EVE is a private court. For more information, please look at www.eve.law. A good court system is essential for the proper functioning of an economy. Our mission is to provide access to a court to everyone. Money and size are a prerequisite for access to traditional government jurisdiction. The traditional system is therefore not accessible to everyone 

Eve wiped that system off the table and developed a new system. A system that 

 offers access to everyone. Eve provides fast, affordable, simple, and good jurisdiction. This may sound revolutionary, but it really is not. It is jurisdiction as it always should have been. For several reasons, we initially focus on small and medium-sized enterprises (“

”). Eve faces several problems that we challenge you to solve.

1. A free or inexpensive tool that allows every person to determine his or her legal position.

We notice that a lot of entrepreneurs in a legal dispute are looking for free or affordable legal advice on their position. You do not need a lawyer at Eve. But people hardly dare to go to Eve’s court without advice on their legal position. The current public resources available are clearly inadequate.

Design a tool that allows every citizen to determine his or her legal position in a conflict. In any case, the tool must be free or cheap and simple. The tool should not depend on or be influenced by commercial elements.

The first thing we think of is a 'Juri wiki'. Naturally, any other form that you find better is welcome.

2. How can we convince SME’s to choose the faster and cheaper solution of EVE?

On the basis of ratio, the smaller entrepreneurs should opt for Eve or other available options for dispute resolution. Yet that does not happen. Similar initiatives have stranded. These initiatives did not introduce a completely new system, but they would be cheaper at least.

The challenge under no. 1 may have to do with this, but this does not seem to be everything.

Why don't people choose the better option when it's available? How can we convince them to do so? Is there a technical solution to this?

3.How does EVE reach SME’s who are in conflict?

The SME market is a large market. EVE should focus its messages on SME’s who are starting to develop a conflict or just started one. How do we know which SMEs are having a conflict?

Money and size are a prerequisite for access to traditional government jurisdiction. The traditional system is therefore not accessible to everyone by design. Eve wiped that system off the table and developed a new system. A system that by design offers access to everyone.

The DiCRA platform developed by UNDP India in collaboration with multiple partners including Government of Telangana is envisioned as a Digital Public Good that will strategically feed into data-driven decision-making. The digital platform will curate, integrate and visualize such critical datasets and assets to answer the basic question of - What is growing where? How much is there and the spatial and temporal changes within the state across various indicators relevant to Agriculture and Food Systems? The platform should be able to visualize over time the changes that have happened to the agriculture ecosystem in terms of crop diversity, changes in soil/groundwater, tree cover, and other indicators at a higher resolution to support policy decisions. Such a synthesis of data and analytics can help identify farms that are doing exceptionally well (Positive Deviance) through which repositories of good practices and indigenous knowledge can be documented. This also helps in identifying farms that are not doing good as per the defined indicators (Negative Deviance), where interventions are needed.

Can non-traditional data sources help in identifying farmers in India (particularly in the state of Telangana) who are more vulnerable to climate change?

Can non-traditional data sources help in identifying farmers in India (particularly in the state of Telangana) who are practicing climate-resilient techniques and the impact of this on their farms and the environment?

Use openly available satellite imagery datasets to create datasets of interest to DiCRA platforms such as

Crop burning estimates, and its impact on greenhouse gas emissions

Identifying greenhouses, market yards, and other key infrastructure from satellite imagery

Use datasets already onboarded in the DiCRA platform to show positive and negative deviance in Telangana

Data In Climate Resilient Agriculture

Greenhouse growers and growers in general are torn between their established working systems and the dynamic changes in the field, influenced by a flow of constant new information and hard to predict economical and environmental factors.

It can happen sometimes that a greenhouse releases volume and content to the general water space surrounding it, which causes pollution and long term effects on the local biodiversity. Many growers, who are eager to battle pollution and who are well in control of their systems, want to be able to show their good practices to policy makers and peers, as well as use that for better societal and market perception. Unfortunately, currently these conscious growers have no way of proving their good ways of working. Therefore, their reputation can suffer from accidental releases or poorer managed systems in their area. There should be a way to reward and encourage better ways of greenhouse management while at the same time supporting growers who need additional expertise on how to identify and improve a fault in their system.

The majority of growers have good intentions but accidents can happen and they can bring devastating consequences to both the grower and the ecosystem.

