Rainer Kattel and I have written a paper that will be contributed to an edited book sometime next year about policy success stories. We have decided to publish a pre-print version to get the word out early. Our paper titled “Estonia’s digital transformation: Mission mystique and the hiding hand”.
The original blog post about the paper appeared on the Medium blog of @IIPP_UCL:
In 2017, The New Yorker published an article titled ‘Estonia, the digital republic’ and subtitled, ‘Its government is virtual, borderless, blockchained and secure. Has this tiny post-Soviet nation found the way of the future?’. This summarises the buzz around Estonia’s digital government: from the outside, at least, it is seen as a major success and has been lauded in mainstream media such as the Financial Times, New York Times and Forbes. Given this success, it is somewhat surprising that this narrative, and its main drivers, has not been actually properly documented in academic research. In our new working paper, we do exactly that using interviews with all key architects of Estonia’s digital government.
What were the main drivers behind its digital transformation? And perhaps most importantly, what does Estonia’s digital transformation tell us about the future of (digital) governance?
What does success look like?
The Estonian e-government infrastructure and its success rest on two main pillars, both introduced in 2001, which essentially create digital access to state and digital citizens: the data infrastructure x-road and a compulsory national digital ID. X-road is an interoperability platform for existing decentralised databases and a data exchange layer that can be used by public and private sector actors. It is independent of platforms and architectures and provides secure interoperability for data exchanges and identification of trusted actors in digital service delivery. The digital ID makes it possible for citizens to be identified digitally and to use digital signatures. Together, x-road and the digital ID make it possible to digitally sign any contract, access essentially any public service, order prescriptions, file taxes, vote and so forth.
More than 2,300 public and private services use x-road, and the digital signature has been used almost 350 million times by Estonia’s population of 1.3 million. The digital ID penetration is close to 100%; 30% of votes are cast digitally (in both local and national elections); almost all personal income tax declarations and medical prescriptions are done online, and most medical records held by hospital and family doctors are accessible online. The Estonian government claims that its digital infrastructure has led to annual savings of about 2% of GDP and more than 800 years in working time for the public and private sectors.
According to the EU’s Digital Economy and Society Index (DESI), in 2017 Estonia was the leading nation in Europe in digital public services, although in 2018 it dropped to second place. However, in most other e-government rankings Estonia‘s digital success is less evident. In DESI’s overall ranking, Estonia is in ninth position for 2018 and, according to the UN’s 2018 e-government survey, it is ranked only 16th globally. This cognitive dissonance — high praise and leadership position in global news outlets versus relatively middling rankings in overall digital transformation indexes (for more discussion, see Drechsler’s contribution in this new book) — reflects the nature of Estonia’s digital success: Estonia is ranked high for its digital public service infrastructure, which is universally available and mandatory, and an integral backbone of public service delivery. Estonia’s digital success, however, is not about other digital offerings such as digital democracy, citizen engagement or digitally transforming public services such as the welfare state.
The specific nature of Estonia’s digital achievement and at the same time disconnect between technological infrastructure and degree of digital penetration is often overlooked in international coverage. As Estonia’s digital government came to be focused on the x-road, Estonia has effectively created its own legacy system — a move that the initial thinkers wanted to avoid. Indeed, in the early 1990s, the focus was as much on secure digital infrastructure as it was on advancing societal goals through digital means. Yet, in particular throughout the 2000s as Estonia blazed through an economic boom that created increasing inequalities in its wake, the evolution of digital government seems to stalled.
In some ways, Estonia’s digital government has been caught up in its own success: in 2014 Estonian introduced e-residency programme that opens some digital public services (establishing a company, paying taxes) globally. While more than 40,000 e-residents have signed up — most recently, the pope was gifted e-residency — and more than 4,000 companies have been created by e-residents, the programme has also faced domestic criticism as a something of a show-off that enables money laundering. (Similarly to India’s Aadhar, Estonia’s digital infrastructure faced constitutional court challengesthat were related to e-voting; as in India, Estonian court ‘sided’ with digital solutions.)
