Collective Intelligence: How data can be used for the public good
Thursday 16 September 2021With the abundance of data being produced in every sector the question emerges on ‘how do we use the data, for what purpose and who is benefiting? Collective Intelligence is the concept of combining data of many individuals and sharing of knowledge to enhance and accelerate the cultivation of novel ideas, solutions and innovation. This webinar will bring together leading experts to explore the opportunities of collective intelligence and its strong potential for benefiting the society. We also will discuss the potential risks and disadvantages that may arise from shared data and collective intelligence. Join us for exciting presentations from expert speakers, followed by a dynamic discussion addressing the key issues and considerations currently facing this area.
Marisa Ponti
Marisa is Associate Professor in Informatics, Department of Applied Information Technology at the University of Gothenburg in Sweden. Her main research areas include data, data infrastructure and citizen-generated data, and citizen science and sustainability. Her current research focuses on the design of machine-human integration to advance collective knowledge for scientific activities and to solve social problems. The methods I focus on to bring together people, data and technology include citizen science, crowdsourcing, peer-to-peer exchange and citizen-generated data.
Gar Mac CrÃosta
Gar Mac CrÃosta is an IASA certified architect and spends much of his time trying to figure out what being a sociotechnologist is; so he can be one. He regularly engages in humane human experiments and is very certain that he spends most of his time being uncertain. Currently (since March 2020) he is the Product Lead for the COVID Tracker App in the Health Service Executive (HSE) in Ireland (www.covidtracker.ie) a COVID-19 pandemic response app. Gar has worked as a Digital Advisor to the CIO in the HSE since early 2019. Gar is the founder of Business Model Adventures and has been an active contributor to IASA Global since 2006, developing & delivering education and certification programs. Gar has facilitated the development of change programs with C-level executives, senior managers, technology leaders, and executives in the areas of business model innovation, digital strategy, architecture, and design across various indus¬tries. Gar is a Certified Architect Professional (IASA CITAP), a Fellow of the Irish Computer Society, a LEGO Serious Play Practitioner (LSP) and in the process of becoming a Cynefin Practitioner.
Rob Gleasure
Rob Gleasure is an Associate Professor at the Department of Digitalization, Copenhagen Business School. His research focuses on many different forms of collective intelligence, such as crowdsourcing, social media, and distributed teams. He is particularly interested in the role of biases, affective processes, and physiological influences. He is on the Editorial Board for the European Journal of Information Systems and the Journal of Information Technology and has chaired multiple international conferences. Rob has also led several funded research projects on alternative finance and community investing. More recently, Rob became a Carlsberg Research Fellow, where he is leading a project on ‘mood synchronicity’ in online settings. His research has appeared in many top-ranked journals, including Information Systems Research, Journal for the Association of Information Systems, Journal of Management Information Systems, European Journal of Information Systems, Information Systems Journal, the Journal of Information Technology, the Journal of Strategic Information Systems, California Management Review, and Sloan Management Review.
Adeyla Fatykhova
Adelya Fatykhova is an Innovation Lead from the SAP Innovation Center Network in Potsdam with a background in computer science and business. Over her seven years of SAP experience, Adelya has worked on topics spanning healthcare, business process intelligence, future finance, and autonomous enterprise. Data governance has taken a central role across these various domains, whether in the context of personal health data processing, crafting of digital twins for humans and enterprises, predictive algorithms, explainability, augmented decision support, or regulatory compliance.
