Raul Palma – Mentor at the Nairobi INSPIRE Hackathon 2019

Dr. Raul Palma is the coordinator of Semantic Technologies in the Network Services division, and leader of international activities in agri-food sector at Poznan Supercomputing and Networking Center in Poland (PSNC). He received his PhD in artificial intelligence from Universidad Politecnica de Madrid (Spain), and holds a MsC in Information Systems. His research experience includes provenance and evolution, preservation of data and methods, ontology engineering and semantic technologies, open and linked data, software architectures and cloud computing, as well as their application in different domains. He has more than 14 years of experience in research and innovation projects at national and international level, and has been involved in supporting innovation activities and projects focused towards the development of smart agriculture eco-systems. He is responsible of open data activities and committee member of Plan4All, a non-profit association sustaining and further enhancing results of multiple research and innovation projects. In PSNC, he has led and participated in multiple projects, including Cybele, SmartAgriHubs, Databio, EVEREST, FOODIE, SmartAgriFood2, Wf4Ever, e-Lico and others. He has been involved in the development of the research object model and supporting technologies since the beginning, and has been devoted to their dissemination, adoption and exploitation in different domains. He is co-founder and leader of ROHub project. He has published multiple articles, papers and book chapters and has authored or co-authored several vocabularies and ontologies.

Raul is the mentor of Team no. 6 Open Data and Data Sharing in Agri-Food Chains in Africa.

Webinar of this team:

Thursday 4 April2pmTeam 6Webinar URLRaul Palma

Otakar Čerba – Mentor at the Nairobi INSPIRE Hackathon 2019

Assoc. prof. Otakar Čerba, Ph.D. works at the Department of Geomatics (Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic). He is focused on web cartography, thematic cartography, Linked Data on the geographic domain and semantic issues of geographic data. He has been involved in many international projects such as Humboldt, SDI4Apps, SmartOpenData, Plan4all, ROSIE and Polivisu (as the member of Plan4all team). Otakar is the main developer of the Smart Points of Interest data model. Otakar Čerba is the members of the board of Czech Association of GeoInformation and the Commission on Maps and the Internet of International Cartographic Association.

Ota is the mentor of Team no. 7 Smart Points of Interest Publication of Open Data in Africa as 5-star Linked Open Data.

Webinar of this team:

Friday 5 April10amTeam 7Webinar URLOta Cerba

Webinars Nairobi INSPIRE Hackathon 2019

There will be a series of webinars – one webinar for each of the 9 teams of the Nairobi INSPIRE Hackathon 2019. In these webinars you will learn about the topics addressed, get an overview of the planned work, and of course discuss the first rounds of ideas.

DayTime (CEST)TeamWebinar URLMentor
Thursday 4 April1pmTeam 2Webinar URLKarel Jedlicka
Thursday 4 April2pmTeam 6Webinar URLRaul Palma
Thursday 4 April3pmTeam 4Webinar URLMichal Kepka
Thursday 4 April4pmTeam 3Webinar URLDmitrij Kozuch
Friday 5 April10amTeam 7Webinar URLOta Cerba
Friday 5 April12pmTeam 9Webinar URLDan Beran
Monday 8 April2pmTeam 5Webinar URLKarel Charvat
Monday 8 April3pmTeam 1Webinar URLKarel Charvat
Monday 8 April4pmTeam 8Webinar URLUta Wehn

TEAM 8: Citizen Science in Africa to Ground Truth & Exploit Earth Observation Data

This is a description of Team no 8 of the Nairobi INSPIRE Hackathon 2019 led by
Uta Wehn as a mentor and assisted by Raitis Berzins and Simon Leitgeb.

From “We cannot manage what we cannot measure” to “Let’s measure together!”

Effective environmental management – including day-to-day, hazard and crisis management – is dependent on effective environmental monitoring. But monitoring over large areas in-situ often requires higher levels of capacity than monitoring bodies have. At the same time, those measurements that we can get over large areas – the Earth Observation data coming from satellites – may need in-situ validation in order to provide sufficiently predictive models for meaningful management. Again this can require very high levels of capacity. In both cases, Citizen Science (CS) has already emerged as a potential solution, as exemplified by projects such as beAWARE, Ground Truth 2.0, and a whole range of innovation initiatives – including INSPIRE’s hackathons.

But while the potential for CS is enormous, in practice its implementation (in terms of stakeholder engagement, data interoperability and user-driven app development), its uptake by decision-makers and its integration into mainstream science, are faced by a range of social, scientific, technical and economic challenges. Team 8 will explore these various challenges and generate a wide range of ideas on how sound CS can be used to validate and utilise data from satellites. Experts in the team on the social as well as technical aspects of CS will help groom initial ideas, support app development, and promote the combination of data from various sources, etc.