On the other hand, policy makers and organizations have also a struggle of identifying and responding timely to the changes in levels of nutrients and particles in the water. This makes it difficult to introduce adequate control measures and signal out accidents or illegal activity. In turn, such events will affect all growers in the area due to the lack of valid understanding where the problem originated from.

Respectively, the many growers feel overwhelmed by newly introduced regulations and modern technologies. Sometimes they are unsure how to properly use certain chemicals or how to update their water management in a sustainable manner.

Growers are very much influenced by climate changes and are in need of a robust system which can help them better manage and avoid water shortages or overflows. Introducing a closed water and nutrients cycle could potentially create a more secure and emission-free produce.

It is important to acknowledge that the growers’ community is very dependent economically on long term production efficiency which makes them more hesitant to take big entrepreneurial risks. The slower adaptation of the field is also justified by the huge consequences in both financial and ecological penalties. Some growers are having difficulties finding accessible information to help them understand the need to keep innovating. They often trust and rely on knowledge from personal experience which hinders them in catching up with the latest trends, research and circular economy ideas. Currently the majority of policy updates and data are presented out of reach for the target group, in a very complex academic manner.

Greenport wants to assist in making updated information and new regulations available in a language understandable to all and communicated in practical formats which can be exchanged between big or small, innovative or more conservative producers. The way to go forward is to encourage and facilitate the growers to learn from each other and to seek support in better understanding their greenhouse water management. The growers, working together with control and organizational representatives, can establish and maintain a sustainable local water management system that accounts for biodiversity preservation.

How can we encourage (greenhouse) growers to get insights and be involved in the relation between their production and their local environment's biodiversity by making local data easy to access and understand at all times and especially when they are having to adapt to modern requirements and possibilities instead of only relying on their own personal data and knowledge?

How can the (projected) results of a better managed water influence be represented in a practical way to help a grower in his finance and marketing activities?

How can we entice the growers into caring more about biodiversity?

How can we generate a detailed visual which will map out and identify the status of all water spaces in a greenhouse area instead of placing expensive measuring points?

How can we help growers to better understand the technologies working for their greenhouses by showing positive end results (ex: increase in what they were able to sell)?

This challenge involves making the influence of greenhouses’ water management on local biodiversity visible for growers, citizens, policy makers, nature organizations, banks and insurance companies, journalists and media, researchers and universities.

General hackathon the hague post - long.jpg

Scalable to use with other datasets in the future

Allowing the sharing knowledge from more experienced growers and from local data to peers who are seeking more trustworthy estimations of potential results from innovation and circular economy practices

Providing insights in evaluating or projecting scenarios of impact/risk taking of new nutrients and chemical use or of new tech adoption consequences

Doesn’t need to provide direct advice to growers (see reference example: 

Solution format is open for interpretation as long as it provides a way to communicate with the growers (map, dashboard, application, database, etc.)

Solution must be simple and straightforward for the target group

Simply requesting lists of pesticides or other information is not sufficient

Goals of the solution are for growers to use it for their benefit in promotion and loan or subsidy requests, to use it for applying the allowed and the correct amounts of pesticides, to justify their produce value and get a fair price from the markets, to learn and work together with others in order not to suffer from accidents or neighbouring poorer practices, to prevent getting unforeseen produced damage from water overflow/shortage, to control emissions control and impact on long term local ecosystem, to catching up with trends in an affordable and comfortable way.

’ is the overarching business comparison of the Dutch water boards.


Water & Circular Greenhouse Economy

How can we encourage (greenhouse) growers to get insights and be involved in the relation between their production and their local environment's...

The technology that is used to create Deep Fakes and Synthetic Media is the same. However, the problem is that 

Although sophisticated DeepFake detection 

 , there is no free, easy-to-use tool that is widely used and looks at video, audio and text simultaneously.

If we share, comment or engage with DeepFake content unknowingly across different social media platforms, we feed the algorithm and contribute to spreading harm.

Therefore , we believe it should be easy and effortless for everyone to verify authentic digital content in our daily lives.

If we succeed in developing an innovative way to confront DeepFakes online we could help everyone navigate digital content with more competence.

