Data for Policy 2017 – Government by Algorithm?

6-7 September 2017

Governments are being transformed under the impact of the digital revolution, although the speed of change is behind that of the commercial sector. Policy-makers in all domains are facing increasing pressures to interact with citizens more efficiently, and make better decisions in the light of data flooding in all forms, sophisticated computing technologies, and analytics methods.  The hierarchical structures of governments are also being challenged as these technologies equip individuals and informal networks with the necessary tools to better participate in public decision making processes, and have a societal impact at a much faster pace than ever before.  The concepts and tools from artificial intelligence, machine learning, big data analytics, Internet of Things (IoT), and now blockchain technologies are also likely to automate many services in the public sector, greatly increasing its efficiency but at the cost of potentially millions of jobs. ‘Smartification’ of people, devices, institutions, cities, and governments also brings constant, ubiquitous surveillance which, together with inference and recognition technologies, creates the potential to regulate human behaviour and may even threaten democracy.

 

Partners & Sponsors of Data for Policy 2017 Conference: 

  • University College London – Department of Computer Science and UCL Public Policy
  • University of Cambridge – Computer Laboratory and Centre for Science and Policy (CSaP)
  • UK Government Data Science Partnership – Government Office for Science (GOScience),
  • Office for National Statistics (ONS), and Government Digital Service (GDS)
  • All Party Parliamentary Group on Data Analytics, UK Parliament
  • Imperial College London – Data Science Institute
  • London School of Economics and Political Science – Department of Methodology
  • The Alan Turing Institute – UK National Institute for Data Science
  • The Royal Statistical Society
  • European Commission – Joint Research Centre and Eurostat
  • University of Oxford – Oxford Internet Institute
  • New York University – The Government Laboratory (GovLab) and the Open Governance Research Exchange (OGRX)
  • University of Essex – Institute for Analytics and Data Science
  • Essex County Council
  • UK Administrative Data Research Network (ADRN)
  • Privitar
  • CognitionX

 

Publications from Data for Policy 2017 Conference:

Allen, James T. (2017, September 4). The long-term effects of inherited wealth on social equality. Zenodo. http://doi.org/10.5281/zenodo.884495 Read more>>

Anderson, C. Leigh, Biscaye, Pierre E., Hayes, Adam L., Klawitter, Marieka M., & Travis, W. Reynolds. (2017, September 4). Public policy and the promise of digital credit for financial inclusion. Zenodo. http://doi.org/10.5281/zenodo.884186 Read more>>

Anderson, C. Leigh, Biscaye, Pierre E., & Reynolds, Travis W. (2017, September 4). National ID Programs: A Multi-Country Review and Analysis of Policy and Practical Challenges. Zenodo. http://doi.org/10.5281/zenodo.884178 Read more>>

Bauhr, Monika, Czibik, Agnes, Fazekas, Mihaly, & de Fine Licht, Jenny. (2017, September 19). Lights on the Shadows of Public Procurement. Zenodo. http://doi.org/10.5281/zenodo.896046 Read more>>

Chang, Marina, Huang, C. H., & Mian, I.S. (2017, September 4). Economic policy, “alternative data” and global agriculture: from the trans-Atlantic slave trade to agroecology Zenodo. http://doi.org/10.5281/zenodo.884503 Read more >>

De Ford, Peter, Cuervo, Javier, Khan, Farooq, & Johnson, Samuel. (2017, September 4). Indicators of humanitarian aid performance using online data: case-study of Afghanistan in 2015. Zenodo. http://doi.org/10.5281/zenodo.884482 Read more>>

Delacroix, Sylvie. (2017, September 21). Pervasive Data Profiling, Moral equality and Civic Responsibility. Zenodo. http://doi.org/10.5281/zenodo.903488 Read more>>

Desai, Tanvi. (2017, September 20). Disseminate Access Not Data. Zenodo. http://doi.org/10.5281/zenodo.897833 Read more>>