While many digital services have brought efficiency gains to citizens and businesses in Estonia, citizen satisfaction with crucial services such as healthcare and education has remained low. As an example, according to OECD rankings in 2014, Estonia ranked fifth from bottom in satisfaction with health services (in 2007 it listed the lowest) and second from bottom in education system satisfaction (in 2007 it ranked third lowest). Further, Estonia performs poorly on some critical social indicators. For example, in 2016 it had the highest gender pay gap in Europe and a higher than EU average Gini index. While citizen satisfaction is not the only measure of the quality of public services — and digital infrastructure is only one component in the provision of sophisticated services such as health and education — it is indicative that there is a little-measured improvement in the provision of core public services.
How did the success come about?
Perhaps most surprisingly, Estonia has never had a central office for digital transformation, such as the UK’s Government Digital Service (GDS), even though such a central agency was initially envisioned to manage (among other things) vital public registries. Estonia’s digital transformation has been an extended and on-going process over three decades, starting in the early 1990s, when Estonia regained its independence and continuing to the present day. Much of this process has been ad hoc and informal. For example, many strategic policy documents for digital transformation have followed the rhythms of European (structural) funding periods rather than responding to domestic challenges and planning processes. Similarly, various overlapping and mostly self-managed public-private networks have provided the informal dynamic capacity and capability for change, few of which have been institutionalised or formalised. And above all, the process relied initially on what Albert Hirschman has called the principle of the hiding hand: policymakers push visionary changes without anticipating all the challenges and risks involved upfront, an approach that sometimes results in unexpected learning, creativity and — in this case — success.
The naiveté and enthusiasm of the hiding hand that propelled the initial ‘crazy ideas’ of the early 1990s became ingrained in Estonia’s digital policymaking culture. As Mart Laar, prime minister in 1992–1994, and 1999–2002, and perhaps the key politician in this story, once said: “I was 32, I was young and crazy, so I didn’t know what was possible and what’s not, so I did impossible things.” (As he told us, for him the e-residency programme is simply not crazy enough.) Estonian digital government came to rely heavily on such charisma and hacker mentality.
The hiding hand was propelled by another rather simple phenomenon: envy. The success of Finland and Nokia became one of the guiding political reference points in the 1990s: ‘What is our Nokia?’ asked Lennart Meri, Estonia’s first president after Estonia regained independence in 1991, a question that has remained a popular catchphrase. Importantly, the confluence of Soviet industrialisation with ethnic tensions (mass immigration in post WWII era was related to rapid industrialisation during this period) explains why Estonia, despite being one of the most economically and technologically advanced countries within the Soviet Union, chose not to upgrade the inherited economy and instead sought to do something completely different. As an emerging general-purpose technology, ICT offered an almost perfect solution, particularly given the availability of R&D skills in this sector. ‘The digital’ thus came to express Estonia’s — or more precisely, its elite’s — ambitions and explains why, to this day, the ‘digital elite’, with some rare exceptions, is almost all ethnically Estonian.
There were three further vital contextual factors:
- While the Soviet legacy had left Estonia with an outdated industrial structure and widespread aversion to industrialisation, it also left Estonia with a wealth of R&D talent in ICT through various Academy of Sciences institutes, such as the Institute of Cybernetics (established in 1960, its spin-off Cybernetica AS developed x-road and e-ID) and other similarly highly advanced academic institutions. As their funding collapsed in the early 1990s, much talent poured into emerging private companies, in particular, various joint ventures with Scandinavian telecoms and other companies.
- Estonia has geographical proximity to Scandinavia, and in the 1990s the Nordic countries had one of the fastest developing telecommunications sectors globally. Opening up both policy-making processes (through advice and joint ventures) and markets (through privatisation and regulations) to Scandinavian partners brought know-how and investment.