How can we help tech-aware people to distinguish real from fake online content by empowering them with effortless independent tools to spot deepfakes (image, video, audio, text) which pollute or cause harm in their information consumption and especially when there is uncertainty such as Covid-19, political elections, war, economic recession, etc. instead of being manipulated by or unintentionally perpetuating misinformation?

How can we design a system of rewards and incentives for sharing accurate information online?

How can we inspire tech-savvy people to use the deep fake alert tool frequently?

How can we create a data visualization function for user feedback and reflection?

The solution should be easy to employ, and not include unnecessary extra steps in the user experience (e.g. integrated)

The solution should be focused on audio and/or text analysis and if it includes video/photo -which is already being widely addressed- it should bring novelty to the design

The solution should be open-source and GDPR compliant

The solution should be mobile device compatible

The goal of the DeepFake Alert solution is to help people to discern what is fake or real and what is original or manipulated on the Internet. The tool should be open source and easy to use. It will empower individuals who seek to be well informed to navigate with greater digital fluency.

Additionally, it should have a function that allows users to design personalized tracking and monitoring analytics using data visualizations that are easy to share in a community of well informed fellow citizens.

For this challenge in particular, Find Out Why partnered with Microsoft and its director of Technology Operations Ashish Jaiman, who is a thought leader in the role of DeepFakes in disinformation and how 

AI is the solution to the right direction

Deep Fake Image detection using Anchored Pairwise Learning Approach

DeepFake-o-meter: An Open Platform for DeepFake Detection

The world's first detection platform for deep fakes

DeepFake Alert

During a disaster, humanitarian organisations deliver live-saving aid as quickly as possible to those in need. While getting emergency relief to affected areas can be challenging, anticipating disasters in advance could potentially help to reduce human suffering and losses.

Humanitarian organisations are forced to be reactive, rather than being anticipatory. Consequently, finance for emergency response often only becomes available after a disaster has struck. Delayed financing causes even further delays in providing critical aid.

While there are numerous indicies that track and monitor different aspects of humanitarian assistance and drivers for need, there is no single source to guide early allocation of funds. Without having any models to anticipate the effect of an upcoming crisis, funding will only become available after the fact.

To improve disaster response efforts, we ask you to help forecast humanitarian disasters and their impact in order to make available emergency funds available in time. Currently, there is not one comprehensive model to anticipate disasters and determine their impact.

Preparing for emergency: forecasting humanitarian finance

Our democracy is eroding as a result of this new disruptive information technology. Trust in existing political, financial, economic, legal and even social institutions has been damaged, partly because of the Snowden revelations and WikiLeaks publications, which have corroded social capital. Society is becoming increasingly polarised. In this connection, the ‘openness of the debate’ and ‘fear of media or public condemnation’ threaten to take the edge off our political discussions and drive us towards ‘politically correct’ answers and positions  that fuel a crisis of authority.  Many interest groups, industries and politicians are aware of this situation and realise that, to achieve their objectives, it is best to focus their activities on the trust and existing polarisation of target groups. Sometimes they wish to protect trust in existing views, but sometimes they wish to change those views. Contradicting openly is often not the best method. Sowing doubt about existing views tends to be more effective. An example in this regard are publications about the potentially harmful effects of smoking, sugar, alcohol and firearms.  Doubt can likewise be sown about the human aspects of refugee care, poverty, the approach to COVID-19 and the nitrogen policy, as it  can about the government and the death penalty – doubt about everything.

Information technology is eminently suitable for furthering polarisation and sowing doubt. While the convenience and reach of the internet and social media could unite people across the world, people are increasingly being divided into online data groups, as a result of which people are driven apart and viewpoints harden. There is a digital divide.  State-of-the-art technologies make it possible for influencers to generate data that are tailored to personal needs. This is also referred to as personalised targeting or precision targeting of influence.  By using AI for automatic data collection, evaluation and manipulation, and by using algorithms for automated decision making, we can be fed by information that only confirms our beliefs. In other words, we can end up in echo chambers and silos of belief. The situation is being made worse because information platforms are buying each other up and concentrating.  The infosphere is not universal, but is becoming fragmented. This is a threatening development.

