measures to ensure an inclusive and sustainable digital future for all.

Impacts of these Recommendations

These proposals will now be discussed by the EU Council – representatives of the member states – with the aim of reaching a political agreement. Once the proposal is adopted, member states will adopt or update their national strategies for the social economy within 18 months.

The Commission will then monitor the implementation of these strategies through regular consultations with member states, through the Employment Committee and the Social Protection Committee. This approach will assess the concrete impacts of these recommendations and adjust policies based on observed needs and outcomes.

About the author

Justine Coopman

Communication, Development et Public Affairs

justine(at)socialgoodaccelerator.eu

AI development in the social economy: technology at the service of social impact?

by sogaccelerator | 26 May 2023 | Communs & plaidoyer, Editorial, Revue de presse

AI development in the social economy: technology at the service of social impact

Artificial intelligence (AI) is booming. With the arrival of ChatGPT, a hundred experts ask in an open letter dated March 28, 2023, to pause the development of artificial intelligence in order to take time to consider its ethical aspects. Our previous article has shown that in technological sectors in tension such as artificial intelligence, the non profit nature of organizations is no longer sufficient to ensure the values defended by the latter. It is partly for these reasons that social economy organizations are generally wary of the development of these new technologies. Yet as we shall see, the development of AI in the social economy could put technology at the service of social impact.

Before looking at their uses, it is relevant to recall what AIs are and how they work. Strictly speaking, an AI is a set of techniques that allow machines to simulate certain characteristics of human intelligence. In the case of Chat GPT, the software bases its operation on a neural system called GPT Generative Pre-Trained Transformer. This is a machine learning model that analyzes and decodes the input text to provide a response to the user based on a large corpus of data. The software generates responses based on statistical patterns and word associations rather than actual understanding of the content. Although it may resemble this in some areas and with some specific training, experts are not unanimous in describing the software currently in circulation as artificial intelligence with reasoning capability.

Through this article, we propose to explore the possibilities and uses in the social economy of these software developed with learning technologies and which tend to approach an artificial intelligence.

Artificial intelligence to improve targeting of donation campaigns

Organizations have already seized this opportunity to develop tools that use artificial intelligence to improve the effectiveness of fundraising campaigns. Among their customers are big names like the NGO Greenpeace which used this kind of service during one of its campaigns to improve its ROI. As the graph below proves, the results are indeed quite convincine.

Source : https://dataro.io/2021/03/09/artificial-intelligence-for-nonprofits/#use

Red is the classic non-targeted canvassing, green is the classic targeting and blue is the targeting done with algorithms. Artificial intelligence improves the efficiency of donation campaigns by identifying donor profiles and directing mailings in the best possible way. It is therefore a gain in efficiency, profitability but also an ecological argument by reducing the number of emails and therefore the carbon impact of a campaign.

Artificial intelligence would therefore allow to reach more efficiently certain contributors. However, there are some reservations about the large-scale deployment of the tool and its real effectiveness. It is difficult to be categorical about the effectiveness of these techniques, as the lack of open source data makes them difficult to use and rather unreliable.

Impact measurement enhanced by artificial intelligence sentiment analysis

The main objective of social economy organizations is to create social value, but this is difficult to quantify because of the complexity of the impacts produced by this sector. It is a complex and costly process, both economically and in terms of human resources, yet it is at the heart of the improvement and innovation of the social economy sector.

Impact analysis allows them to improve their practices and better communicate their impact to their stakeholders. This is an issue that is at the heart of the use and development of artificial intelligence. These tools already enable large-scale analysis of the feelings expressed by stakeholders. Using data collected on social networks for example, this would allow to identify trends on the impact of programs, services or fundraising efforts but also how they are perceived in the population.

The development of artificial intelligence specifically designed to analyze how a sample of the population feels about an action could be a solution to the difficulties faced by social economy actors on this topic.

AI development in the SE: the internal opinion of an expert

We had the chance to talk with a national expert in data science and artificial intelligence working for a large mutual. As a developer of artificial intelligence tools himself, he offered us an inside look at the current state of development of these technologies in the social economy. He clearly saw recent progress in a sector that he still defines as “difficult to move”. For him, the social economy enterprises have difficulty in moving forward in the adoption of data science and artificial intelligence, in particular because of the negative vision that these fields suffer from.

“For a long time the topics of artificial intelligence in the social economy have been under-considered and seen as only for ‘geeks’.”

The social economy also faces obstacles in terms of data collection. In fact, according to our expert, the main difficulties encountered by social economy actors are in the implementation of data collection processes and the delivery of results and predictions. In the mutual field, risk management is mainly based on business experience, so it is difficult to change methodologies to implement efficient and automated tools.

