Data Management Plan: HarassMap

Ten Simple Rules for Creating a Good Data Management Plan

Research papers and data products are key outcomes of the science enterprise. Governmental, nongovernmental, and private foundation sponsors of research are increasingly recognizing the value of research data. As a result, most funders now require that sufficiently detailed data management plans be submitted as part of a research proposal. A data management plan (DMP) is a document that describ...

Towards Probabilistic Plan Management

In temporally uncertain domains, taking uncertainty into account while planning leads to problems with scalability. One alternative to this is to plan deterministically and replan when execution deviates from schedule. In large, complex problems, however, replanning during execution can be prohibitively expensive. To address this, we have developed a general plan management framework called Pro...

Probabilistic Plan Management

The general problem of planning for uncertain domains remains a difficult challenge. Research that focuses on constructing plans by reasoning with explicit models of uncertainty has produced some promising mechanisms for coping with specific types of domain uncertainties; however, these approaches generally have difficulty scaling. Research in robust planning has alternatively emphasized the us...

Risk Management Plan in Large Urban Projects

One of the risks distinguishes urban projects from other projects is to purchase of property obstacles. The matter is of more significance in large projects. Issues with regard to possessing property obstacles, lack of accurate layout drawings for underground facilities and following probable changes in designs make it vital to have specific studies on risk management of such projects. So thi...

Plan Management for Robotic Agents