This polarisation and growing doubt are affecting humanity at its core. The ability to think in large groups made it possible for people to devise solutions to the most complex problems (hunger, poverty, disease). While the internet should be improving cooperation, the growing lack of trust may disrupt cooperative ties. Moreover, polarisation is occurring while humankind is facing major problems, such as overpopulation, environmental changes, immigration and raw materials management. This trend is visible in the international arena. International cooperation is decreasing and international organisations (World Bank, International Monetary Fund, Shanghai Cooperation Organisation, United Nations, European Union, NATO) are all losing ground. Many countries are turning inwards and building walls instead of bridges. The recent COVID-19 crisis, the subsequent economic crisis and the lack of European solidarity seem to confirm this assessment. Increasingly alarming terms, such as global anti-libertarianism, progressive localism, national protectionism and national developmentalism, are therefore being used in the subject literature. There is a crisis of confidence.

It is therefore vital that humankind develop mechanisms to counter this destabilising threat. First we have to eliminate ‘sensationalism’ in our profit-making selling mechanisms and strive for more balanced news production. Secondly we have to educate people on their role and responsibility in countering and debunking desinformation. Also we must provide tools to identify and debunking destabilizing newsfeeds and articles.One of the most successful mechanisms of the new information world is to use blockchain methodology in order to make ‘trusted’ and ‘reliable’ transactions in multiple variations. In contradiction with former times, no ledger is needed anymore to make such a transaction, enormously increasing the possibilities to make transactions across the globe.

How can we help Royal Netherlands Army to safeguard trust within its own ranks and within the broader defense system (= Remarkable Trinity of Von Clausewitz (government – army – people) and our Allies by using block chain methodology by the populace (producers) when identifying and debunking desinformation (with regards to security policies, grand strategy and military information) instead of spreading more desinformation?

How can we define what is considered 'good' information?

Since it is impossible to count and check each and every message, how can we select messages (relying on the audience's will and comments)?

Focus on labeling criminal content - but how do you avoid unjust naming, shaming and cancellation?

How to work with input that is not valid? Blockchain technology makes things difficult to correct.

How to support contributors for validating without twisting peer to peer review?

This challenge connects society, low ranking government officials, middle ranking government officials, high ranking (elected) government officials, police forces, armed forces, and institutional organisations.

Design an easy-to-use personnel software package for use on smartphones, tablets and personnel computers, based on block chain methodology, in order to be able to identify and debunk disinformation and in this way ensure the trustworthiness of information itself and maintain trust within our societies.

Designed for multiple devices: smartphones, tablets, computers

Secure and Ethical by design: it should not be available to other governments or misused for peer attacks

Incorporate a selection principle for the information messages

Taking potential malicious intent (click farms, etc. ) into account

The goal of the solution is to protect mankind from the dark side of information technology: maintain law and order, implement governmental policies, promote welfare and wellbeing, safeguard and stimulate economic activity, maintain cultural diversity and cultural creativity, maintain credibility of (represented and delegated) government, maintain trust within society, safeguard privacy, promote knowledge production and scientific research, etc.

Instead of having governments, institutions or AI deciding on trustworthiness of information sharing without validation,we should be working together to  fight disinformation with disinformation, discredit and silence desinformaters.

Blockchain against misinformation

How can we help Royal Netherlands Army to safeguard trust within its own ranks and within the broader defense system (= Remarkable Trinity of...

The Netherlands’ online environment has become a comfortable setting for various types of cybercrime due to its high quality and dense access to the internet, predominant online trading, as well as a growing target group of more vulnerable users with different levels of cultural and tech literacy (elderly, students, expats, refugees, etc.)

 by the Rathenau Instituut has looked into the problem of 

‘What is the nature and scale of harmful and immoral behaviour online in the Netherlands, what are the underlying mechanisms and causes, and what options for action are available to the ministry, and the government as a whole, for limiting harmful and immoral behaviour online?’

This study is the first to map all aspects of harmful and immoral online behaviour in the Netherlands. The Rathenau Instituut developed a taxonomy of six categories of harmful and immoral conduct online, listing 22 different phenomena that all internet users in the Netherlands may encounter sooner or later (see Figure 1).

Certain mechanisms and properties of the online environment are conducive to generating harmful human behaviour. These online mechanisms may cause people to deal with values and rules differently online than offline. Besides the mechanisms of the internet, many other factors influence human behaviour, such as social, psychological, cultural and economic factors. All these factors play a role in the development of harmful and immoral behaviour online. This report focuses on the mechanisms that characterise the internet.