- Estonia is a small country with a high population concentration in its capital city: almost one-third of its 1.3 million inhabitants live in Tallinn. This clustering of population facilitated agile networks that were able to gain quick and lasting political support, and which required low initial infrastructure investment.
Within this ideational and historical context, three critical features of Estonia’s digital transformation, still dominant today, emerged:
- future-oriented and almost utopian solutions — the realm of ‘crazy ideas’;
- public digital architecture that is universal in nature; and
- decentralised digital agendas (including databases) of line ministries and agencies.
Silicon Valley of digital government?
Estonia’s focus on ICT as general-purpose technology has proved to be one of the critical success factors as it enabled Estonia to create a digital infrastructure that is universal in nature. Yet by relying on decentralised and mostly informal networks to build this infrastructure, Estonia now faces a challenge to develop capacities and capabilities within the public sector to take advantage of the public digital infrastructure.
Thus, perhaps the most significant question faced by Estonian digital government is whether the main reasons for its success — particularly its charismatic leadership-based informal networks and civic hacker culture — provide enough capacity to harness the potential of Estonia’s digital infrastructure for more inclusive public services and society.
While the decentralised digital agendas of line ministries have provided needed agility, they have also created uneven digital capabilities across different departments and agencies. This reliance on bottom-up departmental initiatives seems to necessitate stronger and perhaps more formalised coordination structures than are currently present.
Furthermore, while e-voting is increasingly popular, other aspects of digital democracy, such as civic engagement, have remained weak (with the notable exception of the so-called Citizen Assembly of 2012–2014, which, however, failed to deliver any significant results).
Estonia’s digital success brings forth at least three lessons for the future of (digital) state:
- Economic efficiency gains are not enough as value frameworks for digital transformation. Digital agendas should be more comprehensive in focus and combine social justice and other pressing socio-political issues with economic efficiency.
- While digital infrastructure — from data registries to identification and payment systems — are sine qua non for digital governments, so are institutional innovations that would create, as John K Galbraith put it, “countervailing powers” to existing powers and routines within the bureaucracy and but also in the broader political landscape. Such examples would be public ownership option of private data.
- Public sector organisations need new forms of capabilities that centre on socially conscious design and software skills in order to harness the power digital technologies for greater common good.
Estonia is indeed in many ways Silicon Valley of digital government, in the good and in the bad. Its success is based highly decentralised and agile actors that are goal-focused but also with little regard to social outcomes.
Read the latest working paper from IIPP: Estonia’s digital transformation: Mission mystique and the hiding hand
Most of these platforms are designed for the reuse by professionals, such as journalists or researchers. Beyond visits to an open data portal it is however difficult to trace how data is actually used and if it pays out for public administrations to invest in open data efforts.
Similar to innovation, open data is assumed to be positive: it must lead to increased transparency and accountability – simply because of its existence.
In this paper, we used qualitative interviews with 15 U.S. cities that have created an open data portal and have an explicit open data strategy. We interviewed public managers responsible for open data in order to understand their perceptions of the outcomes of their open data activities.
As a result, we were able to trace both product innovations (apps, websites, etc.) and process innovations that are mostly internal to government.
The article is available online in open access format here.
Mergel, I., Kleibrink, A., & Sörvik, J. (2018). Open data outcomes: US cities between product and process innovation. Government Information Quarterly.
Photo credit: Rüdiger Czieschla @Czieschla
Designing public services has become an important issue in the public sector: In countries like Germany, the number of interactions with public administrations seems to be insignificantly low: only about 1,7 or 2,7 times per year, citizens have the need to interact with their local governments. As a result, there doesn’t seem to be a lot of calls for change in the way that services are delivered. Citizens even claim that they trust a paper proof more than an online interaction with government. After all, they have the proof in their hands that they have submitted their files, claims, or paid their dues.
