Data analytics & Cloud Computing Christoforos Kachris is a senior researcher at National Technical University of Athens (NTUA/ICCS). Currently he is the Technical Project Manager of the H2020 VINEYARD EU-funded project working on efficient utilization of reconfigurable accelerator-based servers in the data centers.

His main expertise in on hardware acceleration of applications like network processing, image processing, high performance and cloud computing.

He has over 15 years of experience on FPGAs (reconfigurable computing), digital design, embedded systems (SoCs), and HW/SW co-design mainly in network processing, microservers, optical interconnects, and telecommunication systems. He also has more than 10 years’ experience in EU-funded projects (proposal preparation/writing, researcher, principal investigator, WP leader).

Introduction to GIS Presentation "Introduce to GIS" brings the audience to the fascinating world of GIS - Geographic Information System. Content included in the presentation provides brief overview of fundamental definitions and concepts related to GIS. The student will be introduced to the basic theories how GIS works, what applications of GIS are or how spatial data defined and processed is. Selected examples presented in the presentation will help student to understand the idea of GIS. The presentation is directed to beginners who are not familiar with Geographic Information Systems.

Approximate duration: 60 min Piotr Czubek Spatial thinking is one of most common skill in human life. This ability has been accompanying me for a long time.

My interestings in Maps and Geography have started in teenage years when I was wandering in forest with map and participating in Orienteering competitions. Participation allowed me to observe the diversity of the world around us, that why I decided to

expand my knowledge in Geography.

I Graduteted from Gdańsk University of Technology (Bsc) and Warsaw University of Technology (Msc), where I met many fascinating people with similar passion for Earth Sciences. Thanks to them I can pass on the knowledge gained. Now, I am working in OPEGIEKA Sp. z o.o. where I am realizing tasks focused on processing photogrametric aerial data. Basing on my experiences, I can safely say that solving spatial problems allows us to better understand reality.

Introduction to SAR Data The course is an introduction to the characteristics of SAR (Synthetic Aperture Radar) images explaining the concepts of the spatial resolution and the issues connected to the acquisition geometry. The main physical mechanisms underlying the data generation are also presented with a look at some examples of applications.

Fabio Del Frate received the Laurea degree in electronic engineering and the Ph.D. degree in computer science from the University of Rome Tor Vergata, Rome, Italy, in 1992 and 1997, respectively. From September 1995 to June 1996, he was a Visiting Scientist at the Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA. From 1998 to 1999, he was with the European Space Agency (ESA), ESA Centre for Earth Observation, Frascati, Italy, as a Research Fellow.

He is currently an Associate Professor with the University of Rome Tor Vergata, where he teaches courses on applied electromagnetics and remote sensing. He has authored or coauthored more than international 200 scientific publications, with a special focus on the use of machine learning algorithms for remote sensing inversion problems.

Using geospatial data for land planning policies In this tutorial we will see how, from earth observation data and a multi-agent simulation model, it is possible to manage mountainous areas and especially areas dedicated to agro-pastoral activities. In the case study that will be presented, satellite images are used to evaluate the potential of mountain areas in terms of quality and quantity of available forage. In this end, the multi-agent model SHIELD (Simulating Herd Impact on Encroachment in upLanD) developed on the Netlogo platform (https://ccl.northwestern.edu/netlogo/), will be presented. Based on prospective scenarios, simulations are run to evaluate the impact of different land management policies on land cover. Laure Vacquié | PhD in Geography of Environment (University of Toulouse 2 Jean Jaurès) and Fabspace Manager of Toulouse, France. My research focus on the analysis of the spatial and temporal dynamics (retrospective and prospective) of Land Use and Land Cover (LULC) and the modelling of Land Use and Land Cover Changes (LUCC). The identification of LUCC processes, either environmental, socio-economic or political, allows the development of spatially explicit scenarios in order to explore future mid or long term LUCC to better define adaptation management strategies. Moreover, accounting for spatial scales for prospective studies is crucial since determines the simulation models to be favored and the methods to build scenarios that are the most suitable.