The most important observation of the report is that many of the current initiatives are reactive in nature. They are mainly aimed at combating the symptoms of harmful and immoral behaviour, not at the underlying mechanisms. This overview of online mechanisms can help governments and other stakeholders to be more proactive.

An additional level of complexity comes from the legal issue in the Netherlands that companies are prohibited to share information cross sectorally in order to combat fraud. This has resulted in a counterproductive attempt to counter fraud and gives fraudsters the opportunity to ‘shop’ (cross sectoral). Solutions within certain branches pose no threat to agile criminals that use many different ways to make money. While doing so fraudsters use money mules (or facilitators, false identities etc.) without being detected or punished. This challenge turns things around, by no longer focusing on blacklisting. The Ministry of Justice and Security, together with the Public Prosecutor, wants to support an innovative solution that allows for cross-verification of trustworthy users.

How can we help online users, living and operating within The Netherlands, to be better equipped and protected from citizen to citizen fraud by using an embedded technical solution when performing transactions instead of blindly trusting the ecosystem and falling for fraud?

How can we ensure safe online transactions (monetary or ID information)?

What indicators of fraud do we know, and which new indicators can you think of?

How to provide ID verification for online citizen to citizen purchases?

How can we help online users to be more knowledgeable about online fraud and detect it beforehand?

What factors should be taken into consideration when deciding which transfers should be allowed/suspended?

Can we make use of whitelisting, protocols, 2-factor authentication, big data tooling or other approaches?

[Optional] There is a possibility to choose a more narrow direction for the challenge. In this case you can focus on one of these directions:

How can we help foreign students to find and secure accommodation remotely by providing a review or notification when dealing with a trustworthy offer instead of them scanning facebook groups for warning posts?

How can we help elderly internet users to safely perform monetary or ID transactions by signaling out the trusted/verified offers when they have to share their identity online instead of experiencing shame and not having a chance to resolve this issue with police?

This challenge involves individuals that make online deals with other individuals (citizen to citizen fraud level). It is focused on preventing fraud, not using blacklisting. The stakeholders for this challenge are banks, credit card companies, insurance companies, local governments, VNO, NCW, etc.

The solution should not be focused on blacklisting

The solution should not be based on legal support

The solution should not repeat already existing identification tools such as 

 or other  digital service providers (example: 

Preferred target is the citizen to citizen (horizontal) fraud

The solution should be proactive with a preventative aspect (not reactive). Ideally it should be technically embedded, instead of just providing a warning or advice to the vulnerable user

The solution should be agile (very quickly adapting to counteract the evolving approaches of malicious intent)

The solution should focus on safe money transfers and preventing the use of fake/stolen ID

The solution should protect vital information of individuals and/or companies

It should be widely and easily available to use (without the need of installation) or at least have the potential for scalability later on

The main objective of the challenge is to create a concept framework for such a tool rather than visualizing from data sets. The Internet is a rich source of open data that the governmental institutions don’t have the capacity and time to analyze in depth. There are services online that assist users after they have been defrauded, such as 

. This is not the desired case for this challenge, however, it should focus on prevention of fraud rather than assistance after defrauding has occurred.

 > shows current types of frauds and explore other solutions that are available

Online retail stores (bol.com, marktplaats)

Combating horizontal fraud

The Netherlands’ online environment has become a comfortable setting for various types of cybercrime due to its high quality and dense access to the internet, predominant online trading, as well as a growing target group of more vulnerable users with different levels of cultural and tech literacy

Drones will become a standard element in logistics and all kinds of urban services. To ensure a safe usage of the air space it seems inevitable to create special control centers for drones.

The first priority for establishing observational and control functions should be focused on city centers and key locations such as airports, taking into consideration all stakeholders and landscapes.

The challenge encompases many problems, as well as scenarios that we have not foreseen yet. Deck 180 will provide existing software tools, maps and models.

It is necessary for users of drones to be able to reserve their journey from A to B. After their application, they should receive a time slot and a route, considering buildings and other obstacles in the city as well as the hierarchy of passage. Some users will apply for a “fenced” cubic to use their drone for a specific purpose. Authorities will have the possibility to overrule this for urgent missions.