As soon as we start to talk to citizens however, it becomes clear that they are experiencing an extreme media break between their private interactions online, such as online shopping, social networking, etc., and their professional interactions with public administration. There doesn’t seem to be a reason, why they are downloading a form from a government website, print it out at home, fill it in by hand, walk it to a government office, and then watch a frontline worker type in the form electronically.
We also know that computer programs have far advanced in recent years that they are much better in recognizing faces in comparison to human beings, and that files are indeed electronically safer than the one paper copy that is stored in a binder in a physical government office.
This is where one of my latest seminars has started: How can we design public services that citizens actually want to use and trust?
I have designed the seminar using human-centered design approaches and teamed up with four cities in southern Germany who were working on standardizing 40 of their public services. We chose the top four processes for the class. The cities of Konstanz, Ulm, Freiburg, and Friedrichshafen collaborated with my students and I worked on supporting the students’ trips with funding from the University of Konstanz’ Transfer project.
The students learned how to conduct user interviews. During this period, I teamed up with Martin Jordan, Head of Service Design, at the UK Cabinet Office’s Government Digital Service Team.
The students learned that users are internal users (public servants who supply the service) and external users (citizens or companies).
In a first step, they interviewed product owners to gain insights on how the process was designed, what happens with the data. They derived process characteristics and a flowchart of the data flow.
Next, they went out to interview users (citizens in each city) and derived a user journey. They found stories that go far beyond the mere application process and tried to get holistic insights about the process as well as exchanges and dependencies with other departments.
Here is a fun post by one of the teams, available on Twitter:
One team had the opportunity to visit one of the first city-level innovation labs in Ulm (Thank you to Stefan Kaufmann for his kindness):
And finally the kicker: The students came up with prototypes for each process.
The student teams, triangulated the different types of data they collected and synthesized their findings into a new version of the process. Some of them designed a prototype with scissors and paper, others built mocks-up using Powerpoint, and one team actually created a website.
Did I mention that they are Bachelor students in public administration? They are not programmers, but they came up with insights that every IT service provider can now use to implement the revised process.
Finally, we presented the findings to the four city partners and any interested stakeholders, including participants from the state-level Ministry of Interior and their IT service providers, local IT consultancies, and most importantly public servants from the city of Konstanz:
What was the impact of this seminar?
- Proud students, who now know that they are well-equipped for their BA thesis (no small feat).
- Seemingly happy cooperation partners: Two of the processes were already selected to be implemented including the suggestions of the students. I call this a major success: there is usually no transfer or immediate implementation of student projects.
- Given the direct implementation of the students’ suggestions: They are making an impact on all citizens in this state.
If I were to do this again, I would improve the following issues:
- Smaller groups, or more intensive training in team building and conflict management skills. Help the students understand how they can become teams – fast – and how they can make decisions as a team.
- Find external funding – don’t bother with internal funding and all that it entails (settlement of accounts, etc.). Lobby hard enough so that cities understand the value of providing funds for travel costs – or: stay local.
Overall, it was very much worth it!
We have two 50% positions available in my research group on digital transformation. The work is related to our EU Co-VAL grant. The work area is on digital transformation and living/innovation labs.
The full job ad can be found here.
Scientific staff – No. 2018/120
Since 2007, the University of Constance has been successful in the Excellence Initiative of the German federal and state governments.
From 01.08.2018 (earliest possible start date), the Department of Political and Administrative Science at the University of Konstanz will offer two half-day positions as
Academic employee (salary group 13 TV-L)
for a period of 2 years.
Research collaboration in the EU Horizon 2020 project “Co-VAL: Understanding Value Co-Creation in Public Services for Transforming European Public Administrations” in the research area of the chair “Public Administration”, collaboration in the working package “Digital transformation of public administrations” and “Living Labs” with the following subtasks: Policy and process tracing, international comparative public management case research and ethnography of a selected case.