Technical Session on Earth observation (Part-1) Prof. Dr.-Ing. Matthias Becker, got Diploma in Geodesy at TU Darmstadt (1979) and academic degree Dr.-Ing. (PhD) (1984), worked at the “Bundesamt für Kartographie und Geodäsie (BKG)”, Frankfurt (1993-2000), was professor of Applied Geodesy, Institute of Geodesy, University of the Bundeswehr Munich, Germany (2000-2004) and currently Chair of Physical- and Satellite Geodesy, Darmstadt University of Technology, Germany. His teaching areas included Lecturing in Physical Geodesy, Satellite

Geodesy and Navigation. His remarkable research expertise on Satellite Geodesy, Gravimetry, Altimetry, GNSS kinematic and real-time applications, and Geodynamics. In addition, he is a Chairman and member of several consortia and IAG study groups. He was involved and partly led EU funded projects (SELF-II, GEODYSSEA, ESEAS-RI, CERGOP-2) and Projects funded by the German Research Foundation and from ESA presently. Research contracts in navigation and terrestrial radar applications with industry. He is also the Project Leader of FabSpace 2.0 Germany.

(Part-2) Dr. Ing. Damian Bargiel, Dipl-Ing. of Landscape Planning (2007), Doctor of Philosophy (PhD) (2013), he was involved as research and scientific assistant at Institute of Environmental Planning, Leibniz University Hannover, Germany. Currently he is the Postdoc and Supervisor of the Department of Remote Sensing and Image Analysis, Darmstadt University of Technology. His teaching area and outstanding research expertise on optical and radar remote sensing. (Part-3) Md Bayzidul Islam completed BSc. in Urban and Rural Planning, special focus on Remote Sensing and Geographic Information System (GIS) (2009), achieved MSc. In Technology and Resources Management, special focus on Geo-spatial technology and transfer (2015), currently working as a Lead Project Manager at FabSpace 2.0 Darmstadt, a European initiative to bring all geo-

enthusiasts together in-line with the Copernicus mission and vision, in cooperation with Darmstadt University of Technology and ESA business incubation center. Managing the FabLab, he creates a geo-network for geo-data-driven innovation by leveraging space data by the development of FabSpace Geo-portal (https://fab-server.ipg.verm.tu-darmstadt.de) for prototype application development and visualization. In addition, he supports Geo-enthusiasts to create processing algorithms to get easy access and process “Satellite Imagery to Develop Digital Applications”.

Rapid prototyping of software/hardware accelerators The course will provide an overview regarding rapid prototyping of hardware/software accelerators for DSP applications.

It will focus on high performance processing platforms, such as Field Programmable Gate Arrays (FPGA), and the co-design techniques required to develop efficient solutions for time-critical applications. The course will briefly describe the programming approaches and relevant tools used in the development phase of such projects, as well as the guidelines to analyze and design effective architectures. As example applications in space, the course will summarize the results from projects related to Computer Vision for Rovers in Mars and Relative Satellite Navigation for Active Debris Removal. Dr George Lentaris holds a PhD in Computing from the National & Kapodistrian University of Athens (NKUA), Greece, as well as two MSc degrees in "Logic, Algorithms, and Computation" and in "Electronic Automation", with a BSc in Physics, all awarded by NKUA. His PhD research resulted in the thesis entitled "Parallel Architectures and Algorithms for Digital Signal and Image Processing", which contributes in organizing parallel memories for graphics applications and designing motion estimation architectures for video compression.

The research interests of dr Lentaris are, mainly, in parallel algorithms and architectures for applications in signal and image/video processing. His work focuses on digital circuit design and it includes computer vision algorithms, feature extraction, hyperspectral imaging, H.264/AVC encoding, motion estimation techniques, 1D/2D signal interpolation and filtering, OFDM synchronization, FFT implementations, parallel memories organization, as well as process variability and reliability of FPGA devices.

Currently, he is a research associate at Microlab, NTUA, GR, working on HW/SW co-design of computer vision to enhance autonomous rover and/or spacecraft navigation. Specifically, he is involved in using single-, multi-, and SoC-FPGA platforms to accelerate stereo vision, visual odometry, and pose estimation of uncooperative targets for the future missions of ESA.

Improving Health using EO Data The course shows how Earth Observation data can be exploited for health issues. This happens because EO data provide information about environmental parameters which, in turn, are affecting health. Interesting examples regard the monitoring of Land Surface Temperatures or of the concentration of ozone in the atmosphere. Some methodologies for the estimation of these quantities will be described.