The airports are a special situation. In this case it’s necessary to also take into account the time slots of planes landing and taking off. Next to the visualization of the movements of drones outside and on the premises of the airport, pilots also would like to have insights of drones in their vicinity. Many questions arise when you start thinking about the tools that are required for all these users and situations.

For this challenge we will have a specific prototype focus - using “tiles” (map files) from the Netherlands and test out and ideate on the best way to create a path transition from one tile to another(area A and area B). The chosen tiles will be delivered by Deck 180 (example: RHIA [RotterdamTheHagueAirport] - City Hall The Hague).

Deck 180 aims at developing an aero-space control system for drones (similar to the ones for airplanes)where one controller manages several drone operations at the same time. There is already a base system that needs to be improved and added upon. Currently the path engine system has a drone operation control room, developed with a real time overview of all drone operations without a hierarchical order. They are managed manually by an operator. The system indicates the authorized flight path and the real time behaviour of a drone (altitude and location input).

An addition of hierarchical order and prioritization will be the next key step to achieve a “common information service” to collect data and show flying or non-flying objects and what is their status. They can be analysed based on a list of characteristics (verified, unauthorised, …) which will ultimately assist the algorithm and the operators.

How can we help drone airspace control center to provide and monitor the best path possible per drone by creating a smooth link between one map tile to another when a drone has to complete an operation over a bigger distance instead of calculating separate parts of the flight path within each single tile?

How can we help drone airspace control center to manage the schedule and prioritize paths of flying objects by creating a list of characteristics on which each drone has to be evaluated (secure, unidentified or dangerous, etc.) when a drone has to go from one tile into another there is a big number of drone requests/flights over an area instead of having a decentralized drone monitoring?

How to best approach the dynamic loading of maps (converted lidar to a mathematical 3D model)? Overlapping to calculate the best path is very heavy which perhaps suggests to better take smaller extractions of maps (example: 4 smaller files “tiles” to calculate from) in order to select a path from tile A to tile B (and taking into account any tiles in between).

Multiple tiles can be used in our system. Which tiles should be chosen if points A and B are on 2 different tiles with additional tiles in between ?

How to create a smooth link when calculating the path leaving one map area and entering another? (based on triangles - volume and terrains to define speed and 3D models on navigation and traffic scale)

How to deal best with corridors? Corridors are areas where there is a safe and privacy respectable passage of drones to their final location and back to base station. Establishing such corridors will be the preferred and most likely fastest way to go. A designated x-y-z area for drone flights approved by the city (allowed space or negative areas where drones should not pass through)

How to identify/keep cross checking with all plans if a detected flying object is registered/approved and if it is following its indicated path in a friendly or hostile behaviour compared to the scheduled flight plan?

How can we assist in creating the set of rules and preliminary advice for drone usage per city area in the near and far future? Is it enough if the rules are just risk based at first? Based on discussions with municipalities or other stakeholders in the area examining the vulnerable locations (schools, hospitals, roads, etc.) and determining the baseline which can be updated later on from experiences. This can result in different characteristics per area.

How can define and track reasons or other factors for marking a flight as unsafe? (unregistered, not approved, off path, malicious intent, etc.)

Build an algorithm that connects the ingoing and outgoing location/path of the tiles together.

Optimize the algorithm that this situation also works a certain tile contains a restricted area (ex: hospital, school, etc,)

The tiles in this case are using corridors, so multiple routes are possible. We have to calculate several routes that at the end 1 are suitable. The actual path in every tile is calculated by the Deck180 system, but we don’t know how we connect them together.

Deliver an algorithm that allows for smooth paths and links between tiles as well as creating a hierarchy by characterizing drones on a list of specifications. This algorithm should work together with the existing system for avoiding obstacles and restricted areas. 

3D buildings : vector dataset lighter than the LIDAR dataset for obstacle detection.

Public infrastructure such as water ways for obstacle detection.

Road network: with the road classification for routing algorithms.

Time slots for airports  or integrating drones into transport infrastructure

Transport infrastructure: Warehouses/distribution centres to identify site locations for drone infrastructure deployment.