The prerequisite is an academic degree with an excellent master’s degree or doctorate in public management or information sciences, ideally with an administrative background and the willingness and willingness to work independently at the Constance site.
The university strives to eliminate disadvantages that exist for female academics in the field of higher education. It aims to increase the proportion of women in research and teaching.
The University of Constance is particularly committed to reconciling family and working life.
People with a severe disability are given priority if they are suitable (telephone number of the representative for the severely disabled: +49 7531 / 88 – 4016).
The University of Constance supports dual career couples. You can obtain information at: http://www.uni-konstanz.de/dcc .
Please send your application with the usual documents to Prof. Dr. Mergel, Department of Political and Administrative Science, University of Konstanz, 78457 Konstanz (firstname.lastname@example.org) by October 31, 2018, stating the reference number 2018/120.
Application deadline: 31.10.2018
Translated with http://www.DeepL.com/Translator
Please don’t hesitate to ask me anything about the positions!
Together with Yiwei Gong and John Bertot, I edited a special issue for Government Information Quarterly on agile government. For our introduction, we conducted a systematic literature review of articles published on the subject during the last decades and provided guidance for future research.
Governments need to adapt to changes in their internal and external environments and create systems that allow them to scan trends, identify developments, predict their potential impact on the organization, and quickly learn how to implement changes to their standard operating procedures. As a response, government organizations are adopting agile approaches as part of their process redesigns, project management, and software development approaches. Although agility and adaptiveness are long in use in the private sector, they have been increasingly adopted in the public sector literature and practices. In order to understand the existing theoretical and practical foundations of the field, we have conducted a systematic literature review and identified four streams of research areas:
(1) software development approaches,
(2) project management approaches,
(3) application areas, and
(4) potential outcomes.
In this article, we synthesize this literature, provide an outlook on future research questions, and introduce several articles as part of the current special issue focused on agile government.
We included four articles in the special issue that focus on different themes of agile governments:
- Hong and Lee’s (2018) article provides evidence of how regulation and decentralization impacts adaptive governance. The authors argue that decentralization of governance can hinder the process of adaptation in the sharing economy, especially if the considered policy embodies entrepreneurial politics.
- Wang, Medaglia, and Zheng’s (2018) article investigates adaptive governance in the context of digital government where new forms of collaborative governance are needed to rapidly adapt to changes in the internal and external environments.
- Soe and Drechsler (2018) discuss how local governments collaborate for joint service provision, be more adaptive toward new technological and organizational changes, and introduce innovative services following industry trends such as predictive analytics, autonomous vehicles, and artificial intelligence.
- Chatfield and Reddick (2018) show how a U.S. city government’s use of big data analytics enhances customer agility in 311 on-demand services.
Reference: Mergel, I., Gong, Y., Bertot, J. (2018): Agile government: Systematic literature review and future research, in: Government Information Quarterly, 35(2):291-298.
In March 2018 I participated in a conversation on “(K)ein Traum von der digitalen Demokratie: Big Data als Chance oder Risiko?” as part of the Grenzgänger Wissenschaft talk series together with Professor Neuschwander of the HTWG Konstanz . We have talked about a number of questions and here are the answers I prepared:
What kind of data is there?
We currently distinguish four types of data:
- Administratively collected data: Surveys, or transactions in which we are open-eyed. Very detailed data that are requested and deliberately filled in. Highly structured.
- Open data: This means that some of this data is published, for example, by the public administration on open data platforms in aggregated and machine-readable format. Sometimes already helpful evaluated or visualized (unemployment figures)
- Data generated by users or citizens: Outside a formal transaction, on social media channels, other Internet transactions (shopping on Amazon), but also crowdsourcing actions, weblogs, clickstreams, search data. Can be private or public.
- Automatically generated data from human and physical sensors: measuring probes on buildings, buses, police body cameras, collected automatically without human intervention or consent. Advantage: very comprehensive data collection (all potholes through which a bus passes, complete data sets). Tracking of geographical locations, e.g. when you open your weather app.