Not only that, but while the INSPIRE hackathon itself is not a competition, there is the possibility across all the hackathon Teams to channel great ideas to the CSEOLab  process for the chance to win ESA-funding and CSEOL project support for pilot projects. So let’s explore how we can seize the innovative potential of Citizen Science to measure, monitor and manage our environment!

Join this team no. 8 by registering at https://goo.gl/VME2ZG

TEAM 2: Climatic Services for Africa

This is a description of Team no 2 of the Nairobi INSPIRE Hackathon 2019 led by Karel Jedlicka as a mentor and assisted by Karl Gutbrodt, Pavel Hájek, Jiří Valeš, Vojta Lukas.

This team aims to demonstrate several options of meteorological data exploitation for the needs of African farmers. The farmers needs were collected and are described in the Vaughan et al. (2017) study:

As there are many options for exploitation, the team focuses on two use cases. The first one is focused to historical weather data and the second one is related to weather forecast data.

The first use case focuses on evaluation of a suitability of a region for particular crop type – based on climatic data. In particular, Kenya, as the conference hosting country, is selected as the area of interest and maize is selected as the crop.

The goal is to categorize Kenya countryside to regions according to a suitability of maize production, based on Earth observation data and ideally compare it to the real situation in the region. The categorization will be done according to the temperatures and ideally also soil moisture data from last 40 years, looking for areas where there is:

  • a period of 130 days with temperatures between 10°C – 30°C,
  • soil moisture is above a certain value (need to be defined) in the middle of the period.

These conditions are defined by a  growth model of corn, e.g.:

The second use case leverages weather forecast data to predict a probability of insect pest threat to crops. The idea lies in a calculation of cumulative effective temperatures needed for development of “armyworms” (Spodoptera exempta and Spodoptera frugiperda) to grow. As the effective temperatures are calculated from the forecast data, a risk ratio can be calculated in advance and alerts can be sent to farmers via cell phone when needed.

The team is experienced in meteorology, agronomy and geomatics. However, we are looking for new team members as there are:

  • open questions mainly related to local meteorological and agricultural conditions which differ from our Eurocentric experience,
  • opportunities to work with Earth observation and meteorological data.  

The details about our work plan are going to be revealed at the upcoming webinar. Then a Skype based cooperation of the team will take place.


  • European e-Infrastructure for Extreme Data Analytics in Sustainable Development (EUXDAT). H2020: EINFRA-21-2017, no.: 777549. www.euxdat.eu
  • Data-Driven Bioeconomy (DataBio). H2020: ICT-15-2016-2017, no.: 732064. www.databio.eu
  • Research and development of intelligent components of advanced technologies for the Pilsen metropolitan area (InteCom), by the Czech Ministry of Education, Youth and Sports CZ.02.1.01/0.0/0.0/17_048/0007267 [CZE: Výzkum a vývoj inteligentních komponent pokročilých technologií pro plzeňskou metropolitní oblast (InteCom). EU, Operační program pro výzkum, vývoj a vzdělávání. MŠMT CZ.02.1.01/0.0/0.0/17_048/0007267]. https://ntis.zcu.cz/cz/o_centru/resene_projekty/
  • Aggregate Farming in the Cloud (AFarCloud).  H2020 ECSEL JU, no.: 783221.
  • PUNTIS, Project LO1506 of the Czech Ministry of Education, Youth and Sports.

Join this team no. 2 by registering at https://goo.gl/VME2ZG

TEAM 6: Open Data and Data Sharing in Agri-Food Chains in Africa

This is a description of Team no 6 of the Nairobi INSPIRE Hackathon 2019 led by Raul Palma, Esther Dzalé Yeumo, Runar Bergheim, Karel Charvat as mentors.

New digital technologies including Internet of things, big data, artificial intelligence, robotics and Earth observation are changing agriculture and moving agriculture to more information demanding. This requires sharing of data between different stakeholders in agri-food chains (farmers, service providers, advisors, food industry, machinery producers, etc). This doesn’t mean that all this data have to be open. Sharing data is not necessary opening all of them, part of the data can be available for certain groups of members in the chain and under restricted conditions.

The problem of sharing and exchanging data in agriculture has been studied for a long time. Such process is very labor intensive due the fact that most parts have either to be executed manually, and/or require farmers use different tools to manage monitoring and data acquisition on‐line in the field.  The focus of this team will be on the following topics:

  • Identify potential open data available for African farmers
  • Cataloging available open data in a metadata system
  • Analyse differences in sharing and opening data in the context of African agriculture
  • Discuss potential standards feasible for African agriculture
  • Discus existing data models, and how these models can fit for Africa
  • Demonstrate possibilities of linked open data and linked data in the African agriculture context

Join this team no. 6 by registering at https://goo.gl/VME2ZG

Background vector created by starline – www.freepik.com

TEAM 5: Agriculture Innovation Hub for Africa

This is a description of Team no 5 of the Nairobi INSPIRE Hackathon 2019 led by Jiri Kvapil, Petr Uhlir and Karel Charvat as mentors.