Fabio Del Frate received the Laurea degree in electronic engineering and the Ph.D. degree in computer science from the University of Rome Tor Vergata, Rome, Italy, in 1992 and 1997, respectively. From September 1995 to June 1996, he was a Visiting Scientist at the Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA. From 1998 to 1999, he was with the European Space Agency (ESA), ESA Centre for Earth Observation, Frascati, Italy, as a Research Fellow. He is currently

an Associate Professor with the University of Rome Tor Vergata, where he teaches courses on applied electromagnetics and remote sensing. He has authored or coauthored more than international 200 scientific publications, with a special focus on the use of machine learning algorithms for remote sensing inversion problems.

Machine Learning Techniques

This 1 hour lecture aims at giving the basis about machine learning. I will introduce the context of machine learning, data representation for ML, ML approaches and applications and will provide some useful links for attendees who want to know more about ML.

Josiane Mothe is professor in computer science at the Universitι de Toulouse, France. She is a specialist in information retrieval and big data. Her researches focus on information retrieval and data analytics for information access. She is teaching advanced data bases, big data, data mining and machine learning applications in different Master degrees. She is leading FabSpace 2.0 European project, supervised to completion 11 PhD students. www.irit.fr/~Josiane.Mothe

Information fusion for remote sensing This talk will introduce the concepts of data fusion from satellite data, with examples in the context of urban remote sensing. We will consider data fusion at the decision level, discussing decision fusion, multi-classifier fusion and model-based fusion.

Paolo Gamba is full professor at the University of Pavia. He has been working in topics related to data fusion and urban remote sensing for more than 20 years, with a strong focus on developing novel fusion techniques at the feature and decision level. He is author of more than 140 journal papers, and currently serves as Executive VicePresident of the IEEE Geoscience and Remote Sensing Society.

Business Model Design The module goes through the introduction of a strategic tool, the Business Model Canvas (by A.Osterwalder), a strategic management and lean startup template for developing new or documenting existing business models. It is a visual chart with elements describing a company's or product's value proposition, infrastructure, customers, and finances. The four elements are: (1) a value proposition for customers; (2) resources, such as people, money, and technology; (3) the processes that the organization uses to convert inputs to finished products or services; and (4) the profit formula that dictates the margins, asset velocity, and scale required to achieve an attractive return. Interdependencies, represented here by bidirectional arrows, describe the integration required between individual elements of the business model. They require that every component of the model be congruent with every other component.

Roberto Giuliani is the Manager for the regional incubation programme of the European Space Agency (ESA BIC Lazio), in collaboration with Regione Lazio and the Italian Space Agency (ASI ). Graduated in Economics since 2009 he has been covering the role of Head of the ITech incubator, to support the creation of new companies and spin-offs, based on innovative technological applications and he has assisted the launch of more than 40 startups. He also has been involved in regular relationship with local universities and national research centres.

New and disruptive business models are emblematic of our generation and they are indispensable for dealing with every crisis with impetus. When markets are upsetting, those who can combine a rigorous method with a strong creativity can not only survive, but also thrive. All new businesses have to deal with the challenge of designing a sustainable business model. This is especially true for businesses with innovative products and/or services as a new generation of digital EO driven start-ups.

Managing Intellectual Property This session presents, in broad terms and in a possibly comprehensive and comprehensible manner, the Intellectual Property management basics. Namely, the legal systems for the protection of copyright, patents and trademarks are elaborated upon. While every effort has been undertaken to make this session accessible to non-legal scholars, it is expected to be complemented by a Q&A online session, that will address any queries and remarks raised.

Vagelis Papakonstantinou is a legal scholar in Brussels, Belgium, where he works as a senior researcher at the Vrije Universiteit Brussel, and a practicing attorney in Athens, Greece, where he has co-founded and runs MPlegal law firm. Since 2016 he is serving as a member (alternate) of the Hellenic Data Protection Authority. His personal website may be found at www.papakonstantinou.me.