General

Places of business i.e shopping districts

Utilizing provided existing software tools, maps (tile files) and models

The solution should preferably be targeted at cities and the indicated prototype environment (example: RHIA [RotterdamTheHagueAirport] - City Hall The Hague)

Allowing for evaluation and characterization of drones based on a set of specifications that can vary per area

Allow for hierarchical organization of the drones

Generating a base advice for restrictions in an area that contains for example a hospital, school, street corridor, parks or other edge case environments.

Cross checking in real time how a drone is behaving based on its path and characteristics

Act as a single source of truth for all stakeholders

Sending out a notification or other way of requesting follow up action  to flying objects that are causing a threat

Goal of the solution is to lay the foundation for safe and reliable drone services and operations in cities.

This challenge is part of the Hackathon of ATL (airport technology lab). Made possible by EFRO KvW II and EU.

Drone Flight Control

The Hague Legal Tech Alliance (THLTA) is an initiative of the municipality of The Hague and Pels Rijcken. The municipality of the Hague is known as 

 international city of peace and justice. Security and access to the law are leading, and the many legal institutes established in The Hague contribute to this, for instance, through jurisprudence and investigation. To maintain this unique position in the future, the Hague is committed to connecting these important institutes with the innovative sectors and knowledge institutions.

THLTA provides for this by connecting legal institutions that contribute to the rule of law with the start-up community within the Hague. By doing so, technological innovations are made easier to use and to deploy.

Transparency is paramount for a properly functioning rule of law. If statements and decisions of leading legal institutions are not made public or challenging to find for the population, this can undermine confidence in the law and the rule of law. Simultaneously, the desired transparency must not come at the expense of protecting personal data and data that may not be disclosed by law.

THLTA is convinced that technology can contribute to the transparency of the law and jurisprudence, without undermining the protection of privacy, for example, with the use of automatic cleaning programs. With the help of artificial intelligence, it is possible to extract confidential correspondence from many e-mails. An automatic cleaning program compares a "starter set" of communication with the other files that the user has secured.

THLTA is challenging participants of this year’s Hackathon to create mock-ups of technological applications that contribute to the generation of documents. The requirements of transparency and privacy of these documents need to be taken into account and met directly through the application. Additionally, the mock-ups need to incorporate or contain automatic cleaning properties. THLTA further hopes that the participants of this Hackathon will gain more insight into (future) possibilities to facilitate the traditional legal institutes in The Hague to make the step towards a digital society in other areas as well.

The Hague Legal Tech Alliance

THLTA is challenging participants of this year’s Hackathon to create mock-ups of technological applications that contribute to the generation of documents. The requirements of transparency and privacy of these documents need to be taken into account and met directly through the application.

The Dutch have a complex, inescapable relationship with water, which makes them experts in water management. Water has played a huge part in shaping the culture and institutions of this country.

 solutions are quite advanced yet still facing bottlenecks and exploring areas for improvement. The most important balance lies between saline and fresh water resources.

Climate change and certain events such as the drought period of 2018 have raised the issue of salinity monitoring. The Ministry of Infrastructure and Water management wants to explore more efficient ways of surface water salinity monitoring. This is important for water supply for drinking water, agriculture, industries, as well as the ecology.

In areas where fresh water rivers discharge into the marine environment, a transition zone between fresh-water and saline water is created. Seawater weighs on average 2 to 3% more than fresh water. In areas where both fresh and salt water are present, fresh water floats on top of the heavier salt water, which forms the so-called salt wedge. This salinity process is inhibited by the mixing of fresh and salt water and counter pressure from the fresh water inflow, gradually reducing the salinity upstream. The extent and development of salt intrusion depends on factors such as the amount of (fresh) water the river discharges, the shape of the estuary and the sea level. Because these factors can vary in terms of time and location, salt intrusion process may occur over a short distance, or very gradually over tens of kilometres.

In the Netherlands, salt intrusion is one of the natural processes that must be taken into account in (daily) water management. In the north of the country, the Lake IJsselmeer was created in 1932 by the construction of a 30 km long tidal closure dam, called the “Afsluitdijk”, separating the Wadden Sea from the former northern Rhine estuary, called the “Zuiderzee”. Initially, Lake IJsselmeer was

a large brackish water lake that gradually freshened as relatively fresh river water flushed the former estuary. This created an abrupt transition from fresh water in the Lake IJssel to saline water in the Waddenzee. Saline intrusion near the Afsluitdijk (mainly at the locks) was experienced, in particular in 2018 when Rhine discharge into the Lake IJssel was relatively low.

