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Our expert keynote speakers will share leading insights into their efforts to define the future of research. Bringing views from North and South America as well as Europe, you'll gain insights from international leaders in the field, that you have yet to gain anywhere else.
Jerry Sheehan - Deputy Director of the National Library of Medicine, USA
Jean-Claude Bergelman - Head of Unit Open Science, European Commission
Carlos Henrique de Brito Cruz - FAPESP Scientific Director
The 2019 program will cover a diverse range of themes including:
Data governance and open data
Many states, industries, and communities are transitioning to economies built on data. While some have individuals and firms with expertise in using data to create new goods and services, many are not well positioned to govern data in a way that encourages development, scientific advancement and knowledge production. The panels in this Session will explore data governance from two key approaches, best practices in data governance, and data governance from a collaborative model.
Panel 1.1: Open Data and the Need for Governance Frameworks
Organizing Chair: Angie Reymond & Susan Ariel Aaronson
The panel will consider open scientific data within the context of the data ecosystem. The panel will discuss current efforts in the area and will explore the opportunities arising from the lessons learned in the first iterations of open research data initiatives. The panel will discuss the creation of a framework to move the area forward.
Angie Raymond, Director Program on Data Management and Information Governance, Ostrom Workshop, Indiana University
Nafiz N. Karabudak, Corporate Global Science & Technology Manager, Lockheed Martin Corporation
Dr Beth Plate, Program Officer, US National Science Foundation;
Department of Intelligent Systems Engineering, Indiana University Bloomington
Panel 1.2: Data as a Governance and Development Issue
Organizing Chair: Angie Reymond & Susan Ariel Aaronson
Data is the foundation of a new economy that is not only transforming sectors such as education and healthcare, but how and when we produce goods and services. This new economy depends on our willingness to provide data. Without effective governance, trust in the industry will suffer.
Countries are just beginning to learn how to govern various types of data. Most countries have polices that govern the use of personal or proprietary data (such as trade secrets and employee information). Some require that all government-funded or public data be open to the public; some even require much public information to be available in machine-readable format so that computers can easily analyze it. But a majority of countries, including the United States, have not figured out how to effectively regulate the many different types and sheer volume of data we create and depend on every day. Governance matters a lot for data: how various types of data are governed could prove to be a decisive element in comparative advantage as well as trust in these new sectors.
This panel will explore data governance from 4 different perspectives.
Tom Lee, Director of Public Policy, Mapbox
Tom will examine "effective" data governance. He argues that policymakers rely on metaphors from the past that make sense for physical goods, but fall apart when applied to data.
Katherine (KC) Morris, ASME Legislative Fellow, Manufacturing, Representative Tom Reed and NIST.
KC will discuss the role of standards and the standards making process particularly related to AI.
Michael Pisa, Fellow, Center for Global Development.
Michael will discuss how data governance is a development issue and why it is important to help developing countries effectively govern data.
Susan Aaronson, GWU and CIGI.
Susan will discuss how data governance may affect comparative advantage.
Macro scale research transformation:
How government and funders effect change
Large scale projects that succeeded in transforming research have included the Library of Congress in 1800; the Brazilian research system, LATTES; and the Large Hadron Collider. Each project had grand ambitions, and changed the structure and direction for countries, continents and entire fields of research.
A recent example of a project that has the potential for large scale transformation is Plan S. In September 2018 a group of European research funding organizations (cOAlition S) announced Plan S calling for full and immediate Open Access to research funded by grants. This plan is supported by the European Commission and the European Research Council (ERC). Recently, the Wellcome Trust and Gates Foundation announced they will align their Open Access policies with Plan S.
In this session, we will hear from people who are involved in making macro-scale decisions within funders and government, from those responsible for effecting change, and from stakeholders who have to manage the consequences.
Science analytics for portfolio management and opportunity targeting
The digitization of scientific and technical content and metadata offers the potential to build an array of new tools to help in planning, managing, and assessing research programs and organizations. In this session, practitioners will present examples of tools that their organizations have developed and/or deployed to create new capabilities in the analysis of science.
Following these short demonstrations, audience members will be able to engage with the presenters to explore these capabilities and discuss their implications for how research is presented and organized. The tools are expected to include methods for analyzing research portfolios, identifying promising opportunity areas for future research, and communicating the value of scientific user facilities.
Managing the cycle of research planning, portfolio management, and evaluation
Motivated in part by the demonstrations in the previous session, this panel will explore how science funding organizations can improve the linkage between planning future programs, evaluating current R&D programs, and learning from funding program evaluations.
Through adopting a lifecycle approach, funders can enhance their capacity to learn from the measurement and evaluation of research portfolio, improve processes for shaping future R&D investments, and monitor and manage funded projects as they progress. What are the organizational and policy barriers that inhibit the efforts to take such a comprehensive approach to R&D strategy? What knowledge gaps persist in the cycle of planning, executing, and measuring research performance? How do funders forge a strategy as one element in a complex science funding environment?
Representatives of research sponsors will engage in a fireside chat to offer their reactions to the theme and engage in a conversation with the audience.
Entrepreneurialism, collaborations and economic impact
Throughout developed knowledge economies, research institutions and corporations are turning to each other to create public-private partnerships which result in benefit from shared endeavors, new insights and great efficiency. Part of this change in ethos is a new focus on translating research into everyday life: whether into clinical practise, daily routines, or effecting policy decisions. How do we measure, reward and encourage collaborations; and how do we adapt our cultural norms to fit all partners’ ethics?
A panel of speakers from government, academic institutions and corporations will share their experiences of running joint research programmes and planning for broader impact. A second group of speakers will reflect on the challenges of measuring broader impact, and reflecting on the cultural changes necessary for these academy/industry partnerships to succeed and catalyze future innovations.