Taken together, these are each in themselves “huge data sets” – some of a private / non-public nature, some of them public. All in all, this is unstructured Internet-generated data that is linked to structured data sets and can also contain geo-tags.
Where do we encounter Big Data in everyday life?
- Internet resources: Social media interactions, mobile phone apps, videos, photos that are shared, online search behavior, Google Nest in homes, etc.
- Structured data: Online shopping, mobile phone networks (who phones with whom), email exchanges
- Geo data: Automatic login to mobile phone poles, satellites
What do you think are the 3 biggest risks and what are the 3 biggest opportunities?
- Previously unimagined insights into the behaviour and preferences of citizens
- Quick data availability and decisions in real time (nowcasting)
- The potential of democratisation: Who will be heard?
- Distribution of Fake News
- Transparent Citizen: We do not know which algorithms are used or how they affect citizens.
- Political and economic decisions are influenced. Google Flu Trends
Where does the data actually come from? Do we make them ourselves?
Each of us is involved in the creation of Big Data every second. This happens through each of our online interactions (be it Google search, Amazon shopping, social media channel interactions, smart home, smart metering, fitness wristbands, smart phones and automatic log-in to phone poles, calls we receive, emails we send, streaming services such as Netflix or Amazon Video. Thus we leave behind so-called digital traces. Mostly passive and inactive, even without our knowledge and even if we do not actively use our devices. Do not participate to share our data. Even if you are not actively involved in a social media network, the exclusion says something.
What skills do citizens need in relation to Big Data?
There are two ways to protect yourself: First through personal actions and then also through systemic changes.
I. Rethink personal behavior:
a) Do not share everything immediately with the full power of emotions on social media! According to the latest, largest MIT study, it is clear that fake news is distributed faster and further than truths and the damage is already done. So first think about whether you want to be part of this machinery, like Pizza Gate during Hillary Clinton’s US presidential campaign.
b) Maybe read an article or the text format instead of a YouTube video or an exciting TV news show, so that you don’t let yourself be influenced by the pictures. Creating an emotional distance to the news.
c) But consider whether this can be true at all
d) Interpretation of who shares what and how and what their motives can be
e) Use offline networks such as clubs and village communities more than networking in the artificial online world.
II. Systemic changes necessary:
- Information and data literacy: articulate information needs, localise and retrieve digital data, information and content. Assessing the relevance of the source and its content. For storing, managing and organizing digital data, information and content.
- Communication and collaboration: interaction, communication and collaboration through digital technologies, taking into account cultural and generational diversity. Participation in society through public and private digital services and participatory citizenship. To manage his digital identity and reputation.
- Creation of digital content: Create and edit digital content Improve and integrate information and content into existing knowledge and understanding of the application of copyrights and licenses. Knowing how to give clear instructions to a computer system.
- Security: To protect devices, content, personal data and privacy in digital environments. Protect physical and mental health and be aware of digital technologies for social well-being and social inclusion. To be aware of the environmental impact of digital technologies and their use.
- Problem solving: Identify needs and problems and solve conceptual problems and problem situations in digital environments. Use of digital tools to innovate processes and products. To keep up with the digital evolution.
From the state’s point of view, too, the digitisation and use of big data in public administrations is important. What are examples of this?
Use of Big Data in public administration
- The first Big Data study in public administration was a combination of scientific data with Big Data from social media data (Twitter): The U.S. Geological Service was the first public administration to not only use scientific data on the magnitude of earthquakes, but also combine it with social media data to find out the impact of earthquakes on the affected citizens. By using these so-called humane sensors, it is possible to determine more quickly which decisions have to be made in the event of a natural disaster.
- To protect against terrorists: analyze large amounts of data, check for anomalies, investigate forensic evidence and help avoid terrorist attacks. This can be done with sensors on physical buildings and then synchronize the data in real time with other databases, analyze telephone traffic, bank connections, online shopping, etc..