While the processes involved in salt/fresh water exchange in estuaries and locks are generally well known, their interaction in specific locations (e.g. the exchange of salt/fresh water between river outflow and longshore current flows as a function of the tide, or the interaction between the passage of ships and density current flows at locks) is not. Monitoring of salinity in surface water is important to understand these processes. Up to now, salinity monitoring is mainly reliant on point measurements (for example at salinity measurement buoys) which restricts the number of data points. Recent developments have shown opportunities to monitor salinity from space, for example using data collected by the Aquarius satellite. This is however restricted to the top 2 cm of the water column and has a horizontal resolution of 150km. This project aims at combining different data sources (point observations with satellite data) to better understand salt water intrusion in fresh surface water bodies.

The Afsluitdijk is a major dam and causeway in the Netherlands which is a fundamental part of the larger 

, damming off the Zuiderzee, a salt water inlet of the North Sea, and turning it into the fresh water lake of the 

. The dam serves as a sea barrier to protect the inland against flooding.

This preferred area for exploration has encountered 2 main problem points: low flow from the river and saline waters entering the lake through the locks of the Afsluitdijk.

Future projections of salinization lakes IJsselmeer and Markermeer

Lake IJsselmeer and Lake Markermeer form the largest artificial freshwater system in both the Netherlands and northwestern Europe and are fed primarily by the Rhine River. Both lakes are an important source of freshwater for drinking water production, agriculture and industry in the Netherlands.

The main inflows of chloride into Lake IJsselmeer include the IJssel River (11% of the Rhine discharge), drainage from the surrounding polders and seepage from the Wadden Sea through the tidal closure dam. The main inputs of water and chloride to Lake Markermeer are exchanged with Lake Ijsselmeer (predominantly Rhine River water), rainfall and polder drainage.

The expected rise in salt intrusion will increasingly result in unusable inlet points for agriculture and drinking water.

Due to the prolonged drought, the lock gates had to stay closed and the De Aanleider pumping station pumped freshwater from the Amsterdam Rhine Canal into the Leidsche Rijn, towards the west. This had long lasting effects on industries and on drinking water providers.

The most striking vulnerability: salinization of the IJsselmeer and the Amsterdam-Rhine Canal, significantly decreased groundwater levels on the high sandy soils. The drought of 2018 not only offers opportunities to learn in operational terms for the next extreme drought period, but it also provides new insights for the preferred strategy for freshwater. Combining the existing point measuring systems with high resolution satellite data can provide new ways to monitor and, respectively, alert stakeholders in a timely manner about changes in salinity.

How can we help water managers to better understand and monitor salt water intrusion in the IJsselmeer by combining satellite data with existing point monitoring. Results should ultimately include an alert (early warning) tool. This should consider the changes in weather and water quality including their potential consequences instead of relying solely on in-situ data.

How can we help water managers to map salt water intrusion and discern vertical differences in salinity in the water column (salt water under fresh water)?

How can we help stakeholders of the Ijsselmeer to manage the risks of increased salinity (alerts and predictions) by using high resolution satellite data when the sluice gates are opened?

This challenge affects key stakeholders such as water-quality and water-management organizations, drinking water companies, water boards, policy makers, the agriculture sector, nature organizations, workers at ships and dikes and local citizens.

Improves monitoring by combining current point measurements … with satellite data (The Netherlands collects high resolution satellite data)

Incorporates an alert procedure/system to notify key stakeholders or can distribute notification messages

The solution maps out the spreading of saline water and following developments or cascading effects

Scalable (procedure that can be applied to other areas with sea water intrusion [examples: Hollandse IJssel,  IJssel, Brielse meer, etc. for farming and drinking water])

Allows for a future upgrade which can give a salinity forecast based on weather forecasts

All challenges

An overview of all challenges that happend during the hackathons

The Hague 5 is back and calls for challenges

Past challenges

An overview of all challenges that happend during past hackathons

Drone Flight Control

Remote sensing for water salinity monitoring

Urban Flood Mitigation

Blockchain against misinformation

DeepFake Alert

Combating horizontal fraud

Food Waste

Water & Circular Greenhouse Economy

Environmental crimes