Edwards, Liz, Mullagh, Louise, Towe, Ross, Nundloll, Vatsala, Dean, Claire, Dean, Graham, … Blair, Gordon. (2017, September 4). Data-driven decisions for flood risk management. Zenodo. http://doi.org/10.5281/zenodo.884180 Read more>>

Heijlen, Roel, & Crompvoets, Joep. (2017, September 4). Clean data for cleaner air? Case study research about data streams concerning low-emission zones and car-free zones. Zenodo. http://doi.org/10.5281/zenodo.884076 Read more>>

Henman, Paul. (2017, September 4). The computer says ‘DEBT’: Towards a critical sociology of algorithms and algorithmic governance. Zenodo. 10.5281/zenodo.884116 Read more>>

Liccardi, Alexandre, Coudercy, Laurent, Dembski, Samuel, & Mauclerc, Anthony. (2017). An open source strategy for public online algorithms and data services: the French water information system experience. Zenodo. http://doi.org/10.5281/zenodo.1025783 Read More>>

Lowe, Sarah. (2017, September 25). The value of safe settings in evidence based policy making. Zenodo. http://doi.org/10.5281/zenodo.996037 Read more>>

Mateos-Garcia, Juan, Stathoulopoulos, Konstantinos, & Bashir Mohamed, Sahra. (2017). An (increasingly) visible college: Mapping and strengthening research and innovation networks with open data. Zenodo. http://doi.org/10.5281/zenodo.1014743 Read more>>

Mian, I.S, Twisleton, D., & Timm, D. (2017, September 4). What is the resource footprint of a computer science department? Place, People and Pedagogy. Zenodo. http://doi.org/10.5281/zenodo.884492 Read more>>

Myers, Hannah, & Naimpally, Rohit. (2017). Building Momentum for Evidence-Based Policymaking in State and Local Governments. http://doi.org/10.5281/zenodo.1053445 Read more >>

Naryan, Shivangi. (2017, September 4). What ails smart policing in India?. Zenodo. http://doi.org/10.5281/zenodo.884078 Read more>>

Ogbuju, Emeka. (2017, September 4). Towards a Data-driven Smart Governance in Nigeria. Zenodo. http://doi.org/10.5281/zenodo.884103 Read more>>

Peshave, Akshay, Memon, Siraj, Chavan, Vedmurtty, & Oates, Tim. (2017, September 4). Baltimore Housing Prices Disparity for Comparable Neighborhoods: A Case for Enabling Interactive,Visual Exploration of Neighborhoods. Zenodo. http://doi.org/10.5281/zenodo.884488 Read more>>

Phillips, Andelka M., & Mian, I.S. (2017, September 19). Governance and Assessment of Future Spaces: A Discussion of Some Issues Raised by the Possibilities of Human-Machine Mergers. Zenodo. http://doi.org/10.5281/zenodo.896110 Read more>>

Ritchie, Felix. (2017, September 20). ‘The Five Safes’: a framework for planning, designing and evaluating data access solutions. Zenodo. http://doi.org/10.5281/zenodo.897821 Read more>>

Sel, Marc, Diedrich, Henning, Demeester, Sander, & Stieber, Harald. (2017, September 4). How smart contracts can implement “report once”. Zenodo. http://doi.org/10.5281/zenodo.884497 Read more >>

Sluban, Borut, & Battiston, Stefano. (2017, September 15). Policy Co-creation in the Era of Data Science Zenodo. http://doi.org/10.5281/zenodo.892390 Read more >>

Welpton, Richard. (2017, September 20). Research Data Centres: The role of brokers for negotiating access to data. Zenodo. http://doi.org/10.5281/zenodo.897829 Read more>>

Williams, Dawn, Howarth, James, Cheng, Tao, & Blangiardo, Marta. (2017, September 4). Small Area Estimation of Public Confidence. Zenodo. http://doi.org/10.5281/zenodo.884184 Read more>>

Zilberman, Noa. (2017, September 4). Revolutionising Computing Infrastructure For Citizen Empowerment. Zenodo. http://doi.org/10.5281/zenodo.884160 Read more>>

Multimedia from Data for Policy 2017 Conference: 

 

Reflections: