Landing page for the ICT Research Lunch 2022 event
Join the ESS-ICT Research Lunch on the 01 December from 12:30 to 13:30 at B3.470 (3rd floor, TPM Building) to get information about both the teaching and research activities of the ICT section.
The event will start with a plenary session introducing the section and its activities, and will be followed by presentations from the different researchers in their respective offices (more information in the planning below).
A walking lunch will be offered to the participants registered before the 28/11.
During the Research Lunch you will be able to meet professors and researchers in an informal setting, and to ask the questions you might have concerning courses, bachelor end projects and master theses.
To register, complete the form here. Please note that:
In short…
| PLENARY SESSION - 12:30 TO 12:45 | |||
|---|---|---|---|
| Researcher | Research title: | Short description of research: | Room |
| Anneke Zuiderwijk | Introduction to the ICT Section | B3.470 | |
| FIRST SESSION - 12:45 TO 13:00 - 3 parallel sessions, 15 minutes each (10 minutes presentation + questions/discussion) | |||
| Researcher | Research title: | Short description of research: | Room |
| Anneke Zuiderwijk | Open and FAIR data | Open data has enormous potential to generate benefits and value (e.g. increased transparency, scientific innovation, economic growth). However, for good reasons, researchers, companies, governments and citizens are often reluctant to openly share their own data and to use the data openly shared by others. In my research, I develop and test theory for the development of infrastructural and institutional arrangements that stimulate and incentivize open data sharing and use behavior by governments, researchers, companies and citizens. | B3.220 |
| Roel Dobbe | A sociotechnical systems lens to understand and prevent harms and achieve sustainable progress in AI and algorithmic systems | Our group situates AI or data-driven and algorithmic functionality as an inherent component of a broader sociotechnical system, by leveraging lessons and tools from the field of systems and control. While AI/algorithms are often associated with technical and mathematical formalisms and techniques, there are rich lessons about what it takes to ensure control systems work well in practice. Recently, a plethora of perspectives and initiatives have emerged to try, in one way or another, align the use and behavior of AI systems with human values, broadly falling under technical measures, ethical design approaches and policy instruments. While these all have their potential merit, they lack an integral lens on AI as an intricate part of a sociotechnical system. However, trying to ``bring it al together'' is a daunting task that may strand in unmanageable or incomprehensible complexity. Therefore, our group works towards an integral lens for the design and governance of AI systems, by situating AI and building up complexity in two ways. Firstly, by situating AI in a systems and control framework, and expanding the frame of analysis towards the context of integration, connections and dependencies on networked infrastructure, and the institutional safety control structure. Secondly, by situating AI systems in a variety of human and environmental contexts, namely domain of use, political-administrative, societal and environmental. Whereas the first situating lens allows for tangible sociotechnical structures to ensure values are actively controlled for, the second lens captures the most prominent material implications that may help to elicit what values are at stake and how to protect or advance them. We then reflect on how these two ways of situating may provide ways to formulate shared language between those responsible for ``engineering'' sociotechnical AI systems that work as envisioned and those representing and shepherding the contexts in which these systems intervene and the impacts and implications these systems should or should not yield. |
B3.190 |
| Jacopo De Stefani | Applied Machine Learning for Social Good | The field of Machine Learning aims to build predictive models automatically from available data, as opposed to traditional modeling techniques. The technological developments of the recent years allowed for an unprecedented availability of both data (from all kind of domains) and predictive models/algorithms (which can easily be executed with few lines of code). As such, the ability of developing its own predictive model is becoming more and more accessible, even to less technically inclined people. While generally this type of model are applied in the private sector, to maximize economical benefits, the current wealth of data and algorithms could easily allow applications in the public sector (national or local governmenta) or in the social sector (non-profit or social enterprises). | B3.140 |
| SECOND SESSION - 13:00 TO 13:15 - 3 parallel sessions, 15 minutes each (10 minutes presentation + questions/discussion) | |||
| Researcher | Research title: | Short description of research: | Room |
| Boriana Rukanova | Digital infrastructures for circular economy monitoring | Circular economy is high on the political agenda. Governments nationally and internationally are introducing targets and measures for stimulating businesses and citizens for the circular economy transition. For these measures to be implemented, proper monitoring needs to be put in place and digital infrastructure and information play a key role in that context. Still governments lack sufficient information to be able to do proper monitoring of circular economy flows. The issue is that information crosses multiple supply chains from raw materials to products, to use of these products and their handling at the end of life. Next to that secondary materials enter in new supply chains. This brings issues with transparency and monitiring. In the research that we condust we build upon earlier research on the use of digital infrastructures for monitoring intrenational trade flows and we now examine how it may be expanded also to the context of circular economy monitoring. We also examine the role that digital product passports play in that context. | B3.220 |
| Ini Kong | Transitioning towards Quantum-safe Public Key Infrastructures | Public Key Infrastructure (PKI) is at the core of Europe’s electronic identification scheme and communication infrastructure. As the pace of quantum research continues to accelerate, many popular cryptographic algorithms and encryption schemes that PKI depends on may no longer be reliable. Without preparation, sensitive data and the security of services in different sectors of our society (eg. financial, telecommunication and government) will be disrupted. However, modifying current PKI system to one that is quantum-safe (QS) remains complex and challenges are socio-technical. My research deconstructs the QS PKI transition into a series of stages and examines how organizations can evolve and be arranged over time towards QS PKI systems. | B3.130 |
| Antragama Ewa Abbas | Data marketplaces: A research agenda | How many times do we “reject cookies” when browsing online? Probably never? It is then no secret that we allow companies to track our online movement. What if we can prevent this tracking, or even better, we have a choice to earn from this tracking? This use case is an example of (C2B) data marketplaces, a highly emerging policy-making agenda in the EU to allow fair, responsible, and ethical data sharing. For example, what is AI without “good” data? Then, data marketplaces offer alternatives to provide high-quality data inputs. In this talk, I will trade your 15 minutes with an eye-opener (research) agenda about data marketplaces. | B3.310 |
| THIRD SESSION - 13:15 TO 13:30 - 3 parallel sessions, 15 minutes each (10 minutes presentation + questions/discussion) | |||
| Researcher | Research title: | Short description of research: | Room |
| dr Jolien Ubacht | Blockchain-based applications | Blockchain (BC) and distributed ledger technology (DLT) have the potential to improve data sharing processes in which multiple stakeholders are involved. For example: transactions and information exchange between governmental organizations (G2G), between business and government (B2G), between governments and citizens (G2C) as well as between businesses in a supply or value chain can be transformed by using blockchain-based applications. These applications can improve the efficiency of information exchange (e.g. leading to less fraud and mistakes than paper-based registrations) and can contribute to sustainable development goals (e.g. by means of digital identities or supporting peer to peer energy systems). In the presentation I will present an overview of our research into blockchain-based applications in a diversity of domains. | B.3.190 |
| Nitesh Barosa | GovTech and Public Service Innovation with Digicampus | How can we improve the quality of public services online (e.g. requesting student loans or asking for energy subsidies)? What are responsible GovTech solution designs? What are human centric public services? How can we promote civic participation in GovTech design and governance? If you want to do research projects on such questions, you are welcome to visit Digicampus. Digicampus is a collective innovation hub where government, businesses, researchers and civic groups design and experiment with the next generation public services. For more information visit www.digicampus.tech | B3.120 |
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