Despite these obstacles, artificial intelligence can bring many benefits to the social economy sector. The tools developed by the mutual insurance company for which our expert works help to optimize customer relations by better understanding the reasons for contact, sorting emails and scanned paper documents, and automating routine requests. These tools can also more easily detect fraud and thus improve the company’s efficiency and profitability.

“The results of these investments over the past decade are already palpable, with time savings and significant improvements in customer relations.”

Conclusion

In conclusion, the use of artificial intelligence in the social economy sector is a topic that raises important ethical questions, particularly in terms of data collection and use. However, artificial intelligence can offer opportunities to improve the efficiency and sustainability of fundraising campaigns, as well as to measure the impact of actions undertaken. While the literature in France on this topic is limited, companies and experts are already working on artificial intelligence solutions specifically designed for the social economy sector.

Convinced by this usefulness, Dr. Lobna Karoui, a Forbes board member and lawyer specialized in the ethics of artificial intelligence, gave an overview of the applications of artificial intelligence in the social economy sector. Whether it is to raise funds, improve the efficiency of their actions or better understand the needs of their beneficiaries, she believes that artificial intelligence is an asset for organizations. However, she warns that AI cannot and should not replace the human qualities of actors in the social economy.

The sector is evolving and there is no doubt that it will rise to the societal challenges raised by artificial intelligence. It is important to ensure that these tools are developed in an ethical and responsible manner, in order to preserve the integrity and values of social economy organizations.

About the author

Léon Launay

Community, Communication and Public Affairs Manager

leon(at)socialgoodaccelerator.eu

The evolution of OpenIA with ChatGPT: is non-profit a guarantee of ethics?

by sogaccelerator | 9 Feb 2023 | Communs & plaidoyer, Editorial

Ethics and performance: the case of Chat-GPT development

ChatGPT is not only a technological revolution, it is also a case study in corporate social responsibility. Developed as a counter-model to GAFAM with a non-profit organisation, OpenAI, the company that produces Chat GPT, eventually branched out into a capitalist model. In addition, the Kenyan workers’ case revealed by Time also involves Samasource, a former NGO turned for-profit company. Time’s revelations raise the question of whether non-profit statutes are now being used as launch pads for tech companies motivated by profit rather than by the public interest. A look at this case and the questions it raises.

Although the non-profit sector has been structured around models of democratic governance, transparency and ethics that are beyond those of the average sector, there are situations that can challenge this solidarity ethic. Like any commercial enterprise, non-profit structures can be subject to constraints. Economic difficulties, a drop in turnover, economic redundancies and treasury problems are all threats to non-profit organisations. They are therefore obliged to make ethics and performance coexist in their objectives. Could these pressures supplant the general interest mission of the non-profit sector ?

The evolution of OpenIA: from non-profit to limited profit status

Issue faced by the company OpenAI, mainly known for its tool ChatGPT. The organisation was founded by Elon Musk and Sam Altman in 2015 as a non-profit company. The aim was to develop artificial intelligence for the benefit of all, thus quickly entering into direct competition with GAFAM.

The company’s status changed in 2019: one year after Elon Musk’s departure, the company is switching to a limited profit motive to attract investors. This is an American entrepreneurial status that allows a company to incorporate private funding while limiting dividends to shareholders. Despite this change in status, the company continues to position itself as acting for the common good, the website even states that their mission is: “to develop artificial intelligence for the benefit of all humanity.”

Until the publication of a Time magazine study in early January, the company maintained an image of transparency and ethics faithful to its origins. To resolve the toxicity issues present in previous AIs at ChatGPT, the company used a subcontractor located in Kenya. The revelations of the investigation have undermined OpenAI’s apparent ethics, whether in terms of working conditions, remuneration or the massive exposure to toxic content and language. In the press release produced in response, OpenAI’s managers explain that they had no knowledge of their service provider’s practices.

Strong pressures on a competitive sector

This case reveals the hidden side of the struggle between competitiveness and ethics. In an ultra-competitive sector massively invested by GAFAM, Open-AI found itself confronted with the limits of its moral commitments. The company commissioned by Open-AI is in fact employed by the majority of its competitors, because it offers extremely competitive prices. While the organisation can be criticised for breaking with its initial commitments, it has in fact behaved like any of its competitors. The use of subcontractors to filter out hate data is a method used by OpenAI’s main rivals in the AI race. Companies such as Google, Meta and Microsoft have also signed contracts with the same operator implicated here and for similar tasks. As OpenAI has developed, it has become more and more similar to its competitors, both in terms of the evolution of its status and in its practices of raising funds and using cheap service providers.