- Use of VAT payments on online platforms are already actively analysed by tax offices in all OECD countries. All participants in economic transactions are provided with risk indicators, so that the tax office knows which transactions are risky (because they fall out of line) or which transactions are normal for a certain buyer/seller. Theoretically these analyses happen overnight and in the afternoon the tax investigator is already standing on the mat and tries to collect the allegedly evaded money.
- Use Big Data to predict the financial health of individual companies, cities or regions. In combination with various data sets, the public administration can diagnose whether a company can survive in the market and is on the verge of bankruptcy. This is important information for the public administration, as it affects jobs. This leads to increased social expenditure, such as unemployment benefit, or even the brain drain from a region, because the unemployed have to move to where jobs are available. It is therefore in the public administration’s own interest to use all available data sets to determine what is in store for them in the future.
- Government and jurisdiction should, however, be involved in the regulation of large social media companies, search engines and sales platforms:
- o hold companies accountable for allowing so-called fake news to be distributed. For example, Twitter and Facebook have only now, under pressure from hearings, looked for how Russia has placed purchased advertising in the news feeds. This means that both companies clearly benefited from this propaganda, but did nothing about it. Researchers find this propaganda very simple – so I wonder why the social media companies pretend that they have to search for it for a long time and
- “Weaponizing the Web”: YouTube as a place of radicalisation for young people and supporters of terrorist groups
- Establish ethical principles for the use of online media that social media companies must also adhere to. NetzDG (Network Enforcement Law) = Law to prevent hate speech and hate speech on the Internet. Decisions should not be made in Silicon Valley, however, but in our linguistic area, in which we understand the nuances of language (irony, sarcasm) and also the context and thus do not block wrongly criticised content.
What do you think would happen if you completely ban the collection of data?
Data collection, e.g. of Facebook data, is already prohibited in the EU, but it has become clear that the EU is not taking action and is really checking whether the data collection (the associated sale) is not actually taking place. One reason for this is that the servers are located in the USA.
From my point of view, the users are particularly in demand:
- Everyone should think about what they share on social media (parents who present their children publicly to get a few uhs and ahs)
- Do you only want to use social media personally, for example, or professionally? Add colleagues, then?
- Great discipline what you say online.
- We have become aware of some risks and threats to democracies in the context of Big Data. In the beginning, however, you also had three chances each named by Big Data for democracy. We know you look at the subject neutrally from a scientific perspective BUT what would you say if you had to make a flaming plea for Big Data?
Democratization effects of Big Data:
- There was a time when we all thought that Big Data had a democratizing effect. Everyone has pointed out that the Arab Spring would not have been possible if the demonstrators in Egypt had not gathered online worldwide to meet physically in Tahier Square. These are undreamt-of possibilities that Big Data offers: Information is distributed to many people and the power these demonstrations have can actually change the course of a government. Whether the results are always what you hoped for from a movement is another question. There are many examples, such as #BlackLivesMatter hashtag, NRA student protests in the US against the government and against the National Rifle Association -> no great improvement for the affected groups.
- On the other hand, hashtags like the #metoo campaign skipped the channel and led to accusations, job losses, publicity that could possibly lead to a change in behavior. In any case to an empowerment (strengthening) of the position of women,
The promise to gain unexpected insights into the actual behaviour and preferences of groups of people or even whole nations:
- Be it political voting behavior,
- Purchasing preferences,
- Effects of natural disasters on entire regions,
- But also reactions of citizens to changed laws and the effects on certain population groups that were not previously on the radar
Additional material is available here:
- Article “Big Data in Public Affairs” in Public Administration Review [free pdf file]
- Article “Big Data in Public Affairs Education” in Journal of Public Affairs Education (JPAE) [free pdf file]
- European Group of Public Administration keynote speech 2017: Big Data in Public Affairs (full Powerpoint presentation available on ResearchGate)