Strategic Marketing This module is about how to take a strategic approach in marketing planning to achieve competitive advantage. It recognizes the significance of situation analysis and introduces techniques for assessing the external and internal environments that enable effective decision making. The module outlines the importance of all stages within the marketing process, from the analysis of external environment (analytical marketing) to strategic decision

Roberto Giuliani is the Manager for the regional incubation programme of the European Space Agency (ESA BIC Lazio), in collaboration with Regione Lazio and the Italian Space Agency (ASI ). Graduated in Economics since 2009 he has been covering the role of Head of the ITech incubator, to support the creation of new companies and spin-offs, based on innovative technological applications and he has assisted the launch of more than 40 startups. He also has been involved in regular relationship with local universities and national research centres.

Space Innovation Management What is innovation? How to set a strategy when you want to promote your own idea? Through this video you’ll heard about the most famous theories from great men as M. Porter, C. Christensen or A. Osterwalder. This will help you to understand the basic concepts of innovation management. A use case it also discussed at the end to show how to apply these theories. We’ve chosen to analyze the cubesat phenomenon as an example of disruptive innovation. Have a great time with this video!

Gregory Pradels After 10 years working as project manager for various space missions, Grégory has focused his interest on space economy and developed specific assets on innovation management and business analysis. First position as PhD student in physics at the French Aerospace Laboratory (ONERA), Grégory worked during three years on the MICROSCOPE space mission to assess on orbit calibration methods for the embedded payload. The thesis has been awarded by an international price, delivered by the IAF. Second position at

the French Space Agency (CNES), Grégory worked successively on various scientific space projects to develop ground segment, mission operation systems, satellite equipment industrialization. During these years, Grégory developed very good knowledge of space engineering and collaborate with various experts from all over Europe and major countries involved in space activities. He has delivered numerous papers and conferences in international congresses, mainly about space project management. After a MBA devoted to innovation management, Grégory took a third position at Aerospace Valley cluster to support the development of small satellites market. This new position was an opportunity to develop new skills in line with the current move toward the New Space.

Company Structure During session called “Company Structure” we will try to address four topics:

1. When to start a company?

2. Variety of business enteties.

3. Types of organizational structures.

4. Team is everything! Because the difference in legal systems between project countries the session is aimed not to give straight answers – how to establish a company, and how to structuring it to be the most effective. I will try to open some questions and issues that are crucial for all companies in the beginning of their life. I hope you will enjoy the session and look forward to talk during live session..

Łukasz Sztern – Since 2016 he has been managing the Innovation Incubator of the Warsaw University of Technology. The operation of the incubator is aimed at strengthening the academic community and young entrepreneurs in Warsaw by providing them with a comprehensive range of services that enable them to verify, develop and scale business ideas and startup companies.

Project Management The course will be a brief overview and give you some insights on project management. You’ll get to know the basic terminology and the basic concept. The main idea will be to use project management as a tool to get you started. You will also know the difference between project and process management, which is important for you. We’ll have to ignore some parts and just focus on the aspects that help you right away at the point you’re. So, it’s more a crash course and you have to dig in deeper afterwards to find the solution that fit’s best to you.

Sascha Heising born in 1983 in Gelnhausen, Germany. Studied Meterology and Geography at Goethe University Frankfurt, Bachelor degree.Founded a drone-data company together with colleague out of university. Entrepreneur with years of experience in geo-data (especially drone) and startup businesses. ESA BIC alumni. EXIST alumni. Winner of 3rd price of Goethe Innovationspreis. Well known expert in drone business in D-A-CH region. FabSpace 2.0 project leader for Germany, part time.

Corporate Communication and Public Relations The course will provide you an overview about the topic. But the course will also ignore a lot of basic stuff, like writing a subline. Mainly it will give you some hints how to gain traction, quickly. The idea is to provide you with some tools, which ca be used as an accelerator for your business. The course can be seen as a quick method to create awareness that helps your business to grow.

Sascha Heising born in 1983 in Gelnhausen, Germany. Studied Meterology and Geography at Goethe University Frankfurt, Bachelor degree.Founded a drone-data company together with colleague out of university. Entrepreneur with years of experience in geo-data (especially drone) and startup businesses. ESA BIC alumni. EXIST alumni. Winner of 3rd price of Goethe Innovationspreis. Well known expert in drone business in D-A-CH region. FabSpace 2.0 project leader for Germany, part time.