In reality, Open-AI is being criticised for the incoherence between its positioning in the media and the reality of the company’s operations. Displaying a particular legal status and moral commitments has made the company a global phenomenon. When the reality behind this success was revealed, many users felt cheated by the company.

However, the case of Open AI should not be generalised to all non-profit organisations and companies or even to the AI sector. The last one represents a real asset for the Social Tech associations which in the near future will probably work with artificial intelligences such as ChatGPT. Writing articles, research aids and integration in search engines, the applications of AI in the web will be multiple and intersectoral. Social Tech will certainly be capable of taking advantage of these opportunities to develop ethical solutions with real impacts.

What is ChatGPT’s view ?

ChatGPT was asked a few questions to find out its analysis of the dilemma its creators faced, between productivity and ethics. And for AI, the conclusion is clear: companies with a commitment to non-profit and ethics have a responsibility to the public and the rest of the non-profit sector. Transparency and accountability of non-profit organisations is an absolute necessity.
Having made no specific commitments in response to the scandal, OpenAI plans to reach $1 billion in revenue by 2024. This goal seems to be moving further and further away from its initial intention, but also from the recommendations of its own product as evidenced by this response provided by the said AI :

About the author

Léon Launay

Community, Communication and Public Affairs Manager

leon(at)socialgoodaccelerator.eu

Digital skills, how to promote them through education?

by sogaccelerator | 4 Oct 2022 | Actualités de SOGA, Editorial

Digital skills, how to promote them through education?

On 16 September 2022, SOGA responded to the European consultation on improving the teaching of digital skills.

The thread of this consultation was the question of what actions are required to promote digital skills from the beginning and at all stages of education and training.

Context

Long before the COVID-19 crisis, the need to develop everyone’s digital skills was clearly demonstrated. Digital skill levels remain low, with the digital divide still marked by gender, socio-economic background and urban/rural areas. The COVID-19 crisis has further increased the demand for these skills. This European consultation aims to define the actions required to promote e-skills from the outset and at all stages of education and training. In order to develop digital skills from the outset and at all stages of education and training, the Social Good Accelerator recommends some actions

A lack of cross-disciplinary and tailored digital training in university courses and a shortage of talent

The first observation on the teaching of digital skills is the shortage and uniformity of talent due to the lack of cross-disciplinary and adapted digital training in university courses.

Particularly in humanities courses, the issues of digital culture and design are insufficiently addressed, even though these courses offer the keys to a better understanding of the design and uses of digital tools and technologies.

Proposed solutions:

Create discovery and immersion programmes in “Start up studios” for students in the humanities, law, art, etc.
Support partnerships between universities / computer science schools and local SMEs
Develop sharing and pooling practices to make the development of digital skills more widely available (pooling of spaces, media, tools)
Promote and participate in peer-to-peer learning consortia on a European scale between technology students and university students
Increase the level of digitalisation of social economy entities by creating an inclusive digital labour market with dedicated training

Accessible, quality and inclusive digital education and training is the first strategic priority of the Digital Education Action Plan 2021-2027. Photo credit: European Commission

Rare and expensive skills that primarily benefit companies that can afford them

For digital operators oriented towards the general interest (digital social economy), the challenge lies in the lack of capacity to raise funds. The challenge is also the war for talent in the digital economy, which needs 20 million new digital professionals by 2030 in Europe.

Moreover, digital services of general interest require certain specificities in terms of design, accessibility, production mode and sharing of data and algorithms, testing and dissemination of productions that are still poorly documented and integrated into initial and continuous training.

Proposed solutions:

Develop partnerships between students and people who are far from digital tools. Indeed, although digital education exists in educational institutions, it is necessary to reach those who have not received this education or who will need additional education in the future. In this respect, digital literacy should be promoted for all citizens to ensure that the digital transition is an inclusive process that leaves no one behind. To this end, the development of partnerships with social economy organisations is essential because of the proximity between these organisations and the vulnerable.

Assess the digital skills gaps of social economy actors.

Design targeted capacity building and training pathways in social economy organisations.

Encourage the replication of actions undertaken in the framework of social economy organisations’ projects by widely disseminating the results of research and analysis concerning the link between the digital transition and the social economy.

Multiply and support training in “no code” tools. These tools make it possible to produce advanced and interactive digital deliverables (websites, web and mobile applications, automations, etc.) in a more accessible way, without having to master computer code. We are currently witnessing a growth in job offers for specialised technical skills in no-code (to create websites and mobile applications in particular). For many purposes, some no-code tools can be more accessible than traditional tools, while opening up more powerful possibilities, and inviting more structured digital thinking (and information and data management).

About the author

Social Good Accelerator team

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