Digital Innovation Hubs (DIHs) ensure the connection between the ICT and the farming communities by bringing together IT suppliers, the farming sector, technology experts, investors and other relevant actors. This leads to new applications that are adapted to the real needs of farmers. National and regional authorities can play a key role in encouraging the setting up of DIHs and the creation of a regional innovation ecosystem.

The intention of this team is to develop a social space for African agriculture where farmers, the industry, research community, advisory services and others will be able share their knowledge, needs and experience.

The starting point will be the WirelessInfo DIH, which is now developed in the Czech Republic in the frame of the SmartAgriHub project. We would like to invite different stakeholders, we are also looking for people ready to share their open research materials.

The tasks for this team are as follows:

  • Define a visual identity for the Agriculture Innovation Hub for Africa
  • Define the first structure for the hub
  • Build an initial team who will support this hub
  • Implement this hub
  • Collect initial content for the hub
  • Promote the hub and build a community around it

Join this team no. 5 by registering at https://goo.gl/VME2ZG

TEAM 3: Open Land Use for Africa

This is a description of Team no 3 of the Nairobi INSPIRE Hackathon 2019 led by Dmitrii Kozuch as a mentor.

Many developing countries face problems related to poor spatial planning practices resulting in uncontrolled deforestation, grazing and urbanization occur. In order to mitigate these processes, it is essential to have in place data-based evidence and legal frameworks.

An important part of any planning processes is land use. And this is the key focus of this project to create an open land use database. During the hackathon the team will identify available data sources including Sentinel imagery. Following the methodology for creation of Open Land Use map developed within the SDI4Apps project, the team will extend the coverage of the existing Open Land Use map by several African countries.

As a result, there will be a prototype of a web application for collaborative creation of spatial plan based on the available data. Citizens will have a chance to update the open land use map and verify the classification of land use calculated from the Sentinel imagery.

Anyone interested in this topic from the African communities and experts focused on land use classification, design, web and app development are welcome to join this team.

Join this team no. 3 by registering at https://goo.gl/VME2ZG

OLU Map sources of data

EOVALUE: Call for Innovative Apps in the environmental and social domains

Context and challenge

EOVALUE is launching an open call for development of innovative applications integrating openly available datasets (incl. space and on site observations) and/or on-line services, adding value by creating new variables or indicators to support the EuroGEOSS initiative and in particular the Sustainable Development Goals or the Sendai Framework for Disaster Risk Reduction, or the Paris Agreement on Climate Change. Other areas of application will be considered providing they address broad environmental or social themes across geographic scales.

The Awards

The 20 best applicants will be awarded contracts by the JRC for a maximum of € 13.500 to develop the applications further, and take them to the stage of first public release within 3 months of signing the contracts. The winners will also be invited to present their applications to a dedicated international event co-organised by the European Commission. This will give visibility to the winning teams and provide opportunities for further development. Travel and daily allowance will be supported by the European Commission for 1 person from each winning team.

Deadline for submitting application concept, prototype, or user story (e.g. as document, slide presentation or video): 30 March 2019.

For more information please visit the official call page at https://ec.europa.eu/jrc/communities/en/community/eovalue/news/eovalue-call-innovative-apps-environmental-and-social-domains

TEAM 9: Open Transport Map (OTM) Applications for Africa

This is a description of Team no 9 of the Nairobi INSPIRE Hackathon 2019 led by Daniel Beran as a mentor.

The goal of our team is to demonstrate how interactive traffic modelling can improve traffic situation in any city. The demonstration consist in gathering freely available / open source data and deploy a traffic modeller tool to Nairobi.

The planned workflow of our solution is as follows:

  • gather sufficient data about traffic network and about simulated traffic generators,
  • calculate traffic model and import it into spatial database, where it can be accessed by our traffic modeler.
  • this model will be then used for modeling specific traffic scenarios via traffic modeler’s Application Programming Interface (API) (see the image below).
Architecture of interactive traffic volume modeling

The final step is to develop web Graphical User Interface (GUI) similar to one already in action for the PoliVisu pilot city – Pilsen (see the image below). This application allows users to calculate various traffic scenarios (i.e. change free flow speed/capacity of road segment) in near real time via only web browser with network connection.

Join this team no. 9 by registering at https://goo.gl/VME2ZG